CN115583153A - Endurance mileage calculation method and device and computer equipment - Google Patents
Endurance mileage calculation method and device and computer equipment Download PDFInfo
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- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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Abstract
The embodiment of the disclosure provides a method and a device for calculating a driving mileage and computer equipment. The driving equipment is in communication connection with a computing platform, each basic attribute and the real-time attribute value corresponding to each basic attribute are sent to the computing platform through responding to a trigger event of the driving mileage, so that the computing platform obtains a target driving mileage through a preset computing rule and sends the target driving mileage to the driving equipment based on each basic attribute and the real-time attribute value corresponding to each basic attribute, and then receives and outputs the target driving mileage in a preset mode. This application is through basic attributes such as residual capacity, battery health degree, heavy burden, the driving equipment positional information and the state of traveling that combine the driving equipment to the accurate calculation of surplus continuation of the journey mileage, can eliminate user's trip pressure, rationally arranges trip and charge plan.
Description
Technical Field
The application relates to the technical field of vehicle control, in particular to a driving mileage calculation method, a driving mileage calculation device and computer equipment.
Background
Nowadays, new energy vehicles have become a development trend by virtue of lower cost, less environmental pollution, better driving experience, more scientific and technical functions and the like. However, compared with a fuel vehicle, the new energy locomotive has more worry for users that the energy supplementing mode is not convenient for the fuel vehicle, the endurance mileage stability is poor, and particularly, the power consumption is rapidly increased after long-time driving at high speed.
Many new energy locomotive manufacturers have corresponding endurance mileage calculation functions, but most hardware appliances obtain results through calculation of an inherent formula. However, the endurance exhibited by each vehicle according to different driving habits, driving environments, working conditions and the like is different inevitably. An inaccurate driving range can cause range anxiety of the vehicle user, and the traveling and charging time cannot be reasonably planned, thereby causing unnecessary burden. For example, considering the distance from the current position to the charging pile, most people are used to charge the charging pile after dozens of kilometers of the driving range is left, so that the actual driving range is far smaller than the actual driving range of the product. An accurate continuation of journey mileage is calculated, can greatly promote user's sense of security, solves unnecessary mileage anxiety.
Therefore, under long-term use or extreme environment, the technical problem that the mileage is calculated inaccurately exists in the prior art.
Disclosure of Invention
In order to solve the technical problem, the application provides a method, a device and a computer device for calculating a driving mileage, and the specific scheme is as follows:
in a first aspect, an embodiment of the present application provides a driving range calculation method, which is applied to a driving device, where the driving device is in communication connection with a computing platform, and the driving range calculation method includes:
responding to a trigger event of the endurance mileage, sending each basic attribute and a real-time attribute value corresponding to each basic attribute to the computing platform, so that the computing platform obtains a target endurance mileage through a preset computing rule based on each basic attribute and the real-time attribute value corresponding to each basic attribute, and sends the target endurance mileage to the driving equipment;
receiving and outputting the target endurance mileage in a preset mode, wherein the preset mode comprises display and/or playing;
wherein the basic attribute comprises the remaining capacity and the battery health degree, and the preset calculation rule is as follows: target cruising range = (remaining capacity × battery health degree)% × basic cruising range.
According to a specific embodiment disclosed in the present application, the driving device includes a vehicle-mounted communication box and a battery management system, and the basic attribute is a battery health degree;
the step of sending each basic attribute and the real-time attribute value corresponding to each basic attribute to the computing platform in response to the trigger event of the endurance mileage includes:
responding to a trigger event of the endurance mileage, and acquiring the battery health degree corresponding to the battery management system;
and sending the battery health degree to the computing platform through the vehicle-mounted communication box, wherein the computing platform comprises a TSP cloud platform.
According to a specific embodiment disclosed in the present application, before the step of sending each basic attribute and the real-time attribute value corresponding to each basic attribute to the computing platform in response to a trigger event of the mileage, the mileage computing method further includes:
if a trigger event of the driving range is monitored, sending each target attribute corresponding to multiple driving events and a real-time attribute value corresponding to each target attribute to the computing platform, so that the computing platform calculates to obtain a preset driving range corresponding to the battery power based on the power consumption corresponding to each driving event and the driving range corresponding to the power consumption, and trains a preset prediction model by taking the preset driving range corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute as a training set to obtain a basic driving range output and predicted by the prediction model;
and/or enabling the computing platform to store the preset cruising range corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute to a historical database.
