Electric vehicle charging cable voltage drop automatic compensation system and method

Abstract

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

[0001] The present invention relates to the technical field, and in particular to an automatic voltage drop compensation system and method for electric vehicle charging cables. Background Art

[0002] The field of automotive charging technology focuses on providing efficient, reliable and safe charging solutions for electric vehicles to meet the growing market demand for electric vehicles. Through the design and layout of charging stations, the research and development of charging equipment, the energy management and optimization of the charging process, combined with the construction of charging station networks, fast charging technology, wireless charging, intelligent charging strategies and energy feedback systems, the charging efficiency is improved, the charging time is shortened, the coverage of the charging network is expanded, the intelligence of the charging system and the user interaction experience are enhanced, and the practicality and attractiveness of electric vehicles are improved.

[0003] Among them, the electric vehicle charging cable voltage drop automatic compensation system focuses on optimizing the charging process of electric vehicles and solving the voltage loss problem caused by long-distance and high-current transmission of cables during the charging process. By monitoring the voltage changes during the charging process and dynamically adjusting the output voltage, automatic compensation for the voltage drop is achieved to ensure that electric vehicles obtain stable and sufficient voltage during charging, improve charging efficiency, shorten charging time and reduce energy loss, enhance the convenience and economy of electric vehicles, improve battery charging quality and extend battery life. It is used in charging facilities used for a variety of electric vehicle models and in occasions where high current or long-distance charging is required, including public charging stations and commercial vehicle charging networks.

[0004] Traditional charging cable voltage drop compensation technology faces problems of voltage loss and reduced efficiency when dealing with large current and long-distance charging. Against the background of the rapid growth of the electric vehicle market, it lacks flexibility and intelligent processing capabilities in the design and layout of charging stations, the research and development of charging equipment, and the energy management and optimization of the charging process. It is unable to adapt to a variety of complex and changing charging needs, resulting in energy loss problems caused by long-distance cable transmission during the charging process, and the influence of environmental factors on voltage measurement accuracy, which limits the improvement of charging efficiency. It cannot monitor and adjust resistance changes and voltage fluctuations during the charging process in real time, resulting in battery loss and shortened battery life, and increasing user maintenance costs. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an automatic compensation system and method for voltage drop of an electric vehicle charging cable.

[0006] In order to achieve the above object, the present invention adopts the following technical solution, the electric vehicle charging cable voltage drop automatic compensation system comprises:

[0007] The protocol intelligent matching module matches the charging protocol and generates a charging protocol matching record based on the electric vehicle model information, the remaining power of the electric vehicle, the charging rate, battery health maintenance and expected charging time;

[0008] The power data acquisition module matches the records according to the charging protocol, monitors and records the voltage, current, and interface temperature values ​​in real time, including the peak voltage at the start of charging and the voltage at the stable stage, and sorts the data according to the time information to generate voltage and current data records;

[0009] The temperature impact analysis module obtains the voltage and current data records, combines the interface temperature data collected by the temperature sensor, calculates the impact of temperature changes on voltage numerical measurement and compensation parameters, and adjusts the voltage measurement data to generate a voltage data calibration record;

[0010] The cable resistance estimation module uses the voltage data calibration record to calculate the real-time resistance of the charging cable by denoising the real-time current data, evaluates the performance and health status of the cable during the charging process, and generates a real-time resistance calculation value;

[0011] The variation mode analysis module analyzes the real-time resistance calculation value, identifies the voltage fluctuation mode by analyzing the voltage data, and predicts the voltage variation, thereby generating a fluctuation mode recognition result;

[0012] The dynamic voltage compensation module calculates and adjusts the voltage output based on the fluctuation pattern recognition result and the real-time resistance value of the cable, compensates and matches the cable voltage drop and voltage fluctuation, and generates compensation voltage output parameters.

[0013] As a further solution of the present invention, the charging protocol matching record includes a protocol type selection record, an expected charging time information, and a battery life impact analysis result; the voltage and current data record includes a voltage peak record data, an average voltage information in a stable phase, and a current waveform diagram; the voltage data calibration record includes voltage value information before and after correction, a temperature compensation coefficient, and a calibration timestamp; the real-time resistance calculation value includes a cable resistance value, a resistance stability score, and a resistance trend analysis diagram; the fluctuation pattern recognition result includes an identified voltage fluctuation type, a fluctuation duration, and an evaluation data on the impact of the fluctuation on the charging efficiency; the compensated voltage output parameters include a voltage output value adjustment result, compensation efficiency evaluation data, and an expected charging time reduction percentage.

[0014] As a further solution of the present invention, the protocol intelligent matching module includes:

[0015] The vehicle information analysis submodule analyzes the charging requirements and characteristics of the target brand and model of electric vehicles based on the electric vehicle model information, and generates charging demand analysis data based on the remaining power and battery health status;

[0016] The protocol analysis and calculation submodule calculates and matches the charging rate based on the charging demand analysis data, considers the battery health status, analyzes the expected charging time, and generates matching charging protocol data;

[0017] The charging protocol recording submodule records the charging protocol type, the expected charging time and the predicted impact on the battery life based on the matching charging protocol data, and generates a charging protocol matching record.

