Electric vehicle charging detection system and method

Abstract

The present invention relates to the technical field of electric vehicles, and discloses an electric vehicle charging detection system and method, comprising a central control module, and a data acquisition module, a power adjustment module, a self-diagnosis acquisition module, an analysis module, a communication module and a display module respectively connected to the central control module; by collecting charging data and battery cell data during the power battery charging process, using an analysis model to perform power battery health status analysis and detection, and obtain a power battery health status assessment. The present invention has the beneficial effect of accurately and conveniently assessing the health status of the power battery and ensuring driving safety.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicles, and in particular to an electric vehicle charging detection system and method. Background Art

[0002] With the shortage of oil resources and the increasingly obvious greenhouse effect caused by exhaust emissions from traditional vehicles, new energy vehicles have become the best choice for the automotive industry to achieve green and environmentally friendly development with their advantages of no pollution, high energy utilization rate and low noise. In particular, in recent years, new energy vehicle technology has made major breakthroughs, and there are very mature and stable new energy vehicles on the market. As the new energy vehicle market continues to expand, the power supply technology for new energy vehicles has also become the focus of people's attention, especially the safety of power batteries, which has become an important indicator to ensure the driving safety of new energy vehicles.

[0003] When electric vehicles are currently charging, charging piles can only simply replenish the battery with electricity. Currently, charging piles can only collect total voltage, current and BMS communication data. In addition, in the existing national standard charging protocol, the voltage of the battery cell is not a mandatory item, and the battery performance analysis requires the battery cell voltage of the battery pack module. Many vehicles cannot obtain battery cell data through CAN communication on the charging gun, so it is difficult to accurately and comprehensively detect the health status of the vehicle's power battery. Therefore, when performing power battery health status detection, how to collect battery cell voltage to provide data support for the analysis model has become an urgent problem to be solved. Summary of the invention

[0004] The present invention is intended to provide an electric vehicle charging detection system to solve the technical problem of lack of accuracy and comprehensiveness in the detection results of the health status of the electric vehicle power battery.

[0005] To solve the above problems, the present invention adopts the following technical solutions: an electric vehicle charging detection system, comprising a central control module, and a data acquisition module, a power adjustment module, a self-diagnosis acquisition module, an analysis module, a communication module and a display module respectively connected to the central control module;

[0006] A data acquisition module, used to collect electric vehicle power battery data within a fixed time period to form a first data set, and send the first data set to the central control module;

[0007] A power regulation module is used to adjust the actual charging power of the charging pile according to the power request of the electric vehicle;

[0008] A self-diagnosis acquisition module, used for collecting battery-related data of the battery pack during the power battery charging process to form a second data set, and sending the second data set to the central control module;

[0009] The central control module includes a data storage unit and a data processing unit, wherein the data storage unit is used to store the first data set and the second data set; the data processing unit is used to package the first data set and the second data set to form a total data packet, and send the total data packet to the analysis module;

[0010] An analysis module is used to analyze and detect the total data packet, evaluate the health status of the power battery after obtaining the test results, and finally obtain the health status evaluation result of the power battery;

[0011] Communication module, used to provide communication channels between modules of the system;

[0012] The display module is used to display the health status assessment result in real time.

[0013] The principle and advantage of this solution are: in actual application, the data of the power battery during the charging process and the message data of the electric vehicle battery management system are collected through the data acquisition module, and the single cell voltage data of the battery pack is collected through the self-diagnosis acquisition module, and then the data is analyzed and detected by the analysis module, so as to accurately evaluate the health status of the power battery. Compared with the prior art, the present invention has the advantage of not only collecting the charging data of the power battery, but also being able to collect the single cell voltage data of the battery pack through the set self-diagnosis acquisition module, and using the data analysis model to analyze and detect the data, so as to accurately and comprehensively evaluate the health status of the electric vehicle, and ensure the driving safety of the electric vehicle.

[0014] Preferably, as an improvement, the power battery data includes the total output voltage of the charging pile, the total output current of the charging pile and the message data of the electric vehicle battery management system.

