Stock electric vehicle battery maintenance method and system and computer readable storage medium

Abstract

The embodiment of the invention discloses a stock electric vehicle battery maintenance method and system and a computer readable storage medium. The method comprises the steps that a maintenance instruction which is sent by a user side and carries vehicle information and / or battery information of a to-be-maintained vehicle is received; matching a pre-stored battery maintenance scheme based on the vehicle information and / or the battery information; and if the matching is successful, obtaining the matched battery maintenance scheme as the battery maintenance scheme of the to-be-maintained vehicle. According to the stock electric vehicle battery maintenance method provided by the invention, the battery maintenance scheme highly corresponding to the stock electric vehicle can be efficiently generated, the service life of the battery of the electric vehicle is prolonged, and the safety of the battery of the stock electric vehicle is improved.

Description

Technical Field

[0001] The present application relates to the technical field of new energy electric vehicles, and in particular to a method, system and computer-readable storage medium for maintaining batteries of existing electric vehicles. Background Art

[0002] Batteries are the core components of new energy vehicles, and battery maintenance is a key factor in ensuring their performance and lifespan. Battery maintenance refers to optimizing battery performance, extending battery life, and improving battery safety through technical means such as managing the battery's charge and discharge frequency, temperature, and charging method during use.

[0003] Currently, there are many intelligent battery health maintenance solutions, but they are only targeted at the latest new energy vehicles at the time the solutions are established. There is still a lack of solutions to modify electric vehicles that have already been put into use on the market to provide intelligent battery maintenance for existing electric vehicles. Summary of the Invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a method, system, and computer-readable storage medium for maintaining existing electric vehicle batteries to address the current lack of maintenance solutions for existing electric vehicle batteries already in use.

[0005] In a first aspect, the present application provides a method for maintaining existing electric vehicle batteries, the method comprising:

[0006] receiving a maintenance instruction sent by a user terminal and carrying vehicle information and / or battery information of a vehicle to be maintained;

[0007] Matching a pre-stored battery maintenance plan based on vehicle information and / or battery information;

[0008] If the matching is successful, the matched battery maintenance plan is obtained as the battery maintenance plan for the vehicle to be maintained.

[0009] The battery maintenance method for existing trams provided in the present application, after receiving the maintenance instruction sent by the user, matches the corresponding battery maintenance plan from the pre-stored battery maintenance plans according to the vehicle information and / or battery information as the battery maintenance plan for the vehicle to be maintained. It can efficiently generate a battery maintenance plan that has a strong correspondence with the existing trams, extend the battery service life of the trams, and improve the battery safety of the existing trams.

[0010] In one embodiment of the above-mentioned method for maintaining the battery of an existing electric vehicle,

[0011] The pre-stored battery maintenance plan includes a general battery maintenance plan stored in the database of the cloud data platform, and battery maintenance plans corresponding to different vehicle models;

[0012] After obtaining the matched battery maintenance plan and setting it as the battery maintenance plan for the vehicle to be maintained, the method further includes:

[0013] The battery maintenance plan of the vehicle to be maintained is sent to the on-board system of the vehicle to be maintained.

[0014] The cloud data platform's database pre-stores general battery maintenance plans, as well as battery maintenance plans corresponding to different vehicle models, which have a wide range of applicability and high applicability for vehicle battery maintenance.

[0015] In one embodiment of the above-mentioned method for maintaining the batteries of existing electric vehicles, the method further comprises:

[0016] Retrieving battery maintenance data of the same batch based on the vehicle information and / or the battery information;

[0017] Determining whether the differences among batteries in the same batch meet preset requirements based on the battery maintenance data of the same batch;

[0018] If so, the matched battery maintenance plan is obtained as the battery maintenance plan for the vehicle to be maintained.

[0019] When the cloud data platform matches the corresponding battery maintenance plan from the database based on at least one of the vehicle information and battery information, it retrieves the battery maintenance data of the same batch based on at least one of the vehicle model and battery model to make a difference judgment to determine whether the currently stored battery maintenance plan of the same batch of batteries is referenceable. If the differences between the batteries of the same batch are small, the matched corresponding battery maintenance plan is adopted, and the obtained battery maintenance plan is more accurate.

[0020] In one embodiment of the above-mentioned method for maintaining existing electric vehicle batteries, if it is determined based on the battery maintenance data of the same batch that the differences of the batteries in the same batch do not meet the preset requirements, the method further includes:

[0021] Sending battery test instructions to the vehicle system to obtain the vehicle's battery test data;

[0022] A battery maintenance plan is generated based on the battery test data of the vehicle and preset plan generation rules.

