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CN118033488B - Method and device for detecting wire harness sequence of battery module - Google Patents

Method and device for detecting wire harness sequence of battery module Download PDF

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Publication number
CN118033488B
CN118033488B CN202410145557.8A CN202410145557A CN118033488B CN 118033488 B CN118033488 B CN 118033488B CN 202410145557 A CN202410145557 A CN 202410145557A CN 118033488 B CN118033488 B CN 118033488B
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wiring
error
connection
model
position prediction
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CN118033488A (en
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朱伟杰
张文慧
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Beijing Yankai Xinyuan Technology Co ltd
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Beijing Yankai Xinyuan Technology Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/58—Testing of lines, cables or conductors
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)

Abstract

The invention provides a method and a device for detecting the wire harness sequence of a battery module, wherein the obtained battery module and a detection device are matched and connected with each internal device to form a wire harness sequence detection circuit; obtaining an error connection point and an error connection type according to the LED lamp state data; training a wiring position prediction model, predicting a correct wiring position, calculating position prediction accuracy, correcting positions, acquiring corrected wiring failure tasks, and carrying out re-prediction; calculating a model updating value, and updating a wire connection position prediction model according to the model updating value until a wire connection failure task is cleared, wherein the invention can rapidly detect voltage wire bundles with wrong sequence for no more than 5s; the specific position of the line sequence error is indicated when the line sequence error faces the large-batch wiring error, and the corresponding correct wiring position is provided for correction of production personnel.

Description

Method and device for detecting wire harness sequence of battery module
Technical Field
The invention provides a method and a device for detecting the wire harness sequence of a battery module, and belongs to the technical field of energy storage and battery modules.
Background
Currently, more electrochemical batteries, such as lithium ion batteries and lead-acid batteries, are used in the energy storage industry and the electric automobile industry, and the battery modules formed by serially connecting a plurality of electric cores are required to collect the voltage and the temperature of each electric core and upload the voltage and the temperature to a main controller for information processing and monitoring so as to ensure the operation safety of the system. The FPC collection method has the characteristics of high consistency and high automation degree, and is mostly adopted in the automobile industry. The wireless acquisition method is currently in a research stage, and some automobile manufacturers start to try. The wire harness acquisition method is low in price, easy for small-scale production and still adopted in certain low-end automobile industries. Because the customization of energy storage products is strong, and the large-scale production is difficult, the wire harness acquisition method also occupies a large proportion in the energy storage industry. One problem that has been plagued with the harness collection method is that, during the mass production of the harnesses, the harness terminal pins are manually inserted, and the misplacement of the individual pins is difficult to completely avoid. Finally, after the wire harness with the wrong sequence is connected to the battery module, the wire harness terminal is connected with a Battery Management Unit (BMU), wrong voltage is generated by the wrong wire harness sequence, the BMU is burnt out, and large loss is caused. Therefore, the invention provides a reliable and rapid detection method and device, which can rapidly detect the wire harness in the wrong sequence and indicate the wrong position before connecting the BMU, thereby improving the efficiency for batch manufacturing of the battery modules.
Disclosure of Invention
The invention provides a method and a device for detecting the sequence of a battery module wire harness, which are used for solving the problem that the misplacement of individual contact pins is difficult to completely avoid by manually inserting the contact pins of a wire harness terminal in the process of manufacturing the wire harness in batch production. Finally, after the wire harness with wrong sequence is connected to the battery module, the wire harness terminal is connected with a Battery Management Unit (BMU), wrong voltage is generated by wrong wire harness sequence, the BMU is burnt out, and large loss is caused, meanwhile, when the sequence error amount is huge, the correct connection position of the wire harness can not be identified quickly and accurately through manpower, and the problems of time and labor waste and the like are solved:
The invention provides a method and a device for detecting the wire harness sequence of a battery module, wherein the method comprises the following steps:
s1, matching the obtained battery module with a detection device and connecting all internal devices to form a wire harness sequence detection circuit;
S2, acquiring an error connection point and an error connection type according to the LED lamp state data of the wire harness sequence detection circuit;
S3, training a wiring position prediction model, predicting a correct wiring position, calculating a position prediction accuracy, correcting the position of a wiring error point according to the position prediction accuracy, acquiring a corrected wiring failure task, and carrying out re-prediction;
and S4, calculating a model updating value, and updating the wiring position prediction model according to the model updating value until the wiring failure task is cleared.
Further, the step S1 includes:
s11, connecting a plurality of battery cells in series to form a battery module, connecting the anode end of each battery cell with a terminal, matching the interface of the detection device with the terminal of the battery module,
S12, each terminal of the battery module is correspondingly connected with each self-recovery fuse of the detection device, the output end of each self-recovery fuse is connected with each surge protector and each current limiting resistor, the output end of each current limiting resistor is connected with a conducting diode, the output end of each conducting diode is connected with an LED lamp, the output end of each LED lamp is connected with the terminal of the next battery cell, the current limiting resistor is adjusted, the LED lamps are in a half-bright state when the wire harness is connected with the correct terminal, and the wire harness sequence detection circuit is obtained.
Further, the step S2 includes:
s21, acquiring state data of the LED lamp, and acquiring and marking a wiring error point according to the state data of the LED lamp;
s22, judging the wrong connection type according to the marked wrong connection points and the LED lamp state data.
Further, the step S3 includes:
S31, when the number of the wiring error points exceeds 1/3 of the total wiring number, historical wiring data are obtained, a wiring position prediction model is trained through the historical wiring data, and the correct wiring position of each wiring error point is predicted through the wiring position prediction model;
S32, calculating the position prediction accuracy of each wiring error point, reconnecting the wiring harness of each wiring error point from high to low according to the position prediction accuracy of each wiring error point, removing the wiring harness with successful wiring from the task to be wired, obtaining a task with failed wiring, and carrying out the re-prediction of the correct wiring position of the task with failed wiring through a wiring position prediction model.
Further, the step S4 includes:
s41, calculating a model update value according to the wiring failure task information and combining the number of position re-prediction times;
S42, updating the wiring position prediction model according to the model updating value, re-predicting according to the updated wiring position prediction model, and correcting wiring until the wiring failure task is cleared.