[0015] By collecting the output voltage and output current of the charging pile and combining it with the message data in the battery management system, we can not only clearly understand the current status of the power battery, but also make a comprehensive assessment of the health status of the power battery based on the historical operating data of the power battery, thereby improving the accuracy of the assessment results.

[0016] Preferably, as an improvement, the analysis and detection of the total data packet is to respectively perform a battery cell SOH detection, a battery cell consistency detection and a battery cell internal fault detection on the power battery according to the total data packet.

[0017] The SOH of a battery cell is an important indicator of battery performance, representing the current health status and directly affecting the remaining life of the battery pack. The consistency of the battery cell is a key factor affecting the life of the battery pack. The detection of internal faults in power battery cells is the key to battery system safety detection. Internal faults in cells such as negative electrode lithium plating and internal short circuits can lead to serious battery system safety issues. Therefore, performing these three tests on the power battery separately can comprehensively analyze and evaluate the health status of the power battery, thereby improving the accuracy and comprehensiveness of the evaluation results.

[0018] Preferably, as an improvement, when the central control module performs packaging processing on the first data set and the second data set, they are aggregated according to the same timestamp.

[0019] Aggregating the collected data according to the same timestamp rule can ensure the effectiveness of the power battery health status analysis and improve the accuracy of the power battery health status assessment results.

[0020] Preferably, as an improvement, the battery cell SOH detection is to detect the battery health of the battery using a detection model.

[0021] The SOH of a battery cell is an important indicator of battery performance. It represents the current health status and directly affects the remaining life of the battery pack. By performing battery cell SOH testing, the current health status of the power battery can be clearly analyzed, which is conducive to the evaluation of the overall safety of the power battery.

[0022] Preferably, as an improvement, the communication channel includes a wireless network channel and a data network channel; the data network channel is a 5G data network channel.

[0023] Wireless network channels and data network channels are used for information exchange between modules of the system, and the data network channel is selected as the currently optimal 5G data network, which not only ensures the convenience of information communication between modules, but also ensures the speed of information communication and improves the work efficiency of the system.

[0024] Preferably, as an improvement, the central control module also includes an emergency processing unit for cutting off the output power of the output end of the charging pile when a sudden failure of the power battery occurs.

[0025] When a power battery suddenly fails during the charging process, there will be a great safety risk if the charging pile continues to be charged. Therefore, an emergency processing unit is set up to cut off the output power of the charging pile output end in time when a failure occurs, thereby ensuring the safety of the charging pile and the power battery and avoiding safety accidents.

[0026] The present invention also provides an electric vehicle charging detection method, comprising the following steps:

[0027] Step S1, connecting the output end of the charging pile to the charging port of the electric vehicle, and after charging starts, the electric vehicle sends a charging power request to the charging pile;

[0028] Step S2, the power regulating module regulates the actual charging power of the charging pile according to the power request of the electric vehicle, and the charging pile charges the electric vehicle with this charging power;

[0029] Step S3, the data acquisition module collects the electric vehicle power battery data within a fixed time period and forms a first data set, and then sends the first data set to the central control module;

[0030] Step S4, the self-diagnosis acquisition module acquires battery-related data of the battery pack to form a second data set, and then sends the second data set to the central control module, the central control module aggregates the first data set and the second data set according to the same timestamp to form a total data packet, and sends the total data packet to the analysis module;

[0031] Step S5, the analysis module detects and analyzes the total data packet to obtain a first detection result, and then evaluates the health status of the power battery to obtain a health status evaluation result of the power battery, and displays it in the display module.

[0032] Through this method, not only can the historical operation data of the power battery and the charging data of the charging pile be utilized, but also the battery-related data of the battery pack can be collected, so as to realize a comprehensive and accurate analysis and detection of the health status of the power battery, ensure the accuracy of the power battery health status assessment results, and improve the safety of electric vehicle use.

[0033] Preferably, as an improvement, after evaluating the health status of the power battery, the analysis module provides the user with suggestions for slowing down the rate of battery performance degradation based on the evaluation results.