[0023] When the differences among batteries from the same batch do not meet the preset requirements, the matched battery maintenance plan has little reference value and cannot be used directly. A battery test command is sent to the vehicle system to obtain the vehicle's battery test data, and a battery maintenance plan is generated based on the battery test data to avoid using a battery maintenance plan with low reference value due to the large differences among batteries from the same batch. It is more accurate to generate a battery maintenance plan based on the current battery test data.

[0024] In one embodiment of the above-mentioned method for maintaining batteries of existing electric vehicles, the battery test data is obtained by the on-board system receiving and processing data transmitted by on-board sensors.

[0025] The battery test data is received and processed by the vehicle system from the data transmitted by the vehicle sensors, which can more accurately reflect the current health status of the vehicle battery.

[0026] In one embodiment of the above-mentioned method for maintaining the stock electric vehicle battery, the maintenance instruction carries a test instruction;

[0027] Sending the test instruction to the vehicle system;

[0028] receiving battery test data of the vehicle acquired and transmitted by the vehicle-mounted system according to the test instruction;

[0029] A battery maintenance plan is generated based on the battery test data of the vehicle and preset plan generation rules.

[0030] When a maintenance instruction initiated by the user contains a test instruction, the test instruction is directly initiated to the vehicle. All battery data is obtained through the test, and a more accurate battery maintenance plan can be generated.

[0031] In one embodiment of the above-mentioned method for maintaining the batteries of existing electric vehicles, the method further comprises:

[0032] The vehicle model, the battery model, the battery test data, and the battery maintenance plan generated based on the battery test data are stored in association.

[0033] After the test, the vehicle model, battery model and battery test data, as well as the battery maintenance plan generated based on the battery test data, are stored in association, which can be used as a reference for obtaining battery test data and battery maintenance plans when other vehicles with the same vehicle model and battery model undergo battery maintenance.

[0034] In one embodiment of the above-mentioned method for maintaining batteries of existing electric vehicles, the battery maintenance plan includes at least battery life prediction data; the method further includes:

[0035] Determining whether the battery needs to be scrapped based on the battery life prediction data;

[0036] If not, sending the battery maintenance plan to the vehicle system for the vehicle system to update the battery management system;

[0037] If so, the scrapping suggestion information and scrapping location information are sent to the vehicle system.

[0038] After the battery maintenance plan is generated, it is determined whether the battery needs to be scrapped based on the battery life prediction data. If the battery needs to be scrapped, the scrapping recommendation information and scrapping location information are sent to the vehicle system. If the battery does not need to be scrapped, the battery maintenance plan is sent to the vehicle system to update the battery management system, so that the vehicle battery can be maintained in a timely and effective manner.

[0039] In a second aspect, the present application provides a system for maintaining batteries in existing electric vehicles, the system comprising:

[0040] a receiving module, configured to receive a maintenance instruction sent by a user terminal and carrying vehicle information and / or battery information of a vehicle to be maintained;

[0041] a matching module, configured to match a pre-stored battery maintenance plan based on the vehicle information and / or the battery information;

[0042] The generating module is used to obtain the matched battery maintenance plan as the battery maintenance plan for the vehicle to be maintained after the matching module successfully matches.

[0043] In a third aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for maintaining the batteries of existing electric vehicles as described in any one of the first aspects.

[0044] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The disclosure of this application will be more easily understood with reference to the accompanying drawings. Those skilled in the art will readily appreciate that these drawings are for illustrative purposes only and are not intended to limit the scope of protection of this application. Furthermore, similar numbers in the figures represent similar components, where:

[0046] Figure 1 This is a flow chart of a method for maintaining existing electric vehicle batteries provided by one embodiment of the present application;

[0047] Figure 2 This is a structural diagram of a battery maintenance system for existing electric vehicles provided by one embodiment of the present application;

[0048] Figure 3 This is an architectural diagram of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0049] Some embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application and are not intended to limit the scope of protection of the present application.

[0050] As mentioned in the background, batteries are a core component of trams, and battery maintenance is crucial for their safe operation. Current tram maintenance plans are designed only for new models that are about to be released, but there is still a lack of intelligent battery maintenance solutions for older models already in service.

[0051] In order to solve the above problems, the present application creatively proposes a method, system and computer-readable storage medium for maintaining existing electric vehicle batteries to address the current lack of solutions for maintaining existing electric vehicle batteries that have been put into use.

[0052] The present application will be described in detail below through specific embodiments.

[0053] Specifically, the present application provides a battery maintenance architecture for existing electric vehicles, including an on-board system and a cloud data platform.

[0054] The onboard system is installed on existing electric vehicles. These vehicles are equipped with sensors that monitor data required for battery testing, such as temperature sensors for monitoring battery temperature. The onboard system connects to the sensor signals to obtain sensor monitoring data. For example, the onboard system obtains speed, mileage, and battery temperature data transmitted by sensors installed on the existing electric vehicles. Of course, the onboard system can also obtain data such as battery capacity transmitted by sensors installed on the existing electric vehicles, depending on the configuration of the existing electric vehicles.