Further, the apparatus comprises:
the circuit connection module is used for matching the acquired battery module with the detection device and connecting all internal devices to form a wire harness sequence detection circuit;
The error detection module is used for acquiring an error connection point and an error connection type according to the LED lamp state data of the wire harness sequence detection circuit;
The position prediction module is used for training a wiring position prediction model, predicting a correct wiring position, calculating a position prediction accuracy, correcting the position of a wiring error point according to the position prediction accuracy, acquiring a corrected wiring failure task, and carrying out re-prediction;
And the model updating module is used for calculating a model updating value, updating the wire connection position prediction model according to the model updating value, and clearing the wire connection failure task.
Further, the circuit connection module includes:
A matching module for connecting a plurality of battery cells in series to form a battery module, wherein the anode end of each battery cell is connected with a terminal, the interface of the detection device is matched with the terminal of the battery module,
The connection module is used for correspondingly connecting each terminal of the battery module with each self-recovery fuse of the detection device, the output end of each self-recovery fuse is connected with each surge protector and each current limiting resistor respectively, the output end of each current limiting resistor is connected with a conducting diode, the output end of each conducting diode is connected with an LED lamp, the output end of each LED lamp is connected with the terminal of the next cell, and the current limiting resistor is adjusted, so that the LED lamps are in a half-lighting state when the wire harness is connected with the correct terminal, and the wire harness sequence detection circuit is obtained.
Further, the error detection module includes:
the error point acquisition module is used for acquiring the state data of the LED lamp, and acquiring and marking wiring error points according to the state data of the LED lamp;
and the type judging module is used for judging the wrong connection type according to the marked wrong connection point and the LED lamp state data.
Further, the position prediction module includes:
The model training module is used for acquiring historical wiring data when the number of wiring error points exceeds 1/3 of the total wiring number, training a wiring position prediction model through the historical wiring data, and predicting the correct wiring position of each wiring error point through the wiring position prediction model;
The calculation correction module is used for calculating the position prediction accuracy of each wiring error point, reconnecting the wiring harness of each wiring error point from high to low according to the position prediction accuracy of each wiring error point, removing the wiring harness with successful wiring from the task to be wired, obtaining a task with failed wiring, and carrying out the re-prediction of the correct wiring position of the task with failed wiring through the wiring position prediction model.
Further, the model updating module includes:
The updating calculation module is used for calculating a model updating value according to the wiring failure task information and combining the position re-prediction times;
and the updating correction module is used for updating the wiring position prediction model according to the model updating value, re-predicting according to the updated wiring position prediction model, and correcting wiring until the wiring failure task is cleared.
The invention has the beneficial effects that: the invention can rapidly detect the voltage wire harness with wrong sequence, which is not more than 5s; the specific position of the line sequence error is indicated when the line sequence error faces the large-batch wiring error, and the corresponding correct wiring position is provided for correction of production personnel. According to the scheme, the process of sequentially detecting the voltage wire harnesses of the battery module only needs a few seconds, and batch detection can be efficiently completed. The position of wiring errors can be accurately detected and corrected, and production workers can conveniently correct the errors. No external power supply and programming are needed, and the cost is low. The matching and connection of the battery module and the detection device ensure the compatibility between the battery module and the detection device, and a stable wire harness sequence detection circuit is formed through the connection of internal devices, so that a foundation is provided for subsequent detection and positioning. The connection sequence of the wire harness can be monitored in real time through the state data of the LED lamps. When the LED lamp is found to be abnormal in display, the LED lamp can be rapidly positioned to the error connection point, and the type of error is preliminarily judged. A wire position prediction model is trained based on the type of error detected. The model can predict the correct wiring position based on the current data and calculate the accuracy of the position prediction. According to the predicted accuracy, the position of the error point can be corrected rapidly, and potential problems caused by incorrect connection are avoided. Re-prediction of the wiring failure task: and predicting the corrected wiring failure task again by the system to ensure that all tasks are correctly processed. This ensures the accuracy of the whole flow, improving the connection efficiency between the battery module and the detection device. Model updating and iteration: based on the success and failure of each task, an updated value of the model is calculated. The updated value reflects the performance and accuracy of the model and provides basis for continuous optimization of the model. And continuously updating the wiring position prediction model according to the updated value until all wiring failure tasks are cleared. The model can adapt to different environments and working conditions, and the accuracy and stability of prediction of the model are improved. Closed loop and continuous improvement of flow: the process forms a closed loop from detection, mislocalization, correction of the wiring harness to continuous updating of the model. Through continuous iteration and optimization, the connection efficiency and accuracy between the battery module and the detection device can be improved. This not only reduces the need for manual intervention and inspection, but also improves overall work efficiency and production reliability.
Drawings
FIG. 1 is a schematic diagram of a method for detecting a wire harness sequence of a battery module;
fig. 2 is a schematic diagram of an apparatus for detecting a wire harness sequence of a battery module.
Detailed Description
In order that the above-recited objects, features and advantages of the present application will be more clearly understood, a more particular description of the application will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It should be noted that, without conflict, the embodiments of the present application and features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, and the described embodiments are merely some, rather than all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
In one embodiment of the present invention, the method and apparatus for detecting the wire harness sequence of a battery module provided by the present invention, the method includes:
s1, matching the obtained battery module with a detection device and connecting all internal devices to form a wire harness sequence detection circuit;
S2, acquiring an error connection point and an error connection type according to the LED lamp state data of the wire harness sequence detection circuit;
S3, training a wiring position prediction model, predicting a correct wiring position, calculating a position prediction accuracy, correcting the position of a wiring error point according to the position prediction accuracy, acquiring a corrected wiring failure task, and carrying out re-prediction;
and S4, calculating a model updating value, and updating the wiring position prediction model according to the model updating value until the wiring failure task is cleared.
The working principle of the technical scheme is as follows: firstly, matching the obtained battery module with a detection device and connecting all internal devices to form a wire harness sequence detection circuit; then, obtaining an error connection point and an error connection type according to the LED lamp state data of the wire harness sequence detection circuit; training a wiring position prediction model, predicting a correct wiring position, calculating position prediction accuracy, correcting positions of wiring error points according to the position prediction accuracy, acquiring corrected wiring failure tasks, and carrying out re-prediction; and finally, calculating a model updating value, and updating the wiring position prediction model according to the model updating value until the wiring failure task is cleared.
