Battery adaptive vehicle type evaluation method and device, and storage medium

Abstract

The invention discloses a battery adaptive vehicle type evaluation method and device and a storage medium, and relates to the technical field of battery swap station operation. The method comprises the following steps: acquiring battery replacement data of a battery replacement station, and determining the number of battery replacement batteries based on the battery replacement data to obtain the saturation of the battery replacement batteries; acquiring data of a new network access vehicle, and determining vehicle type information; according to the vehicle type information, determining the battery replacement battery parameters of the network access vehicle, and judging the vehicle-electricity adaptation relationship of the new network access vehicle based on the battery replacement battery parameters of the network access vehicle and the battery replacement data; and judging whether the number of the battery replacement batteries meets a preset battery replacement requirement or not based on the battery replacement battery saturation and the vehicle power adaptation relationship. The technical problem that according to an existing scheme, the number of the batteries is prone to being in a supersaturated state, and therefore battery resources and funds are wasted is solved.

Description

[0001] This application claims priority based on the invention patent application filed with the Chinese Patent Office on December 29, 2023, with application number 202311872266.0 and invention name “A battery adaptation vehicle model evaluation method, device and storage medium”. This application cites the full text of the above Chinese patent application. Technical Field

[0002] The present application relates to the technical field of battery swap station operation, and in particular to a battery-adaptable vehicle model evaluation method, device and storage medium. Background Art

[0003] With the popularity of new energy vehicles, more and more new energy vehicle models are gradually entering the market, and at the same time, higher requirements are put forward for the matching battery ratio of battery swap stations. In this context, the reasonable configuration of batteries has become a problem faced by operators. In the process of configuring batteries, the tricky thing is how to evaluate the corresponding required matching batteries through the data volume of newly added vehicles. The existing solution is to evaluate the corresponding battery purchase demand based on the future vehicle volume of the corresponding model, specifically using the vehicle-to-battery ratio as an evaluation parameter and purchasing batteries based on the model; however, the problem with the existing solution is that if the newly added vehicle model is compatible with the existing battery, applying to purchase batteries with the newly added model will easily cause the number of batteries to be oversaturated, resulting in a waste of battery resources and funds. Summary of the invention

[0004] The embodiments of the present application provide a battery-compatible vehicle model evaluation method, device and storage medium, which solve the technical problem that when a new vehicle model is compatible with an existing battery, the existing solution easily causes the number of batteries to be oversaturated, thereby resulting in a waste of battery resources and funds.

[0005] In a first aspect, an embodiment of the present application provides a battery-adaptable vehicle model evaluation method, characterized in that the method includes: obtaining battery swap data of a battery swap station, and based on the battery swap data, determining the number of battery swap batteries to obtain the battery swap battery saturation; obtaining data of newly-connected vehicles to determine vehicle type information; determining battery swap battery parameters of the connected vehicle based on the vehicle type information, and judging the vehicle-battery adaptation relationship of the newly-connected vehicle based on the battery swap battery parameters and battery swap data of the connected vehicle; judging whether the number of battery swap batteries meets the preset battery swap requirements based on the battery swap battery saturation and the vehicle-battery adaptation relationship.

[0006] In an implementation manner of the present application, the replacement power data of the replacement power station is obtained, and based on the replacement power data, the number of replacement power batteries is determined to obtain the saturation degree of the replacement power batteries, which specifically includes: based on the replacement power data of the replacement power station, through preset information screening and processing, the replacement power data is determined; wherein, the replacement power data includes: the type of replacement power battery, the parameters of the replacement power battery, and the historical vehicle type; according to the type of replacement power battery, the number of replacement power batteries corresponding to the type of replacement power battery is determined; based on the number of replacement power batteries, through the preset historical demand quantity of the replacement power batteries, the saturation degree of the replacement power batteries is determined.

[0007] In an implementation manner of the present application, after obtaining the data of newly networked vehicles and determining the vehicle type information, the method further includes: based on the replacement power data, obtaining the replacement power battery type data to determine the replacement power battery type number; querying the replacement record data corresponding to the replacement power data to determine the vehicle-battery mapping relationship corresponding to the replacement power data; based on the replacement power battery type number, through the vehicle-battery mapping relationship, determining the vehicle-battery adaptation relationship.