[0018] As a further solution of the present invention, the power data acquisition module includes:

[0019] The power real-time monitoring submodule monitors the charging voltage, current, and interface temperature data during the charging process in real time based on the charging protocol matching record, and generates real-time monitoring data;

[0020] The voltage data recording submodule analyzes the voltage value in the stable stage of the charging process based on the real-time monitoring data, identifies and records the peak voltage at the beginning of charging, and generates a voltage data analysis record;

[0021] The data sorting submodule analyzes and records the voltage data, sorts the power data according to time information, draws charging voltage and current curves, and generates voltage and current data records.

[0022] As a further solution of the present invention, the temperature impact analysis module includes:

[0023] The data association evaluation submodule receives the voltage and current data records, synchronizes the interface temperature data collected by the temperature sensor, and performs association analysis on the voltage and temperature data to generate a temperature association analysis result;

[0024] The temperature compensation submodule analyzes and calculates the influence of temperature on voltage measurement based on the temperature correlation analysis result, calculates the compensation parameters required for the voltage measurement value, and generates compensation parameter analysis data;

[0025] The calibration parameter recording submodule adjusts the value of the output voltage based on the compensation parameter analysis data, and records the adjusted voltage value and compensation parameter to generate a voltage data calibration record.

[0026] As a further solution of the present invention, the specific formula for calculating the compensation parameter required for the voltage measurement value is:

[0027] ,

[0028] in, represents the calculated compensation parameter, T represents the interface temperature collected by the temperature sensor, It represents the baseline compensation parameter when there is no temperature change, providing the initial adjustment of the voltage measurement. Indicates the direct linear effect of temperature change on the compensation parameter, allowing the compensation parameter to be adjusted with a linear increase in temperature, It represents the secondary impact of temperature change and is used to capture the strengthening or weakening effect of temperature change on compensation, ensuring the accuracy of compensation parameters when the temperature changes extremely. It predicts and compensates the voltage measurement error caused by temperature change through the formula to ensure the accuracy and stability of voltage measurement during electric vehicle charging.

[0029] As a further solution of the present invention, the cable resistance estimation module includes:

[0030] The current data denoising submodule uses the voltage data calibration record to denoise the real-time collected current data to eliminate sensor errors and external interference, and generates a current data processing result;

[0031] The resistance calculation submodule calculates the real-time resistance of the charging cable based on the current data processing result and the real-time voltage data to generate a real-time cable resistance value;

[0032] The cable performance evaluation submodule evaluates the performance and health status of the cable during the charging process based on the real-time cable resistance value and generates a real-time resistance calculation value.

[0033] As a further solution of the present invention, the change pattern analysis module includes:

[0034] The voltage data analysis submodule calculates the average value and peak-to-valley value of the voltage data based on the real-time resistance calculation value, identifies the abnormal fluctuation and stable stage characteristics of the voltage, and generates a voltage fluctuation analysis result by analyzing the time series data of the voltage;

[0035] The fluctuation pattern recognition submodule recognizes the periodic fluctuation in the voltage time series based on the voltage fluctuation analysis result, analyzes the fluctuation pattern of the voltage data, and generates a fluctuation pattern record;

[0036] The fluctuation prediction submodule predicts the voltage variation trend based on the fluctuation pattern record and combines the real-time voltage data to generate a fluctuation pattern recognition result.

[0037] As a further solution of the present invention, the dynamic voltage compensation module includes:

[0038] The compensation amount calculation submodule analyzes the voltage compensation amount required for the power supply output according to the fluctuation mode recognition result, calculates the adjustment range and speed, and generates a compensation demand analysis result;

[0039] The adjustment value calculation submodule calculates the voltage compensation parameter based on the compensation demand analysis result, adjusts the voltage value and the adjustment rate, and generates the compensation parameter calculation result;

[0040] The adjustment execution submodule adjusts the voltage output to compensate for the cable voltage drop based on the compensation parameter calculation result, optimizes the voltage stability and charging efficiency, and generates the compensation voltage output parameters.

