Battery matching method and device, vehicle and storage medium
By calculating the energy and power matching degree of the battery matching scheme in HEV vehicles, and combining user needs and driving styles, the number and type of battery modules are optimized, solving the problem of battery depletion in HEV vehicles under certain scenarios, and improving user experience and battery combination flexibility.
Patent Information
- Application Number
- CN202511373227.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-24
- Publication Date
- 2025-11-07
AI Technical Summary
The small-capacity batteries in HEV vehicles are prone to rapid depletion of power in scenarios such as prolonged low-speed pure electric driving or frequent rapid acceleration, which prevents the motor from effectively assisting driving. The existing battery pack configuration and switching logic are rigid, resulting in a poor user driving experience.
By responding to the user-triggered battery matching function, the energy and power matching degrees of candidate battery matching schemes are determined. The target battery matching scheme is calculated and selected according to the user's needs, including the number, type and configuration of battery modules. Combined with driving style and weight adjustments, the battery combination is optimized to meet range and power requirements.
It enables precise adaptation of battery output to user driving needs in different scenarios, improves user driving experience and battery matching flexibility, ensures that battery performance meets user needs, and avoids safety risks or substandard performance caused by improper replacement.
Smart Images

Figure CN120902602A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of vehicles, in particular to a battery matching method, device, vehicle and storage medium. BACKGROUND
[0002] Under the background of rapid development of pure electric vehicles, hybrid electric vehicles (HEV) as a transition scheme from fuel vehicles to pure electric vehicles overcome the endurance anxiety and the pain of inconvenient power supply of pure electric vehicles with the power output of oil-electricity cooperation, and balance the endurance convenience of fuel vehicles and the low consumption characteristics of electric vehicles. The core logic of HEV vehicle is to make the engine always work in the high efficiency interval, and the motor assists to make up for the working condition difference, so as to maximize the reduction of fuel consumption and reduce exhaust emission, which has the advantages of fuel economy and low emission.
[0003] However, limited by the small capacity of the battery of the HEV vehicle, in the scene of long-time low-speed pure electric driving or frequent rapid acceleration with high frequency of motor intervention, the battery is easy to run out of power quickly, and thus the motor cannot effectively assist driving. In the related technology, the increase of battery endurance mileage is realized by designing a main battery pack and a sub-battery pack, and the input and output of the main battery pack and the sub-battery pack are controlled in the set working mode of the vehicle. However, the battery pack configuration and switching logic of the above-mentioned scheme are fixed, the flexibility is not high, and the driving experience of the user is not good. Therefore, how to improve the driving experience of the user is a problem to be solved at present. SUMMARY
[0004] The present application provides a battery matching method, device, vehicle and storage medium to solve the problem of poor driving experience of the user in the related technology.
[0005] In order to achieve the above-mentioned purpose, the technical scheme adopted by the present application is as follows:
[0006] In a first aspect, a battery matching method is provided, comprising: in response to a user triggering a battery matching function, determining an energy matching degree and a power matching degree of a candidate battery matching scheme; wherein the candidate battery matching scheme is used to indicate the number, type and configuration of the battery modules installed on the vehicle; the energy matching degree is used to represent the satisfaction degree of the candidate battery matching scheme to the energy demand of the user; the power matching degree is used to represent the satisfaction degree of the candidate battery matching scheme to the power demand of the user; based on the energy matching degree and the power matching degree of the candidate battery matching scheme, determining a target battery matching scheme from the candidate battery matching scheme.
[0007] Beneficial effects of the present application: By calculating the energy matching degree and the power matching degree of the candidate battery matching scheme according to the user's energy demand and power demand after triggering the battery matching function, the target battery matching scheme is determined from the candidate battery matching scheme, the number, type and configuration of the battery modules can be matched according to the differentiated needs of the user, not only the dual requirements of endurance and power can be met, but also the output of the battery in different scenarios can be accurately adapted to the driving needs of the user, and the driving experience of the user is improved.
[0008] Further, the energy matching degree is determined by: determining the energy matching degree of the candidate battery matching scheme and the user's energy demand according to the power of each battery module in the candidate battery matching scheme, the effective working interval of each battery module and the user's energy demand.
[0009] According to the above technical means, the energy matching degree is calculated by the power and the effective working interval of each battery module, so that the energy matching degree is more in line with the real ability of the battery that can support the user's energy demand, thereby improving the accuracy of the energy matching degree.
[0010] Further, the power matching degree is determined by: determining the power matching degree of the candidate battery matching scheme and the user's energy demand according to the power of each battery module in the candidate battery matching scheme and the user's power demand.
[0011] According to the above technical means, the power matching degree is calculated by the power of each battery module, which can accurately reflect the adaptation degree of the overall power output capability of the candidate battery matching scheme and the power demand of the user, thereby improving the reliability of the power matching degree.
[0012] Further, the above energy matching degree and power matching degree based on the candidate battery matching scheme are used to determine the target battery matching scheme from the candidate battery matching scheme, including: weighting and summing the energy matching degree and the power matching degree of the candidate battery matching scheme based on the weight of the energy matching degree and the weight of the power matching degree, to obtain the recommended score of the candidate battery matching scheme; the candidate battery matching scheme with the highest recommended score is determined as the target battery matching scheme.
[0013] According to the above technical means, by weighting the energy matching degree and the power matching degree, the differentiated preferences of the user for endurance and power can be accurately quantified, different weights are assigned to the energy matching degree and the power matching degree, and the recommended score of the candidate battery matching scheme can accurately reflect the core demands of the user.
[0014] Further, before the energy matching degree and the power matching degree of the candidate battery matching scheme are weighted and summed, the method further comprises: determining the weight of the energy matching degree and the weight of the power matching degree according to the driving style of the user.
[0015] According to the above technical means, by adjusting the weight of the energy matching degree and the weight of the power matching degree according to the driving style of the user, the comprehensive score of the candidate battery matching scheme can accurately meet the use requirements of the user, and the different requirements of different driving styles can be avoided due to the weight solidification, thereby improving the adaptability of the target battery matching scheme to the personal driving habit.
[0016] Further, the above method further comprises: in response to the weight adjustment instruction of the user, adjusting the weight of the energy matching degree and / or the weight of the power matching degree.
[0017] According to the above technical means, by adjusting the weight of the energy matching degree and the weight of the power matching degree according to the driving style of the user, the comprehensive score of the candidate battery matching scheme can accurately meet the use requirements of the user, and the different requirements of different driving styles can be avoided due to the weight solidification, thereby improving the adaptability of the target battery matching scheme to the personal driving habit.
[0018] Further, the above method further comprises: based on the installation information of the battery module on the vehicle and the target battery matching scheme, outputting a battery replacement suggestion, the battery replacement suggestion being used to indicate the position, type and configuration of the battery module that needs to be replaced or added on the vehicle.
[0019] According to the above technical means, by outputting the battery replacement suggestion, the difference between the existing installation information of the battery module and the target battery matching scheme can be converted into the battery replacement suggestion, and the specific position, type and other information of the battery module that needs to be replaced / added are clear, so as to avoid the safety risk or performance not meeting the standard caused by improper replacement of the user, and ensure that the final battery performance (range, power) of the user is consistent with the target battery matching scheme.