[0008] In an implementation manner of the present application, according to the vehicle type information, the replacement power battery parameters of the networked vehicles are determined, and based on the replacement power battery parameters of the networked vehicles and the replacement power data, the vehicle-battery adaptation relationship of the newly networked vehicles is judged, which specifically includes: according to the vehicle type information, querying the city networked vehicle database to determine the replacement power battery parameters of the networked vehicles; wherein, the replacement power battery parameters of the networked vehicles include: the number of parallel-connected replacement power batteries, the number of series-connected replacement power batteries, and the rated power of the replacement power battery; based on the replacement power battery parameters of the networked vehicles and the replacement power battery parameters, through parameter comparison, judging whether there is a replacement power battery type in the existing replacement power batteries that matches the vehicle type information, and obtaining an adaptation judgment result; according to the adaptation judgment result, determining the vehicle-battery adaptation relationship.

[0009] In an implementation manner of the present application, based on the saturation degree of the replacement power batteries and the vehicle-battery adaptation relationship, it is judged whether the number of replacement power batteries meets the preset replacement power demand, which specifically includes: based on the vehicle-battery adaptation relationship, determining the corresponding replacement power battery type; according to the replacement power battery type, querying the saturation degree of the replacement power batteries to determine the number of replacement power batteries; based on the number of replacement power batteries, judging whether the number of replacement power batteries is greater than the preset replacement power demand, and obtaining an evaluation judgment result.

[0010] In an implementation manner of the present application, based on the parameters of the battery for battery swapping of the networked vehicle and the battery parameters for battery swapping, by comparing the parameters, it is determined whether there is a battery swapping type that matches the vehicle type information among the existing batteries for battery swapping, and an adaptation judgment result is obtained. Specifically, it includes: according to the battery parameters for battery swapping of the networked vehicle, by querying the battery parameters for battery swapping based on the number of parallel-connected batteries for battery swapping, the number of series-connected batteries for battery swapping, and the rated power of the battery for battery swapping, a query result is obtained; according to the query result, in the case where there is a battery swapping type that matches the vehicle type information among the existing batteries for battery swapping, the adaptation judgment result is that the corresponding existing battery swapping type is adapted to the vehicle type information; in the case where there is no battery swapping type that matches the vehicle type information among the existing batteries for battery swapping, the adaptation judgment result is that the corresponding existing battery swapping type is not adapted to the vehicle type information; in the case where the corresponding existing battery swapping type is not adapted to the vehicle type information, the number of batteries for battery swapping to be purchased is determined according to the number of vehicles corresponding to the vehicle type information.

[0011] In an implementation manner of the present application, based on the number of batteries for battery swapping, it is determined whether the number of batteries for battery swapping is greater than the preset battery swapping demand, and an evaluation judgment result is obtained. Specifically, it includes: in the case where the number of batteries for battery swapping is greater than the preset battery swapping demand, the evaluation judgment result is that there is no need to purchase batteries for battery swapping; in the case where the number of batteries for battery swapping is not greater than the preset battery swapping demand, it is determined whether the number of batteries for battery swapping is equal to the preset battery swapping demand; in the case where the number of batteries for battery swapping is not equal to the preset battery swapping demand, the evaluation judgment result is that batteries for battery swapping need to be purchased.

[0012] In an implementation manner of the present application, after determining whether the number of batteries for battery swapping meets the preset future battery swapping demand based on the battery swapping saturation and the vehicle-battery adaptation relationship, and obtaining the battery adaptation vehicle type evaluation data according to the judgment result, the method further includes: based on the battery adaptation vehicle type evaluation data, determining the number of surplus batteries for battery swapping or the number of batteries for battery swapping to be purchased.

[0013] In a second aspect, an embodiment of the present application further provides a battery adaptation vehicle type evaluation device, which is characterized in that the device includes: a battery swapping data module, configured to obtain the battery swapping data of the battery swapping station, and based on the battery swapping data, determine the number of batteries for battery swapping to obtain the battery swapping saturation; a vehicle data module, configured to obtain the data of newly networked vehicles and determine the vehicle type information; a vehicle-battery adaptation module, configured to determine the battery parameters for battery swapping of the networked vehicle according to the vehicle type information, and judge the vehicle-battery adaptation relationship of the newly networked vehicle based on the battery parameters for battery swapping of the networked vehicle and the battery swapping data; a demand judgment module, configured to judge whether the number of batteries for battery swapping meets the preset battery swapping demand based on the battery swapping saturation and the vehicle-battery adaptation relationship.