The driving state of the driving device is changed from a traveling state to a dormant state and corresponds to one driving event, and the target attribute comprises starting time, ending event, power consumption and driving mileage corresponding to the driving event.
In a second aspect, an embodiment of the present application provides a driving range calculating method, which is applied to a computing platform, where the computing platform is in communication connection with a driving device, and the driving range calculating method includes:
monitoring whether the driving equipment sends each basic attribute and a real-time attribute value corresponding to each basic attribute, wherein the basic attributes comprise residual electric quantity, battery health degree, load, driving equipment position information and driving state;
if receiving each basic attribute and the real-time attribute value corresponding to each basic attribute sent by the driving equipment, obtaining a basic endurance mileage based on each basic attribute and the real-time attribute value corresponding to each basic attribute;
obtaining a target endurance mileage through a preset calculation rule based on the residual electric quantity, the battery health degree and the basic endurance mileage, wherein the preset calculation rule is as follows: target endurance mileage = (remaining capacity × battery health)% × basic endurance mileage;
and sending the target endurance mileage to the driving equipment so that the driving equipment receives and outputs the target endurance mileage through a preset mode, wherein the preset mode comprises display and/or play.
According to a specific embodiment disclosed in the present application, before the step of monitoring whether the driving device sends each basic attribute and the real-time attribute value corresponding to each basic attribute, the driving range calculating method further includes:
acquiring each target attribute corresponding to a plurality of driving events sent by the driving equipment and a real-time attribute value corresponding to each target attribute, wherein the driving state of the driving equipment is changed from a traveling state to a dormant state and corresponds to one driving event, and the target attributes comprise the starting time, the ending event, the power consumption and the driving mileage corresponding to the power consumption corresponding to the driving event;
calculating to obtain a preset endurance mileage corresponding to the battery electric quantity based on the electric quantity loss and the driving mileage corresponding to the electric quantity loss;
taking a preset endurance mileage corresponding to each driving event, each target attribute and a real-time attribute value corresponding to each target attribute as a training set, and training a preset prediction model to enable the prediction model to output a predicted basic endurance mileage;
and/or storing the preset cruising range corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute to a historical database.
According to a specific embodiment disclosed in the present application, the step of obtaining the basic driving mileage based on each of the basic attributes and the real-time attribute value corresponding to each of the basic attributes includes:
inputting each basic attribute and the real-time attribute value corresponding to each basic attribute into the prediction model to obtain the basic endurance mileage output and predicted by the prediction model;
or calculating a difference value between each real-time attribute value and a real-time attribute value corresponding to a basic attribute in the historical database, obtaining a difference degree corresponding to each preset endurance mileage in the historical database based on each difference value and a preset percentage corresponding to each basic attribute, and determining the preset endurance mileage corresponding to the minimum difference degree as the basic endurance mileage.
In a third aspect, an embodiment of the present application provides a driving range calculation apparatus, which is applied to a driving device, where the driving device is in communication connection with a calculation platform, and the driving range calculation apparatus includes:
the transmitting module is used for responding to a trigger event of the endurance mileage, transmitting each basic attribute and the real-time attribute value corresponding to each basic attribute to the computing platform, so that the computing platform obtains a target endurance mileage through a preset computing rule based on each basic attribute and the real-time attribute value corresponding to each basic attribute, and transmits the target endurance mileage to the driving equipment;
the receiving module is used for receiving and outputting the target endurance mileage through a preset mode, and the preset mode comprises display and/or play;
wherein the basic attribute comprises a remaining power and a battery health degree, and the preset calculation rule is as follows: target endurance mileage = (remaining capacity × battery health)% × basic endurance mileage.