[0020] Further, the above method further comprises: obtaining battery running information of the vehicle after adopting the target battery matching scheme; determining the matching degree of the target battery matching scheme based on the battery running information of the target battery matching scheme, the matching degree being used to represent the matching degree of the target battery matching scheme to the driving requirements of the user; in the case that the matching degree of the target battery matching scheme is less than a preset matching degree threshold, re-triggering the battery matching function.
[0021] According to the above technical means, by obtaining the battery running information after adopting the target battery matching scheme, calculating the matching degree of the target battery matching scheme according to the battery running information, and determining whether the battery matching needs to be re-performed according to the matching degree of the target battery matching scheme, the adaptability of the target battery matching scheme to the current actual performance of the battery can be realized, thereby improving the robustness of the battery matching function and the stability of the user experience.
[0022] Further, the method further includes: in response to the user selecting the target scene mode, determining a target battery matching scheme corresponding to the target scene mode based on a mapping relationship between the scene mode and the battery matching scheme.
[0023] According to the above technical means, in a case where the vehicle is in the target scene mode, the target battery matching scheme is determined based on the mapping relationship between the scene mode and the battery matching scheme, the target battery matching scheme is directly determined through the target scene mode, the direct docking of the user demand and the battery performance is realized, the problems of insufficient energy or power that may occur in the conventional matching scheme are avoided, and the performance of the battery in the special scene is ensured to be optimal.
[0024] In a second aspect, a battery matching apparatus is provided, including: a determination unit configured to determine an energy matching degree and a power matching degree of a candidate battery matching scheme in response to a user triggering a battery matching function, wherein the candidate battery matching scheme is used to indicate a number, a type, and a configuration of a battery module installed on a vehicle, the energy matching degree is used to represent a satisfaction degree of the candidate battery matching scheme to an energy demand of the user, and the power matching degree is used to represent a satisfaction degree of the candidate battery matching scheme to a power demand of the user; and a processing unit configured to determine a target battery matching scheme from the candidate battery matching scheme based on the energy matching degree and the power matching degree of the candidate battery matching scheme.
[0025] In a third aspect, an electronic device is provided, including: a processor and a memory; the memory is used to store processor-executable instructions; and the processor is configured to execute the instructions to implement the method of the first aspect and any possible implementation thereof.
[0026] In a fourth aspect, a vehicle is provided, including the electronic device of the third aspect.
[0027] In a fifth aspect, a computer-readable storage medium is provided, when instructions in the computer-readable storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the method of the first aspect and any possible implementation thereof.
[0028] In a sixth aspect, a computer program product is provided, the computer program product includes computer instructions, when the computer instructions are run on an electronic device, the electronic device performs the method of the first aspect and any possible implementation thereof.
[0029] The beneficial effects of the present application are as follows:
[0030] (1) By calculating the energy matching degree and the power matching degree of the candidate battery matching scheme according to the user's energy demand and power demand after triggering the battery matching function, the target battery matching scheme can be determined from the candidate battery matching scheme. The number, type and configuration of the battery modules can be matched according to the differentiated needs of the user, not only meeting the dual requirements of endurance and power, but also accurately adapting the output of the battery to the driving needs of the user in different scenarios, improving the driving experience of the user.
[0031] (2) By calculating the energy matching degree based on the power of each battery module and the effective working interval, the energy matching degree is more in line with the actual ability of the battery to support the user's energy demand, thereby improving the accuracy of the energy matching degree.
[0032] (3) By calculating the power matching degree based on the power of each battery module, the overall power output capability of the candidate battery matching scheme and the adaptation degree of the user's power demand can be accurately reflected, thereby improving the reliability of the power matching degree.
[0033] (4) By weighting the energy matching degree and the power matching degree, the differentiated preferences of the user for endurance and power can be accurately quantified, and different weights can be assigned to the energy matching degree and the power matching degree, so that the recommended score of the candidate battery matching scheme can accurately reflect the core demands of the user.
[0034] (5) By adjusting the weights of the energy matching degree and the power matching degree according to the driving style of the user, the comprehensive score of the candidate battery matching scheme can accurately meet the user's usage needs, avoiding the neglect of different needs due to fixed weights, thereby improving the adaptability of the target battery matching scheme to individual driving habits.
[0035] (6) By adjusting the weights of the energy matching degree and the power matching degree through the user's weight adjustment instruction, the user can actively control the weight distribution according to the scene demand, so that the target battery matching scheme is more in line with the current needs of the user, further improving the flexibility and user autonomy of the battery matching.
[0036] (7) By outputting the battery replacement suggestion, the existing installation information of the battery module and the difference between the target battery matching scheme can be converted into a battery replacement suggestion, and the specific position, type and other information of the battery module that needs to be replaced / added are clearly specified, avoiding safety risks or performance not meeting the standards caused by improper replacement, and ensuring that the final battery performance (endurance, power) of the user is consistent with the target battery matching scheme.
[0037] (8) By acquiring the battery operation information after the target battery matching scheme is adopted, the matching degree of the target battery matching scheme is calculated according to the battery operation information, and it is judged whether the battery matching needs to be re-performed according to the matching degree of the target battery matching scheme. The target battery matching scheme can be adapted to the current actual performance of the battery, thereby improving the robustness of the battery matching function and the stability of the user experience.
[0038] (9) In the case that the vehicle is in the target scene mode, the target battery matching scheme is determined based on the mapping relationship between the scene mode and the battery matching scheme. The target battery matching scheme is directly determined through the target scene mode, which realizes the direct docking of user demand and battery performance, avoids the problem of insufficient energy or power that may occur in the conventional matching scheme, and ensures the optimal performance of the battery in the special scene. BRIEF DESCRIPTION OF DRAWINGS
[0039] Figure 1 A structural schematic diagram of a battery matching system according to an embodiment of the present application is shown.
[0040] Figure 2 A communication architecture schematic diagram of a battery matching system according to an embodiment of the present application is shown.
[0041] Figure 3 A flowchart of a battery matching method according to an embodiment of the present application is shown.
[0042] Figure 4 A flowchart of another battery matching method according to an embodiment of the present application is shown.
[0043] Figure 5 A flowchart of another battery matching method according to an embodiment of the present application is shown.
[0044] Figure 6 A flowchart of a battery module selection according to an embodiment of the present application is shown.
[0045] Figure 7 A flowchart of a battery module upgrade according to an embodiment of the present application is shown.
[0046] Figure 8 A structural schematic diagram of a battery matching device according to an embodiment of the present application is shown.
[0047] Figure 9 A structural schematic diagram of an electronic device according to an embodiment of the present application is shown. DETAILED DESCRIPTION
[0048] The present application will be described with reference to the attached drawings and preferred embodiments to provide an overall understanding of the present application. Those skilled in the art will readily obtain a complete understanding of the application from the disclosure herein and the attached drawings. The present application can be implemented or applied in other different specific embodiments, and various modifications or changes can be made to the details without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for illustrating the present application, but not for limiting the protection scope of the present application.