[0014] In a third aspect, an embodiment of the present application further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, the battery configuration method of any one of the above is implemented.

[0015] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, wherein when the computer program is executed by a processor, the battery configuration method of any one of the above is implemented.

[0016] By determining whether a battery needs to be purchased, the quantity of purchased or processed batteries is determined, and processing can be carried out in advance in both surplus and shortage situations, avoiding insufficient or excessive quantities of purchased battery resources.

[0017] An embodiment of the present application provides a battery-adapted vehicle model evaluation method, device, and storage medium. By constructing the correspondence between new energy vehicle models and batteries and making predictive judgments, it solves the technical problem that in the case of the adaptation of new vehicle models and existing batteries, existing solutions are likely to cause the battery quantity to be in a supersaturated state, resulting in waste of battery resources and funds. It has the technical effects of avoiding the supersaturated state of the battery quantity and saving battery resources and funds. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application, form a part of the present application, and the schematic embodiments of the present application and their descriptions are used to explain the present application, not to unduly limit the present application. In the drawings:

[0019] Figure 1 It is a flowchart of a battery-adapted vehicle model evaluation method provided by an embodiment of the present application;

[0020] Figure 2 It is a specific flowchart of a battery-adapted vehicle model evaluation method provided by an embodiment of the present application;

[0021] Figure 3 It is a schematic internal structure diagram of a battery-adapted vehicle model evaluation device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0023] The embodiments of the present application provide a method, device, and storage medium for evaluating the battery adaptation to vehicle models. By constructing the corresponding relationship between new energy vehicle models and batteries and making predictive judgments, the technical problem that in the case of the adaptation of newly added vehicle models and existing batteries, the existing solutions are likely to cause the battery quantity to be in an oversaturated state, resulting in the waste of battery resources and funds is solved, and the technical effects of avoiding the oversaturated state of the battery quantity and saving battery resources and funds are achieved.

[0024] The technical solutions proposed in the embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0025] Figure 1 It is a flowchart of a method for evaluating the battery adaptation to vehicle models provided by the embodiments of the present application. As Figure 1 shown, a method for evaluating the battery adaptation to vehicle models provided by the embodiments of the present application specifically includes the following steps:

[0026] Step 101: Obtain the battery swapping data of the battery swapping station, and based on the battery swapping data, determine the number of battery swapping batteries to obtain the battery swapping battery saturation.

[0027] Among them, the battery swapping data includes: the type of battery swapping battery, the parameters of the battery swapping battery, and the historical vehicle type.

[0028] Specifically, it includes: obtaining the battery swapping information of the battery swapping station according to the battery swapping information message of the battery swapping station; based on the battery swapping information of the battery swapping station, determining the battery swapping data through preset information screening and processing; determining the number of battery swapping batteries corresponding to the type of battery swapping battery according to the type of battery swapping battery; and determining the battery swapping battery saturation based on the number of battery swapping batteries through the preset historical demand quantity of the battery swapping battery.

[0029] Among them, the battery swapping battery saturation is the ratio of the number of battery swapping batteries in the battery swapping station to the demand quantity of the battery swapping battery.

[0030] By screening and analyzing the battery swapping information of the battery swapping station, the battery swapping saturation degree of a certain type of battery swapping battery in the city is determined to confirm the current battery swapping situation.

[0031] In the embodiments of the present application, it is explained in detail through the following Example 1:

[0032] Example 1: Obtain the battery swapping message of the battery swapping station in City A to obtain the battery swapping information of the battery swapping station, and perform data screening on the battery swapping information of the battery swapping station; first, eliminate abnormal data and irrelevant data through data denoising; then, use the type of battery swapping battery, the parameters of the battery swapping battery, and the historical vehicle type as screening conditions (the screening conditions can be adjusted according to actual needs) to obtain the battery swapping data.

[0033] The battery type is determined according to the "GBT 34014-2017 Automotive Power Battery Coding Rules", and the number of battery types is determined by the replacement point data. The number is classified according to the battery type. The mainstream battery types in City A are MB230230617xxxxxxx and PE2203610xxxxxxx.

[0034] Through the above analysis, it is found that the reserve of MB230230617xxxxxxx type battery swap batteries is 125 pieces, and the reserve of PE2203610xxxxxxx type battery swap batteries is 150 pieces.