In a fourth aspect, an embodiment of the present application provides a driving range calculation apparatus, which is applied to a computing platform, where the computing platform is in communication connection with a driving device, and the driving range calculation apparatus includes:
the monitoring module is used for monitoring whether the driving equipment sends each basic attribute and a real-time attribute value corresponding to each basic attribute, wherein the basic attributes comprise residual electric quantity, battery health degree, load, driving equipment position information and driving state;
the receiving module is used for obtaining basic endurance mileage based on each basic attribute and the real-time attribute value corresponding to each basic attribute if receiving each basic attribute and the real-time attribute value corresponding to each basic attribute sent by the driving equipment;
the calculation module is used for obtaining a target endurance mileage through a preset calculation rule based on the residual electric quantity, the battery health degree and the basic endurance mileage, wherein the preset calculation rule is as follows: target endurance mileage = (remaining capacity × battery health degree)% × basic endurance mileage;
and the sending module is used for sending the target endurance mileage to the driving equipment so as to enable the driving equipment to receive and output the target endurance mileage in a preset mode, wherein the preset mode comprises display and/or play.
In a fifth aspect, an embodiment of the present application provides a computer device, which includes a processor and a memory, where the memory stores a computer program, and the computer program, when executed on the processor, implements the range calculation method according to any one of the embodiments of the first aspect or the range calculation method according to any one of the embodiments of the second aspect.
In a sixth aspect, this application provides a computer-readable storage medium, which stores a computer program that, when executed on a processor, implements the range calculation method of any embodiment of the first aspect or the range calculation method of any embodiment of the second aspect.
Compared with the prior art, the method has the following beneficial effects:
the driving equipment is in communication connection with the computing platform, and each basic attribute and the real-time attribute value corresponding to each basic attribute are sent to the computing platform through responding to a trigger event of the driving mileage, so that the computing platform obtains a target driving mileage through a preset computing rule based on each basic attribute and the real-time attribute value corresponding to each basic attribute, sends the target driving mileage to the driving equipment, and then receives and outputs the target driving mileage in a preset mode. This application is through basic attributes such as residual capacity, battery health degree, heavy burden, the driving equipment positional information and the state of traveling that combine the driving equipment to the accurate calculation of surplus continuation of the journey mileage, can eliminate user's trip pressure, rationally arranges trip and charge plan.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings needed to be used in the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present disclosure, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a driving range calculation method applied to a driving device according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a method for calculating a driving range applied to a computing platform according to an embodiment of the present disclosure;
fig. 3 is a block diagram of a driving range calculating apparatus applied to a driving device according to an embodiment of the present application;
fig. 4 is a block diagram of a driving range calculating device applied to a computing platform according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present invention, are intended to indicate only specific features, numerals, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the presence of or adding to one or more other features, numerals, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another, and are not to be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flow chart of a driving range calculation method applied to a driving device according to an embodiment of the present disclosure. As shown in fig. 1, the endurance mileage calculation method mainly includes:
step S101, responding to a trigger event of the endurance mileage, sending each basic attribute and a real-time attribute value corresponding to each basic attribute to the computing platform, so that the computing platform obtains a target endurance mileage through a preset computing rule based on each basic attribute and the real-time attribute value corresponding to each basic attribute, and sends the target endurance mileage to the driving equipment.
And S102, receiving and outputting the target endurance mileage in a preset mode, wherein the preset mode comprises display and/or playing.
The claims of the present application are written in terms of two different execution subjects, namely, a driving device and a computing platform, and for convenience of description and understanding of the following "method for calculating a driving range using a computing platform as an execution subject", the following explains the entire method for calculating a driving range with reference to the two execution subjects, namely, the "driving device" and the "computing platform", and the entire flow is as follows:
1. and the driving equipment responds to a trigger event of the endurance mileage and sends each basic attribute and a real-time attribute value corresponding to each basic attribute to the computing platform, wherein the basic attributes comprise the residual capacity, the battery health degree, the load, the position information of the driving equipment and the driving state.
The trigger event for the endurance mileage may be a calculation instruction made by a user based on various input units such as a touch screen of the driving device, or may be a calculation of the endurance mileage by setting a fixed calculation time point, or may be a calculation of the endurance mileage by setting the remaining electric quantity of the driving device to a specific value. The specific trigger mode for calculating the cruising range can be customized according to a specific application scenario and the actual use requirement of the user, and is not further limited here.
