Vehicle battery health assessment service system, method and equipment

Abstract

The invention relates to the technical field of vehicle networking, in particular to a vehicle battery health assessment service system, method and equipment. The invention discloses a vehicle battery health assessment service system. The system comprises a data acquisition module, a modeling analysis module, a service recommendation module and a service feedback module, the data acquisition module is used for acquiring target data related to a vehicle battery and preprocessing the target data; the modeling analysis module is used for determining a battery health assessment result based on the established assessment model according to the target data collected by the data acquisition module; the service recommendation module is used for providing service provider information and processing suggestions of a target automobile service provider for the user according to the evaluation result output by the modeling analysis module; and the service feedback module is used for judging the accuracy of the battery health assessment result and acquiring the assessment information of the user on the target automobile service provider.

Description

Technical Field

[0001] The present application relates to the field of vehicle networking technology, and specifically to a vehicle battery health assessment service system, method and equipment. Background Art

[0002] With the rapid development of the new energy vehicle industry, its ownership is increasing year by year. As one of the core power sources of new energy vehicles, the performance, life and safety of batteries are increasingly attracting market attention. Due to its physical properties, the performance of batteries will gradually decline over time. This decline is not only manifested in a reduction in battery capacity, but also leads to safety issues such as overcharging, over-discharging, and short circuits. Therefore, it is particularly important to detect the health status of batteries.

[0003] In related technologies, the main problems in the evaluation of battery health status are low accuracy of battery fault detection, lack of effective solution guidance for users and automobile service providers, low quality and efficiency of supply and demand matching between automobile service providers and users, and lack of effective closed-loop feedback in actual application of battery health status evaluation. Summary of the invention

[0004] The embodiments of the present invention provide a vehicle battery health assessment service system, method and device to solve the problems in the prior art such as low accuracy of battery fault detection, lack of effective solution guidance for automobile service providers, low quality and efficiency of supply and demand matching between automobile service providers and users, and lack of effective closed-loop feedback on the assessment of battery health status in practical applications.

[0005] In a first aspect, an embodiment of the present invention provides a vehicle battery health assessment service system, characterized in that the system comprises: a data acquisition module, a modeling and analysis module, a service recommendation module, and a service feedback module;

[0006] The data acquisition module is used to obtain target data related to the vehicle battery and perform preprocessing on the target data;

[0007] The modeling and analysis module is used to determine the battery health assessment result based on the established assessment model and the target data collected by the data acquisition module;

[0008] The service recommendation module is used to provide the user with service provider information and processing suggestions of the target automobile service provider according to the evaluation results output by the modeling and analysis module;

[0009] The service feedback module is used to determine the accuracy of the battery health assessment result and obtain the user's evaluation information on the target automobile service provider.

[0010] Optionally, the evaluation model established in the modeling and analysis module includes a user behavior analysis model and a battery health evaluation model, and the target data includes battery parameter data provided by a battery manufacturer and vehicle usage data monitored by an on-board sensor;

[0011] The user behavior analysis model includes a driving behavior analysis model and a charging behavior analysis model, wherein the driving behavior analysis model is used to determine the driving behavior information of the user when driving the vehicle according to the vehicle usage data, and the charging behavior model is used to determine the charging behavior information of the user when charging the vehicle according to the vehicle usage data;

[0012] The battery health assessment model includes a plurality of battery function assessment models, which are used to respectively determine individual indicators of the battery through the driving behavior information, the charging behavior information, and the battery parameter data, and determine the battery health assessment result according to the individual indicators of the battery;

[0013] The battery health assessment result includes potential failures of the battery and the causes of the failures.

[0014] Optionally, the battery function evaluation model includes a single function evaluation model and a comprehensive function evaluation model;

[0015] The single function evaluation model is used to determine the individual indicators of the battery through the driving behavior information, the charging behavior information, and the battery parameter data, and the comprehensive function evaluation model is used to determine the battery health evaluation result according to the individual indicators of the battery;

[0016] Among them, the single function evaluation model includes a voltage function evaluation model, a current function evaluation model, an insulation function evaluation model and a temperature function evaluation model.