[0035] Get the battery swapping capacity of each battery swapping station in City A, including the maximum single swapping capacity and the maximum daily swapping capacity. Finally, count the number of battery swapping times and capacity of each battery swapping station in City A, and calculate the actual swapping capacity and the average swapping capacity per time. Finally, the current demand for MB230230617xxxxxxx type battery swapping batteries in City A is 110, and the demand for PE2203610xxxxxxx type battery swapping batteries is 130.

[0036] From this, it can be seen that both types of batteries are in an oversaturated state. The saturation of the MB230230617xxxxxxx type battery replacement battery is 114%, and the saturation of the PE2203610xxxxxxx type battery replacement battery is 115%.

[0037] Step 102: Obtain data of newly connected vehicles and determine vehicle type information.

[0038] Vehicle type information Vehicle type information Vehicle type information Obtain data on new vehicles that will be connected to the network in the city in the future, determine the expected network access data for a certain period of time in the future based on actual needs, determine the types of vehicles that will be connected to the network in the future, and the corresponding number of each type of vehicles, so as to realize the prediction of battery replacement demand.

[0039] After acquiring the data of newly connected vehicles and determining the vehicle type information, the method also includes: based on the battery replacement battery type, obtaining the battery replacement battery type data to determine the battery replacement battery type number; based on the historical vehicle type, querying the battery replacement record data corresponding to the historical vehicle type, and determining the vehicle-battery mapping relationship of all battery replacement battery types corresponding to the historical vehicle type; based on the battery replacement battery type number, determining the vehicle-battery adaptation relationship through the vehicle-battery mapping relationship.

[0040] By determining the vehicle models that different types of batteries can be adapted to, it is possible to purchase excess battery types and quantities in the event of future battery replacement needs, thereby reducing resource and economic losses caused by ineffective purchases.

[0041] In the examples of the present application, detailed explanation is given by the following Example 2:

[0042] Example 2: The station terminal of the battery swapping station in City A records all vehicle battery swapping information, queries historical information, obtains the vehicle information of new energy vehicles that have undergone battery swapping in the battery swapping station, extracts the vehicle models, and then determines the battery swapping information for each vehicle model. Since the design of the vehicle's battery compartment may accommodate battery swapping for different models of batteries, it is necessary to analyze the corresponding relationship between the vehicle model and the corresponding battery swapping battery model.

[0043] City A mainly uses two types of battery swapping batteries, namely MB230230617xxxxxxx and PE2203610xxxxxxx. Through analysis, it is known that the MB230230617xxxxxxx type of battery swapping battery is compatible with three types of new energy vehicles, namely a, b, and c, and the PE2203610xxxxxxx type of battery swapping battery is compatible with two types of new energy vehicles, namely e and f.

[0044] Based on the above analysis, if the networked vehicle is of type e, only the PE2203610xxxxxxx type of battery swapping battery needs to be purchased when the existing battery swapping batteries do not meet the requirements.

[0045] Step 103: According to the vehicle type information, determine the battery swapping battery parameters of the networked vehicle, and based on the battery swapping battery parameters of the networked vehicle and the battery swapping data, judge the vehicle-battery compatibility relationship of the new vehicle type information.

[0046] Specifically, it includes: according to the vehicle type information, query the city's networked vehicle database to determine the battery swapping battery parameters of the networked vehicle; among them, the battery swapping battery parameters of the networked vehicle include: the number of parallel-connected battery swapping batteries, the number of series-connected battery swapping batteries, and the rated power of the battery swapping battery; based on the battery swapping battery parameters of the networked vehicle and the battery swapping battery parameters, through parameter comparison, judge whether there is a battery swapping battery type that matches the vehicle type information in the existing battery swapping batteries, and obtain the compatibility judgment result; according to the compatibility judgment result, determine the vehicle-battery compatibility relationship.

[0047] Based on the battery parameters of the incoming network vehicles and the battery parameters of the battery swapping batteries, through parameter comparison, it is determined whether there is a battery swapping battery type that matches the vehicle type information in the existing battery swapping batteries, and an adaptation judgment result is obtained. Specifically, it includes: according to the battery parameters of the incoming network vehicles, by querying the battery parameters of the battery swapping batteries for the number of parallel battery swapping batteries, the number of series battery swapping batteries, and the rated power of the battery swapping batteries, a query result is obtained; according to the query result, in the case that there is a battery swapping battery type that matches the vehicle type information in the existing battery swapping batteries, the adaptation judgment result is that the corresponding existing battery swapping battery type is adapted to the vehicle type information; in the case that there is a battery swapping battery type that matches the vehicle type information in the existing battery swapping batteries, the adaptation judgment result is that the corresponding existing battery swapping battery type is not adapted to the vehicle type information; in the case that the corresponding existing battery swapping battery type is not adapted to the vehicle type information, the number of battery swapping batteries to be purchased is determined according to the number of vehicles corresponding to the vehicle type information.