[0049] It should be noted that the diagrams provided in the following embodiments only schematically illustrate the basic concept of the present application, and only the components related to the present application are shown in the diagrams, not the number, shape and size of the components when actually implemented. The shape, number and proportion of each component when actually implemented can be arbitrarily changed, and the layout pattern of the components can be more complex.
[0050] Under the background of the rapid development of pure electric vehicles, hybrid electric vehicles (HEV) are a transitional solution from fuel vehicles to pure electric vehicles. With the power output of oil-electricity cooperation, HEV overcomes the range anxiety and the pain of power supply inconvenience of pure electric vehicles, and takes into account the convenience of fuel vehicle range and the low consumption characteristics of electric vehicles. The core logic of HEV vehicle is to make the engine always work in the high efficiency interval, and the motor assists to make up for the working condition difference, so as to maximize the reduction of fuel consumption and reduce exhaust emission, with the advantages of fuel economy and low emission.
[0051] However, due to the small capacity of the battery of the HEV vehicle, in the scene of long-time low-speed pure electric driving or frequent rapid acceleration with high frequency of motor intervention, the battery is easy to run out of power quickly, thereby causing the problem that the motor cannot effectively assist driving. In the related art, the user can adjust the working mode of the electric vehicle according to the user's own needs, and then adjust the input and output of the main power battery pack and the auxiliary power battery pack according to the working mode, so as to increase the battery range and improve the user experience.
[0052] However, the battery pack configuration and switching logic of the above-mentioned scheme are fixed, and the flexibility is insufficient, resulting in a low driving experience for users. Therefore, how to improve the driving experience of users is a problem to be solved at present.
[0053] Based on this, the application provides a battery matching method, device, vehicle and storage medium, comprising: in response to a user triggering a battery matching function, determining an energy matching degree and a power matching degree of a candidate battery matching scheme; wherein the candidate battery matching scheme is used to indicate the number, type and configuration of the battery modules installed on the vehicle; the energy matching degree is used to represent the degree of satisfaction of the candidate battery matching scheme to the energy demand of the user; the power matching degree is used to represent the degree of satisfaction of the candidate battery matching scheme to the power demand of the user; and based on the energy matching degree and the power matching degree of the candidate battery matching scheme, a target battery matching scheme is determined from the candidate battery matching scheme. By calculating the energy matching degree and the power matching degree of the candidate battery matching scheme according to the energy demand and the power demand of the user after triggering the battery matching function, the target battery matching scheme is determined from the candidate battery matching scheme, so that the number, type and configuration of the battery modules can be matched according to the differentiated demand of the user, not only the dual requirements of endurance and power can be met, but also the output of the battery in different scenes can be accurately adapted to the driving demand of the user, thereby improving the driving experience of the user.
[0054] In some embodiments, as shown in FIG. Figure 1 The application provides a structural diagram of a battery matching system, which is suitable for a hybrid vehicle, comprising: a battery main cabin 101, a battery auxiliary cabin 102, an energy distribution unit 103, a motor 104, an engine and generator module 105. The battery main cabin and the battery auxiliary cabin each comprise: a battery module 1011.
[0055] The battery module 1011 is a standardized battery module, which has a unified size and supports quick plugging and unplugging with the battery cabin interface design, facilitating modular expansion. The standardized battery module can also support power supply of external devices, and can be connected to household appliances or other devices through an interface adapter, thereby providing emergency power support for the vehicle.
[0056] The battery module 1011 can be a lithium iron phosphate battery, a ternary lithium battery, a sodium ion battery or a solid-state battery, without specific limitation.
[0057] The battery main cabin 101 and the battery auxiliary cabin 102 are used to install the battery module 1011. The battery main cabin 101 and the battery auxiliary cabin 102 are independent of each other, and can be independently maintained and upgraded when the battery module fails or needs performance iteration. In addition, the battery main cabin 101 and the battery auxiliary cabin 102 are expandable structures, and the user can add battery modules according to actual needs to realize flexible power expansion and backup function. Furthermore, the separation of the battery main cabin 101 and the battery auxiliary cabin 102 can realize energy backup, and if one of the battery cabins (the battery main cabin or the battery auxiliary cabin) fails, the battery module in the other cabin can provide energy without interrupting the current power output of the vehicle.
[0058] The energy distribution unit 103 is configured to determine a target battery matching scheme from the candidate battery matching schemes according to the energy demand of the user, and determine the battery modules in the main battery cabin and the auxiliary battery cabin according to the target battery matching scheme, so as to meet the personalized needs of the diversified user groups.
[0059] It should be understood that, due to the differences in the charge-discharge rate characteristics, temperature adaptation range and safety control strategy of different types of battery modules, different types of battery modules cannot be connected in series and parallel to work together, therefore, the types of the battery modules in the main cabin and the auxiliary cabin are the same, and the types of the battery modules between the main cabin and the auxiliary cabin can be different, so as to realize the accurate adaptation to the multi-element use demand of the user on the basis of avoiding the problems of charge-discharge imbalance and safety risk caused by the mixed connection of different types of batteries in the same cabin, realize the endurance of the vehicle through the differentiated combination of the types of the battery modules in the main cabin and the auxiliary cabin, and further improve the configuration flexibility and the whole life cycle adaptation capability of the battery system by replacing the battery modules of a cabin body in a targeted manner in the subsequent maintenance or upgrading, relying on the independent structure design of the main cabin and the auxiliary cabin.
[0060] In some embodiments, as shown in Figure 2 The communication architecture of the battery matching system includes a main battery cabin acquisition module 201, an auxiliary battery cabin acquisition module 202, an energy control module 203, a user interaction module 204 and a cloud communication module 205.
[0061] The main battery cabin acquisition module 201 and the auxiliary battery cabin acquisition module 202 are configured to continuously acquire the voltage, temperature and other key data of the battery cells (battery modules) in the main battery cabin and the auxiliary battery cabin. The main battery cabin acquisition module 201 and the auxiliary battery cabin acquisition module 202 communicate with the energy control module 203 through the differential signal lines CAN_L (low level line) and CAN_H (high level line) of the CAN bus, and send the temperature, voltage and other data of the battery cells to the energy control module 203.
[0062] The energy control module 203 is the core of the communication system, and integrates the functions of user demand analysis, battery module matching and energy control. The energy control module 203 is configured to determine a target battery matching scheme based on the temperature, voltage and other data of the battery cells and the driving demand of the user, and control the battery modules in the main battery cabin and the auxiliary battery cabin according to the target battery matching scheme, so as to meet the personalized needs of the diversified user groups. The energy control module 203 can be equivalent to an energy distribution unit.
[0063] The user interaction module 204 controls the vehicle to perform the corresponding state flow by receiving various operations of the user such as battery matching and weight adjustment. When the user triggers the battery matching function, the target battery matching scheme matched with the driving demand of the user is determined, or when the user triggers the weight adjustment instruction, the weights of the energy matching degree and the power matching degree are adjusted.
[0064] The cloud communication module 205 can receive the data of the temperature, voltage, etc. of the battery sent by the energy control module 203 and send the data to the cloud for uploading. The cloud can monitor the battery state in real time based on the data and complete software updating remotely. The cloud communication module 205 can also receive user driving data and accurately judge the power preference and energy demand of the user according to the data, thereby providing data support for subsequent battery configuration adjustment or power supply strategy optimization.
