CN119078586B - Electric vehicle charging cable voltage drop automatic compensation system and method - Google Patents
Electric vehicle charging cable voltage drop automatic compensation system and method Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
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Abstract
本发明涉及技术领域，具体为电动车充电线缆压降自动补偿系统及方法，系统包括协议智能匹配模块、电力数据采集模块、温度影响分析模块、线缆电阻估算模块、变化模式分析模块、动态电压补偿模块。本发明中，通过对电动汽车型号信息和电量数据的智能分析，匹配充电协议并适配多种车型的需求，优化充电过程中的电池健康管理，实时监测电压、电流和接口温度并记录数据，并通过温度变化的补偿计算，提高电压测量的准确性，实时电阻计算与波动模式分析确保充电线缆在使用过程中的性能和健康状态得到实时监控，通过调整电压输出补偿压降和电压波动，实现充电过程的最优化，增加充电过程的适应性和智能化程度，减少充电时间并提高电池寿命。
The present invention relates to a technical field, specifically to an automatic compensation system and method for voltage drop of an electric vehicle charging cable, wherein the system includes a protocol intelligent matching module, a power data acquisition module, a temperature impact analysis module, a cable resistance estimation module, a change pattern analysis module, and a dynamic voltage compensation module. In the present invention, by intelligently analyzing the model information and power data of electric vehicles, the charging protocol is matched and adapted to the needs of various vehicle models, the battery health management during the charging process is optimized, the voltage, current and interface temperature are monitored in real time and the data is recorded, and the accuracy of voltage measurement is improved through compensation calculation of temperature changes. Real-time resistance calculation and fluctuation pattern analysis ensure that the performance and health status of the charging cable during use are monitored in real time, and by adjusting the voltage output to compensate for the voltage drop and voltage fluctuation, the charging process is optimized, the adaptability and intelligence of the charging process are increased, the charging time is reduced, and the battery life is increased.
Description
Technical Field
The invention relates to the technical field, in particular to an automatic compensation system and method for voltage drop of an electric vehicle charging cable.
Background
The technical field of automobile charging is focused on providing efficient, reliable and safe charging solutions for electric automobiles, and is used for adapting to the increasing market demands of the electric automobiles, through the design and layout of charging stations, the research and development of charging equipment and the energy management and optimization of charging processes, the construction of charging station networks, quick charging technologies, wireless charging, intelligent charging strategies and energy feedback systems are combined, the charging efficiency is improved, the charging time is shortened, the coverage range of the charging networks is expanded, the intelligent and user interaction experience of the charging systems is enhanced, and the practicability and the attraction of the electric automobiles are improved.
The automatic compensation system for the voltage drop of the charging cable of the electric vehicle is focused on optimizing the charging process of the electric vehicle, solves the problem of voltage loss caused by long-distance and large-current transmission of the cable in the charging process, dynamically adjusts the output voltage by monitoring the voltage change in the charging process, realizes automatic compensation for the voltage drop, ensures that the electric vehicle obtains stable and enough voltage during charging, improves the charging efficiency, shortens the charging time and reduces the energy loss, improves the use convenience and the economy of the electric vehicle, improves the charging quality of the battery and prolongs the service life of the battery, and is applied to charging facilities used for various electric vehicle types and occasions needing large-current or long-distance charging, including public charging stations and commercial vehicle charging networks.
The traditional charging cable voltage drop compensation technology is capable of solving the problems of voltage loss and efficiency reduction when large current and long-distance charging are processed, under the background of rapid growth of electric vehicle markets, the design and layout of charging stations, research and development of charging equipment and energy management and optimization of a charging process lack of flexibility and intelligent processing capacity, the charging cable voltage drop compensation technology cannot adapt to various complicated and changeable charging demands, the problem of energy loss caused by long-distance transmission of cables in the charging process is caused, the influence of environmental factors on voltage measurement precision is caused, the improvement of charging efficiency is limited, the resistance change and voltage fluctuation in the charging process cannot be monitored and adjusted in real time, the battery loss is caused, the service life of the battery is shortened, and the maintenance cost of a user is increased.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides an automatic compensating system and an automatic compensating method for the voltage drop of an electric vehicle charging cable.
In order to achieve the above purpose, the invention adopts the following technical scheme that the automatic compensation system for the voltage drop of the charging cable of the electric vehicle comprises:
The protocol intelligent matching module is used for matching a charging protocol based on the model information of the electric automobile and combining the residual electric quantity of the electric automobile, and the charging rate, the battery health maintenance and the expected charging time are considered to generate a charging protocol matching record;
the power data acquisition module monitors and records voltage, current and interface temperature values in real time according to the charging protocol matching record, wherein the power data acquisition module comprises a charging initial peak voltage and a steady-stage voltage, sequences data according to time information and generates a voltage and current data record;
the temperature influence analysis module acquires the voltage and current data record, calculates the influence and compensation parameters of temperature change on voltage value measurement by combining interface temperature data collected by the temperature sensor, and adjusts the voltage measurement data to generate a voltage data calibration record;
The cable resistance estimation module uses the voltage data to calibrate and record, and performs denoising processing on the real-time current data to calculate the real-time resistance of the charging cable, evaluate the cable performance and health state in the charging process and generate a real-time resistance calculation value;
The change pattern analysis module analyzes the real-time resistance calculated value, recognizes a fluctuation pattern of voltage by analyzing the voltage data, predicts the voltage change condition and generates a fluctuation pattern recognition result;
And the dynamic voltage compensation module calculates and adjusts voltage output based on the fluctuation mode identification result and by combining the real-time resistance value of the cable, compensates and matches the voltage drop and the voltage fluctuation of the cable, and generates compensation voltage output parameters.