In specific implementation, the driving device includes a vehicle-mounted communication box and a Battery Management System (BMS), and the computing platform may be a Telematics Service Provider platform (TSP). Generally speaking, the BMS can be said to be a "battery manager" of the new energy automobile, and can supervise the battery state in real time, manage the vehicle-mounted power battery, enhance the battery use efficiency, prevent the battery from being overcharged and overdischarged, and prolong the service life of the battery. The BMS has the core function of collecting data such as voltage, temperature, current, resistance and the like of the power battery system, analyzing the data state and the battery service environment, and monitoring and controlling the charging and discharging process of the battery system. The TSP cloud platform integrates modern computer technologies such as position service, gis service and communication service, and provides powerful services for car owners and individuals: navigation, entertainment, information, security, remote maintenance, and the like.
Before the step of sending, by the driving device, a plurality of basic attributes and a real-time attribute value corresponding to each of the basic attributes to the computing platform in response to a trigger event for the endurance mileage, the endurance mileage computing method further includes:
the method comprises the steps that a computing platform obtains target attributes corresponding to multiple driving events and real-time attribute values corresponding to the target attributes, wherein the driving state of driving equipment is changed from a traveling state to a dormant state and corresponds to one driving event, and the target attributes comprise starting time, ending events, electric quantity loss and driving mileage corresponding to the driving events;
the computing platform calculates a preset endurance mileage corresponding to the electric quantity of the battery based on the electric quantity loss and the driving mileage corresponding to the electric quantity loss;
the computing platform takes a preset endurance mileage corresponding to each driving event, each target attribute and a real-time attribute value corresponding to each target attribute as a training set, and trains a preset prediction model so as to enable the prediction model to output a predicted basic endurance mileage; and/or the presence of a gas in the atmosphere,
and the computing platform stores the preset cruising mileage corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute to a historical database.
When the system is specifically implemented, the TSP cloud platform is used for receiving and storing signal values uploaded by the driving equipment through 4G, wherein the signal values comprise various basic attributes and real-time attribute values such as driving mileage, battery capacity, battery health degree, vehicle-mounted load, positioning information and driving state of the driving equipment. The TSP cloud platform can regularly clean data of the driving equipment, the data is used for distinguishing according to a driving event, for example, data in the process of changing the driving state of the driving equipment from a traveling state to a dormant state is defined as primary cleaning data, and the data is a data set. The method and the device for calculating the ratio of converting the electric energy corresponding to the driving event into the driving mileage are combined with basic attributes and attribute values of the driving device, such as starting driving time, ending time, electric quantity loss, driving mileage and the like.
For example, the standard mode of the electric quantity of 100% runs for 40 kilometers, the actual electric consumption is 10%, and the preset driving range corresponding to the obtained total battery electric quantity is 40 ÷ 10% = 400. In other words, the cruising range at the full battery state is 400 in the standard case.
And the computing platform stores the preset cruising mileage corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute to a historical database. In specific implementation, under the condition that other parameters of the driving equipment are similar, if the driving mileage corresponding to the same consumed electric quantity is inconsistent, various mathematical methods such as mode and weight can be adopted to select a proper endurance mileage for updating. For example, the history database stores the following sets of data (assuming the other parameters are the same or similar):
electric quantity consumption: 100% -80%, the running distance is 30km, and the preset endurance mileage is 30/0.2=150km;
electric quantity consumption: 100% -80%, the running distance is 25km, and the preset cruising range is 25/0.2=125km;
electric quantity consumption: 100% -80%, the running distance is 20km, and the preset cruising range is 20/0.2=100km;
electric quantity consumption: 100% -80%, the running distance is 20km, and the preset cruising range is 20/0.2=100km;
electric quantity consumption: 100% -80%, the running distance is 20km, and the preset cruising range is 20/0.2=100km;
at this time, it is described that the battery of the driving device is aged, and the subsequent driving may not be able to recover to the previous high performance, the preset cruising range 100km corresponding to the mode may be updated to the latest value, and if the subsequent driving matches the same condition, the preset cruising range of 100km may be calculated instead of 125km or 150 km.
The TSP platform records each riding process, namely target attributes and target attribute values of the electric quantity, load bearing, positioning, driving state and the like of the driving equipment in the driving event, and the target attributes and the target attribute values are used as a training set to train a preset prediction model so that the prediction model can output a predicted basic endurance mileage. In other words, a continuous learning process can be formed through the method, a preset endurance mileage closest to the current working condition is searched for as a basic endurance mileage before the endurance mileage is required to be calculated, and then the target endurance mileage is calculated according to the basic endurance mileage.
