Battery management method and device, terminal equipment and storage medium

Abstract

The application discloses a battery management method and device, a terminal equipment and a storage medium. The battery management method comprises the following steps: acquiring vehicle information of a target vehicle; performing matching and calculation based on the vehicle information and a preset vehicle battery information library to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is obtained from different vehicles; correcting the battery remaining use time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle. According to the application, the influence of user driving habits on battery consumption is considered, the user driving data is introduced to calculate a more accurate battery remaining use time correction value of the target vehicle, and the problem that the battery remaining use time calculated by a traditional method is inaccurate is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobiles, in particular to a battery management method and device, a terminal device and a storage medium. BACKGROUND

[0002] Nowadays, more and more automobiles use the electric energy stored in batteries as a power source to reduce or even eliminate the dependence on traditional fossil fuels. The service life of the automobile battery is limited, and the performance of the battery gradually weakens over time and with an increasing number of charging and discharging times. When the performance of the battery weakens to a certain extent, the battery is not suitable for use. At present, the remaining service time of the battery is commonly used to reflect the remaining service life of the automobile battery. When the remaining service time of the battery is exhausted, the battery is not suitable for use.

[0003] The remaining service time of the battery is generally directly calculated based on the obtained battery state information or charging information. However, the remaining service time of the battery calculated in this way can only reflect the battery information from a one-sided perspective, and does not reflect the influence of user habits on battery wear. The calculated remaining service time of the battery can be quite different from the actual remaining service time of the battery. In other words, the remaining service time of the battery calculated in the traditional way is inaccurate. SUMMARY

[0004] The main purpose of the present application is to provide a battery management method, device, terminal device and storage medium, which aims to solve the problem of inaccurate remaining service time of the battery calculated in the traditional way.

[0005] To achieve the above-mentioned purpose, the present application provides a battery management method, which comprises:

[0006] obtaining vehicle information of a target vehicle;

[0007] matching and calculating based on the vehicle information and a preset vehicle battery information library to obtain a battery remaining service time reference value of the target vehicle, wherein the information of the vehicle battery information library is obtained from different vehicles;

[0008] correcting the battery remaining service time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining service time correction value of the target vehicle.

[0009] Optionally, the vehicle information comprises vehicle model information and battery model information, and the step of matching and calculating based on the vehicle information and the preset vehicle battery information library to obtain the battery remaining service time reference value of the target vehicle comprises:

[0010] matching the vehicle model information and the battery model information with the preset vehicle battery information library to obtain a battery remaining use time reference value of at least one matched vehicle;

[0011] performing mean value calculation on the battery remaining use time reference value of the at least one matched vehicle to obtain a battery remaining use time reference value of the target vehicle.

[0012] Optionally, before the step of obtaining the vehicle information of the target vehicle, the method further comprises:

[0013] recording and storing user driving data of the target vehicle, wherein the user driving data comprises one or more of driving time data, battery start-up and shut-down data, and battery charging data.

[0014] Optionally, the battery remaining use time correction value is a battery remaining use time in days, and the step of correcting the battery remaining use time reference value based on the pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle comprises:

[0015] analyzing the pre-stored user driving data of the target vehicle to obtain a corresponding correction coefficient;

[0016] correcting the battery remaining use time reference value based on the correction coefficient to obtain the battery remaining use time in days of the target vehicle.

[0017] Optionally, after the step of correcting the battery remaining use time reference value based on the correction coefficient to obtain the battery remaining use time in days of the target vehicle, the method further comprises:

[0018] if the battery remaining use time in days of the target vehicle meets a preset battery replacement prompt condition, pushing battery replacement prompt information to a user of the target vehicle.

[0019] Optionally, the battery management method further comprises:

[0020] receiving a battery replacement prompt condition setting instruction input by a user;

[0021] setting the battery replacement prompt condition according to the battery replacement prompt condition setting instruction.

[0022] Optionally, after the step of correcting the battery remaining use time reference value based on the pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle, the method further comprises:

[0023] displaying the battery remaining use time correction value on the target vehicle.

[0024] The application also provides a battery management device, which comprises:

[0025] An acquisition module is configured to acquire vehicle information of a target vehicle.

[0026] A first calculation module is configured to match and calculate the vehicle information and a preset vehicle battery information database to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information database is acquired from different vehicles.

[0027] A second calculation module is configured to correct the battery remaining use time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle.

[0028] The application also provides a terminal device, which comprises a memory, a processor, and a battery management program stored in the memory and executable on the processor, and the battery management program is used to implement the steps of the battery management method.

[0029] The application also provides a computer readable storage medium, which stores a battery management program, and the battery management program is used to implement the steps of the battery management method when executed by a processor.

[0030] The battery management method, device, terminal device and storage medium provided by the application are used to acquire vehicle information of a target vehicle, match and calculate the vehicle information and a preset vehicle battery information database to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information database is acquired from different vehicles, and correct the battery remaining use time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle. According to the application, the vehicle battery information database stores battery information of different vehicles, the vehicle information of the target vehicle is matched and calculated with the vehicle battery information database, and a battery remaining use time reference value corresponding to the vehicle information of the target vehicle is obtained. The battery remaining use time reference value reflects the battery remaining use time of a vehicle similar to the target vehicle. Considering the influence of user driving habits on battery consumption, the battery remaining use time reference value is corrected based on the pre-stored user driving data of the target vehicle, and a more accurate battery remaining use time correction value of the target vehicle is obtained, which adapts to the difference between different user driving habits and solves the problem of inaccurate battery remaining use time obtained by a traditional method. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1A functional module schematic diagram of a terminal device to which the battery management device of the present application belongs;