The technical scheme has the effects that: the matching and connection of the battery module and the detection device ensure the compatibility between the battery module and the detection device, and a stable wire harness sequence detection circuit is formed through the connection of internal devices, so that a foundation is provided for subsequent detection and positioning. The connection sequence of the wire harness can be monitored in real time through the state data of the LED lamps. When the LED lamp is found to be abnormal in display, the LED lamp can be rapidly positioned to the error connection point, and the type of error is preliminarily judged. A wire position prediction model is trained based on the type of error detected. The model can predict the correct wiring position based on the current data and calculate the accuracy of the position prediction. According to the predicted accuracy, the position of the error point can be corrected rapidly, and potential problems caused by incorrect connection are avoided. Re-prediction of the wiring failure task: and predicting the corrected wiring failure task again by the system to ensure that all tasks are correctly processed. This ensures the accuracy of the whole flow, improving the connection efficiency between the battery module and the detection device. Model updating and iteration: based on the success and failure of each task, an updated value of the model is calculated. The updated value reflects the performance and accuracy of the model and provides basis for continuous optimization of the model. And continuously updating the wiring position prediction model according to the updated value until all wiring failure tasks are cleared. The model can adapt to different environments and working conditions, and the accuracy and stability of prediction of the model are improved. Closed loop and continuous improvement of flow: the process forms a closed loop from detection, mislocalization, correction of the wiring harness to continuous updating of the model. Through continuous iteration and optimization, the connection efficiency and accuracy between the battery module and the detection device can be improved. This not only reduces the need for manual intervention and inspection, but also improves overall work efficiency and production reliability.
In one embodiment of the present invention, the S1 includes:
s11, connecting a plurality of battery cells in series to form a battery module, connecting the anode end of each battery cell with a terminal, matching the interface of the detection device with the terminal of the battery module,
S12, each terminal of the battery module is correspondingly connected with each self-recovery fuse of the detection device, the output end of each self-recovery fuse is connected with each surge protector and each current limiting resistor, the output end of each current limiting resistor is connected with a conducting diode, the output end of each conducting diode is connected with an LED lamp, the output end of each LED lamp is connected with the terminal of the next battery cell, the current limiting resistor is adjusted, the LED lamps are in a half-bright state when the wire harness is connected with the correct terminal, and the wire harness sequence detection circuit is obtained.
The working principle of the technical scheme is as follows: the method comprises the steps of connecting a plurality of battery cells in series to form a battery module, connecting an anode end of each battery cell with a terminal, matching an interface of a detection device with the terminal of the battery module, correspondingly connecting each terminal of the battery module with each self-recovery fuse of the detection device, connecting an output end of each self-recovery fuse with each surge protector and a current limiting resistor, connecting an output end of each current limiting resistor with a conducting diode, connecting an output end of each conducting diode with an LED lamp, connecting an output end of each LED lamp with a terminal of the next battery cell, adjusting the current limiting resistor, enabling the LED lamps to be in a half-bright state when a wire harness is connected with a correct terminal, and obtaining a wire harness sequence detection circuit, wherein the half-bright state is half of a voltage value when the current limiting resistor is adjusted, and the terminals of each battery cell are respectively provided with the surge protector, the current limiting resistor, the conducting diode and the LED lamp which are correspondingly connected with the terminals. The turn-on diode has forward conduction.
The technical scheme has the effects that: can be connected battery module and detection device through the terminal, carry out low-cost and succinct wiring detection to battery module, protect the circuit that probably receives the instantaneous voltage influence that misconnection produced through surge protector, can restrict the electric current through current limiting resistor, when guaranteeing that the circuit is normally connected, the LED lamp is in half bright state, can guarantee through self-recovery fuse that the wiring is corrected after, the circuit can resume normal fast, can distinguish whether the wiring is correct through the LED lamp to show wiring error position. The method can rapidly detect the voltage wire harnesses with wrong sequence, and the detection time is not more than 5s; and indicating the specific position of the line sequence error when the line sequence error is faced with a large quantity of line sequence errors, so as to be corrected by production personnel. According to the scheme, the process of sequentially detecting the voltage wire harnesses of the battery module only needs a few seconds, and batch detection can be efficiently completed. The position of wiring errors can be accurately detected, and production workers can conveniently correct the errors. No external power supply and programming are needed, and the cost is low.
In one embodiment of the present invention, the S2 includes:
s21, acquiring state data of the LED lamp, and acquiring and marking a wiring error point according to the state data of the LED lamp;
s22, judging the wrong connection type according to the marked wrong connection points and the LED lamp state data.
The working principle of the technical scheme is as follows: acquiring state data of the LED lamp, and acquiring and marking wiring error points according to the state data of the LED lamp; the LED lamp state data comprises a half-bright state, a full-bright state and a non-bright state. When the LED lamp is in a non-bright state or a full-bright state, the corresponding wire harness of the LED lamp is connected in error, the corresponding wire harness is marked with error points, and when the LED lamp is in a half-bright state, the corresponding wire harness of the LED lamp is connected correctly, and the corresponding wire harness is marked with correct connection; the corresponding wire harness is the wire harness where the LED lamp is located. Judging the wrong connection type according to the marked wrong connection points and the state data of the LED lamp; the error connection type comprises two types of adjacent line error connection and non-adjacent line error connection; when the voltage difference between two adjacent wire harnesses is negative, the LED lamp of one wire harness is not on, the LED lamp of the other wire harness is on, the adjacent wires are connected in error, when one wire harness in the non-adjacent wire harnesses and one wire harness adjacent to the wire harness are blown out from the fuse wire, the corresponding LED lamp is not on, and when the other wire harness and one wire harness adjacent to the wire harness are not on, the other wire harness is not adjacent to the wire harness. For example: as shown in fig. 2, the current limiting resistor R is adjusted to make the LED lamp in a semi-bright state when the normal battery module is connected, and the adjacent two wires are connected incorrectly, for example, the C2 and C3 wires are connected incorrectly, the sequence intermodulation, and the voltage difference between the detection device and the corresponding C2-C3 is negative, so that the LED2 does not emit light due to the forward conduction of the diode. Indicating a misordering of the harness at C2. The voltage difference between the positions corresponding to C3 and C4 of the detection device is increased by 1 time due to the fact that the misconnection is C2, the LED3 is fully lighted, and the fact that the sequence of the wire harness is wrong is indicated; if the positions of the non-adjacent two wires are misplaced, for example, the positions of the C2 and the C10 are exchanged, the voltage at the position corresponding to the position of the C10 of the detection device rises 8 times, so that the voltage difference between the upper node and the lower node at the position of the C10 rises dramatically, the SPD10 and the SPD11 are conducted, high current is generated, the F10 and F11 fuses are blown, and the LED10 and the LED11 indicator lamps are not lightened, so that the wiring errors are indicated. Similarly, the situation at C2 is similar, LED1 and LED2 lights are not illuminated, indicating a wiring error here. After correcting the error, the self-recovery fuse is recovered to be normal, and all LEDs are in a semi-bright state.