[0055] The cloud data platform stores a massive amount of existing tram maintenance data, general battery maintenance plans, and battery maintenance plans corresponding to different vehicle models. The existing tram maintenance data includes vehicle model, battery model, service life, battery charging records, etc. The battery maintenance plan associates the matching battery model with the vehicle model. The cloud data platform has a big data model that can match the corresponding battery maintenance plan from the stored general battery maintenance plan and battery maintenance plan according to the vehicle model or battery model.

[0056] The present application also provides a method for maintaining the battery of an existing electric vehicle. Figure 1 As shown, the method includes:

[0057] S110: Receive a maintenance instruction sent by a user terminal, which carries vehicle information and / or battery information of a vehicle to be maintained.

[0058] The user terminal can be an on-board terminal or a terminal that is connected to the on-board system data and can obtain battery monitoring parameters and battery charging records stored in the on-board system, such as a mobile terminal such as a mobile phone or tablet computer. This application does not specifically limit this. The maintenance instruction carries the vehicle information and / or battery information of the vehicle to be maintained and can clearly point to the vehicle to be maintained. The cloud data platform is in communication with the user terminal and receives the maintenance instruction sent by the user terminal that carries the vehicle information and / or battery information of the vehicle to be maintained. Battery monitoring parameters are data that can directly or indirectly reflect the performance of the battery of the existing electric vehicle and can be directly monitored on the existing electric vehicle. For example only, battery monitoring parameters include but are not limited to battery temperature, charging time, mileage, battery capacity, service life, etc. The specific battery monitoring parameters are set according to the actual situation of the existing electric vehicle. Vehicle information includes at least vehicle model and battery monitoring parameters, and battery information includes at least battery model and battery monitoring parameters. Battery charging records include at least charging time, charging time, charging temperature, etc.

[0059] S120 : Match a pre-stored battery maintenance plan based on vehicle information and / or battery information.

[0060] A large number of battery maintenance plans are pre-stored in the cloud data platform. Each battery maintenance plan is associated with its applicable vehicle model or battery model, or is associated with both its applicable vehicle model and battery model. A preset plan matching model is set in the cloud data platform. After the cloud data platform receives a maintenance instruction sent by the user end that carries the vehicle information and / or battery information of the vehicle to be maintained, the preset plan matching model matches the battery maintenance plan with the same vehicle model or the same battery model, or with the same vehicle model and the same battery model, from the large number of stored maintenance plans based on the vehicle model in the vehicle information or the battery model in the battery information, or based on the vehicle model and the battery model. If a battery maintenance plan with the same vehicle model, or a battery maintenance plan with the same battery model, or a battery maintenance plan with the same vehicle model and the same battery model can be matched, the match is successful and enters S130.

[0061] S130: Acquire the matched battery maintenance plan as the battery maintenance plan for the vehicle to be maintained.

[0062] As a preferred embodiment, when the preset scheme matching model matches at least two groups of battery maintenance schemes for the same vehicle model and / or the same battery model from the stored battery maintenance schemes for existing electric vehicles, the preset scheme matching model selects the group of battery maintenance schemes with the most historical adoptions from the at least two matched groups of battery maintenance schemes, or the battery maintenance scheme with the highest degree of battery monitoring parameter matching. When the battery maintenance scheme with the highest degree of battery monitoring parameter matching is adopted, the battery maintenance scheme stored in the cloud data platform contains or is associated with battery monitoring parameter information, and the maintenance instruction sent by the vehicle to be maintained carries the corresponding battery monitoring parameter information. The degree of matching of the battery monitoring parameters is determined by comparing the battery monitoring parameter information contained or associated in the battery maintenance scheme stored in the cloud data platform with the battery monitoring parameter information carried in the maintenance instruction. Alternatively, the maintenance instruction may not carry battery monitoring parameter information. When the cloud data platform matches at least two groups of battery maintenance schemes for the same vehicle model and / or the same battery model, the cloud data platform then sends an information acquisition instruction to the vehicle to be maintained to obtain the battery monitoring parameter information of the vehicle to be maintained in real time. The highest matching degree of battery monitoring parameters means that the absolute value of the numerical difference of the same item in the battery monitoring parameters is the smallest. For example, the battery monitoring parameters include charging time and mileage. The battery monitoring parameters of the tram to be maintained include a charging time of 6 hours and a mileage of 800 kilometers. There are two groups of battery maintenance data matched with the same vehicle model and the same battery model. The battery monitoring parameters in the first group of battery maintenance data include a charging time of 6.5 hours and a mileage of 850 kilometers. The battery monitoring parameters in the second group of battery maintenance data include a charging time of 5 hours and a mileage of 600 kilometers. After calculating the difference between the charging time and mileage in each group of battery maintenance data and the charging time and mileage in the battery monitoring parameters of the tram to be maintained, the difference in the first group is 6.5-6=0.5, 850-800=50, and the difference in the second group is 5-6=-1, 600-800=-200. After comparing the absolute value of the difference between the two groups, if the first group is smaller than the second group, the battery maintenance plan in the first group of battery maintenance data is selected. Of course, the definition of the highest matching degree in the preset scheme matching model can also refer to each difference or the sum of the differences between the battery monitoring parameters in the battery maintenance data and the battery monitoring parameters of the tram to be maintained being within a preset numerical range, which is specifically set as needed based on the actual situation of the existing trams.