As a further scheme of the invention, the charging protocol matching record comprises a protocol type selection record, expected charging duration information and a battery life effect analysis result, the voltage and current data record comprises voltage peak value record data, stable phase average voltage information and a current waveform chart, the voltage data calibration record comprises voltage value information before and after correction, a temperature compensation coefficient and a calibration time stamp, the real-time resistance calculated value comprises a cable resistance value, a resistance stability score and a resistance trend analysis chart, the fluctuation pattern identification result comprises identified voltage fluctuation type, fluctuation duration and fluctuation effect evaluation data on charging efficiency, and the compensation voltage output parameter comprises voltage output value adjustment result, compensation efficiency evaluation data and expected charging time reduction percentage.
As a further aspect of the present invention, the protocol intelligent matching module includes:
The vehicle information analysis submodule analyzes the charging requirements and characteristics of the electric vehicles of the target brands and models based on the electric vehicle model information, and generates charging requirement analysis data by combining the residual electric quantity and the battery health condition;
The protocol analysis and calculation sub-module calculates and matches a charging rate in consideration of the battery health condition based on the charging demand analysis data, analyzes an expected charging time and generates matched charging protocol data;
and the charging protocol recording sub-module records the charging protocol type, the predicted charging duration and the predicted battery life influence based on the matching charging protocol data, and generates a charging protocol matching record.
As a further aspect of the present invention, the power data acquisition module includes:
the power real-time monitoring sub-module monitors charging voltage, current and interface temperature data in the charging process in real time based on the charging protocol matching record, and generates real-time monitoring data;
The voltage data recording submodule analyzes the voltage value of the stable stage in the charging process based on the real-time monitoring data, identifies and records the charging initial peak voltage and generates a voltage data analysis record;
And the data sequencing submodule is used for sequencing the power data according to the time information based on the voltage data analysis record, drawing a charging voltage and current curve and generating a voltage and current data record.
As a further aspect of the present invention, the temperature influence analysis module includes:
The data association evaluation submodule receives the voltage and current data record, synchronizes interface temperature data acquired by the temperature sensor, carries out association analysis on the voltage and temperature data, and generates a temperature association analysis result;
The temperature compensation submodule analyzes and calculates the influence of temperature on voltage measurement based on the temperature correlation analysis result, calculates compensation parameters required by voltage measurement values and generates compensation parameter analysis data;
And the calibration parameter recording submodule adjusts the numerical value of the output voltage based on the compensation parameter analysis data, records the adjusted voltage value and the compensation parameter and generates a voltage data calibration record.
As a further aspect of the present invention, the specific formula of the compensation parameter required for calculating the voltage measurement value is:
,
Wherein, Representing the calculated compensation parameter, T representing the interface temperature collected by the temperature sensor,Indicating baseline compensation parameters, in the absence of temperature changes, providing initial adjustment of the voltage measurement,Representing the direct linear effect of temperature changes on the compensation parameter, allows the compensation parameter to be adjusted with a linear increase in temperature,The secondary influence of temperature change is represented and used for capturing the strengthening or weakening effect of the temperature change on compensation, ensuring the accuracy of compensation parameters when the temperature extremely changes, predicting and compensating voltage measurement errors caused by the temperature change through a formula, and ensuring the accuracy and stability of voltage measurement in the charging process of the electric vehicle.
As a further aspect of the present invention, the cable resistance estimation module includes:
The current data denoising submodule uses the voltage data calibration record to denoise current data acquired in real time to eliminate sensor errors and external interference, and generates a current data processing result;
The resistance calculation submodule calculates the real-time resistance of the charging cable based on the current data processing result and combines the real-time voltage data to generate a real-time cable resistance value;
and the cable performance evaluation submodule evaluates the performance and health state of the cable in the charging process based on the real-time cable resistance value and generates a real-time resistance calculation value.
As a further aspect of the present invention, the change pattern analysis module includes:
The voltage data analysis submodule is used for calculating the average value and the peak-valley value of the voltage data by analyzing the time sequence data of the voltage based on the real-time resistance calculated value, identifying the abnormal fluctuation and the stable phase characteristics of the voltage and generating a voltage fluctuation analysis result;
The fluctuation mode identification submodule identifies periodic fluctuation in the voltage time sequence based on the voltage fluctuation analysis result, analyzes the fluctuation mode of the voltage data and generates a fluctuation mode record;
And the fluctuation prediction submodule predicts the change trend of the voltage based on the fluctuation mode record and combines the real-time voltage data to generate a fluctuation mode identification result.
