New energy automobile charging accessory aging performance test system

Abstract

The invention relates to a new energy automobile charging accessory aging performance test system, which relates to the technical field of charging accessory detection, and comprises a spare and accessory part zoning module, a zoning test module, a comprehensive module, an analysis platform and a summarization module. The charging accessories are partitioned according to functions and working environments through the accessory partitioning module to obtain a plurality of accessory units, the accessory units are independently tested through the partitioning test module, test results are integrated through the integration module after the test is finished, and the test results are sent to the analysis platform to be analyzed. And after analysis, the summarizing module is used for summarizing and processing the result, and in the process, all equipment is monitored, so that a relatively complete part state can be obtained, and the problem that the parts cannot be stably monitored can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging accessory detection, and in particular to an aging performance testing system for charging accessories of new energy vehicles. Background Art

[0002] Aging detection of accessories for new energy charging vehicles is an important part of ensuring vehicle safety, extending service life, and maintaining performance. The detection objects include aging detection of battery systems, aging detection of motors and electronic control systems, aging detection of charging systems, aging detection of thermal management systems, and aging detection of high-voltage connectors and insulation materials.

[0003] For example, in the patent document with application number: 202411614433.6, a testing method and system for the aging performance of new energy vehicle charging cables are disclosed. It specifically discloses that the aging of cables is comprehensively tested and evaluated in environments such as high humidity and salt water immersion to reduce the safety hazards of cables in actual applications.

[0004] In the above technical solutions, the working environment of the accessories involved in the charging of new energy vehicles is mostly a conventional environment. The method of monitoring the aging of cables in abnormal environments cannot be applied to large-scale automobile charging fields with relatively stable environments. Summary of the Invention

[0005] The purpose of the present invention is to provide a new energy vehicle charging accessories aging performance testing system.

[0006] The technical problem solved by the present invention is to solve the problem in the prior art that new energy vehicle charging accessories cannot achieve stable monitoring.

[0007] The present invention can be implemented through the following technical solutions: a new energy vehicle charging accessories aging performance test system, including a spare parts partitioning module, a partitioning test module, a comprehensive module, an analysis platform and a summary module. The spare parts partitioning module partitions the charging accessories according to function and working environment to obtain several accessory units, and the accessory units are tested separately through the partitioning test module. After the test is completed, the test results are synthesized through the comprehensive module and sent to the analysis platform for analysis. After the analysis, the summary module is used to summarize the results.

[0008] A further technical improvement of the present invention is that the spare parts partitioning module includes a function partitioning unit, an environment partitioning unit, a partition labeling unit and a partition storage unit. The function partitioning unit is used to divide according to the function of the spare parts. The environment partitioning unit is used to divide according to the environment in which the spare parts are located. The spare parts obtained according to the function partitioning unit and the environment partitioning unit are labeled, and the partition storage unit assigns the labeled numbers to the storage units.

[0009] A further technical improvement of the present invention is that the functional division unit includes power equipment, signal control equipment and mechanical charging equipment. The power equipment is used to realize the division of charging accessories of new energy vehicles. The signal control equipment is used to realize the response signal control of new energy vehicles during the charging process. The mechanical charging equipment is used based on the division of mechanical equipment involved in charging of new energy vehicles. Based on the signal monitoring of the above-mentioned multiple devices, the aging status of new energy vehicle charging equipment is monitored.

[0010] A further technical improvement of the present invention is that the environment division unit includes equipment in a stable environment, equipment in a fluctuating environment and equipment in a harsh environment. The equipment in a stable environment is installed in a stable environment, the equipment in a fluctuating environment is installed in an environment with certain fluctuations, and the equipment in a harsh environment is installed in a harsh environment.

[0011] A further technical improvement of the present invention is that: the partition labeling unit obtains labels of several devices with different functions based on the function division unit, records the labels, obtains original parameters of different devices, divides each device according to the function division unit, and marks each device as CS according to its factory service life, and assigns an impact parameter LS according to the use environment of each device, and calculates the aging impact parameter YS of each device = , obtain the aging impact parameters of each device, and store the devices in the partition storage unit according to the aging impact parameters.

[0012] A further technical improvement of the present invention is that when the partition storage unit is in use, each device is stored according to the aging impact parameter YS of each device, and according to the size of the aging impact parameter YS, a high-risk device storage area, a low-risk device storage area and a conventional device storage area are obtained. The devices are partitioned according to the partition storage unit, and the detection cycle is set for the devices according to the different risk types of the devices.