[0032] Figure 2 A flow schematic diagram of a first exemplary embodiment of the battery management method of the present application;

[0033] Figure 3 A flow schematic diagram of a second exemplary embodiment of the battery management method of the present application;

[0034] Figure 4 A flow schematic diagram of a third exemplary embodiment of the battery management method of the present application;

[0035] Figure 5 A flow schematic diagram of a fourth exemplary embodiment of the battery management method of the present application;

[0036] Figure 6 A flow schematic diagram of a fifth exemplary embodiment of the battery management method of the present application;

[0037] Figure 7 A flow schematic diagram of a sixth exemplary embodiment of the battery management method of the present application;

[0038] Figure 8 A flow schematic diagram of a seventh exemplary embodiment of the battery management method of the present application.

[0039] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0040] It should be understood that the specific embodiments described herein merely set forth preferred combinations of components and / or other features, and that persons of ordinary skill in the art will appreciate that other combinations and / or configurations are possible and are contemplated.

[0041] The main solution of the embodiment of the present application is: obtaining vehicle information of a target vehicle; performing matching and calculation based on the vehicle information and a preset vehicle battery information library to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is obtained from different vehicles; correcting the battery remaining use time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle. Based on the solution of the present application, the vehicle battery information library stores battery information of different vehicles, the vehicle information of the target vehicle is obtained and matched and calculated with the vehicle battery information library, so that the battery remaining use time reference value corresponding to the vehicle information of the target vehicle can be obtained, and the battery remaining use time reference value reflects the battery remaining use time of the vehicle similar to the target vehicle. Considering the influence of user driving habits on battery consumption, the battery remaining use time reference value is corrected based on the pre-stored user driving data of the target vehicle, so that a more accurate battery remaining use time correction value of the target vehicle can be obtained, which adapts to the difference of different user driving habits and solves the problem of inaccurate battery remaining use time calculated by a traditional method.

[0042] Specifically, referring to Figure 1 , Figure 1 is a schematic diagram of a function module of a terminal device to which the battery management device of the present application belongs. The battery management device can be a device capable of battery management independent of the terminal device, which can be carried on the terminal device in the form of hardware or software. The terminal device can be a smart mobile terminal such as a mobile phone or a tablet computer having a data processing function, and can also be a fixed terminal device or a server having a data processing function.

[0043] In the embodiment, the terminal device to which the battery management device belongs at least includes an output module 110, a processor 120, a memory 130 and a communication module 140.

[0044] The memory 130 stores an operating system and a battery management program, and the battery management device can store information such as the vehicle information of the target vehicle obtained by the battery management device, the battery remaining use time reference value of the target vehicle obtained by matching and calculation based on the vehicle information and a preset vehicle battery information library, and the battery remaining use time correction value of the target vehicle obtained by correcting the battery remaining use time reference value based on pre-stored user driving data of the target vehicle in the memory 130; the output module 110 can be a display screen or the like. The communication module 140 can include a WIFI module, a mobile communication module and a Bluetooth module, and communicates with external devices or servers through the communication module 140.

[0045] When the battery management program in the memory 130 is executed by the processor, the following steps are implemented:

[0046] obtaining vehicle information of a target vehicle;

[0047] matching and calculating based on the vehicle information and a preset vehicle battery information library to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is obtained from different vehicles;

[0048] correcting the battery remaining use time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle.

[0049] Further, when the battery management program in the memory 130 is executed by the processor, the following steps are also implemented:

[0050] matching based on the vehicle model information and the battery model information with the preset vehicle battery information library to obtain a battery remaining use time reference value of at least one matching vehicle;

[0051] performing mean value calculation according to the battery remaining use time reference values of the at least one matching vehicle to obtain the battery remaining use time reference value of the target vehicle.

[0052] Further, when the battery management program in the memory 130 is executed by the processor, the following steps are also implemented:

[0053] recording and storing user driving data of the target vehicle, wherein the user driving data includes one or more of driving time data, battery start-up and shutdown data, and battery charging data.

[0054] Further, when the battery management program in the memory 130 is executed by the processor, the following steps are also implemented:

[0055] analyzing the pre-stored user driving data of the target vehicle to obtain a corresponding correction coefficient;

[0056] correcting the battery remaining use time reference value based on the correction coefficient to obtain the battery remaining use time of the target vehicle.

[0057] Further, when the battery management program in the memory 130 is executed by the processor, the following steps are also implemented:

[0058] if the battery remaining use time of the target vehicle meets a preset battery replacement prompt condition, pushing battery replacement prompt information to a user of the target vehicle.

[0059] Further, when the battery management program in the memory 130 is executed by the processor, the following steps are also implemented:

[0060] receive a user inputted battery replacement prompt condition setting instruction;

[0061] set the battery replacement prompt condition according to the battery replacement prompt condition setting instruction.

[0062] Further, the battery management program in the memory 130, when executed by the processor, also implements the following steps:

[0063] display the battery remaining use time correction value by the target vehicle.

[0064] In the embodiment, the vehicle battery information library stores battery information of different vehicles, the vehicle information of the target vehicle is obtained and matched and calculated with the vehicle battery information library, and thus the battery remaining use time reference value corresponding to the vehicle information of the target vehicle can be obtained. The battery remaining use time reference value reflects the battery remaining use time of a vehicle similar to the target vehicle. Considering the influence of the user driving habit on the battery consumption, the battery remaining use time reference value is corrected based on the pre-stored user driving data of the target vehicle, and thus a more accurate battery remaining use time correction value of the target vehicle can be obtained, which adapts to the difference between different user driving habits and solves the problem of inaccurate battery remaining use time calculated by a traditional method.