[0034] After evaluating the health status of the power battery, by adding a function to provide users with suggestions on slowing down the rate of battery performance degradation based on the evaluation results, users can not only know the current health status of the power battery, but also know scientific battery performance optimization suggestions, slow down the rate of battery performance degradation, and extend the service life of the power battery. This not only saves the replacement of power batteries, but also saves users the cost of using the vehicle.

[0035] Preferably, as an improvement, the power regulation module adjusts the charging power of the charging pile in real time according to the charging amount of the power battery.

[0036] Through this setting, the charging power of the charging pile can be dynamically adjusted, which can not only reduce the workload of the charging pile, but also increase the service life of the power battery, effectively improving the economic benefits of electric vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a system schematic diagram of Embodiment 1 of an electric vehicle charging detection system and method according to the present invention.

[0038] Figure 2 The present invention is a detection process diagram of a first embodiment of an electric vehicle charging detection system and method. DETAILED DESCRIPTION

[0039] The following is further described in detail through specific implementation methods:

[0040] The symbols in the drawings of the specification include: data acquisition module 1, power regulation module 2, self-diagnosis acquisition module 3, central control module 4, analysis module 5, communication module 6, display module 7, data storage unit 8, and data processing unit 9.

[0041] Embodiment 1:

[0042] This embodiment is basically as shown in the attached Figure 1 As shown: an electric vehicle charging detection system, including a central control module, and a data acquisition module, a power adjustment module, a self-diagnosis acquisition module, an analysis module, a communication module and a display module respectively connected to the central control module;

[0043] A data acquisition module, used to collect electric vehicle power battery data within a fixed time period to form a first data set, and send the first data set to the central control module;

[0044] A power regulation module is used to adjust the actual charging power of the charging pile according to the power request of the electric vehicle;

[0045] The self-diagnosis acquisition module, namely the OBD module, is powered by the electric vehicle. It mainly collects information from the CAN controller through the OBD port of the electric vehicle, and allows other devices to establish a connection with it through a hotspot. During the charging process of the power battery, the OBD module collects the electric vehicle status information message in real time, mainly collecting the battery cell voltage, serial number, probe temperature and serial number of the battery pack to form a second data set, and sends the second data set to the central control module.

[0046] The central control module includes a data storage unit and a data processing unit, wherein the data storage unit is used to store the first data set and the second data set; the data processing unit is used to package the first data set and the second data set to form a total data packet, and send the total data packet to the analysis module;

[0047] The analysis module is used to analyze and detect the total data packet, including battery cell SOH detection (health status detection), battery cell consistency detection and battery cell internal fault detection. After obtaining the test results, the health status of the power battery is evaluated, and finally the health status evaluation result of the power battery is obtained;

[0048] Communication module, used to provide 5G data network communication channels between modules of the system;

[0049] The display module is used to display the health status assessment results in real time.

[0050] As attached Figure 2 As shown, the present invention also provides an electric vehicle charging detection method, which includes the following steps when evaluating the health status of the power battery through the above system:

[0051] Step S1, connecting the output end of the charging pile to the charging port of the electric vehicle, and after charging starts, the electric vehicle sends a charging power request to the charging pile;

[0052] Step S2, the power regulating module regulates the actual charging power of the charging pile according to the power request of the electric vehicle, and the charging pile charges the electric vehicle with this charging power;

[0053] Step S3, the data acquisition module collects the electric vehicle power battery data within a fixed time period and forms a first data set, and then sends the first data set to the central control module;

[0054] Step S4, the self-diagnosis acquisition module acquires battery-related data of the battery pack to form a second data set, and then sends the second data set to the central control module, the central control module aggregates the first data set and the second data set according to the same timestamp to form a total data packet, and sends the total data packet to the analysis module;

[0055] Step S5, the analysis module detects and analyzes the total data packet to obtain a first detection result, and then evaluates the health status of the power battery to obtain a health status evaluation result of the power battery, and displays it in the display module.