The technical scheme has the effects that: through detection device, can real-time supervision LED lamp's operating condition. The data includes three states: half bright, full bright and no bright. Each state corresponds to different electrical characteristics, and provides a basis for subsequent error judgment. When the LED lamp is in an unlit or fully lit state, this means that there may be an error in the harness connection to which the LED lamp corresponds. The system automatically marks the error points of the wire harness, and provides basic data for subsequent error type judgment. When the LED lamp is in a half-bright state, the wire harness connection is normal. The system can carry out correct connection labeling on the wire harness, so that misjudgment in subsequent operation is avoided. The system can further judge the type of the misconnection by combining the marked misconnection point and the state data of the LED lamp. The error type is mainly divided into two types: adjacent wire misconnection and non-adjacent wire misconnection. These two types represent different wiring error patterns, providing basis for subsequent correction and model training. Adjacent wire misconnection occurs between two adjacent wires, possibly due to misalignment, crossover, or confusion. Such errors can be identified by the status data of the LED lamp. Non-adjacent wire-bonding errors occur between two non-adjacent wires, typically due to identification or marking errors. Also, such errors can be identified and noted by the status data of the LED lamp. Through the steps, the wiring error point can be quickly and accurately found, and the error type can be classified and marked. The efficiency of detection and correction is greatly improved, the need of manual intervention is reduced, and the accuracy and efficiency of the whole work are improved. And the cost is very low, and the manpower, material resources and time are saved.
In one embodiment of the present invention, the S3 includes:
S31, when the number of the wiring error points exceeds 1/3 of the total wiring number, historical wiring data are obtained, a wiring position prediction model is trained through the historical wiring data, and the correct wiring position of each wiring error point is predicted through the wiring position prediction model;
s32, calculating the position prediction accuracy of each wiring error point, reconnecting the wiring harness of each wiring error point from high to low according to the position prediction accuracy of each wiring error point, removing the wiring harness with successful wiring from the task to be wired, obtaining a task with failed wiring, and carrying out the re-prediction of the correct wiring position of the task with failed wiring through a wiring position prediction model. And taking the correct wiring position with the most predicted times of the same wiring error point as the final wiring position.
And carrying out multiple predictions of the correct wiring positions of each wiring error point, and calculating the position prediction accuracy of each wiring error point according to the prediction result.
The calculation formula of the position prediction accuracy is as follows:
Wherein, Z yci is the position prediction accuracy of the ith wiring error point, W gi is the number of uncorrected wiring error points for cutting off the ith wiring error point, Z g is the total wiring error point number, B ci is the number of times of predicting different correct wiring positions of the ith wiring error point, and X ci is the number of times of predicting the same correct wiring positions of the ith wiring error point. The wrong connection point represents the corresponding wire harness, and the correct connection position represents the terminal that should be connected.
The working principle of the technical scheme is as follows: when the number of the wiring error points exceeds 1/3 of the total wiring number, historical wiring data are obtained, a wiring position prediction model is trained through the historical wiring data, and the correct wiring position of each wiring error point is predicted through the wiring position prediction model; the historical wiring data comprise historical wiring error points, historical wire harness voltage change values, historical correction reconnection data and the like. The correct wiring position of each wiring error point can be predicted by a wiring position prediction model, and each wiring position is marked in training data. When the number of the miswiring points is less than or equal to 1/3 of the total wiring number, manual correction can be performed. Calculating the position prediction accuracy of each wiring error point, reconnecting the wiring harness of each wiring error point from high to low according to the position prediction accuracy of each wiring error point, removing the wiring harness with successful wiring from the task to be wired, obtaining a wiring failure task, and carrying out correct wiring position re-prediction on the wiring failure task through a wiring position prediction model. And reconnecting the wiring error point corresponding to the wiring harness with the highest position prediction accuracy until all wiring error points are reconnected, wherein the wiring task to be connected comprises all wiring error points, and after the wiring error points are reconnected successfully, the wiring error points which are connected with the wiring task to be connected with the wiring are removed, and the wiring error points which are connected with the wiring failure are the wiring failure task. And (5) carrying out position re-prediction on the line connection failure task. When the denominator in the formula is zero, then no formula calculation is required.
The technical scheme has the effects that: the system automatically acquires historical wiring data, wherein the data comprises historical wiring error points, historical wire harness voltage change values, historical correction reconnection data and the like. These data provide valuable experience and reference for training a wire position prediction model. Based on the historical wiring data, the system may train a wiring location prediction model. The model is capable of predicting the correct wiring location for each wiring error point based on historical data and current data. Through the wiring position prediction model, the system can predict the correct wiring position of each wiring error point. In the training data, each wiring location has been labeled, which provides the basis for prediction. When the number of miswiring points is less than or equal to 1/3 of the total number of wiring points, manual correction can be selected. This combination ensures a balance of efficiency and accuracy. The system calculates the position prediction accuracy of each wiring error point according to the output of the wiring position prediction model. By the formulaThe ratio of the miswiring points of the residual incorrect wiring in the total number can be calculated by the formulaThe prediction complexity of the ith wiring error point can be calculated, and in contrast, the larger the result of the I X ci-Bci I is, the more accurate the prediction is, and the prediction is calculated by the formulaThe ratio of the same point predicted to different points predicted can be calculated, and the larger the same point is, the higher the accuracy is. This provides a basis for subsequent reconnections. And (3) predicting the accuracy according to the position of each miswiring point, and reconnecting the wire bundles from high to low. After reconnection, the successfully wired harness is automatically removed from the task to be wired. The method reduces the predicted quantity while ensuring that the wiring error points can be corrected correctly; the remaining wire failure tasks will be further re-predicted by the system. And after each reconnection and re-prediction, updating the wiring position prediction model according to the result. Such updating ensures continued accuracy and adaptability of the model. The process forms a closed loop from historical data acquisition, model training, prediction, reconnection and model updating to new wiring task processing, and high-efficiency and accurate wiring operation is ensured.