[0017] Optionally, the user behavior analysis model further includes an activity trajectory analysis model;

[0018] The activity trajectory analysis model is used to determine the user's high-frequency activity locations at various times based on the vehicle usage data, and output the high-frequency activity locations to the service recommendation module for the service recommendation module to determine the target automobile service provider.

[0019] Optionally, the service recommendation module includes a car service provider recommendation module and a user service recommendation module;

[0020] The car service provider recommendation module is used to determine a target car service provider based on the user's high-frequency activity locations at the current moment and the evaluation information of each car service provider, and push the service provider information of the target car service provider to the user;

[0021] The user service recommendation module is used to determine corresponding processing suggestions based on the battery health assessment results output by the modeling and analysis module, and push the processing suggestions to the user and / or the target automobile service provider.

[0022] Optionally, the service feedback module includes a vehicle maintenance analysis module and a user sentiment analysis module;

[0023] The vehicle maintenance analysis module is used to determine whether the battery health assessment result output by the modeling analysis module is correct according to the actual processing process of the target automobile service provider, and feed back the judgment result to the modeling analysis module through the data acquisition module;

[0024] The user sentiment analysis module is used to obtain the user's evaluation information on the service results of the target automobile service provider, and feed back the evaluation information to the service recommendation module through the data collection module.

[0025] Optionally, the modeling and analysis module is also used to obtain a judgment result of the battery health assessment result, and update the model in the modeling and analysis module according to the judgment result.

[0026] In a second aspect, an embodiment of the present invention provides a vehicle battery health assessment service method, the method comprising:

[0027] Acquiring target data related to a vehicle battery and performing preprocessing on the target data;

[0028] Inputting the preprocessed target data into a pre-established evaluation model, and outputting a battery health evaluation result through the evaluation model;

[0029] Provide the user with service provider information and processing suggestions of the target automobile service provider according to the battery health assessment result.

[0030] In a third aspect, an embodiment of the present invention provides an electronic device, including: a vehicle battery health assessment service system as described in any one of the first aspects;

[0031] at least one processor; and

[0032] at least one memory in communication with the processor, wherein:

[0033] The memory stores program instructions executable by the processor, and the processor can execute the method as described in the second aspect by calling the program instructions.

[0034] In a fourth aspect, an embodiment of the present invention provides a storage medium, wherein the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the method described in the second aspect.

[0035] The embodiment of the present invention sets a modeling and analysis module to determine the battery health assessment result. It is not necessary to master the electrochemical and physical principles inside the battery, but only needs to master the correlation factors that cause battery failure to affect its monitoring status. This greatly reduces the complexity of modeling and improves the timeliness and accuracy of the prediction.

[0036] In addition to timely feedback on possible faults, solutions are also provided to users and car service providers through the service recommendation module. For users, this can help avoid accidents that affect personal safety to the greatest extent; for car service providers, they can receive professional technical guidance to help them improve the efficiency and quality of maintenance.

[0037] The service feedback module obtains users' evaluation information on automobile service providers to encourage automobile service providers to continuously optimize their services.

[0038] At the same time, the evaluation model automatically analyzes, adjusts, and tests feedback information to continuously optimize the accuracy of battery health assessment, ensuring timely model updates and iterations while also reducing manual collection and development costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 The figure shows a structural schematic diagram of a vehicle battery health assessment service system provided by an embodiment of the present application;

[0041] Figure 2 Shown is a structural schematic diagram of another vehicle battery health assessment service system provided by an embodiment of the present application;

[0042] Figure 3 Shown is a flow chart of a vehicle battery health assessment service method provided by an embodiment of the present application;

[0043] Figure 4 Shown is a schematic structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to better understand the technical solution of the present application, the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0045] It should be clear that the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0046] With the rapid development of the new energy vehicle industry, its ownership has increased year by year. As one of the core power sources of new energy vehicles, the performance, life and safety of batteries have received more and more attention from the market. Due to its physical properties, the performance of batteries will gradually decline over time. This decline is not only manifested as a reduction in battery capacity, but also leads to safety problems such as battery overcharging, over-discharging, and short circuits. Therefore, it is particularly important to detect the health status of batteries. In related technologies, the evaluation of battery health status mainly has the following problems.