[0041] The method for automatically compensating for the voltage drop of an electric vehicle charging cable is implemented based on the above-mentioned automatic compensation system for the voltage drop of an electric vehicle charging cable, and comprises the following steps:

[0042] S1: Based on the electric vehicle model information, according to the remaining power of the electric vehicle, considering the charging rate, battery health maintenance and expected charging time, analyze the charging characteristics, match the charging protocol, and generate the protocol analysis results;

[0043] S2: Based on the protocol analysis results, the voltage, current, and interface temperature data of the electric vehicle during charging are monitored in real time, the starting peak voltage and the stable phase voltage are recorded, and a real-time power monitoring record is generated;

[0044] S3: According to the real-time power monitoring record, the interface temperature measured by the temperature sensor is used to calculate the influence of temperature on voltage measurement, adjust the voltage reading, and generate a temperature-adjusted voltage record;

[0045] S4: using the temperature-adjusted voltage record and according to the real-time current data, calculating the resistance of the electric vehicle charging cable to generate a resistance value calculation result;

[0046] S5: Based on the resistance value calculation result, by analyzing the voltage change, identifying the voltage fluctuation mode, adjusting the voltage output in combination with the resistance value, compensating for the cable voltage drop and voltage fluctuation, and generating a compensation voltage output parameter.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by intelligently analyzing the electric vehicle model information and power data, 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. By adjusting the voltage output to compensate for 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1is a system flow chart of the present invention;

[0050] Figure 2 It is a schematic diagram of the system framework of the present invention;

[0051] Figure 3 This is a flow chart of the protocol intelligent matching module of the present invention;

[0052] Figure 4 This is a flow chart of the power data acquisition module of the present invention;

[0053] Figure 5 It is a flow chart of the temperature impact analysis module of the present invention;

[0054] Figure 6 It is a flow chart of the cable resistance estimation module of the present invention;

[0055] Figure 7 It is a flow chart of the change mode analysis module of the present invention;

[0056] Figure 8 This is a flow chart of the dynamic voltage compensation module of the present invention;

[0057] Fig. 9 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0059] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0060] Embodiment 1:

[0061] See also Figure 1 to Figure 2 The present invention provides a technical solution, an electric vehicle charging cable voltage drop automatic compensation system comprises:

[0062] The protocol intelligent matching module matches the charging protocol and generates a charging protocol matching record based on the electric vehicle model information, the remaining power of the electric vehicle, the charging rate, battery health maintenance and expected charging time;

[0063] The power data acquisition module matches the records according to the charging protocol, monitors and records the voltage, current, and interface temperature values ​​in real time, including the peak voltage at the start of charging and the voltage at the stable stage, and sorts the data according to the time information to generate voltage and current data records;

[0064] The temperature impact analysis module obtains voltage and current data records, combines the interface temperature data collected by the temperature sensor, calculates the impact of temperature changes on voltage numerical measurement and compensation parameters, and adjusts the voltage measurement data to generate voltage data calibration records;

[0065] The cable resistance estimation module uses the voltage data calibration record to calculate the real-time resistance of the charging cable by denoising the real-time current data, evaluate the cable performance and health status during the charging process, and generate a real-time resistance calculation value;

[0066] The variation pattern analysis module analyzes the real-time resistance calculation value, identifies the voltage fluctuation pattern by analyzing the voltage data, and predicts the voltage variation to generate the fluctuation pattern recognition result;

[0067] The dynamic voltage compensation module calculates and adjusts the voltage output based on the fluctuation pattern recognition results and the real-time resistance value of the cable, compensates and matches the cable voltage drop and voltage fluctuation, and generates the compensation voltage output parameters.

[0068] The charging protocol matching records include the protocol type selection records, expected charging time information, and battery life impact analysis results. The voltage and current data records include voltage peak record data, average voltage information in the stable phase, and current waveform diagrams. The voltage data calibration records include voltage value information before and after correction, temperature compensation coefficient, and calibration timestamp. The real-time resistance calculation values ​​include cable resistance values, resistance stability scores, and resistance trend analysis diagrams. The fluctuation pattern recognition results include the identified voltage fluctuation type, fluctuation duration, and fluctuation impact evaluation data on charging efficiency. The compensated voltage output parameters include voltage output value adjustment results, compensation efficiency evaluation data, and expected charging time reduction percentage.

[0069] See also Figure 2 and Figure 3 , the protocol intelligent matching module includes:

[0070] The vehicle information analysis submodule analyzes the charging requirements and characteristics of the target brand and model of electric vehicles based on the electric vehicle model information, and generates charging demand analysis data based on the remaining power and battery health status;

[0071] In the vehicle information analysis submodule, based on the electric vehicle model information, the electric vehicle data of the target brand and model are collected and organized, including battery technical specifications, historical charging behavior data and usage frequency. The charging demand is evaluated based on the remaining battery power and health status. The prediction model is used to analyze and evaluate the charging behavior and battery loss pattern of each model of electric vehicle under different usage conditions, and the charging demand analysis data is generated. The data points out the impact of charging demand and expected battery life of each model of vehicle under the target conditions, and the required charging facility improvement measures. The generated analysis data is used for charging strategy optimization and battery maintenance planning.

[0072] The protocol analysis and calculation submodule calculates and matches the charging rate based on the charging demand analysis data, considers the battery health status, analyzes the expected charging time, and generates matching charging protocol data;

[0073] In the above content, the protocol analysis and calculation submodule uses the charging demand analysis data and battery health status of the electric vehicle to calculate the battery health status according to the formula , calculate the matching charging rate;

[0074] In the formula, A represents the battery health index, B represents the demand response coefficient, C represents the charging rate, D represents the standard charging time, and E represents the battery capacity adjustment factor. The ideal charging rate and expected charging time under different battery states and charging requirements are calculated through the formula. The charging rate and time obtained by analysis affect the charging efficiency and the extension of battery life.

