Vehicle power battery self-diagnosis method and related device

Abstract

The application discloses a vehicle power battery self-diagnosis method and related equipment, and relates to the field of vehicle battery management, and mainly aims to solve the problem that there is currently a lack of a better battery test method formulated according to the use habits of different vehicles. The method comprises the following steps: acquiring the vehicle use habits of a target vehicle; determining a test period based on the vehicle use habits; and acquiring battery life test data of the vehicle under the condition that the vehicle is in a preset working condition and the test period is met. The application is used in the vehicle power battery self-diagnosis process.

Description

Technical Field

[0001] This invention relates to the field of vehicle battery management, and more particularly to a self-diagnostic method and related equipment for vehicle power batteries. Background Technology

[0002] For new energy vehicles, the State of Health (SOH) of the power battery is a crucial indicator. This parameter directly impacts the adaptability, accuracy, and safety of the Battery Management System (BMS) strategies, thus affecting overall vehicle performance and the safety of passengers and the vehicle itself. However, current methods primarily rely on rough estimates of the vehicle's power battery SOH, resulting in significant discrepancies with actual values. Therefore, accurately obtaining the SOH data for the power batteries of each new energy vehicle is a critical problem that needs to be solved. Summary of the Invention

[0003] In view of the above problems, the present invention provides a self-diagnostic method and related equipment for vehicle power batteries, the main purpose of which is to solve the problem of the lack of a better battery testing method tailored to the usage habits of different vehicles.

[0004] To address at least one of the aforementioned technical problems, in a first aspect, the present invention provides a self-diagnostic method for a vehicle power battery, the method comprising:

[0005] Obtain information about the target vehicle's usage habits;

[0006] The testing cycle was determined based on the aforementioned vehicle usage habits.

[0007] Under the condition that the vehicle is in the preset operating conditions and meets the above test cycle, obtain the vehicle's battery life test data.

[0008] Optionally, the aforementioned vehicle usage habits include at least one of the following: single driving distance, charging habits, and driving habits.

[0009] The aforementioned acquisition of the target vehicle's usage habits includes:

[0010] The system obtains at least one of the following: the single driving distance of the target vehicle, the charging habits, and the driving habits, wherein the charging habits include fast charging and slow charging, and the driving habits include smooth driving and sudden speed changes.

[0011] Optionally, the test cycle determined based on the aforementioned vehicle usage habits includes:

[0012] The test period is determined based on the aforementioned single driving distance of the target vehicle, wherein the aforementioned single driving distance is inversely proportional to the aforementioned test period.

[0013] Optionally, the above-mentioned determination of the test period based on the single driving distance of the target vehicle includes:

[0014] If the single driving distance of the target vehicle exceeds the first preset length, shorten the test cycle.

[0015] And / or,

[0016] If the number of times the target vehicle is over-drived exceeds a preset number, the test cycle is shortened. The over-driving refers to driving behavior where the distance of a single driving trip is greater than the second preset length but less than the first preset length, where the first preset length is greater than the second preset length.

[0017] Optionally, the test cycle determined based on the aforementioned vehicle usage habits includes:

[0018] Obtain the fast charging percentage and slow charging percentage of the target vehicle within a preset mileage;

[0019] If the fast charging ratio is greater than the preset fast charging ratio, obtain the difference between the fast charging ratio and the preset fast charging ratio.

[0020] The test cycle is determined based on the above difference, wherein the magnitude of the above difference is inversely proportional to the above test cycle.

[0021] Optionally, the test cycle determined based on the aforementioned vehicle usage habits includes:

[0022] Given that the target vehicle's driving habit is characterized by rapid speed changes, the rapid speed change coefficient is determined based on the target vehicle's rapid speed change value and the duration of the rapid speed change.

[0023] The test cycle is determined based on the aforementioned rapid speed change coefficient, wherein the magnitude of the aforementioned rapid speed change coefficient is inversely proportional to the aforementioned test cycle.

[0024] Optionally, the above methods also include:

[0025] Under the condition that the vehicle is in charging condition or static charging condition and meets the above test cycle, obtain the vehicle's battery life test data.

[0026] Upon obtaining the vehicle's battery life test data, the aforementioned battery life test data is sent to the cloud platform to obtain battery management strategies;

[0027] Upon receiving the aforementioned battery management strategy, the vehicle battery is controlled based on that strategy.