The State of Health (State of Health, SOH for short) of the battery may be acquired by the BMS driving the device. The SOH ranges from 0 to 1, and the battery health determines the efficiency of converting electric energy into kinetic energy. For example, the battery has 100% of remaining power, the SOH is 100%, the cruising range is 100km, and the cruising range is 80km if the SOH is 80%. The SOH value is a characteristic parameter of the battery itself, and is related to the service life and the like. The following explains an overall process in which the driving device sends each basic attribute and a real-time attribute value corresponding to each basic attribute to the computing platform in response to a trigger event for the cruising range, by taking the battery health degree as an example.
In specific implementation, the driving device includes a vehicle-mounted communication BOX (Telematics-BOX, referred to as TBOX) and a battery management system, the basic attribute is a battery health degree, and the step of sending each basic attribute and a real-time attribute value corresponding to each basic attribute to the computing platform in response to a trigger event for a mileage includes:
responding to a trigger event of the endurance mileage, and acquiring the battery health degree corresponding to the battery management system;
and sending the battery health degree to the computing platform through the vehicle-mounted communication box, wherein the computing platform comprises a TSP cloud platform.
The BMS controller is installed on a driving device and connected to a CAN line, and parameters related to the battery, namely the basic attribute and the real-time attribute value corresponding to the basic attribute, are uploaded to the cloud TSP through TBOX.
2. And the computing platform obtains basic endurance mileage based on each basic attribute and the real-time attribute value corresponding to each basic attribute.
Corresponding to the 'computing platform', taking the preset endurance mileage corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute as a training set, and training a preset prediction model so as to enable the prediction model to output a predicted basic endurance mileage; and/or the calculation platform stores the preset endurance mileage corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute in a historical database, and the step can also adopt different modes to calculate the basic endurance mileage:
a. and the computing platform inputs each basic attribute and the real-time attribute value corresponding to each basic attribute into the prediction model to obtain the basic endurance mileage output and predicted by the prediction model.
b. And the computing platform computes the difference between each real-time attribute value and the real-time attribute value corresponding to the basic attribute in the historical database, obtains the difference degree corresponding to each preset endurance mileage in the historical database based on each difference value and the preset percentage corresponding to each basic attribute, and determines the preset endurance mileage corresponding to the minimum difference degree as the basic endurance mileage.
TABLE 1
| Residual capacity | Weight bearing | Degree of health of battery | Degree of difference | |
| Predetermined percentage of | 50% | 20% | 30% | |
| Difference (historical data A) | 0 | 10 | 20 | 8 |
| Difference (historical data B) | 0 | 20 | 20 | 10 |
If the difference between the basic attribute and the real-time attribute value corresponding to the current driving event and the difference between the basic attribute and the real-time attribute value and the two different historical data A and B in the historical database are shown in the table 1, the preset endurance mileage corresponding to the historical data A with the minimum difference is selected as the basic endurance mileage corresponding to the current driving event.
3. And based on the residual electric quantity, the battery health degree and the basic endurance mileage, the computing platform obtains a target endurance mileage through a preset computing rule.
Wherein the preset calculation rule is as follows: target cruising range = (remaining capacity × battery health degree)% × basic cruising range.
In specific implementation, the residual electric quantity can be collected in the awakening state of the driving equipment, and the range is 0-100. For the same amount of electricity, different consumption levels of batteries, the efficiency of converting electricity into kinetic energy may vary, for example: for a battery with 100 electric quantity, the state of health SOH is 0.8, which is equivalent to only 80 effective electric quantities to convert kinetic energy, and thus the following results are obtained: battery charge-battery health = active charge. The method for calculating the remaining endurance mileage is as follows: (battery charge × battery health)% × base endurance range = target endurance range.
4. The driving equipment receives the target endurance mileage sent by the computing platform and outputs the target endurance mileage in a preset mode, wherein the preset mode comprises but is not limited to displaying and/or playing.