[0065] For example, when the vehicle has a long-distance driving demand at high speed, the energy control module determines that the battery modules in the main battery cabin and the auxiliary battery cabin cannot meet the driving demand of the user. The energy control module uploads the driving demand of the user to the cloud communication module. The cloud communication module obtains the inventory battery information of the battery replacement service network, combines the battery module information of the vehicle and the inventory battery information, generates a candidate battery matching scheme, and determines a target battery matching scheme from the candidate battery matching scheme.
[0066] It should be noted that the battery matching system and the communication architecture of the present application can also be applied to a pure electric vehicle. In the pure electric vehicle, the vehicle power system can omit the engine and generator module, and only retain the main battery cabin, auxiliary battery cabin, energy distribution module and motor.
[0067] In some embodiments, the battery matching method provided by the present application can be applied to the above-mentioned battery matching system or the energy distribution unit of the battery matching system. The energy distribution unit can be a vehicle controller, a regional controller, etc. in the vehicle, which is not limited here.
[0068] In some embodiments, as shown in Figure 3 The above-mentioned battery matching method comprises the following steps:
[0069] S301, in response to the user triggering the battery matching function, determining the energy matching degree and the power matching degree of the candidate battery matching scheme.
[0070] The candidate battery matching scheme is used to indicate the number, type and configuration of the battery modules installed on the vehicle. The energy matching degree is used to represent the satisfaction degree of the candidate battery matching scheme to the energy demand of the user. The power matching degree is used to represent the satisfaction degree of the candidate battery matching scheme to the power demand of the user.
[0071] The number of battery modules represents the number of battery modules that can be installed in the main battery compartment and the auxiliary battery compartment in the battery matching system of the vehicle, and the type of battery module represents the type of battery module that can be installed in the main battery compartment and the auxiliary battery compartment in the battery matching system of the vehicle, for example, can include: ternary lithium battery module, lithium iron phosphate battery module. The configuration of the battery module includes: performance parameters, physical adaptation parameters, and electrical parameters. The performance parameters can include: capacity, peak power, and cycle life. The electrical parameters can include: rated voltage, interface type, and charging rate. The physical adaptation parameters can include: size, weight, and the like.
[0072] As a possible implementation, the battery matching function can be triggered in response to the user switching the driving mode.
[0073] For example, when the user is commuting in the city, the user selects the "economy mode" through the center control screen. The system identifies that the user's demand is to extend the energy endurance, triggers the battery matching function, and screens the candidate battery matching scheme that can extend the energy endurance.
[0074] As a possible implementation, the above-mentioned determination of the candidate battery matching scheme can be implemented as follows: establishing a battery parameter library according to the type, number, power, energy, safety and environmental requirements and other parameters of the plurality of battery modules in the main battery compartment and the auxiliary battery compartment, arranging and combining the plurality of battery modules in the main battery compartment and the auxiliary battery compartment to obtain a plurality of initial battery matching schemes, screening the plurality of initial battery matching schemes according to the energy demand and power demand of the user, and selecting the initial battery matching scheme that can meet the energy demand and power demand of the user as the candidate battery matching scheme.
[0075] As a possible implementation, the above-mentioned determination of the candidate battery matching scheme can also be implemented as follows: preliminarily screening the basic battery matching scheme that meets the performance requirements according to the hardware limitations (battery compartment space, battery module type, etc.) of the vehicle and the energy demand and power demand of the user, then obtaining the battery inventory information of the cloud server or the battery replacement service network, and adaptively adjusting and feasibility screening the basic battery matching scheme according to the inventory information to obtain the candidate battery matching scheme. The battery inventory information includes: the type, number, and configuration of the inventory battery modules.
[0076] It should be noted that after obtaining the candidate battery matching scheme, the safety of the candidate battery matching scheme needs to be checked, and the scheme with safety hazards needs to be eliminated to ensure that the final candidate battery matching scheme will not cause risks such as short circuit, overheating, and structural damage in actual use.
[0077] In a possible implementation, the energy demand of the user can be determined according to the user's demand for city driving electric quantity, the user's demand for special scene electric quantity, the battery power retention rate corresponding to environmental changes, and the battery power change rate corresponding to battery aging.
[0078] Exemplarily, the energy demand of the user can be calculated by the following formula:
[0079] C 行驶 =S / E 100 Formula (1)
[0080] C 需求 =(C 行驶 +C 额外 )*n / SOH Formula (2)
[0081] wherein C 需求 is the energy demand of the user, C 行驶 is the user's demand for city driving electric quantity, C 额外 is the user's demand for special scene electric quantity, S is the pure electric range of the user's city driving, E 100 is the average 100-kilometer electric consumption, n is the battery power retention rate corresponding to environmental changes, and SOH is the battery power change rate corresponding to battery aging.
[0082] In a possible implementation, the power demand of the user can be determined according to the maximum instantaneous power of the vehicle, the battery power retention rate corresponding to environmental changes, and the battery power change rate corresponding to battery aging. The power demand of the user represents the peak power demand of the user.
[0083] Exemplarily, the power demand of the user can be calculated by the following formula:
[0084] P 需求 =P peak *m / SOH Formula (3)
[0085] wherein P 需求 is the user's demand for battery peak power, P peak is the maximum instantaneous power of the user's multiple accelerations, m is the battery power retention rate corresponding to environmental changes, and SOH is the battery power change rate corresponding to battery aging.
[0086] As a possible implementation, the energy matching degree is determined according to the electric quantity of each battery module in the candidate battery matching scheme, the effective working interval of each battery module, and the energy demand of the user.
[0087] The power matching degree is determined according to the power of each battery module in the candidate battery matching scheme and the power demand of the user.
[0088] In a possible implementation, the energy matching degree and the power matching degree are determined by the following formulas:
[0089] K E = (Ca * a * SOC 可用 + C b * b * SOC 可用 ) / C 需求 Formula (4)
[0090] K P = (P a * a + P b * b) / P 需求 Formula (5)
[0091] wherein K E is the energy matching degree, K P is the power matching degree, Ca and C b are the electric quantity of one battery module, P a and P b are the power of one battery module, SOC 可用 is the effective working interval of each battery module, and a and b are the number of battery modules that can be matched in the main battery cabin and the auxiliary battery cabin.
[0092] S302, based on the energy matching degree and the power matching degree of the candidate battery matching scheme, determining a target battery matching scheme from the candidate battery matching scheme.
[0093] As a possible implementation, the energy matching degree and the power matching degree of the candidate battery matching scheme are weighted and summed based on the weight of the energy matching degree and the weight of the power matching degree to obtain a recommended score of the candidate battery matching scheme; and the candidate battery matching scheme with the highest recommended score is determined as the target battery matching scheme.
[0094] It should be understood that by weighting the energy matching degree and the power matching degree, the differentiated preferences of the user for endurance and power can be accurately quantified, different weights are assigned to the energy matching degree and the power matching degree, and the recommended score of the candidate battery matching scheme can accurately reflect the core demands of the user.
