New energy vehicle charging equipment testing method and system

Abstract

This invention discloses a testing method and system for new energy vehicle charging equipment, relating to the field of new energy vehicle charging technology. The method includes controlling the charging equipment under test to charge a simulated battery device according to preset charging parameters, while simultaneously monitoring and recording the charging efficiency of the charging equipment under test in real time using a data acquisition device; at a predetermined State of Charge (SOC) point, using a programmable load device to simulate various load conditions to test the dynamic response characteristics of the charging equipment under test; calculating charging performance indicators based on charging efficiency and dynamic response characteristics; and generating a multi-dimensional test report based on the charging performance indicators. This invention improves the ability to capture the instantaneous response characteristics of charging equipment and enhances the practicality of the test by introducing dynamic sampling frequency adjustment and multi-SOC point dynamic load testing.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy vehicle charging, and in particular to a new energy vehicle charging equipment testing method and system. Background Art

[0002] With the rapid development of new energy vehicles, charging equipment, as a core supporting facility, has a direct impact on the charging efficiency and user experience of new energy vehicles. However, most of the existing charging equipment testing methods only focus on basic parameters such as charging voltage and current, and lack a comprehensive evaluation of key performance such as charging efficiency fluctuations and dynamic response capabilities. In addition, many existing testing methods cannot simulate the complex working conditions of charging equipment in real usage scenarios, such as charging performance under different states of charge (SOC) and dynamic response characteristics under extreme load conditions. Therefore, existing testing methods are not sufficient to ensure the stability and efficiency of charging equipment in actual applications.

[0003] In addition, traditional charging equipment testing systems usually lack comprehensive analysis of multi-dimensional parameters, and have limited data collection and processing capabilities, making it impossible to achieve a refined evaluation of charging equipment performance. Since the charging process involves changes in multiple physical parameters (such as voltage, current, temperature, etc.), the change rate and mutual influence of each parameter in the actual charging process are relatively complex, and the existing testing system cannot provide a comprehensive performance analysis, resulting in charging equipment overheating, low efficiency or slow response in actual use. Summary of the invention

[0004] In view of the fact that the existing testing methods for new energy vehicle charging equipment are not comprehensive and accurate enough in evaluating key performances such as charging efficiency and dynamic response, the present invention is proposed.

[0005] Therefore, the purpose of the present invention is to improve the testing method of charging equipment by optimizing the testing process and system architecture, focusing on detailed testing and evaluation of key indicators such as charging efficiency and dynamic response characteristics, thereby improving the accuracy and representativeness of the test.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In the first aspect, an embodiment of the present invention provides a new energy vehicle charging equipment testing method, which includes connecting the charging equipment to be tested to a simulated battery device, and connecting the charging equipment to be tested to a power supply, and connecting a data acquisition device to the charging equipment to be tested and the simulated battery device; controlling the charging equipment to be tested to charge the simulated battery device according to preset charging parameters, and monitoring and recording the charging efficiency of the charging equipment to be tested in real time through the data acquisition device; at a predetermined SOC point, using a programmable load device to simulate various load conditions to test the dynamic response characteristics of the charging equipment to be tested; calculating charging performance indicators based on the charging efficiency and dynamic response characteristics; and generating a multi-dimensional test report based on the charging performance indicators.

[0008] As a preferred solution of the new energy vehicle charging equipment testing method described in the present invention, wherein: connecting the data acquisition device with the charging device to be tested and the simulated battery device includes: selecting the simulated battery device; electrically connecting the output end of the charging device to be tested with the input end of the simulated battery device through a quick connector; electrically connecting the power simulator with the input end of the charging device to be tested; electrically connecting the voltage acquisition port of the data acquisition device with the input and output ends of the charging device to be tested; connecting the current acquisition port of the data acquisition device in series between the output end of the charging device to be tested and the simulated battery device; installing a temperature sensor at a predetermined position of the charging device to be tested, and electrically connecting the temperature sensor with the temperature acquisition port of the data acquisition device; connecting the programmable load device in parallel with the simulated battery device, and electrically connecting them; connecting the data acquisition device, the programmable load device and the control computer through a communication interface; and performing test preparation and safety checks.

[0009] As a preferred solution of the new energy vehicle charging equipment testing method described in the present invention, wherein: installing a temperature sensor at a predetermined position of the charging equipment to be tested includes: using an infrared thermal imager to perform thermal imaging analysis on the charging equipment to be tested to obtain a hot spot distribution map on the surface of the charging equipment to be tested; based on the hot spot distribution map, selecting N positions as installation points of the temperature sensor; using thermal conductive materials at the installation points; fixing the temperature sensor at the installation point and performing preliminary testing; and calibrating the fixed temperature sensor.