Referring to fig. 2, fig. 2 is a schematic flowchart of a driving range calculation method applied to a computing platform according to an embodiment of the present disclosure. As shown in fig. 2, the endurance mileage calculation method mainly includes:
step S201, monitoring whether the driving equipment sends each basic attribute and a real-time attribute value corresponding to each basic attribute, wherein the basic attributes comprise residual electric quantity, battery health degree, load, driving equipment position information and driving state;
step S202, if receiving each basic attribute and the real-time attribute value corresponding to each basic attribute sent by the driving equipment, obtaining basic driving mileage based on each basic attribute and the real-time attribute value corresponding to each basic attribute;
step S203, obtaining a target endurance mileage through a preset calculation rule based on the residual capacity, the battery health degree and the basic endurance mileage, wherein the preset calculation rule is as follows: target endurance mileage = (remaining capacity × battery health)% × basic endurance mileage;
and step S204, sending the target endurance mileage to the driving equipment so as to enable the driving equipment to receive and output the target endurance mileage in a preset mode, wherein the preset mode comprises display and/or playing.
For a specific implementation process of the endurance mileage calculation method applied to the calculation platform, reference may be made to the specific implementation process of the endurance mileage calculation method applied to the driving device provided in the above embodiment, which is not described in detail herein.
In the endurance mileage calculation method provided by the application, the driving equipment responds to a trigger event of the endurance mileage and sends each basic attribute and the real-time attribute value corresponding to each basic attribute to the calculation platform. The calculation platform is used for obtaining a basic endurance mileage based on each basic attribute and a real-time attribute value corresponding to each basic attribute, obtaining a target endurance mileage through a preset calculation rule based on the residual electric quantity, the battery health degree and the basic endurance mileage, and then sending the target endurance mileage to the driving equipment so that the driving equipment can output the target endurance mileage. This application is through basic attributes such as residual capacity, battery health degree, heavy burden, the driving equipment positional information and the state of traveling that combine the driving equipment to the accurate calculation of surplus continuation of the journey mileage, can eliminate user's trip pressure, rationally arranges trip and charge plan.
Corresponding to the above method embodiment, referring to fig. 3, the present invention also provides a driving range calculating device 300 applied to a driving apparatus, where the driving range calculating device 300 applied to the driving apparatus includes:
the sending module 301 is configured to, in response to a trigger event for a cruising range, send each basic attribute and a real-time attribute value corresponding to each basic attribute to the computing platform, so that the computing platform obtains a target cruising range through a preset computing rule based on each basic attribute and the real-time attribute value corresponding to each basic attribute, and sends the target cruising range to the driving device;
a receiving module 302, configured to receive and output the target cruising mileage in a preset manner, where the preset manner includes displaying and/or playing;
wherein the basic attribute comprises the remaining capacity and the battery health degree, and the preset calculation rule is as follows: target cruising range = (remaining capacity × battery health degree)% × basic cruising range.
In correspondence with the above method embodiment, referring to fig. 4, the present invention also provides a driving range calculating device 400 applied to a computing platform, where the driving range calculating device 400 applied to the computing platform includes:
the monitoring module 401 monitors whether the driving device sends each basic attribute and a real-time attribute value corresponding to each basic attribute, wherein the basic attributes include remaining power, battery health degree, load, driving device position information and driving state;
a receiving module 402, configured to obtain a basic mileage based on each basic attribute and a real-time attribute value corresponding to each basic attribute, if receiving each basic attribute and a real-time attribute value corresponding to each basic attribute sent by the driving device;
a calculating module 403, configured to obtain a target cruising mileage through a preset calculating rule based on the remaining power, the battery health degree, and the basic cruising mileage, where the preset calculating rule is: target endurance mileage = (remaining capacity × battery health)% × basic endurance mileage;
a sending module 404, configured to send the target mileage to the driving device, so that the driving device receives and outputs the target mileage in a preset manner, where the preset manner includes displaying and/or playing.
In addition, a computer device is provided, the computer device comprises a processor and a memory, the memory stores a computer program, and the computer program realizes the endurance mileage calculation method applied to the driving device or the calculation platform when executed on the processor. In particular, the computer device comprises the steering device or the computing platform described in the above embodiments.
Furthermore, a computer-readable storage medium is provided, in which a computer program is stored, which, when executed on a processor, implements the above-described range calculation method applied to a driving device or a computing platform.
For specific implementation processes of the provided computer device and the computer-readable storage medium, reference may be made to the specific implementation processes of the driving range calculation method applied to the driving device or the calculation platform provided in the above embodiments, and details are not repeated here.