[0075] Detailed explanation of the formula and the process of formula calculation and derivation:

[0076] Assuming A=0.8, indicating good battery health, indicating high demand response, and D=60 minutes, indicating slight capacity degradation, calculate:

[0077] ,

[0078] The results showed that the ideal charging rate was 85.5 units per hour.

[0079] The charging protocol recording submodule records the charging protocol type, the estimated charging time, and the predicted impact on battery life based on the matching charging protocol data, and generates a charging protocol matching record;

[0080] In the charging protocol record submodule, based on the obtained matching charging protocol data, the charging protocol type of each charging activity is recorded, including the technical specifications of the protocol, charging rate and connection type, and the expected charging time and the impact of charging behavior on battery life are estimated, including all stages from data reception to processing. By comparing and analyzing the data records with the vehicle maintenance database and user personal preferences, the generated records help users and maintenance teams analyze the actual effect of the charging protocol and the battery health status, providing a basis for subsequent maintenance. The generated matching records show the implementation effect of the charging protocol and its impact on battery life.

[0081] See also Figure 2 and Figure 4 , the power data acquisition module includes:

[0082] The power real-time monitoring submodule monitors the charging voltage, current, and interface temperature data during the charging process in real time based on the charging protocol matching records, and generates real-time monitoring data;

[0083] In the power real-time monitoring submodule, the charging voltage, current and interface temperature during the charging process are monitored in real time based on the charging protocol matching records. The data is used to analyze the charging efficiency and safety. The voltage and current readings are collected through sensors, and the temperature at the interface is monitored at the same time to prevent safety problems caused by overheating. The collected data is preliminarily processed by analysis software, abnormal values ​​are screened for alarms, and normal data is transmitted to the central database for analysis and recording. The generated real-time monitoring data provides a view of the charging process to ensure the smooth progress of the charging process and the health of the battery.

[0084] The voltage data recording submodule analyzes the voltage value in the stable stage of the charging process based on real-time monitoring data, identifies and records the peak voltage at the beginning of charging, and generates voltage data analysis records;

[0085] In the voltage data recording submodule, based on real-time monitoring data, the voltage value in the stable stage of the charging process is analyzed to evaluate the safety and efficiency of the charging process. By comparing the voltage changes in different stages, the peak voltage at the start of charging is identified. The peak data is used to evaluate the battery's ability to accept charging. The recorded peak voltage data and voltage information are used to analyze the battery's health status and the performance of the charging equipment. The generated voltage data analysis record provides a detailed record of the voltage during the charging process, providing data support for equipment maintenance and fault prevention.

[0086] The data sorting submodule analyzes and records the voltage data, sorts the power data according to the time information, draws the charging voltage and current curves, and generates voltage and current data records;

[0087] In the above content, the data sorting submodule uses the time information in the voltage data analysis record to sort according to the formula Sequence and plot charging voltage and current;

[0088] In the formula, represents the charging voltage at time t, Represents the corresponding charging current, and It is a coefficient adjusted according to the relationship between voltage and current. The voltage and current relationship diagram during the charging process is generated through a formula to provide graphical data for analyzing charging efficiency and battery performance.

[0089] Detailed explanation of the formula and the process of formula calculation and derivation:

[0090] Assuming the target time point, =5, current = 10 amperes, calculate:

[0091] ,

[0092] The calculation results are used to monitor voltage fluctuations and their impact on charging performance.

[0093] See also Figure 2 and Figure 5 , the temperature impact analysis module includes:

[0094] The data correlation evaluation submodule receives the voltage and current data records, synchronizes the interface temperature data collected by the temperature sensor, and performs correlation analysis on the voltage and temperature data to generate temperature correlation analysis results;

[0095] In the real-time power monitoring submodule, the voltage, current and interface temperature during the charging process are monitored based on the charging protocol matching records. Sensors are used to collect voltage and current data in real time. At the same time, the temperature of the interface is monitored to prevent problems caused by overheating. Preliminary analysis of real-time data is performed to identify abnormal fluctuations or potential risks, ensure accurate data transmission and processing, and use real-time monitoring data to evaluate charging efficiency and equipment safety. The collected information is analyzed through the data analysis module to output real-time monitoring results. The results provide a scientific basis for the operation and maintenance of charging stations and the adjustment of charging strategies, and improve the management and monitoring efficiency of the charging process.