[0047] First, the evaluation of vehicle battery health currently mainly adopts the analytical modeling method based on battery mechanism. This method mainly uses the open circuit voltage method, ampere-hour integration method, equivalent circuit method, etc. to establish a model that truly reflects the internal evolution of the battery based on the electrochemical principles and physical properties inside the battery. However, due to the diversity and complexity of battery failure phenomena, such as capacity decay, shortened cycle life, thermal runaway, flatulence and leakage, and the diversity of failure causes, such as material aging, electrical short circuit, electrolyte depletion, temperature control failure, parameter adjustment, etc., this method has problems such as complex modeling and low prediction accuracy. Sometimes the battery has serious problems that affect the normal use of the user before it is discovered, and sometimes false alarms are generated, affecting the user's car experience.

[0048] Second, users and car service providers lack effective solution guidance. The assessment of battery health status currently only provides a score, or vague assessments such as "good, bad, etc." For new energy vehicles, which are highly electrified and intelligent, car service providers and users do not have enough capabilities to handle them. They need to go to designated locations to receive professional technical guidance from car manufacturers to complete vehicle troubleshooting. Some serious faults, especially those involving user safety, will cause serious consequences if not handled in time, resulting in property losses or even casualties.

[0049] Third, the quality and efficiency of supply and demand matching between auto service providers and users are not high. Due to the unreasonable distribution of auto service providers' stores, most of them are far away from the areas where users often move around, and users are not clear about which auto service providers' stores have the ability to detect and repair batteries, nor are they clear about the service quality of each store. As a result, users lack effective information guidance, and auto service providers are unable to generate effective driving force to improve their service quality.

[0050] Fourth, the evaluation of battery health status lacks effective closed-loop feedback in actual applications. As user habits and battery working environment change, the accuracy of the evaluation will decrease. Developers need to collect relevant information from various service providers every once in a while to adjust the model, and data errors or loss often occur during the collection process, resulting in high model update costs and low efficiency.

[0051] To solve the above problems, the embodiments of the present invention provide a vehicle battery health assessment service system, method and device. Figure 1 FIG. 1 is a schematic diagram of a vehicle battery health assessment service system provided by an embodiment of the present invention. Figure 1 The vehicle battery health assessment service system specifically includes a data acquisition module 110 , a modeling and analysis module 120 , a service recommendation module 130 , and a service feedback module 140 .

[0052] The data acquisition module 110 is used to acquire target data related to the vehicle battery and pre-process the acquired target data.

[0053] Specifically, the target data includes battery parameter data provided by the battery manufacturer, and vehicle usage data generated by the user while driving the vehicle, collected by the vehicle sensor. In some embodiments, the target data also includes the accuracy of the battery health assessment result determined and sent by the service feedback module after the maintenance of the vehicle battery is completed, and the user's evaluation information on the target automobile service provider.

[0054] Among them, due to the diversity of target data sources and their structures, the data acquisition module is required to have high compatibility to adapt to the data transmission protocols of different data sources.

[0055] After acquiring the target data, the data acquisition module also needs to preprocess the collected data. Specifically, it performs preprocessing operations such as removing duplicate data, removing empty data, removing erroneous data, data set difference, data set filling, data sorting, and data standardization on the received target data to convert the target data into the type and format required by the subsequent modules.

[0056] The modeling and analysis module 120 has a pre-trained evaluation model established therein, which is used to input the target data acquired and processed by the data acquisition module into the evaluation model, so as to determine the battery health evaluation result through the evaluation model.

[0057] Among them, the modeling and analysis module has one-stop modeling and analysis management functions such as modeling, testing, publishing, and version management of evaluation models.