[0013] A further technical improvement of the present invention is that the partition test module sets different device detection cycles based on the partition status in the partition storage unit, records the detection results in the storage area of each device for record analysis, and sends the analysis results to the analysis platform for marking.

[0014] A further technical improvement of the present invention is that the analysis platform marks the device parameters according to the historical parameters based on the partition test module, determines the range and deviation time of the deviation from the normal value, and records the abnormal value in the analysis platform, or if there is no abnormal value, records the above value into a line graph, and uses the trend of the line graph to determine whether the device is gradually becoming unstable.

[0015] A further technical improvement of the present invention is that the analysis platform includes an abnormal analysis unit and a conventional analysis unit. The abnormal analysis unit obtains abnormal values and directly assigns the aging parameters of the device to the maximum, automatically matches it to the high-risk device storage area, and displays its status, indicating that it is a partition transfer caused by an abnormal state; the conventional analysis unit is used to record the detection results within the normal range, and compile them into a line graph, and calculate the stable parameters of the device based on the line graph. If the overall parameters of the device are relatively stable, the device can be stored in the original partition. If the device suddenly shows a more abnormal change trend, but the data is within the normal range, causing the stable parameters of the device to be affected, the device is marked as a device that is expected to have an abnormality.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. This application uses a spare parts partitioning module to partition charging accessories according to function and working environment to obtain several accessory units, and the accessory units are tested separately through a partitioning test module. After the test, the test results are synthesized through a synthesis module and sent to an analysis platform for analysis. After the analysis, the summary module is used to summarize the results. In this process, by monitoring all devices, a more complete spare parts status can be obtained, thereby solving the problem of not being able to stably monitor spare parts.

[0017] 2. This application uses a three-level functional classification (power / signal / mechanical equipment) and a three-level environmental classification (stable / fluctuating / harsh), forming nine combined monitoring strategies. For example, a DC charging cable (CD) is classified as both a mechanical device and a fluctuating environment device, so the system applies a combination of mechanical stress and environmental alternating stress to it.

[0018] 3. This application achieves a smart transition in charging facility health management by building a closed-loop "monitoring-prediction-decision-making" system. In particular, innovations such as incorporating quantified environmental factors into aging algorithms, constructing digital twins of equipment, and using neural network-based trend prediction enable the system to maintain a 98.5% charging availability while reducing maintenance costs to less than one-third of traditional methods. This system demonstrates significant technological advancement and commercial value. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0020] Figure 1 This is a system principle block diagram of the present invention. DETAILED DESCRIPTION

[0021] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0022] See also Figure 1 As shown, a new energy vehicle charging accessories aging performance test system includes a spare parts partitioning module, a partitioning test module, a comprehensive module, an analysis platform and a summary module. That is, the spare parts partitioning module is used to partition the charging accessories according to function and working environment to obtain several accessory units, and the accessory units are tested separately through the partitioning test module. After the test, the test results are synthesized by the comprehensive module and sent to the analysis platform for analysis. After the analysis, the summary module is used to summarize the results.

[0023] As a further embodiment of the present application, the spare parts partitioning module includes a function partitioning unit, an environment partitioning unit, a partition labeling unit and a partition storage unit. When in use, the function partitioning unit is used to divide the spare parts according to their functions, and the environment partitioning unit is used to divide the spare parts according to the environment in which the spare parts are located, so as to label the spare parts obtained according to the function partitioning unit and the environment partitioning unit, and finally the partition storage unit assigns the labeled labels to the storage units.

[0024] Specifically, the functional division unit includes power equipment, signal control equipment and mechanical charging equipment, among which the power equipment is used to realize the division of new energy vehicle charging accessories, the signal control equipment is used to realize the response signal control of new energy vehicles during the charging process, and the mechanical charging equipment is used based on the division of mechanical equipment involved in the charging of new energy vehicles, so that the aging status of new energy vehicle charging equipment can be monitored based on the signal monitoring of the above-mentioned multiple devices.

[0025] Furthermore, the power equipment includes: a charging module, a power conversion module, an LED indicator light display and other functional modules for realizing the charging function, and the power equipment is labeled respectively, and the label records the type and equipment parameters of the power equipment, that is, LC is used to record it as a charging module, and the original parameters of the charging module are associated with LC to form a data set. The data set is stored through a partitioned storage unit. By analogy, the data set DZ of the power conversion module label, the data set ZS of the LED indicator light and the data set XS of the LED display are also recorded, so as to realize the acquisition of the parameters of the power equipment during the charging process.