The computer device and the computer-readable storage medium provided by the application respond to a trigger event of the endurance mileage through the driving device, and send each basic attribute and a real-time attribute value corresponding to each basic attribute to the computing platform. The calculation platform is used for obtaining a basic endurance mileage based on each basic attribute and a real-time attribute value corresponding to each basic attribute, obtaining a target endurance mileage through a preset calculation rule based on the residual electric quantity, the battery health degree and the basic endurance mileage, and then sending the target endurance mileage to the driving equipment so that the driving equipment can output the target endurance mileage. This application is through basic attributes such as residual capacity, battery health degree, heavy burden, the driving equipment positional information and the state of traveling that combine the driving equipment to the accurate calculation of surplus continuation of the journey mileage, can eliminate user's trip pressure, rationally arranges trip and charge plan.
It should be noted that the computer readable medium disclosed in the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the disclosure of the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the computer device; or may exist separately and not be incorporated into the computer device.
The computer readable medium carries one or more programs which, when executed by the computing device, cause the computing device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising the at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects the internet protocol addresses from the at least two internet protocol addresses and returns the internet protocol addresses; receiving an internet protocol address returned by the node evaluation equipment; wherein the obtained internet protocol address indicates an edge node in the content distribution network.
Alternatively, the computer readable medium carries one or more programs which, when executed by the computing device, cause the computing device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from the at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.
Computer program code for carrying out operations disclosed herein may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments disclosed herein. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments disclosed in the present application may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".
It should be understood that various portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.
The above description is only for the specific embodiments disclosed in the present application, but the scope of the present disclosure is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present disclosure should be covered within the scope of the present disclosure. Therefore, the protection scope disclosed in the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A driving range calculation method is applied to driving equipment, the driving equipment is in communication connection with a calculation platform, and the driving range calculation method comprises the following steps:
responding to a trigger event of the endurance mileage, sending each basic attribute and a real-time attribute value corresponding to each basic attribute to the computing platform, so that the computing platform obtains a target endurance mileage through a preset computing rule based on each basic attribute and the real-time attribute value corresponding to each basic attribute, and sends the target endurance mileage to the driving equipment;
receiving and outputting the target endurance mileage in a preset mode, wherein the preset mode comprises display and/or playing;
wherein the basic attribute comprises the remaining capacity and the battery health degree, and the preset calculation rule is as follows: target cruising range = (remaining capacity × battery health degree)% × basic cruising range.
2. The driving range calculation method according to claim 1, wherein the driving apparatus includes an in-vehicle communication box and a battery management system, and the basic attribute is a battery health degree;
the step of sending each basic attribute and the real-time attribute value corresponding to each basic attribute to the computing platform in response to the trigger event of the endurance mileage includes:
responding to a trigger event of the endurance mileage, and acquiring the battery health degree corresponding to the battery management system;
and sending the battery health degree to the computing platform through the vehicle-mounted communication box, wherein the computing platform comprises a TSP cloud platform.
3. The driving range calculation method according to claim 1, wherein before the step of sending each basic attribute and the real-time attribute value corresponding to each basic attribute to the calculation platform in response to a trigger event for driving range, the driving range calculation method further comprises:
if a trigger event of the driving mileage is monitored, sending each target attribute corresponding to multiple driving events and a real-time attribute value corresponding to each target attribute to the computing platform, so that the computing platform can compute preset driving mileage corresponding to battery electric quantity based on electric quantity loss corresponding to each driving event and driving mileage corresponding to the electric quantity loss, and train a preset prediction model by taking the preset driving mileage corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute as a training set to obtain the basic driving mileage predicted by the prediction model;
and/or, enabling the computing platform to store the preset cruising mileage corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute to a historical database;
the driving state of the driving device is changed from a traveling state to a dormant state and corresponds to one driving event, and the target attribute comprises starting time, ending event, power consumption and driving mileage corresponding to the driving event.
4. A driving range calculation method is applied to a calculation platform, the calculation platform is in communication connection with a driving device, and the driving range calculation method comprises the following steps:
monitoring whether the driving equipment sends each basic attribute and a real-time attribute value corresponding to each basic attribute, wherein the basic attributes comprise the residual electric quantity, the battery health degree, the load, the position information of the driving equipment and the driving state;
if receiving each basic attribute and the real-time attribute value corresponding to each basic attribute sent by the driving equipment, obtaining a basic endurance mileage based on each basic attribute and the real-time attribute value corresponding to each basic attribute;
obtaining a target endurance mileage through a preset calculation rule based on the residual electric quantity, the battery health degree and the basic endurance mileage, wherein the preset calculation rule is as follows: target endurance mileage = (remaining capacity × battery health degree)% × basic endurance mileage;
and sending the target endurance mileage to the driving equipment so that the driving equipment receives and outputs the target endurance mileage in a preset mode, wherein the preset mode comprises display and/or playing.