[0065] The execution subject involved in the first embodiment of the battery management method of the application can be a target vehicle or a server, or a battery management system composed of the target vehicle and the server.

[0066] Referring to Figure 2 The first embodiment of the battery management method of the application provides a flowchart, and the battery management method comprises the following steps.

[0067] S10, obtaining vehicle information of a target vehicle.

[0068] Specifically, different vehicles can be equipped with batteries of different models and specifications, and the capacity, nominal voltage, internal resistance, discharge termination voltage, and charging termination voltage of these batteries are different. Therefore, one of the prerequisites for accurately calculating the remaining use time of the battery is to obtain the correct battery information. The vehicle information of the target vehicle referred to in this embodiment refers to one or more of the vehicle model information, battery model information, user account information logged into the vehicle system, or vehicle identification code information. The battery information is highly related to the vehicle information.

[0069] In step S20, the vehicle information and the preset vehicle battery information library are matched and calculated to obtain the battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is obtained from different vehicles.

[0070] Specifically, the server continuously collects vehicle model information, battery model information, user account information, vehicle identification code information, user driving data, battery consumption information, battery charging information, and other battery management-related information of different vehicles, and stores the above information to form a vehicle battery information library containing a large amount of information. It can be understood that the vehicle battery information library is a kind of large database.

[0071] After obtaining the vehicle information of the target vehicle, the vehicle information of the target vehicle is matched with the vehicle battery information library. If the vehicle battery information library contains information similar to the vehicle information of the target vehicle, the vehicle corresponding to the information is determined as a matching vehicle.

[0072] For example, the vehicle information of the target vehicle includes vehicle model information and battery model information, wherein the vehicle model information corresponds to "vehicle model A", and the battery model information corresponds to "battery model B". Based on "vehicle model A" and "battery model B" as matching conditions, the vehicle battery information library is matched to obtain vehicle C and vehicle D that meet the matching conditions of "vehicle model A" and "battery model B". Then, vehicle C and vehicle D are determined as matching vehicle C and matching vehicle D.

[0073] In the case of successful matching, the battery remaining use time reference value of at least one matching vehicle is obtained. The battery remaining use time reference value refers to the local time from the current time to the time when the battery is not suitable for use, or the use time covering the remaining use life of the battery. For example, under normal driving intensity, the battery remaining use time reference value of matching vehicle C is 500 days, i.e., the battery of matching vehicle C is not suitable for continued use after 500 days. It is worth noting that the battery remaining use time reference value of the matching vehicle does not reflect the true battery remaining use time of the matching vehicle, but reflects the reference battery remaining use time of the target vehicle under the use condition of the matching vehicle.

[0074] The battery remaining usage time reference value is a numerical value with time unit, which can be month, day, hour, etc. After obtaining the battery remaining usage time reference values of the at least one matched vehicle, the battery remaining usage time reference value of the target vehicle is calculated based on the battery remaining usage time reference values of the at least one matched vehicle, and the median or average value is taken as the battery remaining usage time reference value of the target vehicle.

[0075] In another case, the vehicle information of the target vehicle matches the preset vehicle battery information library successfully, and the battery full usage time reference value of the at least one matched vehicle is obtained. The battery full usage time reference value refers to the full usage time of the battery from the factory to the time when the battery is not suitable for use, or the usage time reference value covering the full usage life of the battery. For example, the battery full usage time reference value of the matched vehicle E is 1800 days under the general driving intensity. Then, the battery full usage time reference value of the target vehicle is calculated based on the battery full usage time reference values of the at least one matched vehicle. In this case, the battery full usage time reference value needs to be adjusted based on the battery usage time of the target vehicle to obtain the battery remaining usage time reference value of the target vehicle. For example, the battery full usage time reference value of the target vehicle is calculated to be 1700 days, and the battery has been used for 1000 days, so the battery remaining usage time reference value of the target vehicle is 700 days.

[0076] In step S30, the battery remaining usage time reference value is corrected based on the pre-stored user driving data of the target vehicle to obtain the battery remaining usage time correction value of the target vehicle.

[0077] The battery remaining usage time correction value of the target vehicle involved in the embodiment refers to the actual battery remaining usage time value of the target vehicle.

[0078] The battery remaining usage time reference value does not consider the influence of the driving habits of the user of the target vehicle on the battery remaining usage time reference value. In fact, the driving habits of the user can make the actual battery remaining usage time value greater than or less than the battery remaining usage time reference value. For example, the battery remaining usage time reference value of the target vehicle model is 200 days, and the target vehicle model can correspond to user A and user B, wherein user A drives 8 hours per day, and user B drives 2 hours per day. Obviously, the driving intensity of user A is greater than that of user B, and the battery remaining usage time reference value of the target vehicle model cannot be applied to user A and user B at the same time.

[0079] In order to accurately calculate the actual value of the battery remaining use time of the target vehicle, the user driving data of the target vehicle is introduced to correct the reference value of the battery remaining use time of the target vehicle. Specifically, the user driving data of the target vehicle is continuously recorded and stored, and the user driving data includes one or more of driving time data, battery start-up and shutdown data, and battery charging data, reflecting the user's daily driving habits.