[0095] In a possible implementation, the comprehensive matching degree of the candidate battery matching scheme is determined by formula (6), the recommended score of the candidate battery matching scheme is determined according to the comprehensive matching degree of the candidate battery matching scheme, and the greater the comprehensive matching degree, the better the candidate battery matching scheme meets the user's demand, and the higher the recommended score of the candidate battery matching scheme.
[0096] K = E ratio * min{K E , 1} + P ratio * min{Kp, 1} Formula (6)
[0097] wherein K is the comprehensive matching degree of the candidate battery matching scheme, E ratio is the weight of the energy demand, and P ratio is the weight of the power demand.
[0098] As another possible implementation, in order to further improve the practicability and comprehensive cost performance of the target battery matching scheme, the above determining the recommended score of the candidate battery matching scheme according to the comprehensive matching degree of the candidate battery matching scheme can also be implemented as: on the basis of the recommended score of the candidate battery matching scheme obtained by the comprehensive matching degree calculated based on the energy matching degree and the power matching degree, determining the number of battery modules, the life of the battery modules, and the cost of the battery modules three types of evaluation dimensions, and performing secondary scoring on the candidate battery matching scheme to obtain the recommended score of the candidate battery matching scheme that is more suitable for the actual use scenario.
[0099] It should be understood that for the battery module number dimension, the fewer the number of battery modules, the fewer the connection nodes of the modules in series and parallel connection, and the lower the risk of faults such as poor contact and line overheating, and accordingly the higher the recommended score. In the battery module life dimension, the longer the life of the battery modules, the lower the probability of replacing the battery modules, and the better the stability of the battery performance degradation, and therefore the higher the score of this dimension. For the battery module cost dimension, under the premise of ensuring that the modules meet the basic energy demand of the user, the lower the cost of the battery modules, the less the user's expenditure when purchasing the vehicle and the expenditure for later maintenance, and therefore the higher the score of this dimension.
[0100] In one possible implementation, the score of the candidate battery matching scheme under a single dimension is calculated, the weights corresponding to the three types of evaluation dimensions are determined, the secondary score of the candidate battery matching scheme is calculated according to the weights corresponding to the three types of evaluation dimensions and the respective scores, the final recommended score of the candidate battery matching scheme is obtained by weighting and fusing the secondary score and the recommended score of the candidate battery matching scheme obtained based on the comprehensive matching degree calculated based on the energy matching degree and the power matching degree.
[0101] In some embodiments, the weights of the number of battery modules, the life of the battery modules, and the cost of the battery modules can be determined according to the use scenario of the vehicle, for example, a domestic vehicle pays more attention to the use space and cost of the vehicle, and the weights of the number of battery modules and the cost of the battery modules can be appropriately increased, and a commercial vehicle pays more attention to the reliability of the vehicle, and therefore the weight of the life of the battery modules can be appropriately increased.
[0102] In other embodiments, the number of battery modules, the life of the battery modules, and the cost of the battery modules are not completely independent, but are mutually influenced, for example, increasing the number of battery modules can increase the cost of the battery modules. Therefore, according to the weights corresponding to the three types of evaluation dimensions and the respective scores, the secondary score of the candidate battery matching scheme is calculated, which can be realized as follows: determining the constraint relationship between the three types of evaluation dimensions, such as positive synergy, negative conflict, or obvious correlation between dimensions, determining the synergy coefficient between the three types of evaluation dimensions according to the constraint relationship between the dimensions, and after weighting and summing the weights corresponding to the three types of evaluation dimensions and the respective scores, multiplying the synergy coefficient between the dimensions to obtain the secondary score of the candidate battery matching scheme.
[0103] For example, the candidate battery matching schemes have A, B, and C schemes, and according to the energy matching degree and the power matching degree, the recommended scores of the A, B, and C schemes are 95, 94, and 92, respectively. The number of battery modules, the life of the battery modules, and the cost of the battery modules are added to the three dimensions of the A, B, and C schemes to obtain secondary scores of 90, 93, and 91, respectively, after the secondary scoring. The recommended score of the candidate battery matching scheme B is the highest, and the candidate battery matching scheme B is selected as the target battery matching scheme.
[0104] Therefore, by triggering the battery matching function, calculating the energy matching degree and the power matching degree of the candidate battery matching scheme according to the user's energy demand and power demand, and determining the target battery matching scheme from the candidate battery matching scheme, the number, type, and configuration of the battery modules can be matched according to the user's differentiated demand, not only meeting the dual requirements of endurance and power, but also accurately adapting the output of the battery to the user's driving demand in different scenarios, and improving the user's driving experience.
[0105] In some embodiments, different driving styles have different requirements for the endurance and power output of the vehicle, for example, a moderate driving user is more concerned about how to achieve longer endurance with the least energy, while an aggressive driving user is more concerned about whether the vehicle can obtain strong power response at any time. Therefore, before the energy matching degree and the power matching degree of the candidate battery matching scheme are weighted and summed, the above method further comprises: determining the weight of the energy matching degree and the weight of the power matching degree according to the driving style of the user.
[0106] As a possible implementation manner, historical driving data of the user is acquired, the historical driving data including: power demand data and energy consumption data, the power demand data including: frequency of sudden acceleration, proportion of high-speed driving, etc., and the energy consumption data including: average vehicle speed, frequency of braking, duration of low-speed driving, etc. A driving style type is determined, such as aggressive type, moderate type, and economical type. A neural network model is trained according to the labeled driving data and the corresponding driving style, and the historical driving data of the user is input into the trained neural network model. The neural network automatically learns the corresponding relationship between the historical driving data and the driving style, and the driving style of the user is obtained. A corresponding relationship between the driving style and the weight is established, and according to the driving style of the user, the mapping relationship between the driving style and the weight is traversed to obtain the weight of the energy matching degree and the weight of the power matching degree corresponding to the driving style of the user.
[0107] For example, for an aggressive user, the user pursues high performance and high power output, and often performs operations such as sudden acceleration and high-speed driving. The weight of the energy matching degree is set to be relatively high (such as 0.3), and the weight of the power matching degree is set to be relatively low (such as 0.7), so as to highlight the high-power performance of the battery to meet the demand for sudden acceleration. For an economical user, the user pays attention to low energy consumption and long endurance, and tends to drive gently and less sudden acceleration and sudden deceleration. The weight of the energy matching degree is set to be relatively high (such as 0.7), and the weight of the power matching degree is set to be relatively high (such as 0.3). The driving style of the user is relatively diversified, and both the endurance mileage and the power output are required, and the demand is balanced. The weight of the energy matching degree is set to be moderate (such as 0.5), and the weight of the power matching degree is set to be moderate (such as 0.5).
[0108] Therefore, by adjusting the weight of the energy matching degree and the weight of the power matching degree according to the driving style of the user, the comprehensive score of the candidate battery matching scheme can accurately meet the use demand of the user, and the different demands of different driving styles can be avoided due to the fixed weight, so as to improve the adaptability of the target battery matching scheme to the individual driving habit.
[0109] In some embodiments, only by adjusting the weight of the energy matching degree and the weight of the power matching degree according to the driving style, all driving scenes cannot be completely covered, and therefore, the above method further includes: in response to a weight adjustment instruction of the user, adjusting the weight of the energy matching degree and / or the weight of the power matching degree.