[0028] Secondly, embodiments of the present invention also provide a vehicle power battery self-diagnostic device, comprising:

[0029] The first acquisition unit is used to acquire the vehicle usage habits of the target vehicle;

[0030] The determination unit is used to determine the test cycle based on the aforementioned vehicle usage habits.

[0031] The second acquisition unit is used to acquire battery life test data of the vehicle when the vehicle is under preset operating conditions and meets the above-mentioned test cycle.

[0032] To achieve the above objectives, according to a third aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium comprising a stored program, wherein, when the program is executed by a processor, the steps of the above-described vehicle power battery self-diagnosis method are implemented.

[0033] To achieve the above objectives, according to a fourth aspect of the present invention, an electronic device is provided, comprising at least one processor and at least one memory connected to the processor; wherein the processor is configured to invoke program instructions in the memory to execute the steps of the above-described vehicle power battery self-diagnosis method.

[0034] By employing the above technical solution, the vehicle power battery self-diagnosis method and related equipment provided by this invention address the current lack of a better battery testing method tailored to the usage habits of different vehicles. This invention obtains the vehicle's usage habits; determines the testing cycle based on these habits; and acquires the vehicle's battery life test data when the vehicle is under preset operating conditions and meets the aforementioned testing cycle. In this solution, by monitoring vehicle usage habits to determine the testing cycle, a test command is issued during the specific testing cycle. Upon receiving the test command, the vehicle's power battery BMS initiates the available capacity test of the power battery at a suitable testing time, calculating the current State of Health (SOH), thereby realizing a personalized battery life testing method based on the usage habits of different vehicles.

[0035] Correspondingly, the vehicle power battery self-diagnostic device, equipment, and computer-readable storage medium provided in the embodiments of the present invention also have the above-mentioned technical effects.

[0036] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0037] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0038] Figure 1 A flowchart illustrating a self-diagnostic method for a vehicle power battery provided by an embodiment of the present invention is shown.

[0039] Figure 2 This diagram illustrates the composition of a vehicle power battery self-diagnostic device according to an embodiment of the present invention.

[0040] Figure 3 This diagram illustrates the composition of a vehicle power battery self-diagnostic electronic device according to an embodiment of the present invention. Detailed Implementation

[0041] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

[0042] To address the current lack of a better battery testing method tailored to the usage habits of different vehicles, this invention provides a self-diagnostic method for vehicle power batteries, such as... Figure 1 As shown, the method includes:

[0043] S101. Obtain the vehicle usage habits of the target vehicle;

[0044] For example, different vehicle usage habits can cause different levels of damage to the vehicle battery.

[0045] S102. Determine the test cycle based on the above-mentioned vehicle usage habits;

[0046] For example, if the vehicle's usage habits are poor and have a significant impact on the vehicle's battery, the test cycle will be shortened accordingly. If the vehicle's usage habits are good and have a smaller impact on the vehicle's battery, the test cycle will be extended accordingly. Therefore, this method uses the target vehicle's usage habits as the basis for determining the test cycle.

[0047] S103. Under the condition that the vehicle is in the preset operating conditions and meets the above test cycle, obtain the battery life test data of the vehicle.

[0048] For example, if the vehicle is in a preset operating condition, it proves that it is suitable to conduct a battery life test at this time, and if the above-mentioned test cycle is reached, the vehicle battery is tested to obtain battery life test data.

[0049] By employing the above technical solution, the vehicle power battery self-diagnosis method provided by this invention addresses the current lack of a better battery testing method tailored to the usage habits of different vehicles. This invention obtains the target vehicle's usage habits; determines the testing cycle based on these habits; and acquires the vehicle's battery life test data when the vehicle is under preset operating conditions and meets the aforementioned testing cycle. In this solution, by monitoring vehicle usage habits to determine the testing cycle, a test command is issued during the specific testing cycle. Upon receiving the test command, the vehicle's power battery BMS initiates the available capacity test of the power battery at a suitable testing time, calculating the current State of Health (SOH), thereby realizing a personalized battery life testing method based on the usage habits of different vehicles.

[0050] In one embodiment, the aforementioned vehicle usage habits include at least one of single driving distance, charging habits, and driving habits.

[0051] The aforementioned acquisition of the target vehicle's usage habits includes:

[0052] The system obtains at least one of the following: the single driving distance of the target vehicle, the charging habits, and the driving habits, wherein the charging habits include fast charging and slow charging, and the driving habits include smooth driving and sudden speed changes.