[0010] As a preferred embodiment of the new energy vehicle charging equipment testing method described in the present invention, wherein: controlling the charging equipment to be tested to charge the simulated battery device according to preset charging parameters includes: sending a charging instruction to the charging equipment to be tested to set the charging parameters through a control computer; the charging parameters include charging voltage, charging current and charging time; starting the charging equipment to be tested to charge the simulated battery device according to the charging parameters; a data acquisition device collects a first parameter set at a preset sampling frequency F1; the control computer calculates the charging efficiency of the charging equipment to be tested according to the first parameter set at every preset time interval T; the control computer stores the first parameter set and the charging efficiency in a test database; and repeatedly executing the charging, acquisition and storage processes until the SOC of the simulated battery device reaches a preset value.

[0011] As a preferred embodiment of the new energy vehicle charging equipment testing method described in the present invention, testing the dynamic response characteristics of the charging equipment to be tested includes: the control computer selects a predetermined SOC point for dynamic load testing, and selects multiple sets of load condition parameters from a preset load condition parameter library; the control computer transmits the selected load condition parameters to a programmable load device; the programmable load device adjusts its load characteristics according to the received load condition parameters, and applies a dynamic load to the simulated battery device; during the dynamic load application process, the data acquisition device collects a second parameter set at a preset sampling frequency F2; the control computer calculates the dynamic response characteristics of the charging equipment to be tested based on the second parameter set, compares the calculated dynamic response characteristics with the preset threshold conditions, and records all test results; the control computer stores the second parameter set, the dynamic response characteristics and the test results in a test database.

[0012] As a preferred solution of the new energy vehicle charging equipment testing method described in the present invention, the second parameter set is used to evaluate the dynamic response characteristics, including the output voltage value, the charging current value, the load voltage value, and the load current value; the first parameter set is used to evaluate the conventional charging process, including the input voltage value, the output voltage value, the input current value, the output current value, the temperature value, and the charging time.

[0013] As a preferred embodiment of the new energy vehicle charging equipment testing method described in the present invention, the calculation of the charging performance index includes: extracting the charging efficiency data and dynamic response characteristic data from the test database; calculating the charging efficiency fluctuation index, the charging speed index and the dynamic response capability index; establishing a three-dimensional performance evaluation space, with the charging efficiency fluctuation index as the X-axis, the charging speed index as the Y-axis, and the dynamic response capability index as the Z-axis; locating the performance point of the charging equipment to be tested in the three-dimensional performance evaluation space, calculating the Euclidean distance between the performance point and the preset ideal performance point, and obtaining a comprehensive performance distance index; using a preset nonlinear mapping function to convert the comprehensive performance distance index into a charging performance score; integrating the charging efficiency fluctuation index, the charging speed index, the dynamic response capability index, the comprehensive performance distance index and the charging performance score to generate a charging performance index set.

[0014] In the second aspect, an embodiment of the present invention provides a new energy vehicle charging equipment testing system, which includes a connection module, which is used to connect the charging equipment to be tested with a simulated battery device, and connect the charging equipment to be tested to a power supply, and at the same time connect a data acquisition device to the charging equipment to be tested and the simulated battery device; a charging module, which is used to control the charging equipment to be tested to charge the simulated battery device according to preset charging parameters, and at the same time monitor and record the charging efficiency of the charging equipment to be tested in real time through the data acquisition device; a simulation module, which is used to simulate various load conditions at a predetermined SOC point using a programmable load device to test the dynamic response characteristics of the charging equipment to be tested; a calculation module, which is used to calculate the charging performance index according to the charging efficiency and dynamic response characteristics; a report generation module, which is used to generate a multi-dimensional test report based on the charging performance index.

[0015] The beneficial effects of the present invention are as follows: the present invention improves the ability to capture the transient response characteristics of the charging equipment and the practicality of the test by introducing dynamic sampling frequency adjustment and multi-SOC point dynamic load testing. The innovative use of three-dimensional performance evaluation space and nonlinear mapping function realizes the comprehensive quantitative evaluation of charging efficiency fluctuations, charging speed and dynamic response capabilities, overcoming the limitations of single indicator evaluation. The generation of multi-dimensional test reports provides strong support for the intuitive analysis and optimization of charging equipment performance, and improves the comprehensiveness and accuracy of new energy vehicle charging equipment testing. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A flow chart of the method for testing the charging equipment of new energy vehicles.