[0110] As a possible implementation manner, the central control device in the vehicle provides an adjustment control or a physical key, etc. that can adjust the matching degree, for example, the vehicle-mounted display screen displays the current weight of the energy matching degree and the weight of the power matching degree, and the user adjusts the weight of the energy matching degree and / or the weight of the power matching degree by triggering the adjustment control or the physical key, etc.
[0111] Exemplarily, assuming that the user's daily driving style is mild, the system automatically assigns the weight of the energy matching degree as 0.7 and the power matching degree as 0.3, at this time, the candidate battery matching scheme A with the highest recommendation score focuses more on the vehicle's endurance capability. The current user drives on mountain roads and needs to deal with climbing, and wants to improve the power priority, and then operates through the battery weight adjustment interface of the vehicle display screen: adjusts the weight of the energy matching degree and the weight of the power matching degree, the interface updates the score in real time, and the candidate battery matching scheme B becomes the new highest score scheme, and the user can directly select the scheme as the target battery matching scheme.
[0112] Therefore, by the user's weight adjustment instruction, adjusting the weight of the energy matching degree and the weight of the power matching degree, the user can actively control the weight distribution according to the scene demand, so that the target battery matching scheme is more suitable for the current demand of the user, and the flexibility and user autonomy of the battery matching are further improved.
[0113] In some embodiments, after the target battery matching scheme is determined, there may be differences with the current installed battery module configuration of the vehicle, and the existing battery module needs to be adjusted to meet the user's use demand. The above method further comprises: based on the installation information of the battery module on the vehicle and the target battery matching scheme, outputting a battery replacement suggestion, the battery replacement suggestion being used to indicate the position, type and configuration of the battery module that needs to be replaced or added on the vehicle.
[0114] The installation information of the battery module comprises at least one of the following: position information of the battery module, such as partition of the battery compartment, space size of each partition, position occupation state, parameters of the battery module, such as type, capacity, power, series-parallel connection mode, health degree, etc.
[0115] As a possible implementation manner, the installation information of the battery module can be obtained by the battery management system of the vehicle, the installation information of the battery module is compared with the target battery matching scheme item by item, the position, type and configuration of the battery module that needs to be replaced or added are obtained, and the output is performed through the user interaction module (vehicle display screen).
[0116] Exemplarily, assuming that the vehicle needs to meet the endurance demand of daily commuting on urban roads, the target battery matching scheme is that the battery main compartment is configured with one ternary lithium battery module and the battery auxiliary compartment is configured with two iron phosphate lithium battery modules. The installation information of the current battery module is that the main compartment is configured with one ternary lithium battery module and the auxiliary compartment is configured with one iron phosphate lithium battery module, and after comparison, it is found that the auxiliary compartment needs to be added with one iron phosphate lithium battery module. The output suggestion is that the auxiliary compartment is added with one iron phosphate lithium battery module through the vehicle display screen.
[0117] Thus, by outputting the battery replacement suggestion, the difference between the existing installation information of the battery module and the target battery matching scheme can be converted into a battery replacement suggestion, and the specific position, type, etc. of the battery module that needs to be replaced / added is determined, thereby avoiding safety risks or performance failures caused by improper replacement, and ensuring that the final battery performance (endurance, power) of the user is consistent with the target battery matching scheme.
[0118] In some embodiments, in some scenarios, such as extreme environments, high-frequency acceleration, etc., the target battery matching scheme is determined according to the energy matching degree and the power matching degree of the candidate battery matching scheme, which may not cover the requirements of these special scenarios on battery performance. Therefore, the above method further includes: in response to the user selecting a target scenario mode, determining a target battery matching scheme corresponding to the target scenario mode based on a mapping relationship between the scenario mode and the battery matching scheme.
[0119] For example, the user selects a race track mode, and matches the best ternary battery module in the power performance in the battery module library; the user selects an extreme temperature mode, and matches the best sodium ion battery module in the low temperature performance in the battery module library; the user selects an energy-saving comfort mode, and matches a large-capacity solid-state battery module in the battery module library, etc.
[0120] Thus, in the case that the vehicle is in the target scenario mode, the target battery matching scheme is determined based on the mapping relationship between the scenario mode and the battery matching scheme, the target battery matching scheme is directly determined by the target scenario mode, the direct docking of the user demand and the battery performance is realized, the problems of insufficient energy or power that may occur in the conventional matching scheme are avoided, and the optimal performance of the battery in the special scenario is ensured.
[0121] In some embodiments, the performance of the battery is not constant, and the performance of the battery is continuously degraded as the vehicle is continuously operated. The target battery matching scheme that originally adapts to the user demand may gradually fail to meet the user driving demand, such as Figure 4 As shown in the figure, the above method further includes:
[0122] S401, obtaining battery running information of the vehicle after the target battery matching scheme is adopted.
[0123] The battery running information can reflect the actual performance data of the battery module in the running process, and the performance of the battery module can be determined by monitoring the battery running information.
[0124] As a possible implementation manner, the battery operation information includes: battery health, actual storable power, discharge power, etc. The battery operation information of the vehicle after adopting the target battery matching scheme can be obtained through a battery management system (BMS) in the vehicle. The BMS can monitor the operation data of the battery module in real time.
[0125] S402, determine the matching degree of the target battery matching scheme based on the battery operation information of the target battery matching scheme.
[0126] The matching degree is used to represent the matching degree of the target battery matching scheme to the driving demand of the user.
[0127] As a possible implementation manner, the matching degree of the target battery matching scheme is determined based on the battery operation information of the target battery matching scheme, the energy matching degree and the power matching degree of the target battery matching scheme to the driving demand of the user are determined, the energy matching degree and the power matching degree of the target battery matching scheme are weighted and summed to obtain the matching degree of the target battery matching scheme.
[0128] It should be noted that the calculation process of the energy matching degree and the power matching degree of the target battery matching scheme can refer to the calculation process of the energy matching degree and the power matching degree of the candidate battery matching scheme, which will not be described here.
[0129] S403, in the case that the matching degree of the target battery matching scheme is less than a preset matching degree threshold, retrigger the battery matching function.
[0130] Exemplarily, when the matching degree of the target battery matching scheme is less than 0.8, the battery matching is reperformed. The vehicle is converted from the target driving mode to the intelligent driving mode, and the battery matching is reperformed.
[0131] Therefore, by obtaining the battery operation information after adopting the target battery matching scheme, calculating the matching degree of the target battery matching scheme according to the battery operation information, and determining whether the battery matching needs to be reperformed according to the matching degree of the target battery matching scheme, the adaptation of the target battery matching scheme to the current actual performance of the battery can be realized, thereby improving the robustness of the battery matching function and the stability of the user experience.
[0132] As shown in Figure 5 The present application provides another flowchart of a battery matching method, which includes:
[0133] S501, driving demand judgment. If it is an intelligent matching mode, S502 is executed, and if it is a target scene mode, S504 is executed.
[0134] As a possible implementation, the user can select the intelligent matching mode or the target scene mode according to the driving demand. The intelligent matching mode means that the system automatically matches the target battery matching scheme according to the user's driving demand. The target scene mode can include a race track mode (a scene with high power requirements), an energy-saving comfort mode (a scene suitable for urban driving, etc., focusing on economy and comfort), an extreme temperature mode (a scene suitable for polar scientific exploration, etc., in an extreme temperature environment), and the like.