[0080] Further, based on the preset weight analysis rule, the weight corresponding to each type of user driving data of the target vehicle and the first correction coefficient are obtained. The weight of the user driving data reflects its importance in calculating the actual value of the battery remaining use time, and the sum of the weights of the multiple user driving data is 1. The first correction coefficient of the user driving data reflects its positive or negative impact on the battery remaining use time. For example, the first correction coefficient is based on 1, and greater than 1 indicates that the user driving data will prolong the battery remaining use time, and greater than 0 and less than 1 indicates that the user driving data will shorten the battery remaining use time. Then, the weight corresponding to each item of user driving data is multiplied by the first correction coefficient to obtain the first correction value corresponding to each item of user driving data, and the first correction values corresponding to all user driving data are added to obtain the second correction coefficient. Based on the second correction coefficient, the reference value of the battery remaining use time is corrected, and the corrected value of the battery remaining use time of the target vehicle is obtained, that is, the actual value of the battery remaining use time of the target vehicle is obtained.

[0081] For example, the reference value of the battery remaining use time of the target vehicle is 300 days, and the types of corresponding user driving data include data A (weight 0.1, first correction coefficient 1.3), data B (weight 0.3, first correction coefficient 0.8), data C (weight 0.1, first correction coefficient 1.2), and data D (weight 0.5, first correction coefficient 1.1). The first correction value corresponding to data A is 0.13, the first correction value corresponding to data B is 0.24, the first correction value corresponding to data C is 0.12, and the first correction value corresponding to data D is 0.55. The first correction values corresponding to data A, data B, data C, and data D are added to obtain the second correction coefficient 1.04, and then the second correction coefficient 1.04 is multiplied by the reference value of the battery remaining use time 300 days to obtain the corrected value of the battery remaining use time 312 days.

[0082] The embodiment obtains vehicle information of the target vehicle, matches and calculates the vehicle information and a preset vehicle battery information library to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is obtained from different vehicles, and corrects the battery remaining use time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle. In the embodiment, the vehicle battery information library stores battery information of different vehicles, the vehicle information of the target vehicle is obtained and matched and calculated with the vehicle battery information library, so that the battery remaining use time reference value corresponding to the vehicle information of the target vehicle is obtained, and the battery remaining use time reference value reflects the battery remaining use time of the vehicle similar to the target vehicle. Considering the influence of the user driving habit on the battery consumption, the battery remaining use time reference value is corrected based on the pre-stored user driving data of the target vehicle, so that a more accurate battery remaining use time correction value of the target vehicle is obtained, the difference of different user driving habits is adapted, and the problem of inaccurate battery remaining use time calculated by the traditional method is solved.

[0083] Further, with reference to Figure 3 , the second embodiment of the battery management method provides a flowchart, based on the above Figure 2 , the vehicle information includes vehicle model information and battery model information, and step S20 is based on the vehicle information and a preset vehicle battery information library to match and calculate to obtain a battery remaining use time reference value of the target vehicle, which is further refined and includes:

[0084] Step S201 is based on the vehicle model information and the battery model information to match the preset vehicle battery information library to obtain a battery remaining use time reference value of at least one matching vehicle.

[0085] Specifically, the server continuously collects vehicle model information, battery model information, user account information, vehicle identification code information, user driving data, battery consumption information and other information related to battery management of different vehicles, and stores the above information to form a vehicle battery information library containing a large amount of information. It can be understood that the vehicle battery information library is a kind of large database.

[0086] After obtaining the vehicle information of the target vehicle, the vehicle information of the target vehicle is matched with the vehicle battery information library, if the vehicle battery information library has information similar to the vehicle information of the target vehicle, the vehicle corresponding to the information is determined as a matching vehicle.

[0087] For example, the vehicle information of the target vehicle includes vehicle model information and battery model information, wherein the vehicle model information corresponds to "vehicle model A", and the battery model information corresponds to "battery model B". Based on "vehicle model A" and "battery model B" as matching conditions, the vehicle battery information library is matched to obtain vehicle C and vehicle D that meet the matching conditions of "vehicle model A" and "battery model B" at the same time, and then vehicle C and vehicle D are determined as matching vehicle C and matching vehicle D.

[0088] In the case of successful matching, the battery remaining use time reference value of at least one matching vehicle is obtained. The battery remaining use time reference value refers to the local time of the battery from the current time to the time when it is not suitable for use, or the use time covering the remaining use life of the battery. For example, under normal driving intensity, the battery remaining use time reference value of matching vehicle C is 500 days, that is, the battery of matching vehicle C is not suitable for continuous use after 500 days. It is worth noting that the battery remaining use time reference value of the matching vehicle does not reflect the real battery remaining use time of the matching vehicle, but reflects the reference battery remaining use time of the target vehicle under the use condition of the matching vehicle.

[0089] Step S202, mean value calculation is performed according to the battery remaining use time reference value of the at least one matching vehicle to obtain the battery remaining use time reference value of the target vehicle.

[0090] The battery remaining use time reference value is a numerical value with a time unit, and the time unit can be month, day, hour, etc. After obtaining the battery remaining use time reference value of the at least one matching vehicle, mean value calculation is needed to be performed based on the battery remaining use time reference value of the at least one matching vehicle, and the average is taken as the battery remaining use time reference value of the target vehicle.

[0091] For example, the battery remaining use time reference values corresponding to matching vehicle C and matching vehicle D are 600 days and 650 days respectively. Then, the average of the above two numerical values is 625 days, and 625 days is taken as the battery remaining use time reference value of the target vehicle, that is, the battery of the target vehicle is not suitable for continuous use after 625 days.