[0058] like Figure 2 FIG. 1 is another battery health assessment service system provided by an embodiment of the present invention. Figure 2 The modeling and analysis module 120 specifically includes a user behavior analysis model 121 and a battery health assessment model 122 .

[0059] The user behavior classification model 121 specifically includes a driving behavior analysis model and a charging behavior analysis model. The driving behavior analysis model is used to determine the driving behavior information of the user when driving the vehicle based on the vehicle usage data, such as the idling, acceleration and deceleration, the use of high-voltage accessories such as air conditioning, and the use of door lights under different road types.

[0060] The charging behavior analysis model is used to determine the user's charging behavior information when charging the vehicle based on the vehicle usage data, such as the charging duration, frequency, and location at different times.

[0061] The battery health assessment model 122 specifically includes several battery function assessment models, which are used to determine the individual indicators of the battery through driving behavior information, charging behavior information, and battery parameter data, and determine the battery health assessment results based on the individual indicators of the battery, that is, determine the potential failure of the battery and the cause of the failure, and also include the capacity, life, and risk level of failure of the vehicle battery.

[0062] The battery function evaluation model includes a single function evaluation model and a comprehensive function evaluation model. The single function evaluation model is used to determine each single indicator of the battery through driving behavior information, charging behavior information, and battery parameter data.

[0063] See also Figure 2 The single function evaluation model includes a voltage function evaluation model, a current function evaluation model, an insulation function evaluation model, and a temperature function evaluation model, which are used to determine whether there are any abnormalities in the voltage, current, insulation, temperature, etc. of the vehicle battery.

[0064] The comprehensive function evaluation module is used to determine the battery health evaluation result based on each individual indicator of the battery.

[0065] Optionally, in some embodiments, the user behavior analysis model also includes an activity trajectory analysis model. The activity trajectory analysis model is used to determine the high-frequency activity locations of the user in each time period through the vehicle usage data. The determined high-frequency activity locations are output to the service recommendation module, so that the service recommendation module determines the target automobile service provider that provides services to the user.

[0066] In the modeling and analysis module provided in the embodiment of the present invention, each model is established mainly by using analytical modeling techniques such as statistical analysis, correlation analysis, machine learning, and neural network modeling.

[0067] The service recommendation module 130 is used to provide the user with service provider information of the target automobile service provider and suggestions for handling potential faults according to the evaluation results output by the modeling and analysis module.

[0068] Among them, the target service provider is a car service provider that is close to the user and has high-quality service capabilities and quality and is recommended to the user based on the user's high-frequency activity locations.

[0069] like Figure 2 As shown, the service recommendation module specifically includes a car service provider recommendation module 131 and a user service recommendation module 132 .

[0070] The automobile service provider recommendation module 131 is specifically used to evaluate and calculate the service skills and quality of technicians of each automobile service provider, the capabilities and status of the testing equipment based on the evaluation information of each automobile service provider, and determine the best automobile service provider in the area based on the idle status of the workstations and the status of mobile service vehicles provided in real time by each service provider.

[0071] At the same time, based on the user's high-frequency activity locations in the current period, or based on the vehicle's real-time positioning information, the target automobile service provider who is close to the user and has high-quality service capabilities is determined.

[0072] The user service recommendation module 132 is used to determine corresponding processing suggestions for the user based on the battery health assessment results output by the modeling and analysis module, that is, based on the cause of the battery failure and the risk level, and push the processing suggestions to the user.

[0073] Optionally, the user service recommendation module may also determine corresponding processing suggestions for the automobile service provider based on the battery health assessment results, and push the processing suggestions to the automobile service provider.

[0074] In the service recommendation module provided in the embodiment of the present invention, it is necessary to establish communication connections with the terminal device held by the user and the electronic device held by the automobile service provider respectively, and the processing suggestions can be pushed to the user and the automobile service provider through methods such as APP, SMS, and phone calls.

[0075] The service feedback module 140 is used to determine the accuracy of the battery health assessment result output by the modeling and analysis module, and obtain the user's evaluation information on the target automobile service provider.