[0135] If the user selects the target scene mode such as the race track mode, the energy-saving comfort mode, or the extreme temperature mode to directly enter the battery module selection S504, the target scene can be increased or decreased according to the scene attribute; if the intelligent matching mode is selected, the user demand collection S502 is entered.
[0136] S502, user demand collection.
[0137] As a possible implementation, historical data is collected through questionnaires, vehicle-mounted sensors, and the like. The historical data includes the user's driving style (such as aggressive type, economic type), travel demand (travel preference for power performance or NVH, etc., related to driving comfort), frequency and duration of extreme temperature (high temperature, low temperature), and external weather data and the like.
[0138] S503, user demand analysis.
[0139] As a possible implementation, the historical data is analyzed according to the data collected by the user demand collection, the future use demand and environmental changes are predicted, and the user's demand for battery energy and power is determined.
[0140] S504, battery module selection.
[0141] As a possible implementation, the battery database is looked up, the matching degree of the user demand and the battery module combination is calculated, and the optimal battery module selection scheme is generated. The battery database records the key performance indicators of each battery module, including energy, thermal balance power, temperature adaptability, capacity change of the battery at different temperatures, output power change at different temperatures, service life, and the like.
[0142] S505, system integration and user interface design.
[0143] As a possible implementation, an intuitive user interface is designed to display the current battery configuration, performance state, and recommended module selection. When the candidate battery matching scheme does not meet the use demand, the user is guided to quickly adjust the battery module configuration according to the demand at the corresponding service station.
[0144] S506, judge whether the user demand changes or the comprehensive matching degree is less than 0.8. If yes, return to the start process; if no, end the process.
[0145] After returning to the start flow, the battery matching is re-performed, the target battery matching scheme is generated, including the number, type and configuration of modules, the continuous improvement of system performance is ensured, and the user's needs are met throughout the life cycle.
[0146] As shown in Figure 6 , the present application provides a flowchart of battery module selection, including:
[0147] S601, the user selects a scene mode.
[0148] S602, in the target scene mode, the best battery matching scheme corresponding to the target scene is directly determined.
[0149] S603, in the intelligent matching mode, the energy matching degree, the power matching degree and the comprehensive matching degree are calculated.
[0150] S604, according to the comprehensive matching degree, the best battery matching scheme is obtained.
[0151] S605, the best battery matching scheme is output.
[0152] As shown in Figure 7 , the present application provides an upgrade flowchart of battery module, including:
[0153] It ensures seamless integration and performance optimization of new modules with vehicle systems. Through a series of steps such as module identification, cloud connection, software download, system upgrade, not only improves the user experience, but also enhances the reliability and safety of the system.
[0154] S701, detecting that the battery module is replaced.
[0155] As a possible implementation, each battery module has a unique identifier (such as a serial number), and when the module is pulled out or inserted into the battery main cabin or the battery sub-cabin, the battery management system (BMS) of the vehicle will scan and detect the change of the module.
[0156] S702, triggering the replacement event.
[0157] As a possible implementation, after detecting that the battery module is replaced, the battery management system records the information of the new module and marks that it needs to be upgraded by over-the-air technology (OTA) to adapt to the parameters and characteristics of the new battery module.
[0158] S703, obtaining the latest software package.
[0159] As a possible implementation, after verifying the vehicle identity and authority, the battery management system queries the cloud server according to the information of the new module to obtain the latest firmware and software version applicable to the battery module. After confirming the compatible version, the battery management system starts downloading the firmware package and software update package matching the new battery module to ensure the integrity of the download.
[0160] S704, performing software upgrade.
[0161] S705, system restart and verification.
[0162] After updating, restart and self-check to ensure that the functions of each module are running normally.
[0163] S706, notifying the user and recording feedback.
[0164] Through the vehicle display screen or mobile application, the user is sent a prompt message that the upgrade is complete, so that the user knows that the system has been updated. Provide feedback channels to users to collect user experience and problems after upgrading to continuously improve the upgrade process.
[0165] S707, continuous monitoring and updating.
[0166] Continuously monitor the running state of the battery module, and regularly push software updates according to the use data and feedback of the new module to improve the compatibility and performance of the system.
[0167] The above mainly introduces the scheme provided by the embodiments of the application from the perspective of the method. In order to realize the above functions, the battery matching device or electronic device includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in the present application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in hardware or computer software driven hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.
[0168] The embodiments of the present application can divide the functional modules of the battery matching device or electronic device according to the above method, for example, the battery matching device or electronic device can include each functional module corresponding to each functional division, or two or more functions can be integrated in one processing module. The integrated module can be realized in the form of hardware or software functional module. It should be noted that the division of modules in the embodiments of the present application is illustrative, and is only a logical functional division. Actual implementation can have another division method.
[0169] In some embodiments, referring to Figure 8 The battery matching device 800 provided by the embodiments of the present application comprises a determination unit 801 and a processing unit 802.
[0170] The determination unit 801 is configured to determine an energy matching degree and a power matching degree of a candidate battery matching scheme in response to a user triggering a battery matching function, wherein the candidate battery matching scheme is used to indicate a number, a type and a configuration of battery modules installed on a vehicle, the energy matching degree is used to represent a degree of satisfaction of the candidate battery matching scheme to an energy demand of the user, and the power matching degree is used to represent a degree of satisfaction of the candidate battery matching scheme to a power demand of the user.
[0171] The processing unit 802 is configured to determine a target battery matching scheme from the candidate battery matching scheme based on the energy matching degree and the power matching degree of the candidate battery matching scheme.
[0172] In some embodiments, the processing unit 802 is specifically configured to determine the energy matching degree of the candidate battery matching scheme and the energy demand of the user according to an electric quantity of each battery module in the candidate battery matching scheme, an effective working interval of each battery module and the energy demand of the user.
[0173] In some embodiments, the processing unit 802 is specifically configured to determine the power matching degree of the candidate battery matching scheme and the power demand of the user according to a power of each battery module in the candidate battery matching scheme and the power demand of the user.
[0174] In some embodiments, the processing unit 802 is specifically configured to perform weighted summation on the energy matching degree and the power matching degree of the candidate battery matching scheme based on a weight of the energy matching degree and a weight of the power matching degree, to obtain a recommended score of the candidate battery matching scheme, and determine the candidate battery matching scheme with the highest recommended score as the target battery matching scheme.
[0175] In some embodiments, before performing the weighted summation on the energy matching degree and the power matching degree of the candidate battery matching scheme, the processing unit 802 is further configured to determine the weight of the energy matching degree and the weight of the power matching degree according to a driving style of the user.
[0176] In some embodiments, the processing unit 802 is further configured to adjust the weight of the energy matching degree and / or the weight of the power matching degree in response to a weight adjustment instruction of the user.
[0177] In some embodiments, the processing unit 802 is further configured to output a battery replacement suggestion based on the installation information of the battery modules on the vehicle and the target battery matching scheme, wherein the battery replacement suggestion is used to indicate a position, a type and a configuration of a battery module that needs to be replaced or added on the vehicle.
