Method and device for battery management

Abstract

The present invention relates to the field of battery swapping technology, and more specifically to a method and apparatus for battery swapping management, a computer device for implementing the method, a battery swapping station including the computer device or apparatus, and a computer storage medium for implementing the method. The method comprises: A. obtaining historical data of the battery swapping station and historical data of each vehicle that visited the battery swapping station during a first time period; B. generating a historical energy recovery rate for each vehicle based on the historical data of each vehicle; and C. generating battery management information for the battery swapping station based on the historical energy recovery rate of each vehicle and the historical data of the battery swapping station, wherein the battery management information includes the power of the battery swapping batteries in the battery swapping station and the proportion of battery swapping batteries with different power levels in the total number of battery swapping batteries.

Description

Technical Field

[0001] The present invention relates to the field of battery swapping technology, and more specifically to a method and device for battery swapping management, a computer device for implementing the method, a battery swapping station including the computer device or apparatus, and a computer storage medium for implementing the method. Background Art

[0002] The modes of replenishing energy for the power batteries of pure electric vehicles generally include charging mode and battery swapping mode. The disadvantage of the charging mode is mainly the poor user experience caused by the long charging time. The operation of the battery swapping mode can solve a series of problems such as short driving range, difficulty in charging and high cost of electric vehicles. Therefore, it is a mode with good technical and market prospects. In the battery swapping mode, the charging operator is responsible for the unified management of the power battery, and users can obtain services by applying to the battery swapping station operator to replace the power battery. However, the current battery swapping station operations all adopt a battery swapping strategy with a uniform power level and full (100%) power level, which does not take into account the possibility that vehicles with energy recovery function are prone to excessive recovery of energy in a fully charged scenario.

[0003] Secondly, the current application of big data and vehicle networking in battery swap stations mainly focuses on the site selection and quantity planning of battery swap stations. The application scenarios are very limited, and more application scenarios have not been discovered. Summary of the Invention

[0004] In order to solve or at least alleviate one or more of the above problems, the present invention proposes a method and device for battery swap management, a computer device for implementing the method, a battery swap station including the computer device or device, and a computer storage medium for implementing the method, which can reduce the total amount of charging of the battery swap batteries required by the battery swap station while avoiding excessive energy recovery by vehicles, shorten the charging time, and thus reduce the operating costs of the battery swap station.

[0005] According to a first aspect of the present invention, a method for battery swap management is provided, the method comprising: A. acquiring historical data of a battery swap station and historical data of each vehicle that visited the battery swap station during a first time period; B. generating a historical energy recovery rate of each vehicle based on the historical data of each vehicle; and C. generating battery management information for the battery swap station based on the historical energy recovery rate of each vehicle and the historical data of the battery swap station, wherein the battery management information includes the power of the battery swap batteries in the battery swap station and the proportion of battery swap batteries with different power levels in the total number of battery swap batteries.

[0006] As an alternative or supplement to the above scheme, in a method according to an embodiment of the present invention, the historical data of each vehicle includes one or more of the following items: vehicle operation data, vehicle charging and battery swapping frequency, common vehicle usage time periods, distribution of common vehicle usage locations and traffic environment, driving purpose, and driving habits; and the historical data of the battery swap station includes one or more of the following items: road condition information and traffic environment around the battery swap station, the total number of battery swapped, the number, model, deterioration level and remaining power of recycled batteries.

[0007] As an alternative or supplement to the above scheme, in a method according to an embodiment of the present invention, the vehicles include a first vehicle, and step B includes generating one or more of the following items based on historical data of the vehicles: the total number of times the first vehicle visits the battery swap station during the first time period; the energy recovery rate of the first vehicle during each visit to the battery swap station; and the average energy recovery rate of the first vehicle during the first time period.

[0008] As an alternative or supplement to the above scheme, in a method according to an embodiment of the present invention, step C includes: determining the expected battery replacement time and the recommended battery replacement battery capacity of each vehicle based on the historical energy recovery rate of each vehicle and the battery replacement frequency of each vehicle at the battery replacement station; determining the battery management information for the battery replacement station based on the expected battery replacement time and the recommended battery replacement battery capacity of each vehicle.

[0009] As an alternative or supplement to the above scheme, in a method according to an embodiment of the present invention, each vehicle includes a first vehicle and the method further includes: in response to receiving a battery replacement instruction for the first vehicle, recommending a battery replacement strategy to a user of the first vehicle, wherein the battery replacement strategy includes a recommended battery replacement battery power; and in response to the user's confirmation of the battery replacement strategy, sending the recommended battery replacement battery power to a battery replacement execution device to control the battery replacement execution device to replace the battery replacement battery with the recommended power for the first vehicle.