[0063] The battery maintenance method for existing trams provided in an embodiment of the present application, after receiving a maintenance instruction sent by a user, matches a corresponding battery maintenance plan from pre-stored battery maintenance plans based on vehicle information and / or battery information as the battery maintenance plan for the vehicle to be maintained. This method can efficiently generate a battery maintenance plan that has a strong correspondence with the existing trams, extend the battery service life of the trams, and improve the battery safety of the existing trams.

[0064] In some embodiments, pre-stored battery maintenance plans include universal battery maintenance plans stored in the cloud data platform's database, as well as battery maintenance plans corresponding to different vehicle models. A universal battery maintenance plan refers to a battery maintenance plan applicable to two or more vehicle models, or a battery maintenance plan applicable to two or more battery models. When a universal battery maintenance plan is stored in the cloud data platform's database, it is associated with all vehicle models and battery models to which the universal battery maintenance plan applies. In other embodiments, if the number of vehicle models or battery models applicable to a universal battery maintenance plan exceeds a preset storage byte count, the universal battery maintenance plan is associated with identification information, such as "universal," when stored in the cloud data platform's database. When the cloud data platform matches a pre-stored battery maintenance plan based on at least one of the vehicle information and battery information, it also matches the battery maintenance plan associated with the identification information, such as "universal." Preferably, if the matched battery maintenance plan is a universal battery maintenance plan, upon determining that the matched battery maintenance plan is the maintenance plan for the vehicle to be maintained, the cloud data platform also obtains the universal identification information associated with the universal battery maintenance plan, so that it can be subsequently sent to the vehicle to be maintained for display.

[0065] After S130, the method further includes:

[0066] Send the battery maintenance plan of the vehicle to be maintained to the vehicle system of the vehicle to be maintained.

[0067] The cloud data platform's database pre-stores general battery maintenance plans, as well as battery maintenance plans corresponding to different vehicle models, which have a wide range of applicability and high applicability for vehicle battery maintenance.

[0068] In some embodiments, the method further comprises:

[0069] Retrieving battery maintenance data of the same batch based on at least one of vehicle information and battery information;

[0070] Determine whether the differences of batteries in the same batch meet the preset requirements based on the maintenance data of batteries in the same batch;

[0071] If so, the matched battery maintenance plan is obtained as the battery maintenance plan for the vehicle to be maintained. The vehicle information includes at least the vehicle model, and the battery information includes at least the battery model. The cloud data platform retrieves battery maintenance data from the same batch based on at least one of the vehicle model and the battery model.

[0072] Among them, judging whether the differences of batteries in the same batch meet the preset requirements based on the battery maintenance data of the same batch refers to calculating the absolute value of the numerical difference of the battery monitoring parameters in each two groups of battery maintenance data from the same batch, and judging whether the differences of batteries in the same batch meet the preset requirements based on the distribution of the absolute values of all numerical differences. If the number of absolute values of the numerical differences that is greater than a preset proportion is distributed within a preset numerical range, then it is judged that the differences of batteries in the same batch meet the preset requirements. For example: if more than 95% of the absolute values of the numerical difference of each battery monitoring parameter in the battery maintenance data of the same batch are within the preset range of 0-2%, then it is judged that the differences of batteries in the same batch meet the preset requirements and the differences of batteries in the same batch are small.

[0073] Before matching the battery maintenance plan corresponding to the vehicle model and battery, the battery maintenance data of the same batch is first retrieved to determine whether the battery differences meet the preset requirements, so as to determine whether the currently stored battery maintenance plan for the same batch of batteries is of reference value. If the differences between the same batch of batteries are small, the matched battery maintenance plan is judged to be more accurate, and the cloud data platform uses the matched battery maintenance plan as the battery maintenance plan for the vehicle to be maintained.