[0056] By using the self-diagnosis acquisition module, the battery cell information of the power battery during the charging test is read through the on-board OBD interface, and then the collected charging voltage, current and battery pack message data uploaded by the BMS (battery management system) are combined and processed by the electrochemical analysis model in the analysis module to accurately and comprehensively evaluate the health status of the power battery, thereby ensuring the charging safety and use safety of the power battery.

[0057] The specific implementation process of this embodiment is as follows:

[0058] The first step is to connect the output charging gun of the charging pile to the charging interface of the electric vehicle, and choose to start charging on the charging pile. The electric vehicle sends a charging power request to the charging pile, and the charging pile performs a test charge on the power battery for no more than 5 minutes based on the charging power request.

[0059] In the second step, the data acquisition module collects the total output voltage of the charging pile, the total output current of the charging pile and the message data of the electric vehicle battery management system within the previous three months during the test charging time period, and summarizes the collected data to form a first data set, and then sends the first data set to the central control module.

[0060] In the third step, the self-diagnosis acquisition module collects data such as the battery cell voltage, serial number, probe temperature and serial number of the battery pack within 5 minutes and forms a second data set, and then sends the second data set to the central control module.

[0061] In the fourth step, the data storage unit of the central control module receives and stores the first data set and the second data set, and then the data processing unit aggregates the first data set and the second data set according to the same timestamp to form a total data packet, and sends the total data packet to the analysis module.

[0062] In the fifth step, the analysis module uses the electrochemical analysis model to perform battery cell SOH detection, battery cell consistency detection and battery cell internal fault detection on the total data packet to obtain a first detection result, and then accurately evaluates the health status of the power battery based on the first detection result to obtain an accurate and comprehensive health status evaluation result, which is displayed in the display module.

[0063] Step 6. After the evaluation is completed, the charging pile outputs the requested power to charge the power battery normally according to the charging power request of the electric vehicle.

[0064] Due to the increasing global greenhouse effect caused by fuel vehicles and the sharp decrease in the reserves of oil resources, new energy vehicles have returned to the spotlight, including hydrogen energy vehicles, solar vehicles and electric vehicles. Among them, electric vehicles have the highest attention and the fastest development speed. Especially after the policy of unlimited driving for electric vehicles came out, the demand for electric vehicles has increased sharply. As the use of electric vehicles increases, some problems have gradually been exposed, such as the small number of charging stations, charging difficulties, high accident rate of electric vehicles, and safety issues of power batteries. Among them, the safety of power batteries is the most concerned, because once a power battery fails, it is easy to cause its internal temperature to rise sharply, resulting in spontaneous combustion or explosion, posing a great threat to the personal safety of drivers and passengers. The current charging piles in the market can complete the charging work alone. In terms of the processing method of electric vehicle power battery safety detection, other specific equipment is required. One is to remove the power battery for detection, and the other is to replace the power battery regularly. These two methods are not only complicated, but also costly, which is not conducive to the adoption of the majority of electric vehicle users.

[0065] In this solution, a self-diagnosis acquisition module, namely, an OBD acquisition module, is added to the ordinary charging pile, so that the charging pile can collect data for power battery analysis, which is unexpected by conventional technology. By performing a charging test before the normal charging of the electric vehicle to detect the safety of the power battery, the added OBD acquisition module is used to collect the single cell data information of the battery pack during the power battery charging process, and the output voltage and current of the charging pile collected, as well as the battery pack message data uploaded by the BMS battery management system, the electrochemical analysis model in the analysis module is used to perform battery cell SOH detection, battery cell consistency detection and battery cell internal fault detection, respectively, so as to accurately and comprehensively evaluate the current health status of the power battery, obtain accurate detection results, accurately evaluate the safety of the power battery, and facilitate the safe use of electric vehicles. In addition, the entire charging detection process is short and will not occupy the normal charging time. The effective charging rate is 60% of the normal charging mode, which can not only complete the safety detection of the power battery and ensure the safety of the power battery, but also effectively ensure the charging efficiency of the power battery and improve the user experience of the charging pile.