[0018] Figure 2 This is the device connection diagram for the new energy vehicle charging equipment testing method.

[0019] Figure 3 The charging efficiency monitoring process of the new energy vehicle charging equipment testing method. DETAILED DESCRIPTION

[0020] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0021] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0022] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0023] Example 1, reference Figure 1~Figure 3 , which is the first embodiment of the present invention, and this embodiment provides a new energy vehicle charging equipment testing method, the method flow chart is as follows Figure 1 As shown, including

[0024] S1: Connect the charging device to be tested to the simulated battery device, and connect the charging device to be tested to a power source, and at the same time connect the data acquisition device to the charging device to be tested and the simulated battery device.

[0025] Specifically, the device connection diagram is as follows Figure 2 As shown, the following steps are included:

[0026] S1.1: Select a simulated battery device and place the simulated battery device in a constant temperature box.

[0027] The simulated battery device has a preset voltage range and capacity. The thermostat is provided with a plurality of sealed threading holes for passing connecting cables, which are used to connect the simulated battery device to external devices. The thermostat is also provided with a temperature homogenizing device to ensure uniform temperature distribution in the thermostat to avoid local temperature differences affecting the test results.

[0028] S1.2: Electrically connect the output terminal of the charging device to be tested to the input terminal of the simulated battery device through a quick connector.

[0029] S1.3: Electrically connect the power simulator to the input terminal of the charging device to be tested.

[0030] It should be noted that the power simulator has a voltage regulation function for simulating different input power conditions.

[0031] S1.4: Electrically connect the voltage acquisition port of the data acquisition device to the input and output terminals of the charging device to be tested.

[0032] S1.5: Connect the current acquisition port of the data acquisition device in series between the output terminal of the charging device to be tested and the simulated battery device.

[0033] Among them, the data acquisition device is used to monitor the voltage and current parameters simultaneously to ensure real-time monitoring of the input and output characteristics of the charging device to be tested.

[0034] S1.6: Install a temperature sensor at a predetermined position of the charging device to be tested, and electrically connect the temperature sensor to a temperature acquisition port of the data acquisition device.

[0035] To ensure that the temperature sensor can accurately obtain the temperature data on the surface of the charging device to be tested, it is first necessary to use an infrared thermal imager to perform thermal imaging analysis on the charging device to be tested to obtain a hot spot distribution map on the surface of the charging device to be tested; based on the hot spot distribution map, select N representative locations as installation points for the temperature sensor; to ensure the measurement accuracy of the sensor, use thermal conductive materials at the installation point to ensure effective thermal contact between the temperature sensor and the surface of the charging device to be tested; fix the temperature sensor at the installation point, and perform preliminary tests to verify the contact state between the temperature sensor and the surface of the device to ensure its stability; calibrate the fixed temperature sensor to ensure its temperature measurement accuracy under different power conditions.

[0036] In addition, before the formal test, sufficient cooling time should be reserved (recommended to be no less than 30 minutes) to ensure that the device returns to the initial temperature state. Given that the number and location of temperature sensors may affect the accuracy of the test results, the configuration of the sensors should be appropriately adjusted according to the specific conditions of the charging device to be tested.

[0037] It should also be noted that the hotspot distribution map will show the temperature differences at different locations on the device surface, helping to identify which areas have higher temperatures (hot spots) or lower temperatures (cold spots). Representative locations usually include the point with the highest temperature (this location is usually where the power components or components that generate more heat are located, representing the hotspot area of ​​the device when working at high power), the point with the second highest temperature (in order to fully understand the temperature gradient of the device, select the area with a higher temperature but not the highest temperature, usually the area around the hotspot), and the point with a lower temperature (usually the device casing or a location with better heat dissipation is selected to ensure that the temperature comparison on the device surface can be monitored).

[0038] Optionally, the specific value of N (such as 2 or 3) can be determined according to the complexity of the device and the distribution of the heating area. For simple devices, 2 locations (such as one hot spot and one cold spot) may be selected; for more complex devices, 3 locations (such as two hot spots and one cold spot) or more may be required.

[0039] S1.7: Connect the programmable load device and the simulated battery device in parallel and make electrical connections.

[0040] It should be noted that the programmable load device has adjustable load parameters for simulating dynamic load changes and extreme power usage during the charging process.