In one embodiment of the present invention, the S4 includes:
s41, calculating a model update value according to the wiring failure task information and combining the number of position re-prediction times;
S42, updating the wiring position prediction model according to the model updating value, re-predicting according to the updated wiring position prediction model, and correcting wiring until the wiring failure task is cleared.
The calculation formula of the model update value is as follows:
Wherein G mo is a model update value, c is the number of position re-predictions, The number of the connection failure tasks predicted for the e-th position is reduced, Z rg is the total number of the connection failure tasks, Z g is the total number of the connection error points, S ci is the number of connection failure times of the i-th connection error point, Z jxc is the total number of connection times, and Z ycp is the average value of the position prediction accuracy of all the connection error points.
Comparing the model update value with a preset update threshold, updating (retraining) the model when the model update value is greater than the preset update threshold, and continuing to use the model when the model update value is less than or equal to the preset update threshold.
The working principle of the technical scheme is as follows: calculating a model update value according to the wiring failure task information and combining the position re-prediction times; updating the wiring position prediction model according to the model updating value, re-predicting according to the updated wiring position prediction model, and correcting wiring until the wiring failure task is cleared.
The technical scheme has the effects that: the system will record and analyze each time the wiring fails the task information, including the error type, location, etc. This information provides the underlying data for subsequent model updates. Based on the number of failed wiring tasks and the number of position re-predictions, the system can calculate a model update value. By the formulaThe ratio of the correction number to the total correction number in the re-prediction process of all positions can be calculated by the formulaThe ratio of the number of the wiring errors to the total wiring times can be calculated byThe duty cycle of the average correct rate relative to the average error rate can be calculated; this value reflects the current performance and accuracy of the model and also provides direction for optimization of the model. Based on the calculated model update values, the system automatically updates the wire position prediction model. The updating may include parameter adjustment, algorithm optimization, etc., to improve the prediction accuracy and stability of the model. And using the updated wiring position prediction model, the system can re-predict the wiring failure task. Based on the result of the re-prediction, the system will automatically or manually correct the error. Once the re-prediction and correction is completed, the system will check if the wiring failure task is cleared.
If there are remaining wire failure tasks, the system will continue with a cycle of model update, re-prediction and correction. This cycle continues until all of the wire fail tasks are cleared. Through the iterative and optimization processes described above, the wiring location prediction model becomes increasingly more accurate and stable. When facing a large number of misinterpretation tasks, the method not only improves the overall working efficiency, but also reduces the need of manual intervention, and ensures the accuracy and reliability of wiring.
In one embodiment of the invention, the apparatus comprises:
the circuit connection module is used for matching the acquired battery module with the detection device and connecting all internal devices to form a wire harness sequence detection circuit;
The error detection module is used for acquiring an error connection point and an error connection type according to the LED lamp state data of the wire harness sequence detection circuit;
The position prediction module is used for training a wiring position prediction model, predicting a correct wiring position, calculating a position prediction accuracy, correcting the position of a wiring error point according to the position prediction accuracy, acquiring a corrected wiring failure task, and carrying out re-prediction;
And the model updating module is used for calculating a model updating value, updating the wire connection position prediction model according to the model updating value, and clearing the wire connection failure task.
The working principle of the technical scheme is as follows: the circuit connection module is used for matching the acquired battery module with the detection device and connecting all internal devices to form a wire harness sequence detection circuit; the error detection module is used for acquiring an error connection point and an error connection type according to the LED lamp state data of the wire harness sequence detection circuit; the position prediction module is used for training a wiring position prediction model, predicting a correct wiring position, calculating a position prediction accuracy, correcting the position of a wiring error point according to the position prediction accuracy, acquiring a corrected wiring failure task, and carrying out re-prediction; the model updating module is used for calculating a model updating value, and updating the wire connection position prediction model according to the model updating value until the wire connection failure task is cleared.
The technical scheme has the effects that: the matching and connection of the battery module and the detection device ensure the compatibility between the battery module and the detection device, and a stable wire harness sequence detection circuit is formed through the connection of internal devices, so that a foundation is provided for subsequent detection and positioning. The connection sequence of the wire harness can be monitored in real time through the state data of the LED lamps. When the LED lamp is found to be abnormal in display, the LED lamp can be rapidly positioned to the error connection point, and the type of error is preliminarily judged. A wire position prediction model is trained based on the type of error detected. The model can predict the correct wiring position based on the current data and calculate the accuracy of the position prediction. According to the predicted accuracy, the position of the error point can be corrected rapidly, and potential problems caused by incorrect connection are avoided. Re-prediction of the wiring failure task: and predicting the corrected wiring failure task again by the system to ensure that all tasks are correctly processed. This ensures the accuracy of the whole flow, improving the connection efficiency between the battery module and the detection device. Model updating and iteration: based on the success and failure of each task, an updated value of the model is calculated. The updated value reflects the performance and accuracy of the model and provides basis for continuous optimization of the model. And continuously updating the wiring position prediction model according to the updated value until all wiring failure tasks are cleared. The model can adapt to different environments and working conditions, and the accuracy and stability of prediction of the model are improved. Closed loop and continuous improvement of flow: the process forms a closed loop from detection, mislocalization, correction of the wiring harness to continuous updating of the model. Through continuous iteration and optimization, the connection efficiency and accuracy between the battery module and the detection device can be improved. This not only reduces the need for manual intervention and inspection, but also improves overall work efficiency and production reliability.
In one embodiment of the present invention, the circuit connection module includes:
A matching module for connecting a plurality of battery cells in series to form a battery module, wherein the anode end of each battery cell is connected with a terminal, the interface of the detection device is matched with the terminal of the battery module,
The connection module is used for correspondingly connecting each terminal of the battery module with each self-recovery fuse of the detection device, the output end of each self-recovery fuse is connected with each surge protector and each current limiting resistor respectively, the output end of each current limiting resistor is connected with a conducting diode, the output end of each conducting diode is connected with an LED lamp, the output end of each LED lamp is connected with the terminal of the next cell, and the current limiting resistor is adjusted, so that the LED lamps are in a half-lighting state when the wire harness is connected with the correct terminal, and the wire harness sequence detection circuit is obtained.