[0076] like Figure 2 As shown, the service feedback module includes a vehicle maintenance analysis module 141 and a user emotion analysis module 142 .

[0077] The vehicle maintenance analysis module 141 is used to determine whether the battery health assessment result output by the modeling analysis module is correct according to the actual processing process and processing results of the target automobile service provider technician, and send the judgment result to the data acquisition module, so that the judgment result is fed back to the modeling analysis module through the data acquisition module.

[0078] Furthermore, after obtaining the judgment result of the battery health assessment result, the modeling and analysis module will automatically adjust the relevant parameters of the model according to the judgment result, re-complete the model training and testing, and realize the update of the model. After continuous correction, the accuracy of the model will continue to improve, greatly saving the efficiency of manual collection, improving data quality, and saving a lot of time and labor costs.

[0079] The user sentiment analysis module 142 is used to obtain the user's evaluation information on the service results of the target automobile service provider through the terminal device held by the user, that is, to obtain the user's message, evaluation, rating, etc., and determine the service efficiency and quality rating of each automobile service provider and each technician through text classification analysis and processing. The evaluation information is sent to the data collection module, so that the evaluation information is fed back to the service recommendation module through the data collection module.

[0080] Furthermore, after obtaining the evaluation information, the service recommendation module determines the target automobile service provider based on the evaluation information to recommend to the user. For high-quality automobile service providers and service technicians, their activation recommended to users will be increased, which will encourage automobile service providers to spontaneously optimize and improve their service levels and achieve positive drive.

[0081] The embodiment of the present invention sets a modeling and analysis module to determine the battery health assessment result. It is not necessary to master the electrochemical and physical principles inside the battery, but only needs to master the correlation factors that cause battery failure to affect its monitoring status. This greatly reduces the complexity of modeling and improves the timeliness and accuracy of the prediction.

[0082] In addition to timely feedback on possible faults, solutions are also provided to users and car service providers through the service recommendation module. For users, this can help avoid accidents that affect personal safety to the greatest extent; for car service providers, they can receive professional technical guidance to help them improve the efficiency and quality of maintenance.

[0083] The service feedback module obtains users' evaluation information on automobile service providers to encourage automobile service providers to continuously optimize their services.

[0084] At the same time, the evaluation model automatically analyzes, adjusts, and tests feedback information to continuously optimize the accuracy of battery health assessment, ensuring timely model updates and iterations while also reducing manual collection and development costs.

[0085] like Figure 3 As shown, it is a flow chart of a vehicle battery health assessment method provided by an embodiment of the present invention, and the method is applied to Figure 1 The vehicle battery health assessment system shown. Figure 3 The specific steps of the method include:

[0086] S301, acquiring target data related to the vehicle battery and performing preprocessing on the target data.

[0087] Specifically, the target data includes battery parameter data provided by the battery manufacturer and vehicle usage data detected by the on-board sensor. After the target data is acquired, the target data is converted into data that can be applied to the evaluation model by performing preprocessing.

[0088] S302, inputting the preprocessed target data into a pre-established evaluation model, and outputting a battery health evaluation result through the evaluation model.

[0089] Specifically, the vehicle usage data in the target data is input into the driving behavior analysis model and the charging behavior analysis model in the user behavior analysis model respectively to obtain the driving behavior information and the charging behavior information respectively.

[0090] The obtained driving behavior information and charging behavior information are input into the battery health assessment model, and combined with the obtained battery parameter data to determine the battery health assessment result. The battery health assessment result includes the potential failure of the battery and the cause of the failure.

[0091] S303, providing the user with service provider information and processing suggestions of the target automobile service provider according to the battery health assessment result.

[0092] Specifically, based on the user's high-frequency activity locations at the current moment and the evaluation information of each car service provider, a target car service provider that is close to the user and has high-quality service capabilities is determined. Based on the battery health assessment result determined in S302, a corresponding processing suggestion is determined. The recommended car service provider and the processing suggestion are pushed to the terminal device held by the user.