[0041] In this step, the load parameters of the programmable load device should be set according to the rated power of the charging device. Normally, the load current range is set to 10%~120% of the rated current of the device, and the load step value should be controlled within 0.1A to ensure the accuracy of load changes during the test. The load switching time interval should be set according to the response time of the device. It is generally recommended to set the time interval to 0.5 seconds~1 second to ensure that the device can fully respond to load changes.

[0042] In extreme load testing, the load current should be gradually increased to simulate the extreme operating conditions of the equipment, and an automatic protection mechanism should be set for overload conditions. When the load current exceeds 120% of the maximum rated current of the equipment, the test will be automatically stopped to protect the equipment from damage.

[0043] S1.8: Connect the data acquisition device, the programmable load device and the control computer through the communication interface.

[0044] It should be noted that the control computer is used to coordinate the entire test process, including parameter setting, data acquisition and result analysis.

[0045] S1.9: Perform test preparation and safety checks.

[0046] It should be noted that test preparation includes setting and recording test environment parameters (such as ambient temperature, humidity, atmospheric pressure, and electromagnetic environment), calibrating and preheating all test equipment. Safety checks include verifying the correctness of electrical connections, insulation conditions, grounding conditions, and the functionality of emergency stop devices. These preparations are essential to ensure the accuracy, reliability, and safety of the test.

[0047] S2: Control the charging device under test to charge the simulated battery device according to preset charging parameters, and monitor and record the charging efficiency of the charging device under test in real time through the data acquisition device.

[0048] Specifically, the charging efficiency monitoring process is as follows: Figure 3 As shown, the following steps are included:

[0049] S2.1: Send charging instructions to the charging device under test through the control computer to set charging parameters.

[0050] Among them, the charging parameters include charging voltage, charging current and charging time.

[0051] S2.2: Start the charging device to be tested and charge the simulated battery device according to the charging parameters.

[0052] It should be noted that before charging begins, you should confirm that all equipment is in normal working condition and record the charging start time.

[0053] S2.3: The data acquisition device acquires the first parameter set at a preset sampling frequency F1.

[0054] It should be noted that the first parameter set is mainly used to evaluate the normal charging process, including but not limited to input voltage value, output voltage value, input current value, output current value, temperature value (readings of N temperature sensors), charging time, state of charge (SOC) of the battery simulation device, etc.

[0055] Moreover, the setting of sampling frequency F1 is adjusted according to the working state of the charging equipment and the test requirements. Generally, the current and voltage change rates of the equipment are different in different charging stages, so the sampling frequency should be set dynamically. For example, in the fast charging stage, the current and voltage change rapidly, and the sampling frequency should be set to a higher value (such as 50Hz to 100Hz); at the end of charging, the current and voltage tend to be stable, and the sampling frequency can be reduced to 1Hz to 10Hz. Through this dynamic adjustment, the accuracy of data collection can be ensured and data redundancy can be avoided.

[0056] S2.4: The control computer calculates the charging efficiency of the charging device to be tested according to the first parameter set at every preset time interval T.

[0057] Preferably, the direct calculation of charging efficiency mainly depends on the two parameters of input power and output power (input voltage value, output voltage value, input current value, output voltage value), while other parameters (such as temperature value, SOC, charging time, etc.) are not directly involved in the calculation, but they serve as auxiliary monitoring parameters to help more comprehensively understand the charging process and its efficiency changes.

[0058] S2.5: The control computer stores the first parameter set and the charging efficiency in a test database.

[0059] It should be noted that the test database has data backup and security protection functions.

[0060] S2.6: Repeat steps S2.3 to S2.5 until the SOC of the simulated battery device reaches a preset value.

[0061] It should be noted that after completing a full charging cycle, steps S2.1 to S2.6 are repeated a total of M times (eg, 3 times) to ensure the repeatability of the test results.

[0062] Preferably, by real-time monitoring and dynamically adjusting the sampling frequency, the charging efficiency of the charging device to be tested can be accurately evaluated, and the accuracy and completeness of data collection can be ensured by monitoring the current and voltage changes at different charging stages (such as fast charging and the end of charging). By adjusting the sampling frequency, the system can capture instantaneous changes in the charging process at critical moments, avoiding data redundancy while ensuring measurement accuracy. In addition, the calculation of charging efficiency not only depends on input and output power, but also combines auxiliary monitoring parameters (such as temperature and SOC), thereby achieving a comprehensive and refined evaluation of charging efficiency.

[0063] S3: At a predetermined SOC point, a programmable load device is used to simulate various load conditions to test the dynamic response characteristics of the charging device under test.