[0053] For example, the aforementioned single driving distance, charging habits, and driving habits are all important factors affecting vehicle battery life. Therefore, by determining the aforementioned single driving distance, whether the vehicle is fast-charging or slow-charging, and whether it is driving smoothly or with sudden speed changes, the degree of impact on the vehicle battery can be determined.

[0054] In one embodiment, determining the test cycle based on the aforementioned vehicle usage habits includes:

[0055] The test period is determined based on the aforementioned single driving distance of the target vehicle, wherein the aforementioned single driving distance is inversely proportional to the aforementioned test period.

[0056] For example, the longer the single driving distance, the greater the negative impact on the vehicle battery. Therefore, the above-mentioned single driving distance and the above-mentioned test cycle are inversely proportional. The longer the single driving distance, the shorter the above-mentioned test cycle. By shortening the test cycle, the frequency of battery detection is increased, ensuring that the battery health status is obtained in a timely manner.

[0057] In one embodiment, the determination of the test cycle based on the single driving distance of the target vehicle includes:

[0058] If the single driving distance of the target vehicle exceeds the first preset length, shorten the test cycle.

[0059] And / or,

[0060] If the number of times the target vehicle is over-drived exceeds a preset number, the test cycle is shortened. The over-driving refers to driving behavior where the distance of a single driving trip is greater than the second preset length but less than the first preset length, where the first preset length is greater than the second preset length.

[0061] For example, the first preset length can be the maximum driving distance defined by the user or the car manufacturer. If this threshold is exceeded, the vehicle battery will be more severely affected. Therefore, if the single driving distance of the target vehicle is greater than the first preset length, the test cycle can be shortened, or the battery test can be performed under preset conditions to obtain the battery health status as soon as possible.

[0062] For example, the second preset length can be the overload driving distance (i.e., excessive driving) defined by the user or the car manufacturer. If this threshold is exceeded for a long period of time, the vehicle battery will be severely affected. Therefore, if the number of times the target vehicle is over-driven is greater than the preset number, the test cycle is shortened to increase the detection frequency and ensure that the health status of the vehicle battery is obtained in a timely manner.

[0063] In one embodiment, determining the test cycle based on the aforementioned vehicle usage habits includes:

[0064] Obtain the fast charging percentage and slow charging percentage of the target vehicle within a preset mileage;

[0065] If the fast charging ratio is greater than the preset fast charging ratio, obtain the difference between the fast charging ratio and the preset fast charging ratio.

[0066] The test cycle is determined based on the above difference, wherein the magnitude of the above difference is inversely proportional to the above test cycle.

[0067] For example, many electric vehicles can currently be charged at home, also known as slow charging, which generally uses 220V voltage. Although the charging speed is slow, it causes less damage to the battery system and is suitable for overnight charging. However, if fast charging mode is used frequently, there are two possible consequences for battery damage: one is accelerated battery polarization; the other is that it may lead to crystallization in battery cells. Ultimately, it will have a significant impact on the battery life of the vehicle.

[0068] For example, if the fast charging ratio is greater than the preset fast charging ratio, it proves that the vehicle battery is very likely to be negatively affected by fast charging. Therefore, it is necessary to obtain the difference between the fast charging ratio and the preset fast charging ratio. The larger the difference, the more times fast charging is performed, and the more necessary it is to shorten the above test cycle to increase the detection frequency and ensure timely acquisition of the vehicle battery's health status.

[0069] In one embodiment, determining the test cycle based on the aforementioned vehicle usage habits includes:

[0070] Given that the target vehicle's driving habit is characterized by rapid speed changes, the rapid speed change coefficient is determined based on the target vehicle's rapid speed change value and the duration of the rapid speed change.

[0071] The test cycle is determined based on the aforementioned rapid speed change coefficient, wherein the magnitude of the aforementioned rapid speed change coefficient is inversely proportional to the aforementioned test cycle.

[0072] For example, during rapid vehicle acceleration, due to the high discharge rate, the battery needs to release a large amount of current in a short time. This inevitably accelerates the movement of lithium ions within the battery, causing a sharp rise in battery temperature. This can easily lead to inconsistencies among the cells within the battery pack, or cause some cells to over-discharge, thus affecting battery performance, shortening battery life, and even causing a fire due to over-discharge. Therefore, rapid acceleration can damage the power battery of an electric vehicle, and the same applies to rapid deceleration.