[0074] In some preferred embodiments, the vehicle information also includes the vehicle age, and the battery information also includes the battery age. When the cloud data platform matches a pre-stored maintenance plan based on the vehicle information and / or battery information, the matching is performed based on the vehicle model and vehicle age, or based on the battery model and battery age, or based on the vehicle model and vehicle age, battery model, and battery age. The maintenance plan stored in the cloud data platform is also associated with and stored with at least one of the vehicle age and the battery age.

[0075] Generally speaking, the battery's service life is consistent with the vehicle's service life. A battery maintenance plan matched based on the vehicle model, vehicle service life, and preset solution matching model is consistent with the battery maintenance plan matched based on the battery model, battery service life, and preset solution matching model. However, some existing electric vehicles have been on the market for a long time, and some vehicles from the same batch may have undergone battery replacements. This can result in different battery models and service life for the same vehicle model and service life, or different battery service life for the same vehicle model, service life, and battery model. For example, some existing vehicles may have a service life of 0, but after testing, the battery's service life is not 0, and the battery's service life is inconsistent with the vehicle's service life. Therefore, the battery maintenance plan matched based on the vehicle model, vehicle service life, and preset solution matching model will differ significantly from the battery maintenance plan matched based on the battery model, battery service life, and preset solution matching model. In this case, a more suitable battery maintenance plan is needed based on the vehicle model, vehicle service life, battery model, battery service life, and preset solution matching model.

[0076] When matching battery maintenance plans based on the vehicle model, vehicle age, and a preset plan matching model, a battery maintenance plan that matches the same vehicle model and the same vehicle age is queried from the stored battery maintenance plans, and the battery maintenance plan with the same vehicle model and the same vehicle age is obtained as the battery maintenance plan for the tram to be maintained. When matching battery maintenance plans based on the battery model, battery age, and a preset plan matching model, a battery maintenance plan that matches the same battery model and the same battery age is queried from the stored battery maintenance plans, and the battery maintenance plan with the same battery model and the same battery age is obtained as the battery maintenance plan for the tram to be maintained. When matching maintenance plans based on the vehicle model, vehicle age, battery model, battery age, and a preset plan matching model, a battery maintenance plan with the same vehicle model, the same vehicle age, the same battery model, and the same battery age is queried from the stored battery maintenance plans as the battery maintenance plan for the tram to be maintained.

[0077] In some embodiments, after determining whether the differences of batteries in the same batch meet preset requirements based on the battery maintenance data of the same batch, if the determination result is negative, a battery test instruction is sent to the vehicle system to obtain the battery test data of the vehicle;

[0078] Generate battery maintenance plans based on vehicle battery test data.

[0079] Specifically, the cloud data platform sets the plan generation rules in advance, and generates the corresponding battery maintenance plan based on all the battery test data obtained from the test, that is, the complete battery monitoring parameters.

[0080] Exemplarily, the solution generation rules specify a mapping relationship between the absolute value of the difference between the initial battery monitoring parameters corresponding to the battery model or vehicle model and the tested battery monitoring parameters and the degree of battery performance degradation, as well as a mapping relationship between the degree of battery performance degradation and the battery maintenance plan. For example, the battery test data obtained from the test is a charging time of 8 hours and a mileage of 600 kilometers, while the initial battery monitoring parameters retrieved according to the battery model or vehicle model are a charging time of 6 hours and a mileage of 800 kilometers. Based on the absolute value of the charging time difference of 2 hours and the absolute value of the mileage difference of 200 kilometers, the corresponding degree of battery performance degradation is found to be moderate, and then the corresponding battery maintenance plan is found based on the moderate degradation degree as the battery maintenance plan for the electric vehicle to be maintained.

[0081] When the differences among batteries from the same batch do not meet the preset requirements, the matched battery maintenance plan has little reference value and cannot be used directly. The cloud data platform sends a battery test instruction to the vehicle system to obtain the vehicle's battery test data, and generates a battery maintenance plan based on the battery test data to avoid using a battery maintenance plan with low reference value due to the large differences among batteries from the same batch. It is more accurate to generate a battery maintenance plan based on the current battery test data.

[0082] In some embodiments, the battery test data is obtained by an onboard system receiving and processing data transmitted by onboard sensors.

[0083] The data transmitted by the onboard sensors include at least vehicle speed, vehicle mileage, and battery temperature. Of course, the data transmitted by the onboard sensors may also include other data that can directly or indirectly reflect battery performance, such as battery capacity, and the specific data is set according to the actual configuration of the electric vehicle.

[0084] The test vehicle speed, vehicle mileage, battery temperature and other data that can directly or indirectly reflect battery performance. The subsequent cloud data platform can generate a highly matched battery maintenance plan based on this data.