[0092] The embodiment obtains the battery remaining use time reference value of at least one matched vehicle by matching the vehicle model information and the battery model information with the preset vehicle battery information library, and calculates the battery remaining use time reference value of the target vehicle according to the battery remaining use time reference value of the at least one matched vehicle. In the embodiment, the vehicle model, the battery model and the vehicle battery information library of the target vehicle are matched to determine at least one matched vehicle of the same vehicle model and battery model, and the battery remaining use time reference value of the at least one matched vehicle is obtained, reflecting the reference battery remaining use time of the target vehicle under the use condition of the matched vehicle. Then, the battery remaining use time reference value of the target vehicle can be obtained by calculating based on the battery remaining use time reference value of the at least one matched vehicle, reflecting the reference battery remaining use time of the target vehicle based on the driving habits of general drivers. The battery remaining use time reference value of the target vehicle is actually a value matched by big data, and has higher reference value than the battery remaining use time calculated directly based on the battery information of the target vehicle.

[0093] Further, with reference to Figure 4 The third embodiment of the battery management method provides a flowchart, which is based on the above Figure 2 Before the step S10 of obtaining the vehicle information of the target vehicle, the method further includes:

[0094] In the step S001, the user driving data of the target vehicle is recorded and stored, wherein the user driving data includes one or more of driving duration data, battery start and shutdown data, and battery charging data.

[0095] The embodiment introduces the user driving data to reflect the daily driving habits of the user. The driving habits of the user can make the actual value of the battery remaining use time greater than or less than the reference value of the battery remaining use time. For example, charging at a very low power, overcharging, or frequently turning on and off the battery can shorten the battery life.

[0096] Specifically, the target vehicle or the server as the execution subject continuously records and stores the user driving data of the target vehicle, and the user driving data includes one or more of driving duration data, battery start and shutdown data, and battery charging data.

[0097] The embodiment records and stores the user driving data of the target vehicle, wherein the user driving data includes one or more of driving duration data, battery start-up and shut-down data, and battery charging data. The embodiment takes into account the influence of the user driving habit on the battery consumption, records and stores the user driving data of the target vehicle, so as to subsequently calculate a more accurate battery remaining use time of the target vehicle based on the user driving data.

[0098] Further, with reference to Figure 5 The fourth embodiment of the battery management method provides a flowchart, which is based on the above-mentioned Figure 2 The battery remaining use time correction value is the battery remaining use time, step S30, the battery remaining use time reference value is corrected based on the pre-stored user driving data of the target vehicle, to obtain the battery remaining use time correction value of the target vehicle, which is further refined, including:

[0099] Step S301, the pre-stored user driving data of the target vehicle is analyzed to obtain the corresponding correction coefficient.

[0100] The battery remaining use time correction value of the target vehicle referred to in the embodiment refers to the actual value of the battery remaining use time of the target vehicle.

[0101] The battery remaining use time reference value does not take into account the influence of the driving habit of the user of the target vehicle on the battery remaining use time reference value. In fact, the driving habit of the user will make the actual value of the battery remaining use time greater than or less than the battery remaining use time reference value. For example, the battery remaining use time reference value of the target vehicle is 200 days, and the target vehicle may correspond to user A and user B, wherein user A drives 8 hours per day, and user B drives 2 hours per day. Obviously, the driving intensity of user A is greater than that of user B, and therefore the battery remaining use time reference value of the target vehicle cannot be applied to both user A and user B.

[0102] In order to accurately calculate the actual value of the battery remaining use time of the target vehicle, the embodiment introduces the user driving data of the target vehicle to correct the battery remaining use time reference value of the target vehicle. Specifically, the user driving data of the target vehicle is continuously recorded and stored, and the user driving data includes one or more of driving duration data, battery start-up and shut-down data, and battery charging data, reflecting the daily driving habit of the user.

[0103] Further, the weight corresponding to each user driving data of the target vehicle and the first correction coefficient are obtained based on the preset weight analysis rule. The weight of the user driving data reflects the importance of the user driving data for calculating the actual value of the battery remaining usage time, and the sum of the weights of the multiple user driving data is 1. The first correction coefficient of the user driving data reflects the positive or negative influence of the user driving data on the battery remaining usage time. For example, the first correction coefficient is based on 1, and greater than 1 indicates that the user driving data will prolong the battery remaining usage time, and greater than 0 and less than 1 indicates that the user driving data will shorten the battery remaining usage time. Then, the weight corresponding to each user driving data is multiplied by the first correction coefficient to obtain the first correction value corresponding to each user driving data, and the first correction values corresponding to all user driving data are added to obtain the second correction coefficient.

[0104] For example, the battery remaining usage time reference value of the target vehicle is 300 days, and the types of the corresponding user driving data include data A (weight 0.1, first correction coefficient 1.3), data B (weight 0.3, first correction coefficient 0.8), data C (weight 0.1, first correction coefficient 1.2), and data D (weight 0.5, first correction coefficient 1.1). The first correction value corresponding to data A is 0.13, the first correction value corresponding to data B is 0.24, the first correction value corresponding to data C is 0.12, and the first correction value corresponding to data D is 0.55. The first correction values corresponding to data A, data B, data C, and data D are added to obtain the second correction coefficient 1.04.

[0105] In step S302, the battery remaining usage time reference value is corrected based on the correction coefficient to obtain the battery remaining usage time of the target vehicle.

[0106] Specifically, after obtaining the second correction coefficient in the previous step, the battery remaining usage time reference value is corrected based on the second correction coefficient to obtain the battery remaining usage time correction value of the target vehicle, that is, the actual value of the battery remaining usage time of the target vehicle. For example, the second correction coefficient 1.04 is multiplied by the battery remaining usage time reference value 300 days to obtain the battery remaining usage time correction value 312 days.