[0064] Specifically, the following steps are included:

[0065] S3.1: The control computer selects a predetermined SOC point for dynamic load testing, and selects multiple groups of load condition parameters from a preset load condition parameter library.

[0066] It should be noted that at the selected SOC point, the charging device under test is controlled to enter a stable charging state.

[0067] In addition, the selection of SOC points is based on the working characteristics of the charging equipment at different states of charge, usually including typical states such as 20%, 50%, and 80%: 20% SOC is used to test the charging ability and dynamic response characteristics of the charging equipment at low power state, simulating the working conditions when the battery is close to exhaustion; 50% SOC represents a medium state of charge, at which the current is relatively stable, suitable for evaluating the mid-stage charging performance of the equipment; 80% SOC is close to the full battery state, at which the charging current usually decreases, and the charging equipment may enter the constant voltage mode, suitable for evaluating the dynamic response capability when it is close to full. The selection of these SOC points can cover the performance of the charging equipment at different charging stages and ensure the comprehensiveness of the test.

[0068] Furthermore, the setting of load condition parameters is based on the design specifications and actual working conditions of the charging equipment, and the load condition parameters include load resistance value, load voltage value and load duration. The load resistance value is set according to the output power range of the charging equipment, usually including light load (such as 10% rated power), medium load (such as 50% rated power) and heavy load (such as 100% rated power) to test the dynamic response capability of the equipment under different load conditions; the load voltage value is set according to the output voltage range of the charging equipment to ensure that the load voltage is within the normal working range of the equipment; the load duration should be long enough to ensure that the equipment reaches a stable state under load conditions, usually ranging from 5 seconds to 30 seconds, and the specific time is adjusted according to the response speed of the equipment.

[0069] S3.2: The control computer transmits the selected load condition parameters to the programmable load device.

[0070] S3.3: The programmable load device adjusts its load characteristics according to the received load condition parameters and applies a dynamic load to the simulated battery device.

[0071] S3.4: During the dynamic load application process, the data acquisition device acquires the second parameter set at a preset sampling frequency F2.

[0072] Among them, the second parameter set is mainly used to evaluate the dynamic response characteristics, including output voltage value, charging current value, load voltage value, load current value, etc. The sampling frequency F2 should be significantly higher than the sampling frequency F1 during the normal charging process to accurately capture the transient response under dynamic load changes.

[0073] S3.5: The control computer calculates the dynamic response characteristics of the charging device to be tested based on the second parameter set, compares the calculated dynamic response characteristics with the preset threshold conditions, and records all test results.

[0074] The dynamic response characteristics include voltage regulation rate, current regulation rate and response time, and the preset threshold conditions include voltage regulation rate threshold, current regulation rate threshold and response time threshold.

[0075] S3.6: The control computer stores the second parameter set, dynamic response characteristics and test results into a test database.

[0076] It should be noted that this step is used for subsequent analysis and evaluation of the dynamic performance of the charging device under test.

[0077] S3.7: The control computer repeatedly executes S3.2 to S3.6 until the tests of all preset load conditions are completed or the preset number of tests is reached, and a safety check is performed after each test cycle.

[0078] It should be noted that if all working condition tests are not completed, the reasons and the number of tests completed should be recorded. In addition, safety checks are used to ensure that the equipment temperature and other key parameters are within a safe range. If an abnormality is found, the test should be terminated immediately and relevant information should be recorded.

[0079] In addition, S3.2 to S3.6 cover a complete test cycle at a single SOC point.

[0080] S3.8: Repeat the above S3.1 to S3.7 to complete the dynamic load test of all predetermined SOC points.

[0081] Preferably, the present invention can comprehensively evaluate the dynamic response characteristics of the charging device under different charge states by performing dynamic load tests on the charging device at predetermined SOC points. By setting different SOC points and multiple load conditions, the complex working conditions of the device in actual use are simulated, and key parameters such as voltage and current are collected in real time to ensure high-precision capture of the instantaneous response of the device when the load changes. By comprehensively testing the dynamic response characteristics such as voltage regulation rate, current regulation rate and response time, the stability and rapid response capability of the device under different load conditions can be accurately evaluated.

[0082] S4: Calculate charging performance indicators based on charging efficiency and dynamic response characteristics.

[0083] Specifically, the following steps are included:

[0084] S4.1: Extract charging efficiency data and dynamic response characteristic data from the test database.

[0085] S4.2: Calculate the charging efficiency fluctuation index and the charging speed index.