[0073] For example, if the target vehicle's driving habits involve frequent abrupt gear changes, a rapid gear change coefficient is determined based on the product of the target vehicle's rapid gear change value and the duration of the rapid gear change. Both the rapid gear change value and the duration of the rapid gear change are inversely proportional to the vehicle's battery life; that is, the larger the rapid gear change value, the greater the negative impact on battery life, and the longer the duration of the rapid gear change, the greater the negative impact on battery life. Therefore, the test cycle is determined based on the aforementioned rapid gear change coefficient. The larger the rapid gear change coefficient, the shorter the test cycle needs to be to increase the detection frequency and ensure timely acquisition of the vehicle battery's health status.

[0074] In one embodiment, the above method further includes:

[0075] Under the condition that the vehicle is in charging condition or static charging condition and meets the above test cycle, obtain the vehicle's battery life test data.

[0076] Upon obtaining the vehicle's battery life test data, the aforementioned battery life test data is sent to the cloud platform to obtain battery management strategies;

[0077] Upon receiving the aforementioned battery management strategy, the vehicle battery is controlled based on that strategy.

[0078] For example, the cloud-based big data platform combines vehicle mileage, charge / discharge cycles, driving habits, and battery life test data to calculate and determine the most suitable battery management strategy, and then sends it to the BMS for strategy update.

[0079] Furthermore, some embodiments of this method are listed below:

[0080] Example 1

[0081] For private users' vehicles, with a range of 400-600km on a single full charge, primarily used for urban commuting, fast charging is performed every two weeks, and daily driving often involves aggressive acceleration and deceleration. Therefore, a State of Health (SOH) test command is issued every 50 charges or every 1000 kilometers (whichever comes first). Upon receiving the command, the battery management system (BMS) will initiate a test to determine the battery's usable capacity.

[0082] Example 2

[0083] For private users, the range on a single full charge is 400-600km. Users primarily commute within the city, charging slowly every two weeks, and driving gently with little aggressive driving. A State of Health (SOH) test command is issued every 100 charges or 5000 kilometers (whichever comes first). Upon receiving the command, the battery management system (BMS) will initiate a test to determine the battery's usable capacity.

[0084] Example 3

[0085] For private or commercial vehicles with a single full charge range exceeding 600km, primarily used for short to medium distances, fast charging every two weeks, and frequent aggressive driving involving rapid acceleration and deceleration, a State of Health (SOH) test command is issued every 50 charges or 2000 kilometers (whichever comes first). Upon receiving the command, the battery management system (BMS) will initiate a test to assess the battery's usable capacity.

[0086] Example 4

[0087] For private or commercial vehicles with a single full charge range exceeding 600km, primarily used for short to medium distances, slow charging every two weeks, and gentle daily driving with little aggressive driving, a State of Health (SOH) test command is issued every 50 charges or 5000 kilometers (whichever comes first). Upon receiving the command, the battery management system (BMS) will initiate a test to assess the battery's usable capacity.

[0088] Example 5

[0089] For operational vehicles with a single full charge range of 300-500km, requiring fast charging once a day and frequent aggressive driving involving rapid acceleration and deceleration, a State of Health (SOH) test command is issued every 50 charges or every 2000 kilometers (whichever comes first). Upon receiving the command, the power battery BMS will initiate a test to determine the battery's usable capacity.

[0090] Example 6

[0091] For operational vehicles, the range after a single full charge is 300-500km. They are fast-charged once a day, and daily driving is gentle with little aggressive driving. A State of Health (SOH) test command is issued every 100 charges or every 5000 kilometers (whichever comes first). Upon receiving the command, the battery management system (BMS) will initiate a test to determine the battery's usable capacity.

[0092] Example 7

[0093] Hybrid vehicles undergo fast charging once a day, and daily driving often involves aggressive acceleration and deceleration. Therefore, a State of Health (SOH) test command is issued every 50 charges. Upon receiving the command, the battery management system (BMS) will initiate a test to determine the battery's usable capacity.

[0094] Example 8

[0095] Hybrid vehicles are slow-charged once a day and driven gently with little aggressive driving. The platform issues a State of Health (SOH) test command every 100 charges, and the battery management system (BMS) initiates a test to determine the battery's usable capacity upon receiving the command.