[0107] The embodiment obtains the corresponding correction coefficient by analyzing the pre-stored user driving data of the target vehicle, and corrects the battery remaining use time reference value based on the correction coefficient to obtain the battery remaining use days of the target vehicle. In the embodiment, the corresponding correction coefficient is obtained based on the user driving data of the target vehicle, which represents the influence of the driving habit of the user of the target vehicle on the battery consumption. The battery remaining use days of the target vehicle can be obtained by further correcting the battery remaining use time reference value based on the correction coefficient. The battery remaining use time of the target vehicle is selected to be represented by days, so that the user can directly know the battery remaining use time. In addition, the introduction of the user driving data improves the accuracy of the calculation result of the battery remaining use time.

[0108] Further, with reference to Figure 6 The fifth embodiment of the battery management method provides a flowchart, which is based on the above Figure 5 After step S302 of correcting the battery remaining use time reference value based on the correction coefficient to obtain the battery remaining use days of the target vehicle, the method further includes:

[0109] If the battery remaining use days of the target vehicle meet the preset battery replacement prompt condition, battery replacement prompt information is pushed to the user of the target vehicle.

[0110] If the user does not replace the battery of the target vehicle before the battery remaining use days are exhausted, the driving experience of the user will be reduced, and the driving safety will be affected. Therefore, the user can be reminded to replace the battery of the target vehicle in time before the battery remaining use days are exhausted.

[0111] Specifically, the battery replacement prompt trigger time can be set in advance, and the battery replacement prompt condition can be set based on the battery replacement prompt trigger time. When the battery remaining use days of the target vehicle meet the battery replacement prompt condition, battery replacement prompt information is pushed to the user of the target vehicle, so that the user of the target vehicle can replace the battery in time. For example, the battery replacement prompt trigger time is set to 30 days, and the content of the battery replacement prompt condition set based on the battery replacement prompt trigger time is: if the battery remaining use days are less than or equal to 30 days, the battery replacement prompt condition is met; if the battery remaining use days are greater than 30 days, the battery replacement prompt condition is not met.

[0112] More specifically, the way of pushing the battery replacement prompt information to the user of the target vehicle can be: ①pushing the battery replacement prompt information through the central control display screen of the target vehicle; ②playing the battery replacement prompt information through the loudspeaker of the target vehicle; and pushing the battery replacement prompt information to the mobile terminal associated with the user of the target vehicle. Similarly, the battery replacement prompt information can also be pushed to the user of the target vehicle in other ways.

[0113] The embodiment achieves the above purposes by the above scheme, specifically by pushing the battery replacement prompt information to the user of the target vehicle if the remaining use days of the battery of the target vehicle meet the preset battery replacement prompt condition. In the embodiment, the battery replacement prompt condition is preset considering that the battery life consumption will affect the user experience and driving safety, and the battery replacement prompt information is pushed to the user when the remaining use days of the battery of the target vehicle meet the battery replacement prompt condition, so that the user can learn the battery life in time and replace the new battery before the battery life is consumed, thereby improving the user experience and ensuring the driving safety.

[0114] Further, referring to Figure 7 , the sixth embodiment of the battery management method provides a flowchart, based on the above Figure 6 , the battery management method further includes:

[0115] Step S003, receiving the battery replacement prompt condition setting instruction input by the user.

[0116] Specifically, the battery replacement prompt condition can be automatically set (or default setting) or manually set by the user. In the manual setting case, a human-computer interaction interface is provided, and the user of the target vehicle can input the battery replacement prompt condition setting instruction through the human-computer interaction interface. The battery replacement prompt condition setting instruction includes a battery replacement prompt trigger time, and the unit of the battery replacement prompt trigger time can be day, week, month, etc., which is selectable. For example, the user inputs the battery replacement prompt condition setting instruction through the human-computer interaction interface, including the battery replacement prompt trigger time of 60 days.

[0117] Correspondingly, the target vehicle or the server as the execution subject receives the battery replacement prompt condition setting instruction input by the user.

[0118] Step S004, setting the battery replacement prompt condition according to the battery replacement prompt condition setting instruction.

[0119] After receiving the battery replacement prompt condition setting instruction input by the user, the battery replacement prompt trigger time is obtained by analyzing the battery replacement prompt condition setting instruction, and the battery replacement prompt condition is set based on the battery replacement prompt trigger time. For example, the battery replacement prompt trigger time is obtained by analyzing the battery replacement prompt condition setting instruction, and the battery replacement prompt condition is set based on 60 days. The content of the battery replacement prompt condition is: if the remaining use days of the battery are less than or equal to 60 days, the battery replacement prompt condition is met; if the remaining use days of the battery are greater than 60 days, the battery replacement prompt condition is not met.

[0120] The embodiment sets the battery replacement prompt condition according to the battery replacement prompt condition setting instruction. The embodiment provides a manual setting method of the battery replacement prompt condition. The user can input the battery replacement prompt condition setting instruction to set the battery replacement prompt condition. In other words, the manual setting method of the battery replacement prompt condition better meets the personalized needs of the user.

[0121] Further, with reference to Figure 8 The seventh embodiment of the battery management method of the present application provides a flowchart. Based on the above-mentioned Figure 2 The seventh embodiment of the battery management method of the present application provides a flowchart. Based on the above-mentioned

[0122] Step S005 displays the battery remaining use time correction value on the target vehicle.