The working principle of the technical scheme is as follows: the matching module is used for connecting a plurality of battery cores in series to form a battery module, the anode end of each battery core is connected with a terminal, an interface of the detection device is matched with the terminal of the battery module, the connecting module is used for respectively and correspondingly connecting each terminal of the battery module with each self-recovery fuse of the detection device, the output end of each self-recovery fuse is respectively connected with each surge protector and each current limiting resistor, the output end of each current limiting resistor is connected with a conducting diode, the output end of each conducting diode is connected with an LED lamp, the output end of each LED lamp is connected with the terminal of the next battery core, the current limiting resistor is adjusted, the LED lamps are in a half-on state when the wire harness is connected with the correct terminal, a wire harness sequence detection circuit is obtained, the half-on state is half of the voltage value when the current limiting resistor is adjusted, and the terminals of each battery core are respectively provided with the surge protector, the current limiting resistor, the conducting diode and the LED lamp which are correspondingly connected. The turn-on diode has forward conduction.
The technical scheme has the effects that: can be connected battery module and detection device through the terminal, carry out low-cost and succinct wiring detection to battery module, protect the circuit that probably receives the instantaneous voltage influence that misconnection produced through surge protector, can restrict the electric current through current limiting resistor, when guaranteeing that the circuit is normally connected, the LED lamp is in half bright state, can guarantee through self-recovery fuse that the wiring is corrected after, the circuit can resume normal fast, can distinguish whether the wiring is correct through the LED lamp to show wiring error position. The method can rapidly detect the voltage wire harnesses with wrong sequence, and the detection time is not more than 5s; and indicating the specific position of the line sequence error when the line sequence error is faced with a large quantity of line sequence errors, so as to be corrected by production personnel. According to the scheme, the process of sequentially detecting the voltage wire harnesses of the battery module only needs a few seconds, and batch detection can be efficiently completed. The position of wiring errors can be accurately detected, and production workers can conveniently correct the errors. No external power supply and programming are needed, and the cost is low.
In one embodiment of the present invention, the error detection module includes:
the error point acquisition module is used for acquiring the state data of the LED lamp, and acquiring and marking wiring error points according to the state data of the LED lamp;
and the type judging module is used for judging the wrong connection type according to the marked wrong connection point and the LED lamp state data.
The working principle of the technical scheme is as follows: the error point acquisition module is used for acquiring the state data of the LED lamp, and acquiring and marking wiring error points according to the state data of the LED lamp; the LED lamp state data comprises a half-bright state, a full-bright state and a non-bright state. When the LED lamp is in a non-bright state or a full-bright state, the corresponding wire harness of the LED lamp is connected in error, the corresponding wire harness is marked with error points, and when the LED lamp is in a half-bright state, the corresponding wire harness of the LED lamp is connected correctly, and the corresponding wire harness is marked with correct connection; the corresponding wire harness is the wire harness where the LED lamp is located. The type judging module is used for judging the wrong connection type according to the marked wrong connection points and the state data of the LED lamp; the error connection type comprises two types of adjacent line error connection and non-adjacent line error connection; when the voltage difference between two adjacent wire harnesses is negative, the LED lamp of one wire harness is not on, the LED lamp of the other wire harness is on, the adjacent wires are connected in error, when one wire harness in the non-adjacent wire harnesses and one wire harness adjacent to the wire harness are blown out from the fuse wire, the corresponding LED lamp is not on, and when the other wire harness and one wire harness adjacent to the wire harness are not on, the other wire harness is not adjacent to the wire harness. For example: as shown in fig. 2, the wire harness sequence detecting circuit includes: the self-recovery fuses F1-Fn, the surge protectors SPD 1-SPDn, the current limiting resistors R1-Rn, the conducting diodes D1-Dn and the LED light emitting diodes LED 1-LEDn used for indication are connected in series, wherein n is the number of batteries; for example, the C2 and C3 wires are connected in a wrong way and intermodulation is performed in sequence, and if the voltage difference between the corresponding C2 and C3 wires of the detection device is negative, the LED2 does not emit light due to the forward conduction of the diode. Indicating a misordering of the harness at C2. The voltage difference between the positions corresponding to C3 and C4 of the detection device is increased by 1 time due to the fact that the misconnection is C2, the LED3 is fully lighted, and the fact that the sequence of the wire harness is wrong is indicated; if the positions of the non-adjacent two wires are misplaced, for example, the positions of the C2 and the C10 are exchanged, the voltage at the position corresponding to the position of the C10 of the detection device rises 8 times, so that the voltage difference between the upper node and the lower node at the position of the C10 rises dramatically, the SPD10 and the SPD11 are conducted, high current is generated, the F10 fuse wire and the F11 fuse wire are fused, the LED10 indicator lamp and the LED11 indicator lamp are not lightened, and the wiring error is indicated. Similarly, the situation at C2 is similar, LED1 and LED2 lights are not illuminated, indicating a wiring error here. After correcting the error, the self-recovery fuse is recovered to be normal, and all LEDs are in a semi-bright state.
The technical scheme has the effects that: through detection device, can real-time supervision LED lamp's operating condition. The data includes three states: half bright, full bright and no bright. Each state corresponds to different electrical characteristics, and provides a basis for subsequent error judgment. When the LED lamp is in an unlit or fully lit state, this means that there may be an error in the harness connection to which the LED lamp corresponds. The system automatically marks the error points of the wire harness, and provides basic data for subsequent error type judgment. When the LED lamp is in a half-bright state, the wire harness connection is normal. The system can carry out correct connection labeling on the wire harness, so that misjudgment in subsequent operation is avoided. The system can further judge the type of the misconnection by combining the marked misconnection point and the state data of the LED lamp. The error type is mainly divided into two types: adjacent wire misconnection and non-adjacent wire misconnection. These two types represent different wiring error patterns, providing basis for subsequent correction and model training. Adjacent wire misconnection occurs between two adjacent wires, possibly due to misalignment, crossover, or confusion. Such errors can be identified by the status data of the LED lamp. Non-adjacent wire-bonding errors occur between two non-adjacent wires, typically due to identification or marking errors. Also, such errors can be identified and noted by the status data of the LED lamp. Through the steps, the wiring error point can be quickly and accurately found, and the error type can be classified and marked. The efficiency of detection and correction is greatly improved, the need of manual intervention is reduced, and the accuracy and efficiency of the whole work are improved. And the cost is very low, and the manpower, material resources and time are saved.