[0086] Among them, the charging efficiency fluctuation index is the standard deviation of the charging efficiency data, and the charging speed index is the average slope of the charging efficiency curve.

[0087] S4.3: Calculate dynamic response capability indicators.

[0088] The specific method is: calculate the 90% quantile values ​​of the voltage regulation rate, current regulation rate and response time respectively, and combine these values ​​to obtain the dynamic response capability index.

[0089] S4.4: Establish a three-dimensional performance evaluation space with the charging efficiency fluctuation index as the X-axis, the charging speed index as the Y-axis, and the dynamic response capability index as the Z-axis.

[0090] S4.5: Locate the performance point of the charging device to be tested in the three-dimensional performance evaluation space, calculate the Euclidean distance between the performance point and the preset ideal performance point, and obtain a comprehensive performance distance index.

[0091] Among them, the preset ideal performance point is a reference point in the three-dimensional performance evaluation space, which is used to evaluate the performance of the charging device to be tested and defines the best performance that the charging device should achieve under ideal conditions. This point includes the ideal values ​​of three key indicators: the charging efficiency fluctuation index should be close to 0, indicating stable efficiency; the charging speed index should be close to the maximum value, indicating the fastest charging speed; the dynamic response capability index should be close to the minimum value, indicating that the device can adjust quickly and accurately when the load changes. The performance point of the device to be tested is calculated by the Euclidean distance between the preset ideal performance point to obtain a comprehensive performance distance index. The smaller the Euclidean distance, the closer the performance of the device is to the ideal state, and the larger the Euclidean distance, the greater the gap between the device and the ideal performance.

[0092] It should be noted that the specific ideal performance point coordinates can be adjusted according to the actual application scenario of the device to match different charging requirements.

[0093] S4.6: Use a preset nonlinear mapping function to convert the comprehensive performance distance indicator into a charging performance score.

[0094] It should be noted that commonly used nonlinear functions include exponential decay functions, logarithmic functions or Sigmoid functions. The purpose of nonlinear mapping is to more sensitively reflect the gap between the performance of the charging device and the ideal state. For example, the exponential decay function can make the score decrease nonlinearly as the comprehensive performance distance increases, while the Sigmoid function can smoothly reflect the performance difference. The output of the mapping function usually needs to be normalized to a specified scoring range, such as 0 to 100 points, in order to intuitively evaluate the overall performance of the device. By adjusting the parameters of the mapping function, the sensitivity of the score can be flexibly controlled according to actual needs to ensure that the score accurately reflects the deviation of the device from the ideal performance.

[0095] S4.7: Integrate the charging efficiency fluctuation index, the charging speed index, the dynamic response capability index, the comprehensive performance distance index and the charging performance score to generate a charging performance index set.

[0096] S5: Generate a multi-dimensional test report based on charging performance indicators.

[0097] Specifically, the charging performance indicator set obtained in step S4 is sorted out. A performance radar chart is constructed with the charging efficiency fluctuation index, charging speed index, and dynamic response capability index as three dimensions to intuitively display the performance characteristics of the charging device to be tested. The closer the value of each indicator in the radar chart is to the ideal value, the better the overall performance of the device; a charging efficiency curve is drawn, with the horizontal axis being the charging time and the vertical axis being the charging efficiency. The curve is used to show the efficiency change trend of the charging device during the charging process and help analyze the efficiency performance of the device at different SOC stages (the performance of the charging device at different charging stages can be further interpreted based on the smoothness and slope of the curve); a performance rating table is created to divide the device performance level according to the charging performance score (in the performance rating table, the corresponding performance description is given for each level, and optimization suggestions are provided based on the specific score); a brief analysis of the device performance is conducted, the advantages and potential improvement directions of the device are pointed out, and a performance analysis report is generated; a multi-dimensional test report is generated in summary, which should comprehensively reflect the overall performance status of the charging device to be tested and provide data support for device optimization.

[0098] Furthermore, the present embodiment also provides a new energy vehicle charging equipment testing system, including a connection module, used to connect the charging equipment to be tested with the simulated battery device, and connect the charging equipment to be tested to a power source, and at the same time connect the data acquisition device to the charging equipment to be tested and the simulated battery device; a charging module, used to control the charging equipment to be tested to charge the simulated battery device according to preset charging parameters, and at the same time monitor and record the charging efficiency of the charging equipment to be tested in real time through the data acquisition device; a simulation module, used to simulate various load conditions at a predetermined SOC point using a programmable load device to test the dynamic response characteristics of the charging equipment to be tested; a calculation module, used to calculate the charging performance index according to the charging efficiency and dynamic response characteristics; a report generation module, used to generate a multi-dimensional test report based on the charging performance index.