[0096] The temperature compensation submodule analyzes and calculates the influence of temperature on voltage measurement based on the temperature correlation analysis results, calculates the compensation parameters required for the voltage measurement value, and generates compensation parameter analysis data;

[0097] The specific formula for calculating the compensation parameters required for voltage measurement values ​​is:

[0098] ,

[0099] in, represents the calculated compensation parameter, T represents the interface temperature collected by the temperature sensor, It represents the baseline compensation parameter when there is no temperature change, providing the initial adjustment of the voltage measurement. Indicates the direct linear effect of temperature change on the compensation parameter, allowing the compensation parameter to be adjusted with a linear increase in temperature, It represents the secondary impact of temperature change and is used to capture the strengthening or weakening effect of temperature change on compensation, ensuring the accuracy of compensation parameters when the temperature changes extremely. It predicts and compensates the voltage measurement error caused by temperature change through the formula to ensure the accuracy and stability of voltage measurement during electric vehicle charging.

[0100] Detailed explanation of the formula and the process of formula calculation and derivation:

[0101] The formula is used to calculate the compensation parameters for the voltage measurement error caused by temperature changes, adjust the measured voltage value, and compensate for the voltage reading error caused by temperature fluctuations;

[0102] Parameter meaning and setting value:

[0103] is the basic voltage compensation parameter under temperature change, assumed to be 0.5;

[0104] is the primary compensation coefficient for temperature, assumed to be 0.05, reflecting the amount by which the voltage reading should be adjusted for every 1°C increase, indicating a direct linear relationship between temperature and voltage reading;

[0105] is the quadratic compensation coefficient of temperature, assumed to be 0.01, which is used to deal with the nonlinear part of the influence of temperature change on voltage compensation.

[0106] Assume that in the target measurement, the interface temperature T is 30°C;

[0107] Substitute the values ​​into the formula to calculate:

[0108] ,

[0109] ,

[0110] ,

[0111] ,

[0112] The results show that at 30°C, in order to accurately compensate for the voltage reading error, the original voltage value needs to be adjusted by 11 units. The adjustment value is used to ensure the stability and reliability of the reading in the voltage measurement.

[0113] The calibration parameter recording submodule adjusts the output voltage value based on the compensation parameter analysis data, and records the adjusted voltage value and compensation parameter to generate a voltage data calibration record;

[0114] In the voltage data recording submodule, based on real-time monitoring data, the voltage in the stable stage of the charging process is analyzed, the voltage peak and fluctuation are monitored in real time to ensure the stability of the voltage during the charging process, the voltage peak is identified through the algorithm, the battery's charging acceptance capacity is evaluated, the battery health status is monitored and the charging strategy is optimized, the voltage changes during the charging process are recorded, and data support is provided for voltage adjustment and maintenance work, ensuring the long-term stable operation of the charging equipment and protecting the safety and convenience of electric vehicle users.

[0115] See also Figure 2 and Figure 6 , the cable resistance estimation module includes:

[0116] The current data denoising submodule uses the voltage data calibration record to denoise the real-time collected current data to eliminate sensor errors and external interference, and generate current data processing results;

[0117] In the current data denoising submodule, based on the voltage data calibration record, the current data collected by the sensor is received, and the data includes interference caused by environmental noise or sensor error. The digital filtering technology is applied to process the current data, and a low-pass filter is used to remove high-frequency noise. The current reading is corrected using the voltage value in the calibration record to ensure the accuracy of the data. Combined with statistical analysis of the data, including calculating the mean and standard deviation of the data, identifying and excluding outliers, the quality and reliability of the current data are ensured, and the overall performance of the charging system is improved. The generated current data processing results include the current value after denoising and calibration, which provides basic data for subsequent power analysis and charging control.

[0118] The resistance calculation submodule calculates the real-time resistance of the charging cable based on the current data processing results and combines the real-time voltage data to generate the real-time cable resistance value;

[0119] In the above content, the resistance calculation submodule calculates the current data processing results and real-time voltage data according to the formula , calculate the real-time resistance of the charging cable;

[0120] In the formula, R represents the resistance value, V represents the real-time voltage, Represents real-time current. The formula helps ensure that the resistance of the charging device is within a safe range and monitors the health of the cable to generate real-time cable resistance;

[0121] Detailed explanation of the formula and the process of formula calculation and derivation:

[0122] Assume that the real-time voltage V = 240 volts and the real-time current Amperes, calculate resistance:

[0123] ,

[0124] The calculation results provide a real-time assessment of the health and performance of the charging cable, providing a basis for cable repair and replacement.

[0125] The cable performance evaluation submodule evaluates the performance and health status of the cable during charging based on the real-time cable resistance value and generates a real-time resistance calculation value;

[0126] In the cable performance evaluation submodule, the performance and health status of the cable during the charging process are evaluated based on the real-time cable resistance. Cable loss or damage is identified through continuous monitoring of the real-time resistance value. Abnormal increase in resistance value is analyzed to predict the degradation of the cable insulation performance. The thermal performance of the cable is evaluated to ensure that the cable temperature remains within a safe range during the charging process. Charging safety and efficiency are guaranteed through real-time data analysis. The generated real-time resistance calculation value provides a scientific basis for equipment maintenance and operation decisions, identifying problems in advance and performing necessary maintenance or replacement.