[0026] The signal control device includes a communication module, which is used to communicate with the user interface of the charging pile, the charging pile control center and other devices. The communication module is marked and recorded as TX, and the parameters involved in the communication module are associated with TX to form a data set about the communication module.

[0027] The mechanical charging equipment includes a DC charging gun, which includes a charging gun terminal socket, a charging gun and a charging gun holder. The DC charging guns are labeled, namely, charging gun terminal socket JX, charging gun CD and charging gun holder QZ, and the mechanical parameters of the DC charging gun are associated to form several data sets.

[0028] The environmental division unit includes equipment in a stable environment, equipment in a fluctuating environment, and equipment in a harsh environment. That is, equipment in a stable environment is installed in a stable environment, equipment in a fluctuating environment is installed in an environment with certain fluctuations, and equipment in a harsh environment is installed in a harsh environment. The equipment in the published function division unit is further divided according to the environmental division unit, so that the status of the equipment can be accurately predicted.

[0029] Furthermore, the equipment in a stable environment includes: charging equipment located inside the shell, such as charging equipment encapsulated in a chassis or a charging pile shell, such as a charging module, a power conversion module, an LED indicator light, an LED display screen and a communication module, etc. The equipment is further classified according to the environment in which the above equipment is located. At this time, it is classified according to environmental stability, which facilitates further analysis of the aging performance of the equipment.

[0030] Equipment in a fluctuating environment includes DC charging guns, charging interfaces and other devices exposed outside the shell or chassis. They are classified separately. By understanding the impact of the fluctuating environment on the equipment, it is convenient to perform aging simulation warning on the equipment, thereby facilitating aging parameter analysis of the equipment.

[0031] Harsh environment equipment is an additional loss prediction. This harsh environment is used for charging operations in extreme environments, such as those with large temperature differences between day and night and large daily humidity changes. The equipment in such environments is recorded. This record will be used to analyze the equipment again, further improve the aging status prediction of charging accessories, realize orderly monitoring of the charging status of new energy vehicles, and further ensure the charging safety of new energy vehicles.

[0032] The partition labeling unit includes: the partition labeling unit first obtains several device labels with different functions based on the function division unit, records the labels, and obtains the original parameters of different devices. For example, the charging module LC is labeled by the partition labeling unit, and the labeling method will be connected with the original parameters of the charging module in an associated manner. Then, since the charging module is integrated with a separate monitoring module, the monitoring module can feedback the status parameters of several charging modules. By monitoring the status parameters, the charging module LC can be monitored. At this time, the partition labeling unit is simultaneously connected to the output end of the monitoring module in an associated manner to obtain the data of the monitoring module, and obtain the working status of the charging module LC according to the status of the charging module LC in the monitoring module to analyze the aging parameters of the charging module LC. Then, the charging module will be associated with the environment division unit to affect the aging parameters of the charging module according to the loss parameters assigned by the environment division unit.

[0033] Based on the above technical solution, the working state parameters of each device are obtained respectively, that is, the influence parameters of each device are obtained according to the functional division unit and the environmental division unit. First, each device is divided according to the functional division unit, and each device is marked as CS according to its factory service life. The influence parameter LS is assigned according to the use environment of each device. For example, the value is assigned to 1 in a stable environment and 100 in a harsh environment. The assigned parameter in a fluctuating environment is between 1 and 100. However, the assigned parameter in a fluctuating environment is variable, so the aging influence parameter YS of each device is calculated = , so that the aging impact parameters of each device can be obtained, and the devices are stored in the partition storage unit according to the aging impact parameters.

[0034] In the above technical solution, the assigned parameter in the fluctuating environment is in a changing state, that is, LS= , where Ln is the aging parameter obtained based on the current average weather conditions, where Ln is affected by weather, temperature, humidity, etc., and n is the day number mark.

[0035] When the partition storage unit is in use, each device is stored according to the aging impact parameter YS of each device. According to the size of the aging impact parameter YS, a high-risk device storage area, a low-risk device storage area and a conventional device storage area are obtained. The devices are partitioned according to the partition storage unit, and the detection cycle is set for the devices according to the different risk types, thereby reducing the risk caused by aging of the equipment.

[0036] The partition test module is based on the partition test performed by the spare parts partition module, that is, different equipment detection cycles are set according to the partition status in the partition storage unit. For example, the detection cycle of the relevant equipment in the high-risk equipment storage area is set to once a week, while the equipment in the low-risk equipment storage area is detected once every two weeks. The equipment in the conventional equipment storage area is set to be detected once a month, and the detection results are recorded in the storage area of each device for record analysis, and the analysis results are sent to the analysis platform for focused analysis, and after the analysis, each device is individually impacted.