[0099] In summary, the present invention improves the ability to capture the transient response characteristics of charging equipment and the practicality of the test by introducing dynamic sampling frequency adjustment and multi-SOC point dynamic load testing. The innovative use of three-dimensional performance evaluation space and nonlinear mapping function realizes the comprehensive quantitative evaluation of charging efficiency fluctuations, charging speed and dynamic response capabilities, overcoming the limitations of single indicator evaluation. The generation of multi-dimensional test reports provides strong support for the intuitive analysis and optimization of charging equipment performance, and improves the comprehensiveness and accuracy of new energy vehicle charging equipment testing.

[0100] Furthermore, in order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments, as follows:

[0101] When testing a new on-board charger with a rated output power of 11kW, an output voltage range of 200V-450V, and a maximum output current of 30A, the experimental environment temperature was maintained at 25±2°C and the relative humidity was controlled at 45%-55%. The test platform uses a simulated battery device with a rated capacity of 60kWh, which is placed in a constant temperature box and maintained at 25°C. The power simulator provides AC 380V / 50Hz input, and the initial sampling frequency of the data acquisition device is set to 10Hz. The temperature sensors are arranged at three key locations: the surface of the power module, near the control circuit board, and the heat dissipation area of ​​the shell. The load current range of the programmable load device is 1A-36A, with a step value of 0.1A.

[0102] During the test, three groups of charging parameters were set: low power (300V / 10A), medium power (350V / 20A) and high power (400V / 27.5A), and three full charging cycle tests were performed on each group. During the fast charging stage, the sampling frequency was dynamically increased to 50Hz to capture instantaneous changes. Subsequently, dynamic load tests were performed at SOC points of 20%, 50% and 80%. Five load conditions were set for each SOC point, namely 10%, 30%, 50%, 70% and 100% of the rated power, and each condition lasted for 10 seconds. At this stage, the sampling frequency was further increased to 1kHz to accurately obtain transient response characteristics.

[0103] The data analysis results show that the charging efficiency fluctuation index is 1.2%, the charging speed index is 0.85kW / min, and the dynamic response capability index is 0.95. In the three-dimensional performance evaluation space, the performance point coordinates of the charging device to be tested are (1.2, 0.85, 0.95), and the Euclidean distance calculation with the preset ideal performance point (0, 1, 0.9) results in a comprehensive performance distance index of 0.38. This distance is mapped to a score range of 0~100 through an exponential decay function, and the final charging performance score is 92 points.

[0104] The performance radar chart in the multi-dimensional test report intuitively shows the performance of the charging equipment under test in three dimensions: efficiency stability, charging speed, and dynamic response. The charging efficiency curve clearly shows that within the range of 20% to 80% SOC, the charging efficiency remains stable between 94% and 96%. The performance rating table corresponds 92 points to the "excellent" level and puts forward the improvement suggestion that "dynamic response capability still has room for improvement."

[0105] The comparison results between the method of the present invention and the prior art are shown in Table 1.

[0106]

[0107] As can be seen from Table 1, the present invention shows obvious advantages in key indicators such as charging efficiency fluctuation, charging speed, and dynamic response capability. These advantages are comprehensively reflected in lower performance distance indicators and higher charging performance scores, which fully confirms the technical advancement and practical application value of the present invention in the field of new energy vehicle charging equipment testing.