As a further aspect of the present invention, the dynamic voltage compensation module includes:
The compensation calculation operator module analyzes the voltage compensation quantity required by the power supply output according to the fluctuation mode identification result, calculates the adjustment range and the speed, and generates a compensation demand analysis result;
the adjustment value calculation submodule calculates voltage compensation parameters, adjusts the voltage value and the adjustment rate based on the compensation demand analysis result, and generates a compensation parameter calculation result;
And the adjustment execution submodule adjusts voltage output compensation cable voltage drop based on the compensation parameter calculation result, optimizes voltage stability and charging efficiency and generates compensation voltage output parameters.
The automatic compensation method for the voltage drop of the charging cable of the electric vehicle is executed based on the automatic compensation system for the voltage drop of the charging cable of the electric vehicle and comprises the following steps:
S1, based on model information of an electric automobile, according to the residual electric quantity of the electric automobile, considering the charging rate, battery health maintenance and expected charging time, analyzing charging characteristics, matching a charging protocol, and generating a protocol analysis result;
S2, based on the protocol analysis result, monitoring voltage, current and interface temperature data in the charging process of the electric automobile in real time, recording initial peak voltage and voltage in a stable stage, and generating a real-time power monitoring record;
s3, according to the real-time power monitoring record, calculating the influence of temperature on voltage measurement through the interface temperature measured by the temperature sensor, adjusting voltage reading, and generating a temperature adjustment voltage record;
s4, calculating the resistance of the charging cable of the electric vehicle according to real-time current data by utilizing the temperature adjustment voltage record, and generating a resistance value calculation result;
and S5, based on the resistance value calculation result, identifying a voltage fluctuation mode by analyzing the voltage change, adjusting voltage output by combining the resistance value, compensating cable voltage drop and voltage fluctuation, and generating a compensation voltage output parameter.
Compared with the prior art, the invention has the advantages and positive effects that:
According to the invention, through intelligent analysis of the model information and the electric quantity data of the electric automobile, the charging protocol is matched and the requirements of various automobile types are adapted, the battery health management in the charging process is optimized, the voltage, the current and the interface temperature are monitored in real time, the data are recorded, the accuracy of voltage measurement is improved through compensation calculation of temperature change, the real-time resistance calculation and fluctuation mode analysis ensure that the performance and the health state of the charging cable in the use process are monitored in real time, the optimization of the charging process is realized through adjusting the voltage output to compensate the voltage drop and the voltage fluctuation, the adaptability and the intelligent degree of the charging process are increased, the charging time is shortened, and the service life of the battery is prolonged.
Drawings
FIG. 1 is a system flow diagram of the present invention;
FIG. 2 is a schematic diagram of a system framework of the present invention;
FIG. 3 is a flow chart of the intelligent matching module of the protocol of the present invention;
FIG. 4 is a flow chart of a power data collection module according to the present invention;
FIG. 5 is a flow chart of a temperature impact analysis module according to the present invention;
FIG. 6 is a flow chart of a cable resistance estimation module according to the present invention;
FIG. 7 is a flow chart of a change pattern analysis module according to the present invention;
FIG. 8 is a flow chart of a dynamic voltage compensation module according to the present invention;
FIG. 9 is a schematic diagram of the method steps of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In the description of the present invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention. Furthermore, in the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Embodiment one:
Referring to fig. 1 to 2, the present invention provides a technical solution, an automatic compensation system for voltage drop of a charging cable of an electric vehicle includes:
The protocol intelligent matching module is used for matching a charging protocol based on the model information of the electric automobile and combining the residual electric quantity of the electric automobile, and the charging rate, the battery health maintenance and the expected charging time are considered to generate a charging protocol matching record;
The power data acquisition module monitors and records voltage, current and interface temperature values in real time according to the charging protocol matching record, wherein the voltage comprises a charging initial peak voltage and a steady-stage voltage, and sequences data according to time information to generate a voltage and current data record;
the temperature influence analysis module acquires voltage and current data records, calculates influence and compensation parameters of temperature change on voltage value measurement by combining interface temperature data collected by the temperature sensor, and adjusts voltage measurement data to generate voltage data calibration records;
the cable resistance estimation module uses voltage data to calibrate and record, calculates the real-time resistance of the charging cable by denoising the real-time current data, evaluates the cable performance and health state in the charging process, and generates a real-time resistance calculation value;
The change pattern analysis module analyzes the real-time resistance calculation value, recognizes the fluctuation pattern of the voltage by analyzing the voltage data, predicts the voltage change condition and generates a fluctuation pattern recognition result;
The dynamic voltage compensation module calculates and adjusts voltage output based on the fluctuation mode identification result and by combining the real-time resistance value of the cable, compensates and matches the voltage drop and the voltage fluctuation of the cable, and generates compensation voltage output parameters.
The charging protocol matching record comprises a protocol type selection record, predicted charging duration information and a battery life influence analysis result, the voltage and current data record comprises voltage peak value record data, stable phase average voltage information and a current waveform chart, the voltage data calibration record comprises voltage value information before and after correction, a temperature compensation coefficient and a calibration time stamp, the real-time resistance calculation value comprises a cable resistance value, a resistance stability score and a resistance trend analysis chart, the fluctuation mode identification result comprises an identified voltage fluctuation type, fluctuation duration and influence evaluation data of fluctuation on charging efficiency, and the compensation voltage output parameter comprises a voltage output value adjustment result, compensation efficiency evaluation data and an expected charging time reduction percentage.