[0048] By determining the battery information of the batteries required for future incoming new energy vehicles, it is judged whether the current number of battery swapping batteries meets the future demand, and according to the judgment situation, it is analyzed whether additional purchases are needed, and whether the extra batteries need to be processed in other ways within a certain period of time in the future, realizing the full utilization of battery swapping battery resources, avoiding future battery shortages, and preventing resource and economic waste.

[0049] In the embodiment of the present application, it is explained in detail through the following Example 3:

[0050] Example 3: The vehicle models of the new energy vehicles to be networked in City A are g and h. The number of series-connected batteries of the g model vehicle is 3, the number of parallel-connected batteries is 5, and the rated power is 75 KWh; the number of series-connected batteries of the h model vehicle is 5, the number of parallel-connected batteries is 5, and the rated power is 65 KWh.

[0051] The existing MB230230617xxxxxxx type battery swapping battery has a series connection number of 3, a parallel connection number of 5, and a rated power of 75 KWh; the PE2203610xxxxxxx has a series connection number of 5, a parallel connection number of 3, and a rated power of 80 KWh. Then the MB230230617xxxxxxx type battery swapping battery can be adapted to the g type new energy vehicle.

[0052] However, neither of the above two types of battery swapping batteries can be adapted to the h model vehicle, and additional purchases are needed.

[0053] Both types of batteries are in a supersaturated state. The saturation of the battery swapping batteries of the MB230230617xxxxxxx type is 114%, and the saturation of the battery swapping batteries of the PE2203610xxxxxxx type is 115%. The surplus of the MB230230617xxxxxxx type of battery swapping batteries in City A is 15, and the surplus of the PE2203610xxxxxxx type of battery swapping batteries is 20.

[0054] If the future number of g-type new energy vehicles to be connected to the network is 13 and the future number of h-type new energy vehicles to be connected to the network is 15, then according to the above analysis, there is no need to purchase the battery swapping batteries of the existing battery types, and 15 battery swapping batteries required for h-type new energy vehicles need to be purchased.

[0055] Step 104: Based on the saturation of the battery swapping batteries and the vehicle-battery adaptation relationship, determine whether the number of battery swapping batteries meets the preset battery swapping requirements.

[0056] Specifically, it includes: based on the vehicle-battery adaptation relationship, determine the corresponding type of battery swapping battery; according to the type of battery swapping battery, query the saturation of the battery swapping battery to determine the number of battery swapping batteries; based on the number of battery swapping batteries, determine whether the number of battery swapping batteries is greater than the preset battery swapping requirements to obtain an evaluation and judgment result.

[0057] Based on the number of battery swapping batteries, determine whether the number of battery swapping batteries is greater than the preset battery swapping requirements to obtain an evaluation and judgment result, which specifically includes: when the number of battery swapping batteries is greater than the preset battery swapping requirements, the evaluation and judgment result is that there is no need to purchase battery swapping batteries; when the number of battery swapping batteries is not greater than the preset battery swapping requirements, determine whether the number of battery swapping batteries is equal to the preset battery swapping requirements; when the number of battery swapping batteries is not equal to the preset battery swapping requirements, the evaluation and judgment result is that battery swapping batteries need to be purchased.

[0058] After determining whether the number of battery swapping batteries meets the preset battery swapping requirements based on the saturation of the battery swapping batteries and the vehicle-battery adaptation relationship to obtain an evaluation and judgment result, the method further includes: based on the battery adaptation vehicle type evaluation data, determine the number of surplus battery swapping batteries or the number of battery swapping batteries to be purchased.

[0059] By determining whether the battery needs to be purchased, the purchase or disposal quantity of the battery is determined, and processing can be carried out in advance in the case of surplus or shortage, avoiding insufficient or excessive purchase quantity of battery resources.

[0060] The above is the method embodiment proposed by this application. Based on the same inventive concept, the embodiment of this application also provides a battery adaptation vehicle type evaluation device, and its structure is as Figure 2 shown.