[0108] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A new energy vehicle charging equipment testing method, characterized in that: include, Connecting the charging device to be tested to the simulated battery device, and connecting the charging device to be tested to a power source, and connecting a data acquisition device to the charging device to be tested and the simulated battery device; Controlling the charging device to be tested to charge the simulated battery device according to preset charging parameters, and monitoring and recording the charging efficiency of the charging device to be tested in real time through a data acquisition device; At a predetermined SOC point, a programmable load device is used to simulate various load conditions to test the dynamic response characteristics of the charging device to be tested; Calculating a charging performance index according to the charging efficiency and the dynamic response characteristics; Generate a multi-dimensional test report based on the charging performance indicators; The testing of the dynamic response characteristics of the charging device to be tested comprises: The control computer selects a predetermined SOC point for dynamic load testing and selects multiple groups of load condition parameters from a preset load condition parameter library; The control computer transmits the selected load condition parameters to the programmable load device; The programmable load device adjusts its load characteristics according to the received load condition parameters and applies a dynamic load to the simulated battery device; The data acquisition device acquires the second parameter set at a preset sampling frequency F2 during the dynamic load application process; The control computer calculates the dynamic response characteristics of the charging device to be tested based on the second parameter set, compares the calculated dynamic response characteristics with a preset threshold condition, and records all test results; The control computer stores the second parameter set, the dynamic response characteristics and the test results in a test database; The calculation of the charging performance index includes: Extract charging efficiency data and dynamic response characteristic data from the test database; Calculate charging efficiency fluctuation index, charging speed index and dynamic response capability index; Establish a three-dimensional performance evaluation space, with the charging efficiency fluctuation index as the X-axis, the charging speed index as the Y-axis, and the dynamic response capability index as the Z-axis; Locating a performance point of the charging device to be tested in the three-dimensional performance evaluation space, calculating the Euclidean distance between the performance point and a preset ideal performance point, and obtaining a comprehensive performance distance index; Using a preset nonlinear mapping function, converting the comprehensive performance distance indicator into a charging performance score; The charging efficiency fluctuation index, charging speed index, dynamic response capability index, comprehensive performance distance index and charging performance score are integrated to generate a charging performance index set.

2. The new energy vehicle charging equipment testing method according to claim 1, characterized in that: The step of connecting the data acquisition device to the charging device to be tested and the simulated battery device comprises: Select the simulated battery device; The output terminal of the charging device to be tested is electrically connected to the input terminal of the simulated battery device through a quick connector; Electrically connecting the power simulator to the input terminal of the charging device to be tested; Electrically connecting the voltage acquisition port of the data acquisition device to the input end and the output end of the charging device to be tested; Connecting the current acquisition port of the data acquisition device in series between the output end of the charging device to be tested and the simulated battery device; Install a temperature sensor at a predetermined position of the charging device to be tested, and electrically connect the temperature sensor to the temperature acquisition port of the data acquisition device; Connecting the programmable load device in parallel with the output terminal of the simulated battery device and making an electrical connection thereto; Connecting the data acquisition device, the programmable load device and the control computer via a communication interface; Perform test preparation and safety checks.

3. The new energy vehicle charging equipment testing method according to claim 2, characterized in that: The step of installing a temperature sensor at a predetermined position of the charging device to be tested comprises: Performing thermal imaging analysis on the charging device to be tested using an infrared thermal imager to obtain a hot spot distribution map on the surface of the charging device to be tested; Based on the hot spot distribution map, select N locations as installation points of temperature sensors; using thermally conductive material at said mounting points; Fix the temperature sensor to the installation point and perform a preliminary test; Calibrate the fixed temperature sensor.

4. The new energy vehicle charging equipment testing method according to claim 1, characterized in that: The controlling the charging device to be tested to charge the simulated battery device according to the preset charging parameters comprises: Sending a charging instruction to the charging device to be tested by controlling the computer to set charging parameters; the charging parameters include charging voltage, charging current and charging time; Starting the charging device to be tested, and charging the simulated battery device according to the charging parameters; The data acquisition device acquires a first parameter set at a preset sampling frequency F1; The control computer calculates the charging efficiency of the charging device to be tested according to the first parameter set at every preset time interval T; The control computer stores the first parameter set and the charging efficiency in a test database; The charging, collecting, and storing processes are repeated until the SOC of the simulated battery device reaches a preset value.

5. The new energy vehicle charging equipment testing method according to claim 1, characterized in that: The second parameter set is used to evaluate dynamic response characteristics, including load voltage value and load current value; The first parameter set is used to evaluate a conventional charging process, including an input voltage value, an output voltage value, an input current value, an output current value, a temperature value, and a charging time.

6. A new energy vehicle charging equipment testing system, based on the new energy vehicle charging equipment testing method according to any one of claims 1 to 5, characterized in that: Also includes, A connection module, used to connect the charging device to be tested with the simulated battery device, connect the charging device to be tested to a power source, and connect a data acquisition device to the charging device to be tested and the simulated battery device; A charging module, used to control the charging device to be tested to charge the simulated battery device according to preset charging parameters, and to monitor and record the charging efficiency of the charging device to be tested in real time through a data acquisition device; A simulation module, used to simulate various load conditions at a predetermined SOC point using a programmable load device to test the dynamic response characteristics of the charging device under test; A calculation module, used to calculate a charging performance index according to the charging efficiency and the dynamic response characteristics; A report generation module is used to generate a multi-dimensional test report based on the charging performance index.

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