Referring to fig. 2 and 3, the protocol intelligent matching module includes:
The vehicle information analysis submodule analyzes the charging requirements and characteristics of the electric vehicles of the target brands and models based on the electric vehicle model information, and generates charging requirement analysis data by combining the residual electric quantity and the battery health condition;
In the vehicle information analysis submodule, electric vehicle data of target brands and models are collected and arranged based on electric vehicle model information, the electric vehicle data comprise battery technical specifications, historical charging behavior data and use frequency, charging requirements are estimated according to the residual quantity and health conditions of batteries, a prediction model is used for analyzing and estimating charging behaviors and battery loss modes of each model of electric vehicle under different use conditions, charging requirement analysis data are generated, the influences of charging requirements and expected battery life of each model of vehicle under target conditions are pointed out by the data, and required charging facility improvement measures are used for optimizing charging strategies and planning battery maintenance.
The protocol analysis and calculation sub-module is used for calculating and matching the charging rate according to the battery health condition based on the charging demand analysis data, analyzing the expected charging time and generating matched charging protocol data;
In the above, the protocol analysis and calculation submodule analyzes data and battery health condition by adopting the charging requirement of the electric automobile according to the formula Calculating a matched charge rate;
wherein A represents a battery state of health index, B represents a demand response coefficient, C represents a charging rate, D represents a standard charging time, E represents a battery capacity regulating factor, ideal charging rates and expected charging times under different battery states and charging demands are calculated through a formula, and the obtained charging rates and times are analyzed to influence the charging efficiency and the extension of the battery life;
formula details and formula calculation derivation process:
assuming a=0.8, indicating good battery health, indicating high demand response, d=60 minutes, indicating slight capacity drop, calculation:
,
The results indicated an ideal charge rate of 85.5 units per hour.
The charging protocol recording sub-module records the charging protocol type, the predicted charging duration and the predicted battery life influence based on the matching charging protocol data, and generates a charging protocol matching record;
In the charging protocol recording sub-module, based on the obtained matching charging protocol data, the charging protocol type of each charging activity is recorded, wherein the charging protocol type comprises technical specifications, charging rate and connection type of a protocol, the influences of the predicted charging duration and charging behavior on the service life of the battery are estimated, the method comprises the steps of receiving and processing data, comparing and analyzing the data records with a vehicle maintenance database and personal preferences of a user, the generated records help the user and a maintenance team analyze the actual effect of the charging protocol and the health condition of the battery, a basis is provided for subsequent maintenance, and the generated matching records show the implementation effect of the charging protocol and the influences on the service life of the battery.
Referring to fig. 2 and 4, the power data acquisition module includes:
The power real-time monitoring submodule monitors charging voltage, current and interface temperature data in the charging process in real time based on the charging protocol matching record to generate real-time monitoring data;
In the electric power real-time monitoring submodule, based on charging protocol matching records, charging voltage, current and interface temperature in the charging process are monitored in real time, data are used for analyzing charging efficiency and safety, readings of the voltage and the current are collected through a sensor, meanwhile, the temperature at the interface is monitored, safety problems caused by overheating are prevented, the collected data are subjected to preliminary processing through analysis software, abnormal values are screened for alarming, normal data are transmitted to a central database for analysis and recording, and generated real-time monitoring data provide a charging process view to ensure stable running of the charging process and the health condition of a battery.
The voltage data recording sub-module is used for analyzing the voltage value of the stable stage in the charging process based on the real-time monitoring data, identifying and recording the charging initial peak voltage and generating a voltage data analysis record;
In the voltage data recording sub-module, based on real-time monitoring data, voltage values at a stable stage in a charging process are analyzed, safety and efficiency of the charging process are evaluated, peak voltage at the beginning of charging is identified by comparing voltage changes at different stages, peak data are used for evaluating charging capacity of a battery, recorded peak voltage data and voltage information are used for analyzing health states of the battery and performances of charging equipment, and the generated voltage data analysis record provides detailed records of voltage in the charging process and data support for equipment maintenance and fault prevention.
The data sorting submodule sorts the electric power data based on the voltage data analysis record according to the time information, draws charging voltage and current curves and generates a voltage and current data record;
in the above, the data sorting submodule analyzes the time information in the record by using the voltage data according to the formula Sequencing charging voltage and current and drawing a curve;
In the formula, Representing the charging voltage at time t,Representing the corresponding charging current to be charged,AndGenerating a voltage and current relation diagram in the charging process according to a coefficient regulated according to the relation between the voltage and the current through a formula, and providing graphic data for analyzing the charging efficiency and the battery performance;
formula details and formula calculation derivation process:
it is assumed that at the target point in time, =5, Current=10 Amperes, calculate:
,
the calculation results are used to monitor voltage fluctuations and the effect on charging performance.