[0061] Figure 3This is a schematic diagram of the internal structure of a battery adaptation vehicle model evaluation device provided in an embodiment of the present application. Figure 3 As shown, the device includes:

[0062] at least one processor 301;

[0063] and, a memory 302 communicatively connected to at least one processor;

[0064] The memory 302 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 301 to enable at least one processor 301 to:

[0065] Obtain the battery swapping data of the battery swapping station, and based on the battery swapping data, determine the number of battery swapping batteries to obtain the battery swapping battery saturation; obtain the data of newly-connected vehicles and determine the vehicle type information; determine the battery swapping battery parameters of the connected vehicles based on the vehicle type information, and determine the vehicle-battery adaptation relationship of the newly-connected vehicles based on the battery swapping battery parameters and battery swapping data of the connected vehicles; based on the battery swapping battery saturation and the vehicle-battery adaptation relationship, determine whether the number of battery swapping batteries meets the preset battery swapping requirements.

[0066] Some embodiments of the present application provide corresponding Figure 1 A non-volatile computer storage medium for a battery adaptation vehicle model evaluation method stores computer executable instructions, and the computer executable instructions are set as follows:

[0067] Obtain the battery swapping data of the battery swapping station, and based on the battery swapping data, determine the number of battery swapping batteries to obtain the battery swapping battery saturation; obtain the data of newly-connected vehicles and determine the vehicle type information; determine the battery swapping battery parameters of the connected vehicles based on the vehicle type information, and determine the vehicle-battery adaptation relationship of the newly-connected vehicles based on the battery swapping battery parameters and battery swapping data of the connected vehicles; based on the battery swapping battery saturation and the vehicle-battery adaptation relationship, determine whether the number of battery swapping batteries meets the preset battery swapping requirements.

[0068] Each embodiment in this application is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the IoT device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0069] The system and medium provided in the embodiments of the present application correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0070] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0071] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more flows and / or blocks Figure 1 or multiple blocks.

[0072] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more flows and / or blocks Figure 1 or multiple blocks.

[0073] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more flows and / or blocks Figure 1 or multiple blocks.

[0074] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0075] The memory may include non-permanent memory in the computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

[0076] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0077] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0078] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for evaluating battery adaptation to vehicle models, characterized in that, The method includes: Obtain the battery swapping data of the battery swapping station, and based on the battery swapping data, determine the number of battery swapping batteries to obtain the saturation of the battery swapping batteries; Obtain the data of newly connected vehicles and determine the vehicle type information; According to the vehicle type information, determine the battery swapping battery parameters of the connected vehicles, and based on the battery swapping battery parameters of the connected vehicles and the battery swapping data, judge the vehicle-battery matching relationship of the newly connected vehicles; Based on the saturation of the battery swapping batteries and the vehicle-battery matching relationship, judge whether the number of battery swapping batteries meets the preset battery swapping requirements.

2. The battery adaptation vehicle model evaluation method according to claim 1, wherein Obtain the battery swapping data of the battery swapping station, and based on the battery swapping data, determine the number of battery swapping batteries to obtain the saturation of the battery swapping batteries, which specifically includes: Based on the battery swapping data of the battery swapping station, through preset information screening and processing, determine the battery swapping data; wherein, the battery swapping data includes: battery swapping battery type, battery swapping battery parameters, historical vehicle type; According to the battery swapping battery type, determine the number of battery swapping batteries corresponding to the battery swapping battery type; Based on the number of battery swapping batteries, through the preset historical demand quantity of the battery swapping batteries, determine the saturation of the battery swapping batteries.

3. The battery adaptation vehicle model evaluation method according to claim 1, wherein After obtaining the data of newly connected vehicles and determining the vehicle type information, the method further includes: Based on the battery swapping data, obtain the battery swapping battery type data to determine the battery swapping battery type number; Query the battery swapping record data corresponding to the battery swapping data to determine the vehicle-battery mapping relationship corresponding to the battery swapping data; Based on the battery swapping battery type number, through the vehicle-battery mapping relationship, determine the vehicle-battery matching relationship.