[0066] Embodiment 2:

[0067] This embodiment is basically the same as the first embodiment, except that after the analysis module evaluates the health status of the power battery, it provides the user with suggestions for slowing down the rate of battery performance degradation based on the evaluation results, and displays the suggestions through the display module.

[0068] The specific implementation process of this embodiment is the same as that of the first embodiment, except that:

[0069] In the fifth step, the analysis module uses the electrochemical analysis model to perform battery cell SOH detection, battery cell consistency detection and battery cell internal fault detection on the total data packet to obtain a first detection result, and then accurately evaluates the health status of the power battery based on the first detection result to obtain an accurate and comprehensive health status evaluation result; at the same time, the analysis module provides users with suggestions on slowing down the rate of battery performance degradation based on the health status evaluation results of the power battery, such as avoiding sudden acceleration or extreme driving during use of the car, increasing the charging frequency of the electric vehicle, so that the power is always maintained within the range of 40%-80%, and the evaluation results and suggestions are displayed in the display module.

[0070] Conventional charging piles can only complete the charging task, without any other reasonable suggestions, and dedicated testing equipment can only complete the detection of power batteries and obtain the test results, but cannot give users reasonable car use suggestions based on the specific situation of the power battery, which makes the power battery in unreasonable use for a long time. However, after evaluating the health status of the electric vehicle power battery, this solution can also provide users with suggestions on how to slow down the degradation of battery performance based on the evaluation. Not only can users get scientific driving suggestions to ensure driving safety, but also the suggestions can extend the service life of the power battery, saving users the cost of replacing power batteries, and reducing the use of power batteries, avoiding the damage of a large number of power batteries to the environment, responding to the call for environmental protection, and making contributions to environmental protection.

[0071] Embodiment three:

[0072] This embodiment is basically the same as the first embodiment, except that when the charging pile is charging the power battery, the power regulation module adjusts the charging power of the charging pile in real time according to the charge amount of the power battery.

[0073] The specific implementation process of this embodiment is the same as that of the first embodiment, except that:

[0074] Step 6. After the evaluation is completed, the charging pile charges the power battery normally through the charging gun according to the charging power demand of the electric vehicle. When the power battery reaches 80% of the full charge, the power regulation module adjusts the charging power of the charging pile to 60% of the original power according to the current power of the power battery and the charging power demand, and continues to charge the power battery until the power battery is fully charged, then the charging is completed.

[0075] Power batteries generate a lot of heat when charging. The accumulation of heat will affect the safety of the power battery. In order to avoid safety threats caused by power battery failure, after the power battery is charged to 80%, the charging power is reduced for charging, thereby reducing the heat generated by the power battery. This can not only ensure the charging safety of the power battery and the charging pile, but also reduce the degree of dynamic changes inside the power battery through dynamic adjustment of the charging power, thereby extending the service life of the power battery.