[0096] Example 9

[0097] Assume a certain model of pure electric vehicle has a battery capacity of 60-80 kWh and a range of 500 km on a single full charge. The user primarily uses it for urban commuting and charges it every two weeks. After the vehicle has completed 50 full charges or traveled 2000 km, a State of Health (SOH) test command is issued. Upon receiving the command, the Battery Management System (BMS) will select an overnight period during a full charge to conduct the available capacity test. The test procedure is as follows:

[0098] 1. Fully charge the battery according to the charging schedule provided by the battery manufacturer (the charging schedule can be a fixed rate, such as 0.1C, 1 / 3C, 0.5C or 1C; or a staged variable rate charging schedule can be used).

[0099] 2. After fully charging, let it stand for 5-60 minutes;

[0100] 3. Then discharge the battery according to the discharge rate provided by the battery manufacturer, and the discharged electricity will be directly returned to the power grid;

[0101] 4. Calculate the SOH of the power battery based on the discharged capacity;

[0102] 5. Send the SOH to the cloud big data platform and simultaneously calculate the most suitable battery management strategy.

[0103] 6. BMS performs policy updates.

[0104] 7. After discharging, execute the user's charging command to charge the vehicle.

[0105] Example 10

[0106] Assume a certain model of pure electric vehicle has a battery capacity of 60-80 kWh and a range of 500 km on a single full charge. The user primarily uses it for urban commuting and charges it every two weeks. After the vehicle has completed 50 full charges or traveled 2000 km, a State of Health (SOH) test command is issued. Upon receiving the command, the Battery Management System (BMS) will select an overnight period during a full charge to conduct the available capacity test. The test procedure is as follows:

[0107] 1. The power battery system consists of two battery modules, which can be connected in parallel or in series (or there can be 4, 6, 8, or 10 battery modules);

[0108] 2. Before charging, the two battery modules are disconnected;

[0109] 3. Fully charge one of the battery modules A according to the charging protocol provided by the battery manufacturer (the charging protocol can be a fixed rate, such as 0.1C, 1 / 3C, 0.5C or 1C; or a phased variable rate charging protocol can be used).

[0110] 4. After fully charging, let it stand for 5-60 minutes;

[0111] 5. Connect the two battery modules;

[0112] 6. Then, according to the discharge rate provided by the battery manufacturer, battery module A discharges another battery module B, and the discharged electricity is directly returned to the power grid.

[0113] 7. Calculate the SOH of battery module A based on the released capacity;

[0114] 8. Following steps 2-7, test the SOH of battery module B;

[0115] 9. Send the SOH to the cloud big data platform and simultaneously calculate the most suitable battery management strategy.

[0116] 10. BMS performs policy updates;

[0117] 11. After discharging, restore the original circuit connection and execute the user's charging command to charge the vehicle.

[0118] Example 11

[0119] Assume a certain model of pure electric vehicle has a battery capacity of 50-80 kWh, a range of 500 km on a single full charge, and the user primarily uses it for urban commuting, charging it every two weeks. After 50 full charges or 2000 km of driving, a State of Health (SOH) test command is issued. Upon receiving the command, the Battery Management System (BMS) reminds the user to take the vehicle to an authorized service center for maintenance. The maintenance includes a usable capacity test, and the test procedure is as follows:

[0120] 1. Fully charge the battery according to the charging schedule provided by the battery manufacturer (the charging schedule can be a fixed rate, such as 0.1C, 1 / 3C, 0.5C or 1C; or a staged variable rate charging schedule can be used).

[0121] 2. After fully charging, let it stand for 5-60 minutes;

[0122] 3. Then discharge the battery according to the discharge rate provided by the battery manufacturer, and the discharged electricity will be directly returned to the power grid;

[0123] 4. Calculate the SOH of the power battery based on the discharged capacity;

[0124] 5. Send the SOH to the cloud big data platform and simultaneously calculate the most suitable battery management strategy.

[0125] 6. BMS performs policy updates.

[0126] 7. After discharging, execute the user's charging command to charge the vehicle.

[0127] Example Twelve

[0128] Assume a certain model of pure electric vehicle has a battery capacity of 50-80 kWh, a range of 500 km on a single full charge, and the user primarily uses it for urban commuting, charging it every two weeks. After 50 full charges or 2000 km of driving, a State of Health (SOH) test command is issued. Upon receiving the command, the Battery Management System (BMS) reminds the user to take the vehicle to an authorized service center for maintenance. The maintenance includes a usable capacity test, and the test procedure is as follows:

[0129] 1. The power battery system consists of two battery modules, which can be connected in parallel or in series (or there can be 4, 6, 8, or 10 battery modules);

[0130] 2. Before charging, the two battery modules are disconnected;

[0131] 3. Fully charge one of the battery modules A according to the charging protocol provided by the battery manufacturer (the charging protocol can be a fixed rate, such as 0.1C, 1 / 3C, 0.5C or 1C; or a phased variable rate charging protocol can be used).