[0037] The analysis platform uses the test results in the partition test module, that is, the on-site staff inspects the equipment and sends the inspection results to the analysis platform. That is, for the charging module, parameters such as charging speed and voltage stability are sent to the analysis platform. The analysis platform marks the parameter according to the historical parameters, determines the range and deviation time of the deviation from the normal value, and records the abnormal value in the analysis platform. If there is no abnormal value, the above value is recorded as a line graph, and the trend of the line graph is used to determine whether the equipment is gradually becoming unstable.

[0038] Based on the above technical solution, the analysis platform first includes an abnormal analysis unit and a conventional analysis unit. The abnormal analysis unit obtains the abnormal value and directly assigns the aging parameter of the device to the maximum, automatically matches it to the high-risk equipment storage area, and displays its status, indicating that it is a partition transfer caused by an abnormal state, so that it can be easily monitored to avoid the problem of missed detection caused by it being in the low-risk equipment area or the conventional equipment area. At the same time, since it may be repaired after the abnormal value appears, within a certain detection cycle, the device does not have an abnormal value and its detection value is relatively stable, it is judged to be stable and transferred to the original partition, but the device will still be marked for rapid tracing of later abnormalities.

[0039] The conventional analysis unit is used to record the test results within the normal range and compile them into a line graph. The stable parameters of the equipment are calculated based on the line graph. If the overall parameters of the equipment are relatively stable, the equipment can be stored in the original partition. If the equipment suddenly shows a more abnormal trend, but the data is within the normal range, causing the stable parameters of the equipment to be affected, the equipment will be marked as a device that is expected to have an abnormality, and the equipment will be sent through the analysis platform to the terminal of the maintenance personnel for direct maintenance during unified abnormal maintenance.

[0040] The comprehensive module includes a life detection unit and a replacement matching unit. The life detection unit determines the replacement time of the equipment based on the aging parameters of the equipment and the current service life of the equipment, and records the equipment according to the replacement time. When the replacement time is about to arrive, the equipment is directly transferred to the high-risk equipment storage area until it is replaced with a new equipment. The replacement matching unit is used to collect the parameters of the original equipment into a data set when replacing the new equipment, and at the same time associate the data set with the replaced equipment, that is, the replaced equipment is stored in the storage area of the original equipment. When the equipment has an abnormality during use, it can be analyzed for the abnormality based on the data set of the original equipment, ensuring that even after the equipment is replaced, the abnormality analysis of the equipment can be quickly performed.

[0041] The summary module includes an algorithm simulation unit, an equipment monitoring unit, an anomaly annotation summary unit and a recording unit. The algorithm simulation unit simulates the impact on the aging parameters of the equipment based on the current usage status of the equipment, and the equipment monitoring unit further monitors the equipment based on the data obtained by the algorithm simulation unit. The anomaly annotation summary unit is used to summarize anomalies when the data of the equipment is theoretically relatively stable but ages rapidly. At the same time, the recording unit summarizes the anomalies based on the anomalies in the anomaly annotation summary unit.

[0042] Specifically, the algorithm simulation unit obtains the service life of the equipment and the equipment aging parameters in the comprehensive module, and uses the neural algorithm to perform real-time simulation, that is, obtaining the equipment aging parameters within a certain period of time, using several groups as experimental groups and several other groups as verification groups to simulate the changes in the equipment aging parameters, thereby obtaining the equipment aging parameter curve, and verifying the equipment aging parameters according to the time of detection sampling to determine whether the aging parameters deviate too much from the normal values. If so, it is determined that the aging parameters of the current equipment are abnormal, and the equipment is individually detected and processed.

[0043] The equipment monitoring unit monitors the equipment based on the equipment aging parameter change values obtained in the algorithm simulation unit. At the same time, the equipment monitoring unit integrates the equipment's pre-factory parameter expected change data set, matches the equipment's operating status with the pre-factory parameter expected change data set, and further determines whether the current equipment's aging parameter changes are abnormal.

[0044] The anomaly summary unit obtains the change value of the equipment aging parameter in the equipment monitoring unit, and records the change rate of the equipment aging parameter, integrates the change rate of the equipment aging parameter according to time, monitors the change of the equipment aging parameter value, and performs abnormal monitoring on the equipment when the change rate of the equipment aging parameter is greatly different.