Referring to fig. 2 and 5, the temperature influence analysis module includes:
The data association evaluation submodule receives the voltage and current data record, synchronizes interface temperature data acquired by the temperature sensor, carries out association analysis on the voltage and temperature data, and generates a temperature association analysis result;
In the electric power real-time monitoring submodule, based on the charging protocol matching record, the voltage, the current and the interface temperature in the charging process are monitored, the voltage and the current data are collected in real time by adopting a sensor, meanwhile, the problem caused by overheat is prevented by monitoring the temperature of the interface, through carrying out preliminary analysis on the real-time data, abnormal fluctuation or potential risk is identified, accurate transmission and processing of the data are ensured, the charging efficiency and the equipment safety are evaluated by utilizing the real-time monitoring data, the collected information is analyzed by a data analysis module, the real-time monitoring result is output, and scientific basis is provided for the operation and charging strategy adjustment of the charging station as a result, and the management and monitoring efficiency of the charging process are improved.
The temperature compensation submodule analyzes and calculates the influence of temperature on voltage measurement based on the temperature correlation analysis result, calculates compensation parameters required by voltage measurement values and generates compensation parameter analysis data;
The specific formula of the compensation parameter needed for calculating the voltage measurement value is as follows:
,
Wherein, Representing the calculated compensation parameter, T representing the interface temperature collected by the temperature sensor,Indicating baseline compensation parameters, in the absence of temperature changes, providing initial adjustment of the voltage measurement,Representing the direct linear effect of temperature changes on the compensation parameter, allows the compensation parameter to be adjusted with a linear increase in temperature,The secondary influence of temperature change is represented and used for capturing the strengthening or weakening effect of the temperature change on compensation, ensuring the accuracy of compensation parameters when the temperature extremely changes, predicting and compensating voltage measurement errors caused by the temperature change through a formula, and ensuring the accuracy and stability of voltage measurement in the charging process of the electric vehicle.
Formula details and formula calculation derivation process:
the formula is used for calculating a compensation parameter of a voltage measurement error caused by temperature change, adjusting a measured voltage value and compensating a voltage reading error caused by temperature fluctuation;
parameter meaning and setting value:
the base voltage compensation parameter under the temperature change is assumed to be 0.5;
The primary compensation coefficient of the temperature is assumed to be 0.05, and the amount by which the voltage reading is adjusted is reflected every 1 ℃ is added, so that the direct linear relation between the temperature and the voltage reading is shown;
the second compensation coefficient for temperature, assumed to be 0.01, is used to deal with the nonlinear part of the effect of temperature variation on voltage compensation.
Assume that in the target measurement, the interface temperature T is 30 ℃;
Substituting the numerical value into a formula to calculate:
,
,
,
,
The results show that at 30 ℃, in order to accurately compensate for the voltage reading error, the raw voltage value needs to be adjusted by 11 units, the adjustment value being used to ensure the stability and reliability of the reading in the voltage measurement.
The calibration parameter recording submodule adjusts the numerical value of the output voltage based on the compensation parameter analysis data, records the adjusted voltage value and the compensation parameter and generates a voltage data calibration record;
In the voltage data recording submodule, based on real-time monitoring data, the voltage in a stable stage in the charging process is analyzed, the peak value and fluctuation of the voltage are monitored in real time, the stability of the voltage in the charging process is ensured, the voltage peak value is identified through an algorithm, the charging acceptance of a battery is evaluated, the health state of the battery is monitored, the charging strategy is optimized, the voltage change in the charging process is recorded, data support is provided for voltage adjustment and maintenance work, the long-term stable operation of charging equipment is ensured, and the use safety and convenience of electric vehicle users are ensured.
Referring to fig. 2 and 6, the cable resistance estimation module includes:
the current data denoising submodule uses voltage data calibration record to denoise current data acquired in real time to eliminate sensor errors and external interference, and generates a current data processing result;
In the current data denoising sub-module, based on voltage data calibration records, current data acquired by a sensor are received, the data comprise interference caused by environmental noise or sensor errors, a digital filtering technology is applied to process the current data, a low-pass filter is used to reject high-frequency noise, a voltage value in the calibration records is used to correct current readings, the accuracy of the data is ensured, the statistical analysis of the data is combined, the average value and standard deviation of the data are calculated, abnormal values are identified and removed, the quality and reliability of the current data are ensured, the overall performance of a charging system is improved, and the generated current data processing result comprises the current values subjected to denoising and calibration, so that basic data are provided for subsequent electric energy analysis and charging control.
The resistor calculation sub-module calculates the real-time resistor of the charging cable based on the current data processing result and in combination with the real-time voltage data to generate a real-time cable resistance value;
In the above, the resistance calculation sub-module calculates the current data according to the current data processing result and the real-time voltage data according to the formula Calculating the real-time resistance of the charging cable;
wherein R represents a resistance value, V represents a real-time voltage, Representing real-time current, wherein a formula helps to ensure that the resistance of the charging equipment is in a safe range, monitors the health state of the cable and generates a real-time cable resistance value;
formula details and formula calculation derivation process:
Real-time current assuming real-time voltage v=240 volts Amperes, calculated resistance:
,
the calculation result provides real-time evaluation of the health and performance of the charging cable and provides basis for cable maintenance and replacement.