[0132] 4. After fully charging, let it stand for 5-60 minutes;

[0133] 5. Connect the two battery modules;

[0134] 6. Then, according to the discharge rate provided by the battery manufacturer, battery module A discharges another battery module B, and the discharged electricity is directly returned to the power grid.

[0135] 7. Calculate the SOH of battery module A based on the released capacity;

[0136] 8. Following steps 2-7, test the SOH of battery module B;

[0137] 9. Send the SOH to the cloud big data platform and simultaneously calculate the most suitable battery management strategy.

[0138] 10. BMS performs policy updates;

[0139] 11. After discharging, restore the original circuit connection and execute the user's charging command to charge the vehicle.

[0140] It is understandable that the parameters for the above test cycle depend on the specific circumstances and are not specifically limited. The above SOH test command can also be issued by the cloud-based big data platform based on vehicle usage habits.

[0141] Furthermore, as a response to the above Figure 1 In addition to the implementation of the method shown, this embodiment of the invention also provides a vehicle power battery self-diagnostic device for the above-mentioned... Figure 1 The method shown is implemented accordingly. This device embodiment corresponds to the foregoing method embodiment. For ease of reading, this device embodiment will not repeat the details of the foregoing method embodiment, but it should be clear that the device in this embodiment can implement all the contents of the foregoing method embodiment. Figure 2 As shown, the device includes: a first acquisition unit 21, a determination unit 22, and a second acquisition unit 23, wherein...

[0142] The first acquisition unit 21 is used to acquire the vehicle usage habits of the target vehicle;

[0143] Determining unit 22 is used to determine the test cycle based on the aforementioned vehicle usage habits;

[0144] The second acquisition unit 23 is used to acquire battery life test data of the vehicle when the vehicle is under preset operating conditions and meets the above-mentioned test cycle.

[0145] For example, the aforementioned vehicle usage habits include at least one of the following: single driving distance, charging habits, and driving habits.

[0146] The aforementioned acquisition of the target vehicle's usage habits includes:

[0147] The system obtains at least one of the following: the single driving distance of the target vehicle, the charging habits, and the driving habits, wherein the charging habits include fast charging and slow charging, and the driving habits include smooth driving and sudden speed changes.

[0148] For example, the above-mentioned determination of the test cycle based on the vehicle usage habits includes:

[0149] The test period is determined based on the aforementioned single driving distance of the target vehicle, wherein the aforementioned single driving distance is inversely proportional to the aforementioned test period.

[0150] For example, the above-mentioned determination of the test cycle based on the single driving distance of the target vehicle includes:

[0151] If the single driving distance of the target vehicle exceeds the first preset length, shorten the test cycle.

[0152] And / or,

[0153] If the number of times the target vehicle is over-drived exceeds a preset number, the test cycle is shortened. The over-driving refers to driving behavior where the distance of a single driving trip is greater than the second preset length but less than the first preset length, where the first preset length is greater than the second preset length.

[0154] For example, the above-mentioned determination of the test cycle based on the vehicle usage habits includes:

[0155] Obtain the fast charging percentage and slow charging percentage of the target vehicle within a preset mileage;

[0156] If the fast charging ratio is greater than the preset fast charging ratio, obtain the difference between the fast charging ratio and the preset fast charging ratio.

[0157] The test cycle is determined based on the above difference, wherein the magnitude of the above difference is inversely proportional to the above test cycle.

[0158] For example, the above-mentioned determination of the test cycle based on the vehicle usage habits includes:

[0159] Given that the target vehicle's driving habit is characterized by rapid speed changes, the rapid speed change coefficient is determined based on the target vehicle's rapid speed change value and the duration of the rapid speed change.

[0160] The test cycle is determined based on the aforementioned rapid speed change coefficient, wherein the magnitude of the aforementioned rapid speed change coefficient is inversely proportional to the aforementioned test cycle.

[0161] For example, the above-mentioned unit is also used for:

[0162] Under the condition that the vehicle is in charging condition or static charging condition and meets the above test cycle, obtain the vehicle's battery life test data.

[0163] Upon obtaining the vehicle's battery life test data, the aforementioned battery life test data is sent to the cloud platform to obtain battery management strategies;

[0164] Upon receiving the aforementioned battery management strategy, the vehicle battery is controlled based on that strategy.