[0093] Optionally, in some embodiments, after the vehicle receives service from the target automobile service provider, the accuracy of the battery health assessment result output by S302 is determined based on the actual processing process of the target automobile service provider, and the judgment result is fed back to the assessment model to implement the update of the assessment model.

[0094] At the same time, the user's evaluation information on the service results of the target automobile service provider is obtained, so as to better recommend the target automobile service provider to the user in the future.

[0095] The embodiment of the present invention sets a modeling and analysis module to determine the battery health assessment result. It is not necessary to master the electrochemical and physical principles inside the battery, but only needs to master the correlation factors that cause battery failure to affect its monitoring status. This greatly reduces the complexity of modeling and improves the timeliness and accuracy of the prediction.

[0096] Figure 4 FIG. 1 is a schematic diagram of the structure of an electronic device according to an embodiment of the present specification. Figure 4 As shown, the electronic device may include Figure 1 or Figure 2 The vehicle battery health assessment service system shown comprises at least one processor; and at least one memory communicatively connected to the above-mentioned processing unit, wherein: the memory stores program instructions that can be executed by the processing unit, and the above-mentioned processor calls the above-mentioned program instructions to execute the vehicle battery health assessment service method provided in this embodiment.

[0097] The electronic device can be a device capable of intelligently communicating with a user, such as a cloud server, and the specific form of the electronic device is not limited in the embodiments of this specification. It can be understood that the electronic device here is the machine mentioned in the method embodiment.

[0098] Figure 4 A block diagram of an exemplary electronic device suitable for implementing the embodiments of the present description is shown. Figure 4 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of this specification.

[0099] like Figure 4 As shown, the electronic device is in the form of a general computing device. The components of the electronic device may include but are not limited to: one or more processors 410, communication interface 420, memory 430, and a communication bus 440 connecting different system components (including memory 430, communication interface 420 and processor 410).

[0100] The communication bus 440 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor or a local bus using any of a variety of bus structures. For example, these architectures include but are not limited to Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MAC) bus, Enhanced ISA bus, Video Electronics Standards Association (VESA) local bus and Peripheral Component Interconnection (PCI) bus.

[0101] Electronic devices typically include a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device, including volatile and non-volatile media, removable and non-removable media.

[0102] The memory 430 may include a computer system readable medium in the form of a volatile memory, such as a random access memory (RAM) and / or a cache memory. The electronic device may further include other removable / non-removable, volatile / non-volatile computer system storage media. The memory 430 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of each embodiment of the present specification.

[0103] A program / utility having a set (at least one) of program modules may be stored in memory 430, such program modules including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules generally perform the functions and / or methods of the embodiments described in this specification.

[0104] The processor 410 executes various functional applications and data processing by running the programs stored in the memory 430, such as implementing the vehicle battery health assessment service method provided in the embodiment shown in this specification.

[0105] An embodiment of the present specification provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions enable the computer to execute the vehicle battery health assessment service method provided by the embodiment shown in the present specification.

[0106] The above-mentioned non-transitory computer-readable storage medium can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ReadOnly Memory; hereinafter referred to as: ROM), an erasable programmable read-only memory (Erasable Programmable ReadOnly Memory; hereinafter referred to as: EPROM) or flash memory, optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0107] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0108] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0109] Computer program code for performing the operations of this specification may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0110] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0111] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this specification, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0112] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of this specification includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of this specification belong.

[0113] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0114] It should be noted that the terminals involved in the embodiments of this specification may include but are not limited to personal computers (Personal Computer; hereinafter referred to as: PC), personal digital assistants (Personal Digital Assistant; hereinafter referred to as: PDA), wireless handheld devices, tablet computers (Tablet Computer), mobile phones, MP3 players, MP4 players, etc.

[0115] In the embodiments provided in this specification, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0116] In addition, each functional unit in each embodiment of this specification may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0117] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of this specification.

[0118] The above description is only a preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this specification should be included in the scope of protection of this specification.