[0127] See also Figure 2 and Figure 7 , the change pattern analysis module includes:

[0128] The voltage data analysis submodule is based on the real-time resistance calculation value. By analyzing the time series data of the voltage, the average value and peak-to-valley value of the voltage data are calculated, the abnormal fluctuation and stable phase characteristics of the voltage are identified, and the voltage fluctuation analysis results are generated.

[0129] In the above content, the voltage data analysis submodule analyzes the voltage time series data according to the real-time resistance calculation value, according to the formula and , calculate the average value and peak-to-valley value of voltage data;

[0130] In the formula, represents the average voltage, represents the peak-to-valley difference, represents the voltage value at the i-th moment, n represents the number of samples, and the formula is used to identify the abnormal fluctuation and stable phase characteristics of the voltage and generate the voltage fluctuation analysis results;

[0131] Detailed explanation of the formula and the process of formula calculation and derivation:

[0132] Assume a set of voltage time series data , calculate the average voltage:

[0133] ,

[0134] Calculate the peak-to-valley difference: ,

[0135] Realize quantitative analysis of voltage fluctuations, optimize monitoring and maintain the stability of the power system.

[0136] The fluctuation pattern recognition submodule identifies the periodic fluctuations in the voltage time series based on the voltage fluctuation analysis results, analyzes the fluctuation pattern of the voltage data, and generates fluctuation pattern records;

[0137] In the fluctuation pattern identification submodule, based on the voltage fluctuation analysis results, the key features in the voltage time series are identified, including periodic fluctuations and sudden peaks. Through time series analysis, the key frequency and amplitude of voltage fluctuations are determined. The periodicity of voltage fluctuations is analyzed by Fourier transform, and the voltage data is converted into the frequency domain for processing. The key frequency components are identified, and the autocorrelation and persistence of voltage fluctuations are estimated through the autoregressive model. The voltage fluctuation pattern is identified and recorded to provide data support for subsequent predictions and adjustments. The generated fluctuation pattern record lists the characteristics and causes of each major fluctuation pattern, providing a key basis for voltage stability control and risk management.

[0138] The fluctuation prediction submodule predicts the voltage change trend based on the fluctuation pattern record and combines the real-time voltage data to generate the fluctuation pattern recognition result;

[0139] In the fluctuation prediction submodule, based on the fluctuation pattern records and combined with real-time voltage data, the statistical prediction model moving average and exponential smoothing method are used to predict the future voltage change trend. Through the analysis of historical voltage data, the parameters of the prediction model are determined, including the smoothing coefficient and trend adjustment factor. By predicting the voltage fluctuations and extreme points in the short term, a rapid response is made to voltage anomalies to avoid equipment damage or operation interruptions caused by voltage fluctuations. The generated fluctuation pattern recognition results illustrate the trend and accuracy of the predicted voltage changes, providing a scientific basis for the stable operation of the system.

[0140] See also Figure 2 and Figure 8 , the dynamic voltage compensation module includes:

[0141] The compensation amount calculation submodule analyzes the voltage compensation amount required for the power supply output according to the fluctuation pattern recognition result, calculates the adjustment range and speed, and generates the compensation demand analysis result;

[0142] In the compensation amount calculation submodule, based on the fluctuation pattern recognition results, voltage fluctuation data, including instantaneous voltage peaks and troughs, are obtained from the power supply system. By analyzing the power data, the main modes of voltage fluctuations, including periodic fluctuations or random fluctuations, are identified. The voltage fluctuation magnitude outside the normal operating range is determined by calculating the mean and standard deviation of the voltage fluctuations. The required voltage compensation amount is determined based on the voltage sensitivity threshold of the equipment, taking into account the sensitivity of different devices to voltage stability. The amplitude and speed of the compensation adjustment are calculated based on the analysis results and predetermined performance indicators to ensure that the voltage output by the power supply is quickly and accurately adjusted to the ideal state to prevent damage to sensitive equipment. The generated compensation demand analysis results provide the control system with specific parameters and guidance for performing compensation.

[0143] The adjustment value calculation submodule calculates the voltage compensation parameters based on the compensation demand analysis results, adjusts the voltage value and the adjustment rate, and generates the compensation parameter calculation results;

[0144] In the adjustment value calculation submodule, the voltage value that needs to be adjusted is determined based on the compensation demand analysis results. The value is obtained by analyzing the voltage fluctuation analysis results, including extracting the average deviation of the voltage from the fluctuation pattern and applying it to the formula for actual compensation value calculation. The adjustment rate is set based on the system's response time and the stability requirements of the power grid. The adjustment process uses a proportional-integral-differential control strategy to ensure that the voltage adjustment is fast and accurate. The adjusted voltage value and adjustment rate are recorded in the system's control log to provide reference and basis for subsequent operations and generate compensation parameter calculation results.