[0165] By employing the above technical solution, the vehicle power battery self-diagnostic device provided by this invention addresses the current lack of a better battery testing method tailored to the usage habits of different vehicles. This invention obtains the target vehicle's usage habits; determines the testing cycle based on these habits; and acquires the vehicle's battery life test data when the vehicle is under preset operating conditions and meets the aforementioned testing cycle. In this solution, by monitoring vehicle usage habits to determine the testing cycle, a test command is issued during the specific testing cycle. Upon receiving the test command, the vehicle's power battery BMS initiates the available capacity test of the power battery at a suitable testing time, calculating the current State of Health (SOH), thereby realizing a personalized battery life testing method based on the usage habits of different vehicles.

[0166] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and by adjusting kernel parameters, a self-diagnostic method for vehicle power batteries can be implemented. This addresses the current lack of a better battery testing method tailored to the usage habits of different vehicles.

[0167] This invention provides a computer-readable storage medium including a stored program that, when executed by a processor, implements the aforementioned vehicle power battery self-diagnosis method.

[0168] This invention provides a processor for running a program, wherein the program executes the vehicle power battery self-diagnosis method.

[0169] This invention provides an electronic device, which includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the vehicle power battery self-diagnosis method described above.

[0170] This invention provides an electronic device 30, such as... Figure 3 As shown, the electronic device includes at least one processor 301, and at least one memory 302 and bus 303 connected to the processor; wherein, the processor 301 and the memory 302 communicate with each other through the bus 303; the processor 301 is used to call program instructions in the memory to execute the above-mentioned vehicle power battery self-diagnosis method.

[0171] The smart electronic devices mentioned in this article can be PCs, tablets, mobile phones, etc.

[0172] This application also provides a computer program product, which, when executed on a process management electronic device, is suitable for executing a program that initializes the following method steps:

[0173] Obtain information about the target vehicle's usage habits;

[0174] The testing cycle was determined based on the aforementioned vehicle usage habits.

[0175] Under the condition that the vehicle is in the preset operating conditions and meets the above test cycle, obtain the vehicle's battery life test data.

[0176] Furthermore, the aforementioned vehicle usage habits include at least one of the following: single driving distance, charging habits, and driving habits.

[0177] The aforementioned acquisition of the target vehicle's usage habits includes:

[0178] The system obtains at least one of the following: the single driving distance of the target vehicle, the charging habits, and the driving habits, wherein the charging habits include fast charging and slow charging, and the driving habits include smooth driving and sudden speed changes.

[0179] Furthermore, the test cycle determined based on the aforementioned vehicle usage habits includes:

[0180] The test period is determined based on the aforementioned single driving distance of the target vehicle, wherein the aforementioned single driving distance is inversely proportional to the aforementioned test period.

[0181] Furthermore, the aforementioned determination of the test cycle based on the target vehicle's single driving distance includes:

[0182] If the single driving distance of the target vehicle exceeds the first preset length, shorten the test cycle.

[0183] And / or,

[0184] If the number of times the target vehicle is over-drived exceeds a preset number, the test cycle is shortened. The over-driving refers to driving behavior where the distance of a single driving trip is greater than the second preset length but less than the first preset length, where the first preset length is greater than the second preset length.

[0185] Furthermore, the test cycle determined based on the aforementioned vehicle usage habits includes:

[0186] Obtain the fast charging percentage and slow charging percentage of the target vehicle within a preset mileage;

[0187] If the fast charging ratio is greater than the preset fast charging ratio, obtain the difference between the fast charging ratio and the preset fast charging ratio.

[0188] The test cycle is determined based on the above difference, wherein the magnitude of the above difference is inversely proportional to the above test cycle.

[0189] Furthermore, the test cycle determined based on the aforementioned vehicle usage habits includes:

[0190] Given that the target vehicle's driving habit is characterized by rapid speed changes, the rapid speed change coefficient is determined based on the target vehicle's rapid speed change value and the duration of the rapid speed change.

[0191] The test cycle is determined based on the aforementioned rapid speed change coefficient, wherein the magnitude of the aforementioned rapid speed change coefficient is inversely proportional to the aforementioned test cycle.

[0192] Furthermore, the above methods also include:

[0193] Under the condition that the vehicle is in charging condition or static charging condition and meets the above test cycle, obtain the vehicle's battery life test data.