[0085] In some embodiments, the maintenance instruction carries a test instruction;

[0086] Send test instructions to the vehicle system;

[0087] receiving battery test data of the vehicle acquired and transmitted by the vehicle-mounted system according to the test instruction;

[0088] A battery maintenance plan is generated according to the vehicle's battery test data and preset plan generation rules, and the generation steps are consistent with the steps of generating a battery maintenance plan according to the battery test data and preset plan generation rules in the above embodiment.

[0089] When a maintenance instruction initiated by the user contains a test instruction, the test instruction is directly initiated to the vehicle. All battery data is obtained through the test, and a more accurate battery maintenance plan can be generated.

[0090] In some embodiments, the method further includes: associatively storing the vehicle model, the battery model, the battery test data, and the battery maintenance plan generated based on the battery test data.

[0091] After testing, the vehicle model, battery model, and battery test data, along with the battery maintenance plan generated based on the test data, are stored in association. This data and maintenance plan can be used as a reference for other vehicles with the same model and battery model when undergoing battery maintenance. Preferably, the vehicle model, battery model, vehicle age, and battery age are stored in association with the battery test data to address situations where a vehicle has had its battery replaced. This provides more complete data and allows for more accurate generation of battery maintenance plans based on the vehicle model, battery model, vehicle age, and battery age.

[0092] In some embodiments, the battery maintenance plan includes at least battery life prediction data; after obtaining a matched battery maintenance plan on the cloud data platform as the battery maintenance plan for the vehicle to be maintained, or generating a battery maintenance plan based on battery test data and preset plan generation rules, the method further includes:

[0093] Determine whether the battery needs to be scrapped based on the battery life prediction data;

[0094] If not, the battery maintenance plan is sent to the vehicle system for the vehicle system to update the battery management system;

[0095] If so, the scrapping suggestion information and scrapping location information are sent to the vehicle system.

[0096] After the battery maintenance plan is generated, it is determined whether the battery needs to be scrapped based on the battery life prediction data. If the battery needs to be scrapped, the scrapping recommendation information and scrapping location information are sent to the vehicle system. If the battery does not need to be scrapped, the battery maintenance plan is sent to the vehicle system to update the battery management system, so that the vehicle battery can be maintained in a timely and effective manner.

[0097] The present application also provides a battery maintenance system for existing electric vehicles. Figure 2 As shown, the system includes:

[0098] The receiving module 210 is configured to receive a maintenance instruction sent by a user terminal and carrying vehicle information and / or battery information of a vehicle to be maintained;

[0099] a matching module 220 for matching a pre-stored maintenance plan based on vehicle information and / or battery information;

[0100] The generating module 230 is configured to obtain the matched battery maintenance plan as the battery maintenance plan for the vehicle to be maintained after the matching module 220 successfully matches.

[0101] Specifically, the preset solution matching model in the matching module 220 matches a maintenance solution for the same vehicle model from the stored battery maintenance solutions based on the vehicle model, or matches a battery maintenance solution for the same battery model from the stored battery maintenance solutions based on the battery model, or matches a battery maintenance solution for the same vehicle model and the same battery model from the stored battery maintenance solutions based on the vehicle model and the battery model. When the preset solution matching model in the matching module 220 matches at least two groups of battery maintenance solutions from the battery maintenance solutions stored in the cloud data platform database, the preset solution matching model selects the group of battery maintenance solutions with the most historical adoptions from the at least two matched groups of battery maintenance solutions, or the battery maintenance solution with the highest degree of matching of battery monitoring parameters.

[0102] In some embodiments, the system further includes a storage module for storing a general battery maintenance plan and battery maintenance plans corresponding to different vehicle models;

[0103] The system further includes a sending module configured to send the battery maintenance plan of the vehicle to be maintained to the vehicle-mounted system of the vehicle to be maintained after the generating module 230 obtains the battery maintenance plan matched by the matching module 220 as the battery maintenance plan of the vehicle to be maintained.

[0104] Specifically, the matching module 220 includes:

[0105] a query unit configured to query the stored data for a maintenance plan for the same vehicle model when the matching module 220 generates a maintenance plan based on the vehicle model and a preset plan matching model; or, to query the stored data for a maintenance plan for the same battery model when the matching module 220 generates a maintenance plan based on the battery model and a preset plan matching model; or, to query the stored data for a maintenance plan for the same vehicle model and the same battery model when the matching module 220 generates a maintenance plan based on the vehicle model, the battery model, and the preset plan matching model;

[0106] The selection unit is configured to query the battery maintenance plan of the same vehicle model from the stored maintenance plans, and obtain the battery maintenance plan of the same vehicle model as the battery maintenance plan of the electric vehicle to be maintained;

[0107] Alternatively, the query unit queries the battery maintenance plan for the same battery model from the stored maintenance plans, and obtains the battery maintenance plan for the same battery model as the battery maintenance plan for the electric vehicle to be maintained;

[0108] Alternatively, the query unit queries the battery maintenance plan for the same vehicle model and the same battery model from the stored maintenance plans, and obtains the battery maintenance plan as the battery maintenance plan for the electric vehicle to be maintained.