In one embodiment of the present invention, the location prediction module includes:
The model training module is used for acquiring historical wiring data when the number of wiring error points exceeds 1/3 of the total wiring number, training a wiring position prediction model through the historical wiring data, and predicting the correct wiring position of each wiring error point through the wiring position prediction model;
The calculation correction module is used for calculating the position prediction accuracy of each wiring error point, reconnecting the wiring harness of each wiring error point from high to low according to the position prediction accuracy of each wiring error point, removing the wiring harness with successful wiring from the task to be wired, obtaining a task with failed wiring, and carrying out the re-prediction of the correct wiring position of the task with failed wiring through the wiring position prediction model.
The working principle of the technical scheme is as follows: the model training module is used for acquiring historical wiring data when the number of wiring error points exceeds 1/3 of the total wiring number, training a wiring position prediction model through the historical wiring data, and predicting the correct wiring position of each wiring error point through the wiring position prediction model; the historical wiring data comprise historical wiring error points, historical wire harness voltage change values, historical correction reconnection data and the like. The correct wiring position of each wiring error point can be predicted by a wiring position prediction model, and each wiring position is marked in training data. When the number of the miswiring points is less than or equal to 1/3 of the total wiring number, manual correction can be performed. The calculation correction module is used for calculating the position prediction accuracy of each wiring error point, reconnecting the wiring harness of each wiring error point from high to low according to the position prediction accuracy of each wiring error point, removing the wiring harness with successful wiring from the task to be wired, obtaining a task with failed wiring, and carrying out correct wiring position re-prediction on the task with failed wiring through the wiring position prediction model. And reconnecting the wiring error point corresponding to the wiring harness with the highest position prediction accuracy until all wiring error points are reconnected, wherein the wiring task to be connected comprises all wiring error points, and after the wiring error points are reconnected successfully, the wiring error points which are connected with the wiring task to be connected with the wiring are removed, and the wiring error points which are connected with the wiring failure are the wiring failure task. And (5) carrying out position re-prediction on the line connection failure task.
The technical scheme has the effects that: the system automatically acquires historical wiring data, wherein the data comprises historical wiring error points, historical wire harness voltage change values, historical correction reconnection data and the like. These data provide valuable experience and reference for training a wire position prediction model. Based on the historical wiring data, the system may train a wiring location prediction model. The model is capable of predicting the correct wiring location for each wiring error point based on historical data and current data. Through the wiring position prediction model, the system can predict the correct wiring position of each wiring error point. In the training data, each wiring location has been labeled, which provides the basis for prediction. When the number of miswiring points is less than or equal to 1/3 of the total number of wiring points, manual correction can be selected. This combination ensures a balance of efficiency and accuracy. The system calculates the position prediction accuracy of each wiring error point according to the output of the wiring position prediction model. This provides a basis for subsequent reconnections. And (3) predicting the accuracy according to the position of each miswiring point, and reconnecting the wire bundles from high to low. After reconnection, the successfully wired harness is automatically removed from the task to be wired. The method reduces the predicted quantity while ensuring that the wiring error points can be corrected correctly; the remaining wire failure tasks will be further re-predicted by the system. And after each reconnection and re-prediction, updating the wiring position prediction model according to the result. Such updating ensures continued accuracy and adaptability of the model. The process forms a closed loop from historical data acquisition, model training, prediction, reconnection and model updating to new wiring task processing, and high-efficiency and accurate wiring operation is ensured.
In one embodiment of the present invention, the model update module includes:
The updating calculation module is used for calculating a model updating value according to the wiring failure task information and combining the position re-prediction times;
and the updating correction module is used for updating the wiring position prediction model according to the model updating value, re-predicting according to the updated wiring position prediction model, and correcting wiring until the wiring failure task is cleared.
The working principle of the technical scheme is as follows: the updating calculation module is used for calculating a model updating value according to the wiring failure task information and combining the position re-prediction times; the updating and correcting module is used for updating the wiring position prediction model according to the model updating value, carrying out re-prediction according to the updated wiring position prediction model, and carrying out wiring correction until the wiring failure task is cleared.