[0194] Upon obtaining the vehicle's battery life test data, the aforementioned battery life test data is sent to the cloud platform to obtain battery management strategies;

[0195] Upon receiving the aforementioned battery management strategy, the vehicle battery is controlled based on that strategy.

[0196] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0197] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0198] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0199] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0200] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0201] This application also provides a computer program product, which includes computer software instructions that, when executed on a processing device, cause the processing device to perform actions such as... Figure 1 The control flow of the memory in the corresponding embodiment.

[0202] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0203] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0204] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0205] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0206] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0207] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0208] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A self-diagnostic method for a vehicle power battery, characterized in that, include: Obtain information about the target vehicle's usage habits; The testing cycle is determined based on the vehicle usage habits described. Under the condition that the vehicle is in a preset operating condition and meets the test cycle, acquire the vehicle's battery life test data; The vehicle usage habits mentioned include at least one of the following: single driving distance, charging habits, and driving habits. The acquisition of the target vehicle's usage habits includes: The system acquires at least one of the following: the single driving distance of the target vehicle, the charging habits, and the driving habits: the charging habits include fast charging and slow charging, and the driving habits include smooth driving and rapid speed change driving. The determination of the test cycle based on the vehicle usage habits includes: The test period is determined based on the single driving distance of the target vehicle, wherein the single driving distance is inversely proportional to the test period. The determination of the test cycle based on the single driving distance of the target vehicle includes: If the single driving distance of the target vehicle is greater than the first preset length, the test cycle is shortened; And / or, If the number of times the target vehicle is over-drived is greater than a preset number, the test cycle is shortened. The over-driving refers to driving behavior where the distance of a single driving trip is greater than a second preset length but less than a first preset length, where the first preset length is greater than the second preset length.

2. The method according to claim 1, characterized in that, The determination of the test cycle based on the vehicle usage habits includes: Obtain the fast charging percentage and slow charging percentage of the target vehicle within a preset mileage; If the fast charging ratio is greater than the preset fast charging ratio, obtain the difference between the fast charging ratio and the preset fast charging ratio; The test period is determined based on the difference, wherein the magnitude of the difference is inversely proportional to the test period.

3. The method according to claim 1, characterized in that, The determination of the test cycle based on the vehicle usage habits includes: When the target vehicle's driving habit is to change speed rapidly, the rapid speed change coefficient is determined based on the target vehicle's rapid speed change value and the duration of the rapid speed change. The test cycle is determined based on the rapid speed change coefficient, wherein the magnitude of the rapid speed change coefficient is inversely proportional to the test cycle.

4. The method according to claim 1, characterized in that, Also includes: Under the condition that the vehicle is in charging condition or static charging condition and meets the test cycle, the battery life test data of the vehicle is obtained. Upon obtaining vehicle battery life test data, the battery life test data is sent to a cloud platform to obtain battery management strategies; Upon receiving the battery management strategy, the vehicle battery is controlled based on the battery management strategy.

5. A self-diagnostic device for a vehicle power battery, characterized in that, include: The first acquisition unit is used to acquire the vehicle usage habits of the target vehicle; A determining unit is used to determine the test cycle based on the vehicle usage habits; The second acquisition unit is used to acquire battery life test data of the vehicle when the vehicle is under preset operating conditions and the test cycle is met. The vehicle usage habits mentioned include at least one of the following: single driving distance, charging habits, and driving habits. The acquisition of the target vehicle's usage habits includes: The system acquires at least one of the following: the single driving distance of the target vehicle, the charging habits, and the driving habits: the charging habits include fast charging and slow charging, and the driving habits include smooth driving and rapid speed change driving. The determination of the test cycle based on the vehicle usage habits includes: The test period is determined based on the single driving distance of the target vehicle, wherein the single driving distance is inversely proportional to the test period. The determination of the test cycle based on the single driving distance of the target vehicle includes: If the single driving distance of the target vehicle is greater than the first preset length, the test cycle is shortened; And / or, If the number of times the target vehicle is over-drived is greater than a preset number, the test cycle is shortened. The over-driving refers to driving behavior where the distance of a single driving trip is greater than a second preset length but less than a first preset length, where the first preset length is greater than the second preset length.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed by a processor, it implements the steps of the vehicle power battery self-diagnosis method as described in any one of claims 1 to 4.

7. An electronic device, characterized in that, The electronic device includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the steps of the vehicle power battery self-diagnosis method as described in any one of claims 1 to 4.

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