[0109] Preferably, the system further comprises:

[0110] A retrieval module, configured to retrieve battery maintenance data of the same batch based on at least one of vehicle information and battery information;

[0111] A judgment module, configured to judge whether the differences of batteries in the same batch meet preset requirements based on the maintenance data of batteries in the same batch;

[0112] Specifically, the judgment module includes:

[0113] A calculation unit, used to calculate the absolute value of the difference between the values of the battery monitoring parameters in each two groups of battery maintenance data of the same batch;

[0114] A judgment unit is used to judge whether the differences of batteries in the same batch meet the preset requirements based on the distribution of the absolute values of all numerical differences. If the number of absolute values of the numerical differences that is greater than a preset proportion is distributed within a preset numerical range, it is judged that the differences of batteries in the same batch meet the preset requirements.

[0115] The generating module 230 is configured to obtain the battery maintenance plan matched by the matching module 220 as the battery maintenance plan for the vehicle to be maintained after the judgment result of the judging module is yes.

[0116] Preferably, the matching module 220 is used to match the battery maintenance plan based on the vehicle model, the vehicle age and a preset plan matching model; or, to match the battery maintenance plan based on the battery model, the battery age and a preset plan matching model; or, to match the battery maintenance plan based on the vehicle model, the vehicle age, the battery model, the battery age and a preset plan matching model.

[0117] In some embodiments, the sending module is further configured to send a battery test instruction to the vehicle system to obtain the vehicle's battery test data when the judgment module determines that the differences between batteries in the same batch do not meet preset requirements based on the battery maintenance data of the same batch.

[0118] The generation module 230 is further configured to generate a battery maintenance plan based on the vehicle's battery test data and preset plan generation rules.

[0119] In some embodiments, the maintenance instruction carries a test instruction; the sending module is further used to send the test instruction to the vehicle system;

[0120] The receiving module 210 is used to receive the vehicle battery test data acquired and transmitted by the vehicle system according to the test instruction;

[0121] The generation module 230 is used to generate a battery maintenance plan based on the vehicle's battery test data and preset plan generation rules.

[0122] Specifically, the generation module 230 is configured to search for the corresponding battery performance degradation level based on a mapping relationship between the absolute value of the difference between the initial battery monitoring parameters corresponding to the battery model or vehicle model and the tested battery monitoring parameters and the battery performance degradation level, and to search for the corresponding battery maintenance plan based on a mapping relationship between the battery performance degradation level and the battery maintenance plan, as the battery maintenance plan for the electric vehicle to be maintained. In some embodiments, the storage module is further configured to associate and store battery test data with the vehicle model and battery model, as well as a battery maintenance plan generated based on the battery test data.

[0123] The battery maintenance plan includes at least battery life prediction data; the judgment module is further used to: judge whether the battery needs to be scrapped based on the battery life prediction data;

[0124] The sending module is further configured to send a battery maintenance plan to the vehicle system for the vehicle system to update the battery management system after the judgment module determines that the battery does not need to be scrapped based on the battery life prediction data;

[0125] The sending module is also used to send scrapping suggestion information and scrapping location information to the vehicle system after the judgment module determines that the battery needs to be scrapped based on the battery life prediction data.

[0126] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, any step of the method for maintaining the stock trams described above in the embodiment is implemented.

[0127] An embodiment of the present application also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method in the above embodiment is implemented.

[0128] refer to Figure 3 , which exemplarily shows the architecture of a computer device, which may specifically include a processor 310, a video display adapter 311, a disk drive 312, an input / output interface 313, a network interface 314, and a memory 320. The processor 310, video display adapter 311, disk drive 312, input / output interface 313, network interface 314, and memory 320 may be communicatively connected via a communication bus 330.

[0129] Among them, the processor 310 can be implemented by a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in this application.

[0130] The memory 320 can be implemented in the form of a read-only memory (ROM), a random access memory (RAM), a static storage device, a dynamic storage device, etc. The memory 320 can store an operating system 321 and a basic input and output system (BIOS) 322. In addition, it can also store a web browser 323, a data storage manager 324, etc. In short, when the technical solution provided by this application is implemented through software or firmware, the relevant program code is stored in the memory 320 and is called and executed by the processor 310.

[0131] The input / output interface 313 is used to connect to input / output modules to implement information input and output. The input / output modules can be configured as components within the device (not shown in the figure) or can be externally connected to the device to provide corresponding functions. Input devices may include a keyboard, mouse, touch screen, microphone, various sensors, etc., and output devices may include a display, speaker, vibrator, indicator light, etc.