[0145] The adjustment execution submodule adjusts the voltage output to compensate for the cable voltage drop based on the compensation parameter calculation results, optimizes the voltage stability and charging efficiency, and generates the compensation voltage output parameters;

[0146] In the adjustment execution submodule, based on the calculation results of the compensation parameters, the voltage output is adjusted to compensate for the voltage loss caused by the cable voltage drop, including measuring the actual voltage loss of the cable under the current load, calculating the voltage difference to be compensated, and applying the compensation parameters to adjust the output voltage. By real-time monitoring of voltage and current data, the compensation value is dynamically adjusted to ensure the stability of the voltage during the charging process. The generated compensation voltage output parameters record the parameters and implementation status of each adjustment to ensure the maximization of charging efficiency and the stable operation of the power system, providing a data basis for system maintenance and upgrades.

[0147] See also Fig. 9 , an automatic compensation method for voltage drop of an electric vehicle charging cable, the automatic compensation method for voltage drop of an electric vehicle charging cable is executed based on the above-mentioned automatic compensation system for voltage drop of an electric vehicle charging cable, and comprises the following steps:

[0148] S1: Based on the electric vehicle model information, according to the remaining power of the electric vehicle, considering the charging rate, battery health maintenance and expected charging time, analyze the charging characteristics, match the charging protocol, and generate the protocol analysis results;

[0149] S2: Based on the protocol analysis results, the voltage, current, and interface temperature data of the electric vehicle charging process are monitored in real time, the starting peak voltage and the stable phase voltage are recorded, and real-time power monitoring records are generated;

[0150] S3: Based on the real-time power monitoring record, the interface temperature measured by the temperature sensor is used to calculate the effect of temperature on voltage measurement, adjust the voltage reading, and generate a temperature-adjusted voltage record;

[0151] S4: using the temperature-adjusted voltage record, calculating the resistance of the electric vehicle charging cable according to the real-time current data, and generating a resistance value calculation result;

[0152] S5: Based on the resistance value calculation result, by analyzing the voltage change, identifying the voltage fluctuation mode, adjusting the voltage output in combination with the resistance value, compensating for the cable voltage drop and voltage fluctuation, and generating the compensation voltage output parameter.

[0153] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. The electric vehicle charging cable voltage drop automatic compensation system is characterized by: The system comprises: The protocol intelligent matching module matches the charging protocol and generates a charging protocol matching record based on the electric vehicle model information, the remaining power of the electric vehicle, the charging rate, battery health maintenance and expected charging time; The power data acquisition module matches the records according to the charging protocol, monitors and records the voltage, current, and interface temperature values ​​in real time, including the peak voltage at the start of charging and the voltage at the stable stage, and sorts the data according to the time information to generate voltage and current data records; The temperature impact analysis module obtains the voltage and current data records, combines the interface temperature data collected by the temperature sensor, calculates the impact of temperature changes on voltage numerical measurement and compensation parameters, and adjusts the voltage measurement data to generate a voltage data calibration record; The temperature impact analysis module includes: The data association evaluation submodule receives the voltage and current data records, synchronizes the interface temperature data collected by the temperature sensor, and performs association analysis on the voltage and temperature data to generate 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 the compensation parameters required for the voltage measurement value, and generates compensation parameter analysis data; The calibration parameter recording submodule adjusts the value of the output voltage based on the compensation parameter analysis data, and records the adjusted voltage value and compensation parameter to generate a voltage data calibration record; The specific formula for calculating the compensation parameters required for the voltage measurement value is: ， in, represents the calculated compensation parameter, T represents the interface temperature collected by the temperature sensor, It represents the baseline compensation parameter when there is no temperature change, providing the initial adjustment of the voltage measurement. Indicates the direct linear effect of temperature change on the compensation parameter, allowing the compensation parameter to be adjusted with a linear increase in temperature, Represents the secondary impact of temperature change, used to capture the strengthening or weakening effect of temperature change on compensation, ensure the accuracy of compensation parameters when the temperature changes extremely, predict and compensate the voltage measurement error caused by temperature change through formula, and ensure the accuracy and stability of voltage measurement during electric vehicle charging; The cable resistance estimation module uses the voltage data calibration record to calculate the real-time resistance of the charging cable by denoising the real-time current data, evaluates the performance and health status of the cable during the charging process, and generates a real-time resistance calculation value; The variation mode analysis module analyzes the real-time resistance calculation value, identifies the voltage fluctuation mode by analyzing the voltage data, and predicts the voltage variation, thereby generating a fluctuation mode recognition result; The dynamic voltage compensation module calculates and adjusts the voltage output based on the fluctuation pattern recognition result and the real-time resistance value of the cable, compensates and matches the cable voltage drop and voltage fluctuation, and generates compensation voltage output parameters.