[0123] Specifically, the target vehicle is provided with a display component, such as a center screen or a liquid crystal instrument panel. After obtaining the battery remaining use time correction value of the target vehicle, the battery remaining use time correction value is displayed on the display component of the target vehicle, so that the user can see the battery remaining use time correction value from the display component. For example, the battery remaining use time correction value is 60 days, and the information "the battery remaining use time is 60 days, please replace the battery in time" or "the battery life remaining is 60 days, please replace the battery in time" is displayed on the center screen of the target vehicle.

[0124] In addition, considering that the battery remaining use time correction value will gradually decrease until zero, a plurality of warning stages can be preset. The warning stage is actually a period of time. The corresponding warning stage is determined according to the battery remaining use time correction value, and the battery remaining use time correction value is displayed based on the corresponding color.

[0125] For example, preset early warning stage A, early warning stage B, early warning stage C. Among them, early warning stage A corresponds to more than 30 days, and the corresponding display color is green; early warning stage B corresponds to 10 to 30 days, and the corresponding display color is yellow; early warning stage C corresponds to less than 10 days, and the corresponding display color is red. Assuming that the battery remaining use time correction value is 35 days, then "battery life remaining 35 days, please replace the battery in time" can be displayed based on the green font; or the battery remaining use time correction value is 17 days, then "battery life remaining 17 days, please replace the battery in time" can be displayed based on the yellow font. Different colors can make users better distinguish the urgency of battery replacement. The above green, yellow and red represent the urgency in turn. In other words, displaying the battery remaining use time correction value in different colors can convey the urgency of battery replacement to the user, making the prompting process more humanized.

[0126] In the embodiment, the target vehicle's central control screen or liquid crystal instrument panel or the like display component can display the battery remaining use time correction value, and the user can directly see the battery remaining use time, enhancing the convenience of the battery replacement prompting process.

[0127] In addition, the application embodiment also proposes a battery management device, which comprises:

[0128] The acquisition module is configured to acquire vehicle information of a target vehicle.

[0129] The first calculation module is configured to match and calculate based on the vehicle information and a preset vehicle battery information library to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is obtained from different vehicles.

[0130] The second calculation module is configured to correct the battery remaining use time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle.

[0131] The first calculation module further comprises a matching unit and a first calculation unit. The matching unit is configured to match the vehicle model information and the battery model information with the preset vehicle battery information library to obtain a battery remaining use time reference value of at least one matching vehicle. The first calculation unit is configured to perform mean value calculation according to the battery remaining use time reference values of the at least one matching vehicle to obtain the battery remaining use time reference value of the target vehicle.

[0132] The battery management apparatus further comprises a driving data recording unit, configured to record and store user driving data of the target vehicle, wherein the user driving data comprises one or more of driving time data, battery start-up closing data, and battery charging data.

[0133] The second calculation module further comprises an analysis unit and a second calculation unit; the analysis unit is configured to analyze the pre-stored user driving data of the target vehicle to obtain a corresponding correction coefficient; and the second calculation unit is configured to correct the battery remaining use time reference value based on the correction coefficient to obtain the battery remaining use days of the target vehicle.

[0134] The battery management apparatus further comprises a battery replacement prompting unit; the battery replacement prompting unit is configured to, if the battery remaining use days of the target vehicle meet a preset battery replacement prompting condition, push battery replacement prompting information to a user of the target vehicle.

[0135] The battery management apparatus further comprises a receiving unit and a setting unit; the receiving unit is configured to receive a battery replacement prompting condition setting instruction input by a user; and the setting unit is configured to set the battery replacement prompting condition according to the battery replacement prompting condition setting instruction.

[0136] The battery management apparatus further comprises a display unit; the display unit is configured to display the battery remaining use time correction value on the target vehicle.

[0137] The principle and implementation process of the battery management are achieved, and details are not described herein again.

[0138] In addition, the embodiments of the present application further propose a terminal device, which comprises a memory, a processor, and a battery management program stored in the memory and executable on the processor, and the battery management program, when executed by the processor, implements the steps of the battery management method as described above.

[0139] Since the battery management program, when executed by the processor, adopts all the technical solutions of the foregoing all embodiments, it at least has all the beneficial effects brought by all the technical solutions of the foregoing all embodiments, and details are not described herein again.

[0140] In addition, the embodiments of the present application further propose a computer readable storage medium, which stores a battery management program, and the battery management program, when executed by a processor, implements the steps of the battery management method as described above.

[0141] Since the battery management program is executed by the processor, all the technical solutions of all the foregoing embodiments are adopted, and all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are at least achieved, which will not be repeated here.

[0142] Compared with the prior art, the battery management method, device, terminal equipment and storage medium provided by the embodiments of the application have the following advantages. The vehicle information of the target vehicle is acquired. The vehicle information and a preset vehicle battery information library are matched and calculated to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is acquired from different vehicles. The battery remaining use time reference value is corrected based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle. According to the scheme, the vehicle battery information library stores battery information of different vehicles. The vehicle information of the target vehicle is acquired and matched with the vehicle battery information library to calculate the battery remaining use time reference value corresponding to the vehicle information of the target vehicle. The battery remaining use time reference value reflects the battery remaining use time of a vehicle similar to the target vehicle. Considering the influence of user driving habits on battery consumption, the battery remaining use time reference value is corrected based on the pre-stored user driving data of the target vehicle to obtain a more accurate battery remaining use time correction value of the target vehicle, which adapts to the difference between different user driving habits and solves the problem of inaccurate battery remaining use time calculated by a traditional method.