[0178] In some embodiments, the processing unit 802 is further configured to acquire battery operation information of the vehicle after the target battery matching scheme is adopted; determine a matching degree of the target battery matching scheme based on the battery operation information of the target battery matching scheme, the matching degree being used to represent a matching degree of the target battery matching scheme to the driving demand of the user; and re-trigger the battery matching function in a case where the matching degree of the target battery matching scheme is less than a preset matching degree threshold.
[0179] In some embodiments, the processing unit 802 is further configured to, in response to the user selecting a target scene mode, determine a target battery matching scheme corresponding to the target scene mode based on a mapping relationship between the scene mode and the battery matching scheme.
[0180] As shown in Figure 9 The electronic device 900 provided by the embodiments of the present application includes but is not limited to a processor 901 and a memory 902.
[0181] The memory 902 is configured to store executable instructions of the processor 901. It can be understood that the processor 901 is configured to execute the instructions to implement the method in the above embodiments.
[0182] It should be explained that those skilled in the art can understand that the electronic device structure shown in Figure 9 does not constitute a limitation on the electronic device 900. The electronic device 900 can include more or fewer components than those shown in Figure 9 , or combine certain components, or different component arrangements.
[0183] The processor 901 is the control center of the electronic device 900, which connects each part of the electronic device 900 through various interfaces and lines, executes the software programs and / or modules stored in the memory 902 and calls the data stored in the memory 902, performs various functions and processes data of the electronic device 900, and thus monitors the whole electronic device 900. The processor 901 can include one or more processing units. Optionally, the processor 901 can integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, and the modem processor mainly processes wireless communication. It can be understood that the modem processor can also not be integrated into the processor 901.
[0184] The memory 902 can be used to store software programs and various data. The memory 902 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs (such as a determination unit, a processing unit, etc.) required by at least one function module, and the like. In addition, the memory 902 can include a high-speed random access memory, and can also include a non-volatile memory, for example, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state memory device.
[0185] In an example embodiment, a computer readable storage medium including instructions, for example, the memory 902 including instructions, is also provided, which can be executed by the processor 901 of the electronic device 900 to implement the method in the above embodiment.
[0186] In actual implementation, Figure 8 The functions of the determination unit 801 and the processing unit 802 in the above embodiment can be implemented by Figure 9 The processor 901 in the above embodiment can call the computer program stored in the memory 902 to implement. The specific execution process can refer to the description of the method part in the above embodiment, and will not be described here.
[0187] Alternatively, the computer readable storage medium can be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium can be a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a compact disc read-only memory (Compact Disc Read-Only Memory, CD-ROM), a magnetic tape, a floppy disk, and an optical data storage device, etc.
[0188] In an example embodiment, the embodiments of the present application also provide a computer program product including one or more instructions, which can be executed by the processor of the electronic device to complete the method in the above embodiment.
[0189] It should be noted that the instructions in the above computer readable storage medium or the one or more instructions in the computer program product are executed by the processor of the electronic device to implement each process of the above method embodiment, and can achieve the same technical effect as the above method. To avoid repetition, it will not be described here.
[0190] Through the description of the above embodiments, those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional modules is taken as an example for illustration, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.
[0191] In several embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other manners. For example, the division of the apparatus embodiments is merely illustrative, and for example, the division of the modules or units can not mean physical division, and for example, a plurality of units or components can be combined or integrated into another device, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.
[0192] The units described as separate components may or can not be physically separate, and the components shown as units can be one physical unit or multiple physical units, i.e., can be located in one place, or can be distributed in multiple different places. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments.
[0193] In addition, each functional unit in the various embodiments of the present application can be integrated into one processing unit, or each unit can be a physically independent unit, or two or more units can be integrated into one unit. The integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
[0194] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application essentially or the parts that make contributions to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to make a device (which can be a single chip, a chip, etc.) or a processor execute all or part of the steps of the various embodiments of the method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, ROM, RAM, magnetic disk or optical disk, and various media that can store program codes.
[0195] The above embodiments are merely preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Any equivalent replacement or transformation of the present application based on the present application is within the protection scope of the present application.
Claims
1. A battery matching method, characterized by, The method comprises: in response to a user triggering a battery matching function, determining an energy matching degree and a power matching degree of a candidate battery matching scheme; wherein the candidate battery matching scheme is used to indicate the number, type and configuration of battery modules installed on a vehicle; the energy matching degree is used to represent the degree of satisfaction of the candidate battery matching scheme to the energy demand of the user; and the power matching degree is used to represent the degree of satisfaction of the candidate battery matching scheme to the power demand of the user; based on the energy matching degree and the power matching degree of the candidate battery matching scheme, determining a target battery matching scheme from the candidate battery matching schemes.
2. The method of claim 1, wherein, The energy matching degree is determined by: according to the power of each battery module in the candidate battery matching scheme, and the power demand of the user, determining the power matching degree of the candidate battery matching scheme and the energy demand of the user.
3. The method of claim 1, wherein, The power matching degree is determined by: according to the power of each battery module in the candidate battery matching scheme, and the power demand of the user, determining the power matching degree of the candidate battery matching scheme and the energy demand of the user.
4. The method of claim 1, wherein, The method further comprises: based on the weight of the energy matching degree and the weight of the power matching degree, weighting and summing the energy matching degree and the power matching degree of the candidate battery matching scheme to obtain a recommended score of the candidate battery matching scheme; determining the candidate battery matching scheme with the highest recommended score as the target battery matching scheme.
5. The method of claim 4, wherein, Before the weighting and summing of the energy matching degree and the power matching degree of the candidate battery matching scheme, the method further comprises: determining the weight of the energy matching degree and the weight of the power matching degree according to the driving style of the user.
6. The method of claim 5, wherein, The method further comprises: in response to the user's weight adjustment instruction, adjusting the weight of the energy matching degree and / or the weight of the power matching degree.
7. The method according to any one of claims 1 to 6, characterized in that, The method further comprises: based on the installation information of the battery modules on the vehicle and the target battery matching scheme, outputting a battery replacement suggestion, the battery replacement suggestion being used to indicate the position, type and configuration of the battery modules that need to be replaced or added on the vehicle.
8. The method according to any one of claims 1 to 6, characterized in that, The method further comprises: obtaining battery running information of the vehicle after adopting the target battery matching scheme; based on the battery running information of the target battery matching scheme, determining a matching degree of the target battery matching scheme, the matching degree being used to represent the matching degree of the target battery matching scheme to the driving demand of the user; in the case that the matching degree of the target battery matching scheme is less than a preset matching degree threshold, retriggering the battery matching function.
9. The method according to any one of claims 1 to 6, characterized in that, The method further comprises: in response to the user selecting a target scene mode, determining a target battery matching scheme corresponding to the target scene mode based on a mapping relationship between scene modes and battery matching schemes.
10. An electronic device, comprising: comprise: a processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method of any one of claims 1-9.
11. A vehicle characterized by comprising: Comprising: The electronic device of claim 10.
12. A computer-readable storage medium, characterized in that, The electronic device is capable of performing the method of any one of claims 1-9 when computer-executable instructions stored in the computer-readable storage medium are executed by a processor of the electronic device.