[0132] The network interface 314 is used to connect to a communication module (not shown) to enable communication between the device and other devices. The communication module can communicate via a wired method (such as USB, network cable, etc.) or a wireless method (such as mobile network, WiFi, Bluetooth, etc.).

[0133] The communication bus 330 comprises a pathway for transmitting information between the various components of the device (eg, the processor 310 , the video display adapter 311 , the disk drive 312 , the input / output interface 313 , the network interface 314 , and the memory 320 ).

[0134] In addition, the computer device 300 can also obtain information on specific collection conditions from the virtual resource object collection condition information database for use in condition judgment, etc.

[0135] It should be noted that although the computer device 300 shown above only includes a processor 310, a video display adapter 311, a disk drive 312, an input / output interface 313, a network interface 314, a memory 320, and a communication bus 330, in a specific implementation, the computer device may also include other components necessary for normal operation. In addition, those skilled in the art will understand that the device may only include the components necessary to implement the solution of the present application, and does not necessarily include all the components shown in the figure.

[0136] Through the description of the above implementation methods, it can be seen that those skilled in the art can clearly understand that the present application can be implemented by means of software plus the necessary general hardware platform. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a cloud server, or a network device, etc.) to execute the methods of each embodiment of the present application or certain parts of the embodiments.

[0137] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0138] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for maintaining existing electric vehicle batteries, characterized in that: The method comprises: receiving a maintenance instruction sent by a user terminal and carrying vehicle information and / or battery information of a vehicle to be maintained; matching a pre-stored battery maintenance plan based on the vehicle information and / or the battery information; If the matching is successful, the matched battery maintenance plan is obtained as the battery maintenance plan for the vehicle to be maintained.

2. The method for maintaining the stock electric vehicle batteries according to claim 1, characterized in that: The pre-stored battery maintenance plan includes a general battery maintenance plan stored in a database on the cloud data platform, and battery maintenance plans corresponding to different vehicle models; After obtaining the matched battery maintenance plan as the battery maintenance plan for the vehicle to be maintained, the method further includes: The battery maintenance plan of the vehicle to be maintained is sent to the onboard system of the vehicle to be maintained.

3. The method for maintaining the battery of an existing electric vehicle according to claim 1, characterized in that: The method further comprises: Retrieving battery maintenance data of the same batch based on the vehicle information and / or the battery information; Determining whether the differences among batteries in the same batch meet preset requirements based on the battery maintenance data of the same batch; If so, the matched battery maintenance plan is obtained as the battery maintenance plan for the vehicle to be maintained.

4. The method for maintaining the stock electric vehicle batteries according to claim 3, characterized in that: If it is determined based on the maintenance data of the batteries in the same batch that the differences between the batteries in the same batch do not meet the preset requirements, the method further includes: Sending battery test instructions to the vehicle system to obtain the vehicle's battery test data; A battery maintenance plan is generated based on the battery test data of the vehicle and preset plan generation rules.

5. The method for maintaining the stock electric vehicle batteries according to claim 4, characterized in that: The battery test data is obtained by the vehicle-mounted system receiving and processing data transmitted by the vehicle-mounted sensor.

6. The method for maintaining the stock electric vehicle batteries according to claim 1, characterized in that: The maintenance instruction carries a test instruction; the method further includes: Sending the test instruction to the vehicle system; receiving battery test data of the vehicle acquired and transmitted by the vehicle-mounted system according to the test instruction; A battery maintenance plan is generated based on the battery test data of the vehicle and preset plan generation rules.

7. The method for maintaining existing electric vehicle batteries according to claim 4 or 6, characterized in that: The method further comprises: The vehicle model, the battery model, the battery test data, and the battery maintenance plan generated based on the battery test data are stored in association.

8. The method for maintaining existing electric vehicle batteries according to claim 1, characterized in that: The battery maintenance plan includes at least battery life prediction data; the method further includes: Determining whether the battery needs to be scrapped based on the battery life prediction data; If not, sending the battery maintenance plan to the vehicle system for the vehicle system to update the battery management system; If so, the scrapping suggestion information and scrapping location information are sent to the vehicle system.

9. A battery maintenance system for existing electric vehicles, characterized in that: The system comprises: a receiving module, configured to receive a maintenance instruction sent by a user terminal and carrying vehicle information and / or battery information of a vehicle to be maintained; a matching module, configured to match a pre-stored battery maintenance plan based on the vehicle information and / or the battery information; The generating module is used to obtain the matched battery maintenance plan as the battery maintenance plan for the vehicle to be maintained after the matching module successfully matches.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for maintaining the battery of an existing electric vehicle according to any one of claims 1 to 8 are implemented.

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