[0076] The above is only an embodiment of the present invention, and the common knowledge such as the known specific technical solutions and / or characteristics in the solution is not described in detail here. It should be pointed out that for those skilled in the art, without departing from the technical solution of the present invention, several modifications and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. An electric vehicle charging detection system, Features: It includes a central control module, and a data acquisition module, a power adjustment module, a self-diagnosis acquisition module, an analysis module, a communication module and a display module respectively connected to the central control module; The data acquisition module is used to collect the total voltage and total current data of the electric vehicle power battery within a fixed time period to form a first data set, and send the first data set to the central control module; The power adjustment module is used to adjust the actual charging power of the charging pile according to the power request of the electric vehicle; The self-diagnosis acquisition module is used to collect all single-cell voltage data of the battery pack through the OBD port of the electric vehicle during the power battery charging process to form a second data set, and send the second data set to the central control module; The central control module comprises a data storage unit and a data processing unit, wherein the data storage unit is used to store the first data set and the second data set; the data processing unit; Used to package the first data set and the second data set to form a total data packet, and send the total data packet to an analysis module; The analysis module is used to analyze and detect the total data packet, evaluate the health status of the power battery after obtaining the detection result, and finally obtain the health status evaluation result of the power battery; The communication module is used to provide a communication channel between the modules of the system; The display module is used to display the health status assessment result in real time; The analyzing and testing of the total data packet is to respectively perform a battery cell SOH test, a battery cell consistency test and a battery cell internal fault test on the power battery according to the total data packet; Connect the output charging gun of the charging pile to the charging interface of the electric vehicle, and select to start charging on the charging pile. The electric vehicle sends a charging power request to the charging pile, and the charging pile performs a test charge on the power battery for no more than 5 minutes according to the charging power request; the data acquisition module collects the total output voltage of the charging pile, the total output current of the charging pile, and the message data of the electric vehicle battery management system within the previous 3 months during the test charging time period, and summarizes the collected data to form a first data set, and then sends the first data set to the central control module; The self-diagnosis acquisition module collects the battery cell voltage, serial number, probe temperature and serial number data of the battery pack within 5 minutes and forms a second data set, and then sends the second data set to the central control module; the data storage unit of the central control module receives and stores the first data set and the second data set, and then the data processing unit aggregates the first data set and the second data set according to the same timestamp to form a total data packet, and sends the total data packet to the analysis module; The analysis module uses an electrochemical analysis model to perform battery cell SOH detection, battery cell consistency detection and battery cell internal fault detection on the total data packet to obtain a first detection result, and then accurately evaluates the health status of the power battery based on the first detection result to obtain a health status evaluation result and display it in the display module; after the evaluation is completed, the charging pile outputs the requested power to charge the power battery normally based on the charging power request of the electric vehicle.

2. An electric vehicle charging detection system according to claim 1, Features: The power battery data includes the total output voltage of the charging pile, the total output current of the charging pile and the message data of the electric vehicle battery management system.

3. An electric vehicle charging detection system according to claim 1, Features: The self-diagnosis acquisition module collects information from the CAN controller through the electric vehicle OBD port, and allows other devices to establish connections with it through hotspots; during the power battery charging process, the self-diagnosis acquisition module collects the electric vehicle status information message in real time, mainly collecting the battery cell voltage, serial number, probe temperature and serial number of the battery pack to form a second data set.

4. An electric vehicle charging detection system according to claim 1, Features: When the central control module packages the first data set and the second data set, they are aggregated according to the same timestamp.

5. An electric vehicle charging detection system according to claim 3, Features: The battery cell SOH detection is to detect the battery health of the battery using a detection model.

6. An electric vehicle charging detection system according to claim 1, Features: The communication channel includes a wireless network channel and a data network channel; the data network channel is a 5G data network channel.

7. An electric vehicle charging detection system according to claim 1, Features: The central control module also includes an emergency processing unit for cutting off the output power of the charging pile output terminal when a sudden failure of the power battery occurs.

8. A method for detecting charging of an electric vehicle, It is characterized in that The electric vehicle charging detection system according to claim 1 comprises the following steps: Step S1, connecting the output end of the charging pile to the charging port of the electric vehicle, and after charging starts, the electric vehicle sends a charging power request to the charging pile; Step S2, the power regulating module regulates the actual charging power of the charging pile according to the power request of the electric vehicle, and the charging pile charges the electric vehicle with this charging power; Step S3, the data acquisition module collects the electric vehicle power battery data within a fixed time period and forms a first data set, and then sends the first data set to the central control module; Step S4, the self-diagnosis acquisition module acquires battery-related data of the battery pack to form a second data set, and then sends the second data set to the central control module, the central control module aggregates the first data set and the second data set according to the same timestamp to form a total data packet, and sends the total data packet to the analysis module; Step S5, the analysis module detects and analyzes the total data packet to obtain a first detection result, and then evaluates the health status of the power battery to obtain a health status evaluation result of the power battery, and displays it in the display module.

9. An electric vehicle charging detection method according to claim 8, Features: After evaluating the health status of the power battery, the analysis module provides the user with suggestions for slowing down the rate of battery performance degradation based on the evaluation results.

10. An electric vehicle charging detection method according to claim 8, Features: The power regulation module adjusts the charging power of the charging pile in real time according to the charging amount of the power battery.

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