The cable performance evaluation submodule evaluates the performance and health state of the cable in the charging process based on the real-time cable resistance value to generate a real-time resistance calculation value;
In the cable performance evaluation submodule, the performance and the health state of the cable in the charging process are evaluated based on the real-time cable resistance value, the cable loss or damage is identified through continuous monitoring of the real-time resistance value, the insulation performance of the cable is predicted to be reduced through abnormal rising of the analysis resistance value, the cable temperature is ensured to be kept within a safety range in the charging process through evaluating the thermal performance of the cable, the charging safety and efficiency are ensured through real-time data analysis, and the generated real-time resistance calculated value provides scientific basis for equipment maintenance and operation decision, and the problem is identified in advance and necessary maintenance or replacement is carried out.
Referring to fig. 2 and 7, the change pattern analysis module includes:
The voltage data analysis submodule is used for analyzing time series data of the voltage based on the real-time resistance calculated value, calculating an average value and a peak-valley value of the voltage data, identifying abnormal fluctuation and stable phase characteristics of the voltage and generating a voltage fluctuation analysis result;
In the above, the voltage data analysis submodule analyzes time series data of the voltage according to the real-time resistance calculation value and the formula AndCalculating the average value and peak-valley value of the voltage data;
In the formula, Represents the average voltage of the power supply,Representing the difference between the peaks and the valleys,Representing the voltage value at the i-th moment, wherein n represents the number of samples, and the formula is used for identifying the characteristics of abnormal fluctuation and stable phase of the voltage to generate a voltage fluctuation analysis result;
formula details and formula calculation derivation process:
Assume a set of voltage time series data Average voltage was calculated:
,
Calculating peak-valley difference: ,
the quantitative analysis of the voltage fluctuation is realized, and the stability of the power system is optimally monitored and maintained.
The fluctuation mode identification submodule identifies periodic fluctuation in the voltage time sequence based on a voltage fluctuation analysis result, analyzes a fluctuation mode of the voltage data and generates a fluctuation mode record;
In the fluctuation mode identification submodule, key features in a voltage time sequence are identified based on a voltage fluctuation analysis result, the key frequency and amplitude of voltage fluctuation are determined through time sequence analysis, the periodicity of the voltage fluctuation is analyzed through Fourier transformation, voltage data are converted into a frequency domain to be processed, key frequency components are identified, the autocorrelation and the persistence of the voltage fluctuation are estimated through an autoregressive model, the fluctuation mode of the voltage is identified and recorded, data support is provided for subsequent prediction and adjustment, the generated fluctuation mode record lists the features and causes of each main fluctuation mode, and key basis is provided for voltage stability control and risk management.
The fluctuation prediction submodule predicts the change trend of the voltage based on the fluctuation mode record by combining the real-time voltage data and generates a fluctuation mode identification result;
In the fluctuation prediction submodule, based on fluctuation mode record, a statistical prediction model moving average and an exponential smoothing method are combined with real-time voltage data, the change trend of future voltage is predicted, parameters of a prediction model including a smoothing coefficient and a trend adjustment factor are determined through analysis of historical voltage data, voltage abnormality is rapidly responded through predicting fluctuation and an appearing extreme point of the voltage in a short period, equipment damage or operation interruption caused by the voltage fluctuation is avoided, a generated fluctuation mode recognition result shows the trend and accuracy of the predicted voltage change, and scientific basis is provided for stable operation of a system.
Referring to fig. 2 and 8, the dynamic voltage compensation module includes:
the compensation calculation operator module analyzes the voltage compensation quantity required by the power supply output according to the fluctuation mode identification result, calculates the adjustment range and the speed, and generates a compensation demand analysis result;
In the compensation meter operator module, voltage fluctuation data including instantaneous voltage peaks and valleys are acquired from a power supply system based on a fluctuation pattern recognition result, a main pattern of voltage fluctuation including periodic fluctuation or random fluctuation is recognized by analyzing the power data, the voltage fluctuation size outside a normal operation range is determined by calculating an average value and a standard deviation of the voltage fluctuation, the sensitivity of different devices to voltage stability is considered, a required voltage compensation amount is determined according to a voltage sensitivity threshold of the devices, the amplitude and the speed of compensation adjustment are calculated according to an analysis result and a preset performance index, the voltage output by the power supply is ensured to be quickly and accurately adjusted to an ideal state, damage to sensitive devices is prevented, and the generated compensation demand analysis result provides specific parameters and guidance for executing compensation for the control system.
The adjustment value calculation submodule calculates voltage compensation parameters based on the compensation demand analysis result, adjusts the voltage value and the adjustment rate, and generates a compensation parameter calculation result;
in the regulation value calculation sub-module, a voltage value to be regulated is determined based on a compensation demand analysis result, a numerical value is obtained by analyzing a voltage fluctuation analysis result, the average deviation of voltage is extracted from a fluctuation mode and is applied to a formula to carry out actual compensation value calculation, the setting of a regulation rate is based on the reaction time of a system and the stability requirement of a power grid, a proportional-integral-differential control strategy is used in the regulation process, the voltage regulation is ensured to be quick and accurate, the regulated voltage value and the regulation rate are recorded in a control log of the system, reference and basis are provided for subsequent operation, and a compensation parameter calculation result is generated.