4. The battery adaptation vehicle model evaluation method according to claim 1, characterized in that According to the vehicle type information, determine the battery swapping battery parameters of the connected vehicles, and based on the battery swapping battery parameters of the connected vehicles and the battery swapping data, judge the vehicle-battery matching relationship of the newly connected vehicles, which specifically includes: According to the vehicle type information, query the urban connected vehicle database to determine the battery swapping battery parameters of the connected vehicles; wherein, the battery swapping battery parameters of the connected vehicles include: the number of parallel-connected battery swapping batteries, the number of series-connected battery swapping batteries, and the rated power of the battery swapping batteries; Based on the battery swapping battery parameters of the connected vehicles and the battery swapping battery parameters, through parameter comparison, judge whether there is a battery swapping battery type in the existing battery swapping batteries that matches the vehicle type information, and obtain an adaptation judgment result; According to the adaptation judgment result, determine the vehicle-battery matching relationship.

5. The battery adaptation vehicle model evaluation method according to claim 1, wherein, Based on the saturation of the battery swapping batteries and the vehicle-battery matching relationship, judge whether the number of battery swapping batteries meets the preset battery swapping requirements, which specifically includes: Based on the vehicle-battery matching relationship, determine the corresponding battery swapping battery type; According to the battery swapping battery type, query the saturation of the battery swapping batteries to determine the number of battery swapping batteries; Based on the number of battery swapping batteries, judge whether the number of battery swapping batteries is greater than the preset battery swapping requirements to obtain an evaluation judgment result.

6. The battery adaptation vehicle type evaluation method according to claim 4, wherein Based on the battery swapping battery parameters of the connected vehicles and the battery swapping battery parameters, through parameter comparison, judge whether there is a battery swapping battery type in the existing battery swapping batteries that matches the vehicle type information, and obtain an adaptation judgment result, which specifically includes: According to the battery replacement parameters of the networked vehicles, query the battery replacement parameters by querying the number of parallel-connected battery replacement batteries, the number of series-connected battery replacement batteries, and the rated power of the battery replacement batteries, and obtain a query result; According to the query result, when there is a battery replacement battery type that matches the vehicle type information among the existing battery replacement batteries, the adaptation judgment result is that the existing corresponding battery replacement battery type is adapted to the vehicle type information; When there is a battery replacement battery type that matches the vehicle type information among the existing battery replacement batteries, the adaptation judgment result is that the existing corresponding battery replacement battery type is not adapted to the vehicle type information; When the existing corresponding battery replacement battery type is not adapted to the vehicle type information, determine the number of battery replacement batteries to be purchased according to the number of vehicles corresponding to the vehicle type information.

7. The battery adaptation vehicle model evaluation method according to claim 5, wherein Based on the number of battery replacement batteries, judge whether the number of battery replacement batteries is greater than the preset battery replacement demand, and obtain an evaluation judgment result, specifically including: When the number of battery replacement batteries is greater than the preset battery replacement demand, the evaluation judgment result is that there is no need to purchase battery replacement batteries; When the number of battery replacement batteries is not greater than the preset battery replacement demand, judge whether the number of battery replacement batteries is equal to the preset battery replacement demand; When the number of battery replacement batteries is not equal to the preset battery replacement demand, the evaluation judgment result is that battery replacement batteries need to be purchased.

8. The battery adaptation vehicle model evaluation method according to claim 1, wherein, After judging whether the number of battery replacement batteries meets the preset battery replacement demand based on the battery replacement saturation and the vehicle-battery adaptation relationship, the method further includes: Based on the battery adaptation vehicle model evaluation data, determine the number of surplus battery replacement batteries or the number of battery replacement batteries to be purchased.

9. A battery adaptation vehicle model evaluation device, characterized in that, The device includes: A battery replacement data module, configured to obtain battery replacement data of a battery replacement station, and based on the battery replacement data, determine the number of battery replacement batteries to obtain the battery replacement saturation; A vehicle data module, configured to obtain new networked vehicle data and determine vehicle type information; A vehicle-battery adaptation module, configured to determine the battery replacement parameters of the networked vehicles according to the vehicle type information, and judge the vehicle-battery adaptation relationship of the new networked vehicles based on the battery replacement parameters of the networked vehicles and the battery replacement data; A demand judgment module, configured to judge whether the number of battery replacement batteries meets the preset battery replacement demand based on the battery replacement saturation and the vehicle-battery adaptation relationship.

10. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that When the processor executes the computer program, it implements the battery configuration method of the battery replacement station according to any one of claims 1-8.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the battery configuration method of the battery replacement station according to any one of claims 1-8.

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