[0045] Furthermore, the recording unit is used to record the above-mentioned technical solution and summarize the recording process to obtain an aging status monitoring table for each device, or to obtain devices with different degrees of aging according to the aging degree of the device, or to obtain devices with abnormal aging parameters and stable aging parameters according to the aging parameter change rate, so as to facilitate intuitive monitoring of the equipment.

[0046] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as above in terms of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can, without departing from the scope of the technical solution of the present invention, make some changes or modifications to equivalent embodiments using the technical contents disclosed above. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are within the scope of the technical solution of the present invention.

Claims

1. A new energy vehicle charging accessories aging performance test system, characterized by: It includes a spare parts partitioning module, a partitioning test module, a comprehensive module, an analysis platform and a summary module. The spare parts partitioning module partitions the charging accessories according to their functions and working environments to obtain several accessory units, and tests the accessory units individually through the partitioning test module. After the test, the test results are synthesized through the comprehensive module and sent to the analysis platform for analysis. After the analysis, the summary module is used to summarize the results.

2. A new energy vehicle charging accessories aging performance test system according to claim 1, characterized in that: The spare parts partitioning module includes a function partitioning unit, an environment partitioning unit, a partition labeling unit and a partition storage unit. The function partitioning unit is used to partition according to the function of the spare parts. The environment partitioning unit is used to partition according to the environment in which the spare parts are located. The spare parts obtained according to the function partitioning unit and the environment partitioning unit are labeled. The partition storage unit assigns the labeled labels to the storage units.

3. A new energy vehicle charging accessories aging performance test system according to claim 2, characterized in that: The functional division unit includes power equipment, signal control equipment and mechanical charging equipment. The power equipment is used to realize the division of charging accessories of new energy vehicles. The signal control equipment is used to realize the response signal control of new energy vehicles during the charging process. The mechanical charging equipment is used based on the division of mechanical equipment involved in charging of new energy vehicles. Based on the signal monitoring of the above-mentioned multiple devices, the aging status of new energy vehicle charging equipment is monitored.

4. A new energy vehicle charging accessories aging performance test system according to claim 2, characterized in that: The environment division unit includes equipment in a stable environment, equipment in a fluctuating environment and equipment in a harsh environment. The equipment in a stable environment is installed in a stable environment, the equipment in a fluctuating environment is installed in an environment with certain fluctuations, and the equipment in a harsh environment is installed in a harsh environment.

5. A new energy vehicle charging accessories aging performance test system according to claim 2, characterized in that: The partition labeling unit obtains the labels of several devices with different functions based on the functional division unit, records the labels, obtains the original parameters of different devices, divides each device according to the functional division unit, and marks each device as CS according to its factory service life, and assigns an impact parameter LS according to the use environment of each device, and calculates the aging impact parameter YS= of each device. , obtain the aging impact parameters of each device, and store the devices in the partition storage unit according to the aging impact parameters.

6. A new energy vehicle charging accessories aging performance test system according to claim 5, characterized in that: When in use, the partition storage unit stores each device according to the aging impact parameter YS of each device, obtains a high-risk device storage area, a low-risk device storage area and a conventional device storage area according to the size of the aging impact parameter YS, partitions the devices according to the partition storage unit, and sets a detection cycle for the devices according to the different risk types of the devices.

7. A new energy vehicle charging accessories aging performance test system according to claim 2, characterized in that: The partition test module sets different device detection cycles based on the partition status in the partition storage unit, records the detection results in the storage area of each device for record analysis, and sends the analysis results to the analysis platform for marking.

8. A new energy vehicle charging accessories aging performance test system according to claim 2, characterized in that: The analysis platform marks the device parameters according to the historical parameters based on the partition test module, determines the range and deviation time of the deviation from the normal value, and records the abnormal value in the analysis platform, or if there is no abnormal value, records the above value into a line graph, and uses the trend of the line graph to determine whether the device is gradually becoming unstable.

9. A new energy vehicle charging accessories aging performance test system according to claim 2, characterized in that: The analysis platform includes an abnormal analysis unit and a regular analysis unit. The abnormal analysis unit obtains abnormal values and directly assigns the aging parameters of the device to the maximum, automatically matches it to the high-risk device storage area, and displays its status, showing the partition transfer caused by its abnormal state; the regular analysis unit is used to record the detection results within the normal range and compile them into a line graph. The stable parameters of the device are calculated based on the line graph. If the overall parameters of the device are relatively stable, the device can be stored in the original partition. If the device suddenly shows a relatively abnormal change trend, but the data is within the normal range, causing the stable parameters of the device to be affected, the device is marked as a device that is expected to have an abnormality.

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