The technical scheme has the effects that: the system will record and analyze each time the wiring fails the task information, including the error type, location, etc. This information provides the underlying data for subsequent model updates. Based on the number of failed wiring tasks and the number of position re-predictions, the system can calculate a model update value. This value reflects the current performance and accuracy of the model and also provides direction for optimization of the model. Based on the calculated model update values, the system automatically updates the wire position prediction model. The updating may include parameter adjustment, algorithm optimization, etc., to improve the prediction accuracy and stability of the model. And using the updated wiring position prediction model, the system can re-predict the wiring failure task. Based on the result of the re-prediction, the system will automatically or manually correct the error. Once the re-prediction and correction is completed, the system will check if the wiring failure task is cleared. If there are remaining wire failure tasks, the system will continue with a cycle of model update, re-prediction and correction. This cycle continues until all of the wire fail tasks are cleared. Through the iterative and optimization processes described above, the wiring location prediction model becomes increasingly more accurate and stable. When facing a large number of misinterpretation tasks, the method not only improves the overall working efficiency, but also reduces the need of manual intervention, and ensures the accuracy and reliability of wiring.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (4)

1. A method of detecting a sequence of a battery module harness, the method comprising:
s1, matching the obtained battery module with a detection device and connecting all internal devices to form a wire harness sequence detection circuit;
Wherein, the S1 comprises:
S11, connecting a plurality of battery cells in series to form a battery module, wherein the anode end of each battery cell is connected with a terminal, and the interface of the detection device is matched with the terminal of the battery module;
S12, each terminal of the battery module is correspondingly connected with each self-recovery fuse of the detection device, the output end of each self-recovery fuse is connected with each surge protector and each current limiting resistor, the output end of each current limiting resistor is connected with a conducting diode, the output end of each conducting diode is connected with an LED lamp, the output end of each LED lamp is connected with the terminal of the next battery cell, and the current limiting resistor is adjusted to enable the LED lamp to be in a half-bright state when the wire harness is connected with the correct terminal, so that the wire harness sequence detection circuit is obtained;
S2, acquiring an error connection point and an error connection type according to the LED lamp state data of the wire harness sequence detection circuit;
S3, training a wiring position prediction model, predicting a correct wiring position, calculating a position prediction accuracy, correcting the position of a wiring error point according to the position prediction accuracy, acquiring a corrected wiring failure task, and carrying out re-prediction;
wherein, the S3 includes:
S31, when the number of the wiring error points exceeds 1/3 of the total wiring number, historical wiring data are obtained, a wiring position prediction model is trained through the historical wiring data, and the correct wiring position of each wiring error point is predicted through the wiring position prediction model;
S32, calculating the position prediction accuracy of each wiring error point, reconnecting the wiring harness of each wiring error point from high to low according to the position prediction accuracy of each wiring error point, removing the wiring harness with successful wiring from a task to be wired, obtaining a task with failed wiring, and carrying out the re-prediction of the correct wiring position of the task with failed wiring through a wiring position prediction model;
The calculation formula of the position prediction accuracy is as follows:
Wherein Z yci is the position prediction accuracy of the ith wiring error point, W gi is the number of uncorrected wiring error points for cutting off the ith wiring error point, Z g is the total wiring error point number, B ci is the number of times of predicting different correct wiring positions of the ith wiring error point, and X ci is the number of times of predicting the same correct wiring positions of the ith wiring error point; the wrong connection points represent corresponding wire harnesses, and the correct connection positions represent terminals which should be connected;
S4, calculating a model updating value, and updating the wire position prediction model according to the model updating value until the wire connection failure task is cleared;
Wherein, the S4 includes:
s41, calculating a model update value according to the wiring failure task information and combining the number of position re-prediction times;
The calculation formula of the model update value is as follows:
Wherein G mo is a model update value, c is the number of position re-predictions, Reducing the number of connection failure tasks for the e-th position re-prediction, wherein Z rg is the total number of connection failure tasks, Z g is the total number of connection error points, S ci is the number of connection failure times of the i-th connection error point, Z jxc is the total number of connection times, and Z ycp is the average value of the position prediction accuracy of all the connection error points;
S42, updating the wiring position prediction model according to the model updating value, re-predicting according to the updated wiring position prediction model, and correcting wiring until the wiring failure task is cleared.
2. The method for detecting a wire harness sequence of a battery module according to claim 1, wherein S2 comprises:
s21, acquiring state data of the LED lamp, and acquiring and marking a wiring error point according to the state data of the LED lamp;
s22, judging the wrong connection type according to the marked wrong connection points and the LED lamp state data.
3. An apparatus for detecting a wire harness sequence of a battery module, the apparatus comprising:
the circuit connection module is used for matching the acquired battery module with the detection device and connecting all internal devices to form a wire harness sequence detection circuit;
wherein, the circuit connection module includes:
the matching module is used for connecting a plurality of battery cells in series to form a battery module, the anode end of each battery cell is connected with a terminal, and the interface of the detection device is matched with the terminal of the battery module;
The connection module is used for correspondingly connecting each terminal of the battery module with each self-recovery fuse of the detection device, the output end of each self-recovery fuse is connected with each surge protector and each current limiting resistor respectively, the output end of each current limiting resistor is connected with a conducting diode, the output end of each conducting diode is connected with an LED lamp, the output end of each LED lamp is connected with the terminal of the next electric core, and the current limiting resistor is adjusted to enable the LED lamp to be in a half-bright state when the wire harness is connected with the correct terminal, so that the wire harness sequence detection circuit is obtained;
The error detection module is used for acquiring an error connection point and an error connection type according to the LED lamp state data of the wire harness sequence detection circuit;
The position prediction module is used for training a wiring position prediction model, predicting a correct wiring position, calculating a position prediction accuracy, correcting the position of a wiring error point according to the position prediction accuracy, acquiring a corrected wiring failure task, and carrying out re-prediction;
wherein the position prediction module comprises:
The model training module is used for acquiring historical wiring data when the number of wiring error points exceeds 1/3 of the total wiring number, training a wiring position prediction model through the historical wiring data, and predicting the correct wiring position of each wiring error point through the wiring position prediction model;
The calculation correction module is used for calculating the position prediction accuracy of each wiring error point, reconnecting the wiring harness of each wiring error point from high to low according to the position prediction accuracy of each wiring error point, removing the wiring harness with successful wiring from the task to be wired, obtaining a task with failed wiring, and carrying out the re-prediction of the correct wiring position of the task with failed wiring through the wiring position prediction model;
The calculation formula of the position prediction accuracy is as follows:
Wherein Z yci is the position prediction accuracy of the ith wiring error point, W gi is the number of uncorrected wiring error points for cutting off the ith wiring error point, Z g is the total wiring error point number, B ci is the number of times of predicting different correct wiring positions of the ith wiring error point, and X ci is the number of times of predicting the same correct wiring positions of the ith wiring error point; the wrong connection points represent corresponding wire harnesses, and the correct connection positions represent terminals which should be connected;
The model updating module is used for calculating a model updating value, updating the wire connection position prediction model according to the model updating value until the wire connection failure task is cleared;
the model updating module comprises:
The updating calculation module is used for calculating a model updating value according to the wiring failure task information and combining the position re-prediction times;
The calculation formula of the model update value is as follows:
Wherein G mo is a model update value, c is the number of position re-predictions, Reducing the number of connection failure tasks for the e-th position re-prediction, wherein Z rg is the total number of connection failure tasks, Z g is the total number of connection error points, S ci is the number of connection failure times of the i-th connection error point, Z jxc is the total number of connection times, and Z ycp is the average value of the position prediction accuracy of all the connection error points;
and the updating correction module is used for updating the wiring position prediction model according to the model updating value, re-predicting according to the updated wiring position prediction model, and correcting wiring until the wiring failure task is cleared.
4. A device for detecting a wire harness sequence of a battery module according to claim 3, wherein the error detection module comprises:
the error point acquisition module is used for acquiring the state data of the LED lamp, and acquiring and marking wiring error points according to the state data of the LED lamp;
and the type judging module is used for judging the wrong connection type according to the marked wrong connection point and the LED lamp state data.
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