5. The driving range calculation method according to claim 4, wherein before the step of monitoring whether the driving device transmits each basic attribute and the real-time attribute value corresponding to each basic attribute, the driving range calculation method further comprises:
acquiring each target attribute corresponding to a plurality of driving events sent by the driving equipment and a real-time attribute value corresponding to each target attribute, wherein the driving state of the driving equipment is changed from a running state to a dormant state and corresponds to one driving event, and the target attributes comprise a starting time, an ending event, electric quantity loss and a driving mileage corresponding to the electric quantity loss, which correspond to the driving events;
calculating to obtain a preset endurance mileage corresponding to the battery electric quantity based on the electric quantity loss and the driving mileage corresponding to the electric quantity loss;
taking the preset endurance mileage corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute as a training set, and training a preset prediction model to enable the prediction model to output a predicted basic endurance mileage;
and/or storing the preset cruising range corresponding to each driving event, each target attribute and the real-time attribute value corresponding to each target attribute into a historical database.
6. The method of claim 5, wherein the step of obtaining the base mileage based on each of the basic attributes and the real-time attribute value corresponding to each of the basic attributes comprises:
inputting each basic attribute and the real-time attribute value corresponding to each basic attribute into the prediction model to obtain the basic endurance mileage output and predicted by the prediction model;
or calculating a difference value between each real-time attribute value and a real-time attribute value corresponding to a basic attribute in the historical database, obtaining a difference degree corresponding to each preset endurance mileage in the historical database based on each difference value and a preset percentage corresponding to each basic attribute, and determining the preset endurance mileage corresponding to the minimum difference degree as the basic endurance mileage.
7. A driving range calculation device applied to driving equipment, wherein the driving equipment is in communication connection with a calculation platform, and the driving range calculation device comprises:
the transmitting module is used for responding to a trigger event of the endurance mileage, transmitting each basic attribute and the real-time attribute value corresponding to each basic attribute to the computing platform, so that the computing platform obtains a target endurance mileage through a preset computing rule based on each basic attribute and the real-time attribute value corresponding to each basic attribute, and transmits the target endurance mileage to the driving equipment;
the receiving module is used for receiving and outputting the target endurance mileage through a preset mode, and the preset mode comprises display and/or play;
wherein the basic attribute comprises the remaining capacity and the battery health degree, and the preset calculation rule is as follows: target cruising range = (remaining capacity × battery health degree)% × basic cruising range.
8. A driving range calculation device applied to a computing platform, wherein the computing platform is in communication connection with a driving device, and the driving range calculation device comprises:
the monitoring module is used for monitoring whether the driving equipment sends each basic attribute and a real-time attribute value corresponding to each basic attribute, wherein the basic attributes comprise the residual electric quantity, the battery health degree, the load, the position information of the driving equipment and the driving state;
the receiving module is used for obtaining basic endurance mileage based on each basic attribute and the real-time attribute value corresponding to each basic attribute if receiving each basic attribute and the real-time attribute value corresponding to each basic attribute sent by the driving equipment;
a calculating module, configured to obtain a target endurance mileage through a preset calculation rule based on the remaining power, the battery health degree, and the basic endurance mileage, where the preset calculation rule is: target endurance mileage = (remaining capacity × battery health)% × basic endurance mileage;
and the sending module is used for sending the target endurance mileage to the driving equipment so as to enable the driving equipment to receive and output the target endurance mileage in a preset mode, wherein the preset mode comprises display and/or play.
9. A computer device, characterized in that the computer device comprises a processor and a memory, the memory storing a computer program which, when executed on the processor, implements the range calculation method of any one of claims 1 to 3 or the range calculation method of any one of claims 4 to 6.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed on a processor, implements the range calculation method of any one of claims 1 to 3 or the range calculation method of any one of claims 4 to 6.
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