[0143] It should be noted that in this document, the terms "comprise", "comprise", or any other variant thereof are intended to cover non-exclusive inclusion, so that processes, methods, articles or systems including a series of elements not only include those elements, but also include other elements not explicitly listed, or further include elements inherent to such processes, methods, articles or systems. Without more limitations, the element defined by the statement "comprises a" does not exclude the presence of another identical element in the process, method, article or system that includes the element.

[0144] The above-mentioned serial numbers of the embodiments of the application are only for description, and do not represent the advantages and disadvantages of the embodiments.

[0145] Those skilled in the art can clearly understand the above-mentioned embodiment method can be realized by means of software and the necessary general hardware platform, of course, can also be through hardware, but in many cases the former is a better embodiment. Based on such understanding, the technical solutions of the present application essentially or say the part of the prior art contribution can be embodied in the form of software products, the computer software product is stored in the above-mentioned storage medium (such as ROM / RAM, magnetic disc, optical disc), including a number of instructions to make a terminal device (may be a mobile phone, computer, server, controlled terminal, or network equipment, etc.) executes the method of each embodiment of the present application.

[0146] The above is only the preferred embodiment of the present application, not therefore limit the patent scope of the present application, any equivalent structure or equivalent process transformation using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A battery management method, characterized by, The battery management method comprises: obtaining vehicle information of a target vehicle; based on the vehicle information and a preset vehicle battery information library, matching and calculation are performed to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is obtained from different vehicles; based on pre-stored user driving data of the target vehicle, the battery remaining use time reference value is corrected to obtain a battery remaining use time correction value of the target vehicle; the battery remaining use time correction value is the battery remaining use days, and the step of correcting the battery remaining use time reference value based on the pre-stored user driving data of the target vehicle to obtain the battery remaining use time correction value of the target vehicle comprises: analyzing the pre-stored user driving data of the target vehicle to obtain a corresponding correction coefficient, obtaining a weight corresponding to each kind of user driving data of the target vehicle and a first correction coefficient based on a preset weight analysis rule, the weight is used to reflect the importance of calculating the actual value of the battery remaining use time, and the first correction coefficient is used to reflect the positive or negative influence on the battery remaining use time; multiplying the weight corresponding to each item of user driving data and the first correction coefficient to obtain a first correction value corresponding to each item of user driving data, adding the first correction values corresponding to all user driving data to obtain a second correction coefficient, and correcting the battery remaining use time reference value based on the second correction coefficient to obtain the battery remaining use days of the target vehicle.

2. The battery management method of claim 1, wherein, The vehicle information comprises vehicle model information and battery model information, and the step of matching and calculating based on the vehicle information and the preset vehicle battery information library to obtain the battery remaining use time reference value of the target vehicle comprises: based on the vehicle model information and the battery model information, the vehicle battery information library is matched to obtain the battery remaining use time reference value of at least one matched vehicle; the battery remaining use time reference values of the at least one matched vehicle are averaged to obtain the battery remaining use time reference value of the target vehicle.

3. The battery management method of claim 1, wherein, Before the step of obtaining the vehicle information of the target vehicle, the method further comprises: recording and storing user driving data of the target vehicle, wherein the user driving data comprises one or more of driving time data, battery start and shutdown data, and battery charging data.

4. The battery management method of claim 1, wherein, After the step of correcting the battery remaining use time reference value based on the correction coefficient to obtain the battery remaining use days of the target vehicle, the method further comprises: if the battery remaining use days of the target vehicle meet a preset battery replacement prompt condition, a battery replacement prompt information is pushed to the user of the target vehicle.

5. The battery management method of claim 4, wherein, The battery management method further comprises: receiving a battery replacement prompt condition setting instruction input by a user; setting the battery replacement prompt condition according to the battery replacement prompt condition setting instruction.

6. The battery management method of claim 1, wherein, After the step of correcting the battery remaining use time reference value based on the pre-stored user driving data of the target vehicle to obtain the battery remaining use time correction value of the target vehicle, the method further comprises: The battery remaining use time correction value is displayed by the target vehicle.

7. A battery management device, characterized by, The battery management device comprises: An acquisition module, configured to acquire vehicle information of a target vehicle; A first calculation module, configured to match and calculate based on the vehicle information and a preset vehicle battery information library to obtain a battery remaining use time reference value of the target vehicle, wherein the information of the vehicle battery information library is acquired from different vehicles; A second calculation module, configured to correct the battery remaining use time reference value based on pre-stored user driving data of the target vehicle to obtain a battery remaining use time correction value of the target vehicle; The battery remaining use time correction value is a battery remaining use time, and the second calculation module is further configured to: analyze the pre-stored user driving data of the target vehicle to obtain a corresponding correction coefficient, obtain a weight corresponding to each type of user driving data of the target vehicle and a first correction coefficient based on a preset weight analysis rule, the weight is used to reflect the importance of the calculation of the actual value of the battery remaining use time, and the first correction coefficient is used to reflect the positive or negative influence on the battery remaining use time; multiply the weight corresponding to each item of user driving data and the first correction coefficient to obtain a first correction value corresponding to each item of user driving data, add the first correction values corresponding to all user driving data to obtain a second correction coefficient, and correct the battery remaining use time reference value based on the second correction coefficient to obtain the battery remaining use time of the target vehicle.

8. A terminal device, comprising: The terminal device comprises a memory, a processor, and a battery management program stored on the memory and executable on the processor, and the battery management program is executed by the processor to implement the steps of the battery management method in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a battery management program, and the battery management program is executed by the processor to implement the steps of the battery management method in any one of claims 1-6.

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