2. The electric vehicle charging cable voltage drop automatic compensation system according to claim 1, characterized in that: The charging protocol matching record includes a protocol type selection record, expected charging time information, and battery life impact analysis results; the voltage and current data record includes voltage peak record data, average voltage information in the stable phase, and a current waveform diagram; the voltage data calibration record includes voltage value information before and after correction, a temperature compensation coefficient, and a calibration timestamp; the real-time resistance calculation value includes a cable resistance value, a resistance stability score, and a resistance trend analysis diagram; the fluctuation pattern recognition result includes the identified voltage fluctuation type, fluctuation duration, and fluctuation impact evaluation data on charging efficiency; the compensated voltage output parameters include voltage output value adjustment results, compensation efficiency evaluation data, and expected charging time reduction percentage.

3. The electric vehicle charging cable voltage drop automatic compensation system according to claim 1, characterized in that: The protocol intelligent matching module includes: The vehicle information analysis submodule analyzes the charging requirements and characteristics of the target brand and model of electric vehicles based on the electric vehicle model information, and generates charging demand analysis data based on the remaining power and battery health status; The protocol analysis and calculation submodule calculates and matches the charging rate based on the charging demand analysis data, considers the battery health status, analyzes the expected charging time, and generates matching charging protocol data; The charging protocol recording submodule records the charging protocol type, the expected charging time and the predicted impact on the battery life based on the matching charging protocol data, and generates a charging protocol matching record.

4. The electric vehicle charging cable voltage drop automatic compensation system according to claim 1, characterized in that: The power data acquisition module comprises: The power real-time monitoring submodule monitors the charging voltage, current, and interface temperature data during 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 in the stable stage of the charging process based on the real-time monitoring data, identifies and records the peak voltage at the start of charging, and generates a voltage data analysis record; The data sorting submodule analyzes and records the voltage data, sorts the power data according to time information, draws charging voltage and current curves, and generates voltage and current data records.

5. The electric vehicle charging cable voltage drop automatic compensation system according to claim 1, characterized in that: The cable resistance estimation module comprises: The current data denoising submodule uses the voltage data calibration record to denoise the real-time collected current data 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 the real-time voltage data to generate a real-time cable resistance value; The cable performance evaluation submodule evaluates the performance and health status of the cable during the charging process based on the real-time cable resistance value and generates a real-time resistance calculation value.

6. The electric vehicle charging cable voltage drop automatic compensation system according to claim 1, characterized in that: The change pattern analysis module includes: The voltage data analysis submodule calculates the average value and peak-to-valley value of the voltage data based on the real-time resistance calculation value, identifies the abnormal fluctuation and stable stage characteristics of the voltage, and generates a voltage fluctuation analysis result by analyzing the time series data of the voltage; The fluctuation pattern recognition submodule recognizes the periodic fluctuation in the voltage time series based on the voltage fluctuation analysis result, analyzes the fluctuation pattern of the voltage data, and generates a fluctuation pattern record; The fluctuation prediction submodule predicts the voltage variation trend based on the fluctuation pattern record and combines the real-time voltage data to generate a fluctuation pattern recognition result.

7. The electric vehicle charging cable voltage drop automatic compensation system according to claim 1, characterized in that: The dynamic voltage compensation module comprises: The compensation amount calculation submodule analyzes the voltage compensation amount required for the power supply output according to the fluctuation mode recognition result, calculates the adjustment range and speed, and generates a compensation demand analysis result; The adjustment value calculation submodule calculates the voltage compensation parameter based on the compensation demand analysis result, adjusts the voltage value and the adjustment rate, and generates the compensation parameter calculation result; The adjustment execution submodule adjusts the voltage output to compensate for the cable voltage drop based on the compensation parameter calculation result, optimizes the voltage stability and charging efficiency, and generates the compensation voltage output parameters.

8. Automatic compensation method for voltage drop of electric vehicle charging cable, characterized in that: The electric vehicle charging cable voltage drop automatic compensation system according to any one of claims 1 to 7 comprises the following steps: Based on the electric vehicle model information, according to the remaining power of the electric vehicle, considering the charging rate, battery health maintenance and expected charging time, analyze the charging characteristics, match the charging protocol, and generate the protocol analysis results; Based on the protocol analysis results, the voltage, current, and interface temperature data of the electric vehicle during charging are monitored in real time, the starting peak voltage and the stable phase voltage are recorded, and a real-time power monitoring record is generated; According to the real-time power monitoring record, the interface temperature is measured by the temperature sensor, the influence of the temperature on the voltage measurement is calculated, the voltage reading is adjusted, and the temperature-adjusted voltage record is generated; Using the temperature-adjusted voltage record, according to the real-time current data, the resistance of the electric vehicle charging cable is calculated to generate a resistance value calculation result; Based on the resistance value calculation result, by analyzing the voltage change, identifying the voltage fluctuation mode, adjusting the voltage output in combination with the resistance value, compensating for the cable voltage drop and voltage fluctuation, and generating the compensation voltage output parameter.

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