The adjustment execution submodule adjusts voltage output compensation cable voltage drop based on the compensation parameter calculation result, optimizes voltage stability and charging efficiency and generates compensation voltage output parameters;
In the adjustment execution submodule, based on the calculation result of the compensation parameter, the adjustment of voltage output is executed to compensate the voltage loss caused by the voltage drop of the cable, the voltage difference required to be compensated is calculated by measuring the actual voltage loss of the cable under the current load, the compensation parameter is applied to adjust the output voltage, the stability of the voltage in the charging process is ensured by dynamically adjusting the compensation value through monitoring the voltage and current data in real time, the generated compensation voltage output parameter records the parameter and the implementation condition of each adjustment, the maximization of the charging efficiency and the stable operation of the power system are ensured, and a data basis is provided for the maintenance and the upgrading of the system.
Referring to fig. 9, the method for automatically compensating the voltage drop of the charging cable of the electric vehicle is performed based on the system for automatically compensating the voltage drop of the charging cable of the electric vehicle, and includes the following steps:
S1, based on model information of an electric automobile, according to the residual electric quantity of the electric automobile, considering the charging rate, battery health maintenance and expected charging time, analyzing charging characteristics, matching a charging protocol, and generating a protocol analysis result;
s2, based on a protocol analysis result, monitoring voltage, current and interface temperature data in the charging process of the electric automobile in real time, recording initial peak voltage and stable-stage voltage, and generating a real-time power monitoring record;
s3, calculating the influence of temperature on voltage measurement according to real-time power monitoring records and interface temperature measured by a temperature sensor, adjusting voltage reading, and generating temperature adjustment voltage records;
S4, calculating the resistance of the charging cable of the electric vehicle according to real-time current data by utilizing temperature adjustment voltage record, and generating a resistance value calculation result;
And S5, based on the resistance value calculation result, identifying a voltage fluctuation mode by analyzing the voltage change, adjusting voltage output by combining the resistance value, compensating cable voltage drop and voltage fluctuation, and generating a compensation voltage output parameter.
The present invention is not limited to the above embodiments, and any equivalent embodiments which can be changed or modified by the technical disclosure described above can be applied to other fields, but any simple modification, equivalent changes and modification made to the above embodiments according to the technical matter of the present invention will still fall within the scope of the technical disclosure.
Claims (8)
1. Automatic compensation system for voltage drop of charging cable of electric vehicle, characterized in that the system comprises:
The protocol intelligent matching module is used for matching a charging protocol based on the model information of the electric automobile and combining the residual electric quantity of the electric automobile, and the charging rate, the battery health maintenance and the expected charging time are considered to generate a charging protocol matching record;
the power data acquisition module monitors and records voltage, current and interface temperature values in real time according to the charging protocol matching record, wherein the power data acquisition module comprises a charging initial peak voltage and a steady-stage voltage, sequences data according to time information and generates a voltage and current data record;
the temperature influence analysis module acquires the voltage and current data record, calculates the influence and compensation parameters of temperature change on voltage value measurement by combining interface temperature data collected by the temperature sensor, and adjusts the voltage measurement data to generate a voltage data calibration record;
the temperature influence analysis module includes:
The data association evaluation submodule receives the voltage and current data record, synchronizes interface temperature data acquired by the temperature sensor, carries out association analysis on the voltage and temperature data, and generates a temperature association analysis result;
The temperature compensation submodule analyzes and calculates the influence of temperature on voltage measurement based on the temperature correlation analysis result, calculates compensation parameters required by voltage measurement values and generates compensation parameter analysis data;
the calibration parameter recording submodule adjusts the numerical value of the output voltage based on the compensation parameter analysis data, records the adjusted voltage value and the compensation parameter and generates a voltage data calibration record;
the specific formula of the compensation parameter needed by calculating the voltage measurement value is as follows:
,
Wherein, Representing the calculated compensation parameter, T representing the interface temperature collected by the temperature sensor,Indicating baseline compensation parameters, in the absence of temperature changes, providing initial adjustment of the voltage measurement,Representing the direct linear effect of temperature changes on the compensation parameter, allows the compensation parameter to be adjusted with a linear increase in temperature,The secondary influence of temperature change is represented, the secondary influence is used for capturing the strengthening or weakening effect of the temperature change on compensation, ensuring the accuracy of compensation parameters when the temperature extremely changes, predicting and compensating voltage measurement errors caused by the temperature change through a formula, and ensuring the accuracy and stability of voltage measurement in the charging process of the electric vehicle;
The cable resistance estimation module uses the voltage data to calibrate and record, and performs denoising processing on the real-time current data to calculate the real-time resistance of the charging cable, evaluate the cable performance and health state in the charging process and generate a real-time resistance calculation value;
The change pattern analysis module analyzes the real-time resistance calculated value, recognizes a fluctuation pattern of voltage by analyzing the voltage data, predicts the voltage change condition and generates a fluctuation pattern recognition result;
And the dynamic voltage compensation module calculates and adjusts voltage output based on the fluctuation mode identification result and by combining the real-time resistance value of the cable, compensates and matches the voltage drop and the voltage fluctuation of the cable, and generates compensation voltage output parameters.