Claims

1. A vehicle battery health assessment service system, characterized in that: The system includes: a data collection module, a modeling and analysis module, a service recommendation module and a service feedback module; The data acquisition module is used to obtain target data related to the vehicle battery and perform preprocessing on the target data; The modeling and analysis module is used to determine the battery health assessment result based on the established assessment model and the target data collected by the data acquisition module; The service recommendation module is used to provide the user with service provider information and processing suggestions of the target automobile service provider according to the evaluation results output by the modeling and analysis module; The service feedback module is used to determine the accuracy of the battery health assessment result and obtain the user's evaluation information on the target automobile service provider.

2. The system according to claim 1, characterized in that The evaluation model established in the modeling and analysis module includes a user behavior analysis model and a battery health evaluation model, and the target data includes battery parameter data provided by a battery manufacturer and vehicle usage data monitored by on-board sensors; The user behavior analysis model includes a driving behavior analysis model and a charging behavior analysis model, wherein the driving behavior analysis model is used to determine the driving behavior information of the user when driving the vehicle according to the vehicle usage data, and the charging behavior model is used to determine the charging behavior information of the user when charging the vehicle according to the vehicle usage data; The battery health assessment model includes a plurality of battery function assessment models, which are used to respectively determine individual indicators of the battery through the driving behavior information, the charging behavior information, and the battery parameter data, and determine the battery health assessment result according to the individual indicators of the battery; The battery health assessment result includes potential failures of the battery and the causes of the failures.

3. The system according to claim 2, characterized in that The battery function evaluation model includes a single function evaluation model and a comprehensive function evaluation model; The single function evaluation model is used to determine the individual indicators of the battery through the driving behavior information, the charging behavior information, and the battery parameter data, and the comprehensive function evaluation model is used to determine the battery health evaluation result according to the individual indicators of the battery; Among them, the single function evaluation model includes a voltage function evaluation model, a current function evaluation model, an insulation function evaluation model and a temperature function evaluation model.

4. The system according to claim 2, characterized in that The user behavior analysis model also includes an activity trajectory analysis model; The activity trajectory analysis model is used to determine the user's high-frequency activity locations at various times based on the vehicle usage data, and output the high-frequency activity locations to the service recommendation module for the service recommendation module to determine the target automobile service provider.

5. The system according to claim 1, characterized in that The service recommendation module includes a car service provider recommendation module and a user service recommendation module; The car service provider recommendation module is used to determine a target car service provider based on the user's high-frequency activity locations at the current moment and the evaluation information of each car service provider, and push the service provider information of the target car service provider to the user; The user service recommendation module is used to determine corresponding processing suggestions based on the battery health assessment results output by the modeling and analysis module, and push the processing suggestions to the user and / or the target automobile service provider.

6. The system according to claim 1, characterized in that The service feedback module includes a vehicle maintenance analysis module and a user emotion analysis module; The vehicle maintenance analysis module is used to determine whether the battery health assessment result output by the modeling analysis module is correct according to the actual processing process of the target automobile service provider, and feed back the judgment result to the modeling analysis module through the data acquisition module; The user sentiment analysis module is used to obtain the user's evaluation information on the service results of the target automobile service provider, and feed back the evaluation information to the service recommendation module through the data collection module.

7. The system according to claim 6, characterized in that The modeling and analysis module is also used to obtain a judgment result of the battery health assessment result, and update the model in the modeling and analysis module according to the judgment result.

8. A vehicle battery health assessment service method, characterized in that: The method comprises: Acquiring target data related to a vehicle battery and performing preprocessing on the target data; Inputting the preprocessed target data into a pre-established evaluation model, and outputting a battery health evaluation result through the evaluation model; Provide the user with service provider information and processing suggestions of the target automobile service provider according to the battery health assessment result.

9. An electronic device, characterized in that: include: The vehicle battery health assessment service system according to any one of claims 1 to 7; at least one processor; as well as at least one memory in communication with the processor, wherein: The memory stores program instructions that can be executed by the processor, and the processor calls the program instructions to execute the method according to claim 8.

10. A storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the method according to claim 8.

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