2. The electric vehicle charging cable voltage drop automatic compensation system of claim 1, wherein the charging protocol matching record includes a protocol type selection record, expected charging duration information, battery life impact analysis results, the voltage current data record includes voltage peak value record data, steady-phase average voltage information, current waveform diagrams, the voltage data calibration record includes pre-and post-calibration voltage value information, temperature compensation coefficients, calibration time stamps, the real-time resistance calculation values include cable resistance values, resistance stability scores, resistance trend analysis diagrams, the fluctuation pattern recognition results include recognized voltage fluctuation types, fluctuation duration, impact evaluation data of fluctuation on charging efficiency, and the compensation voltage output parameters include voltage output value adjustment results, compensation efficiency evaluation data, expected charging time reduction percentages.
3. The automatic compensation system of voltage drop of an electric vehicle charging cable according to claim 1, wherein the protocol intelligent matching module comprises:
The vehicle information analysis submodule analyzes the charging requirements and characteristics of the electric vehicles of the target brands and models based on the electric vehicle model information, and generates charging requirement analysis data by combining the residual electric quantity and the battery health condition;
The protocol analysis and calculation sub-module calculates and matches a charging rate in consideration of the battery health condition based on the charging demand analysis data, analyzes an expected charging time and generates matched charging protocol data;
and the charging protocol recording sub-module records the charging protocol type, the predicted charging duration and the predicted battery life influence based on the matching charging protocol data, and generates a charging protocol matching record.
4. The electric vehicle charging cable pressure drop automatic compensation system of claim 1, wherein the power data acquisition module comprises:
the power real-time monitoring sub-module monitors charging voltage, current and interface temperature data in the charging process in real time based on the charging protocol matching record, and generates real-time monitoring data;
The voltage data recording submodule analyzes the voltage value of the stable stage in the charging process based on the real-time monitoring data, identifies and records the charging initial peak voltage and generates a voltage data analysis record;
And the data sequencing submodule is used for sequencing the power data according to the time information based on the voltage data analysis record, drawing a charging voltage and current curve and generating a voltage and current data record.
5. The automatic compensation system of voltage drop of an electric vehicle charging cable of claim 1, wherein the cable resistance estimation module comprises:
The current data denoising submodule uses the voltage data calibration record to denoise current data acquired in real time to eliminate sensor errors and external interference, and generates a current data processing result;
The resistance calculation submodule calculates the real-time resistance of the charging cable based on the current data processing result and combines the real-time voltage data to generate a real-time cable resistance value;
and the cable performance evaluation submodule evaluates the performance and health state of the cable in the charging process based on the real-time cable resistance value and generates a real-time resistance calculation value.
6. The automatic compensation system for voltage drop of an electric vehicle charging cable according to claim 1, wherein the change pattern analysis module comprises:
The voltage data analysis submodule is used for calculating the average value and the peak-valley value of the voltage data by analyzing the time sequence data of the voltage based on the real-time resistance calculated value, identifying the abnormal fluctuation and the stable phase characteristics of the voltage and generating a voltage fluctuation analysis result;
The fluctuation mode identification submodule identifies periodic fluctuation in the voltage time sequence based on the voltage fluctuation analysis result, analyzes the fluctuation mode of the voltage data and generates a fluctuation mode record;
And the fluctuation prediction submodule predicts the change trend of the voltage based on the fluctuation mode record and combines the real-time voltage data to generate a fluctuation mode identification result.
7. The electric vehicle charging cable voltage drop automatic compensation system of claim 1, wherein the dynamic voltage compensation module comprises:
The compensation calculation operator module analyzes the voltage compensation quantity required by the power supply output according to the fluctuation mode identification result, calculates the adjustment range and the speed, and generates a compensation demand analysis result;
the adjustment value calculation submodule calculates voltage compensation parameters, adjusts the voltage value and the adjustment rate based on the compensation demand analysis result, and generates a compensation parameter calculation result;
And the adjustment execution submodule adjusts voltage output compensation cable voltage drop based on the compensation parameter calculation result, optimizes voltage stability and charging efficiency and generates compensation voltage output parameters.
8. The automatic compensation method for the voltage drop of the charging cable of the electric vehicle is characterized in that the automatic compensation system for the voltage drop of the charging cable of the electric vehicle according to any one of claims 1 to 7 is executed and comprises the following steps:
based on the model information of the electric automobile, according to the residual electric quantity of the electric automobile, the charging rate, the battery health maintenance and the expected charging time are considered, the charging characteristics are analyzed, a charging protocol is matched, and a protocol analysis result is generated;
Based on the protocol analysis result, monitoring voltage, current and interface temperature data in the charging process of the electric automobile in real time, recording initial peak voltage and stable-stage voltage, and generating real-time power monitoring records;
According to the real-time power monitoring record, calculating the influence of temperature on voltage measurement through the interface temperature measured by the temperature sensor, adjusting voltage reading, and generating a temperature adjustment voltage record;
Calculating the resistance of the charging cable of the electric vehicle according to real-time current data by utilizing the temperature adjustment voltage record, and generating a resistance value calculation result;
And based on the resistance value calculation result, identifying a voltage fluctuation mode by analyzing the voltage change, adjusting voltage output by combining the resistance value, compensating cable voltage drop and voltage fluctuation, and generating a compensation voltage output parameter.
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