[0010] As an alternative or supplement to the above solution, in a method according to an embodiment of the present invention, recommending a battery swap strategy to the user of the first vehicle includes: generating the battery swap strategy based on historical data of the battery swap station, historical data of the first vehicle, and real-time road conditions information; and sending a first message to the user to ask whether he agrees with the battery swap strategy.

[0011] As an alternative or supplement to the above solution, in a method according to an embodiment of the present invention, each vehicle includes a second vehicle and the method further includes: if the second vehicle does not have an energy recovery function, recommending to the user of the second vehicle to replace the battery with a 100% battery replacement battery.

[0012] According to a second aspect of the present invention, a computer device is provided, which is used for battery replacement management and includes: a memory configured to store instructions; and a processor coupled to the memory, which is configured to execute the instructions so as to perform any one of the methods described in the first aspect of the present invention.

[0013] According to a third aspect of the present invention, a device for battery swap management is provided, the device comprising: an information acquisition unit configured to acquire historical data of the battery swap station and historical data of each vehicle visiting the battery swap station during a first time period; a data analysis unit configured to generate a historical energy recovery rate of each vehicle based on the historical data of each vehicle; and a battery management unit configured to generate battery management information for the battery swap station based on the historical energy recovery rate of each vehicle and the historical data of the battery swap station, wherein the battery management information includes the power of the battery swap batteries in the battery swap station and the proportion of battery swap batteries with different power levels in the total number of battery swap batteries.

[0014] According to a fourth aspect of the present invention, a battery swap station is provided, which includes: a battery swap execution device for replacing the corresponding battery swap battery for a vehicle; and a computer device as described in the second aspect of the present invention or a device for battery swap battery management as described in the third aspect of the present invention.

[0015] According to a fifth aspect of the present invention, there is provided a computer storage medium, the computer storage medium comprising instructions, the instructions being used to execute any one of the methods according to the first aspect of the present invention when run.

[0016] The battery management solution for battery swapping according to one or more embodiments of the present invention analyzes historical data from battery swapping stations and individual vehicles, providing battery management information for efficient operation of battery swapping stations. This big data-based battery management information can reduce the total amount of battery swapping required at battery swapping stations, shortening charging time and thus reducing operating costs, while ensuring normal user driving. Furthermore, it provides room for battery swapping stations to expand their total battery swapping capacity, enabling a limited number of battery swapping stations to provide battery swapping services for more vehicles.

[0017] In addition, compared with a unified and full-charge battery replacement strategy, the solution for battery replacement battery management according to one or more embodiments of the present invention can set different power levels for the battery replacement batteries in the battery replacement station with the help of the analysis results of the historical energy recovery rate of each vehicle, thereby avoiding excessive vehicle energy recovery while improving energy utilization and saving users' battery replacement costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and / or other aspects and advantages of the present invention will become clearer and easier to understand through the following description of various aspects in conjunction with the accompanying drawings, in which the same or similar elements are represented by the same reference numerals. In the accompanying drawings:

[0019] Figure 1 is a flowchart of a method 10 for battery replacement management according to one or more embodiments of the present invention;

[0020] Figure 2 A schematic block diagram of an apparatus 20 for battery replacement management according to one or more embodiments of the present invention; and

[0021] Figure 3 FIG. 4 is a schematic block diagram of a battery swap station 30 according to one or more embodiments of the present invention. DETAILED DESCRIPTION

[0022] The description of the following specific embodiments is merely exemplary in nature and is not intended to limit the disclosed technology or the application and use of the disclosed technology. In addition, there is no intention to be bound by any express or implied theory presented in the foregoing technical field, background technology or the following specific embodiments.

[0023] In the following detailed description of the embodiments, numerous specific details are set forth to provide a more thorough understanding of the disclosed technology. However, it will be apparent to one of ordinary skill in the art that the disclosed technology can be practiced without these specific details. In other instances, well-known features are not described in detail to avoid unnecessarily complicating the description.

[0024] Terms such as "comprising" and "including" indicate that, in addition to the units and steps directly and explicitly stated in the specification, the technical solution of the present invention does not exclude the presence of other units and steps not directly or explicitly stated. Terms such as "first" and "second" do not indicate the order of units in terms of time, space, size, etc., but are merely used to distinguish between units.

[0025] It should be understood that the technology disclosed herein is generally applicable to electric vehicles, including but not limited to battery electric vehicles (BEVs), hybrid electric vehicles (HEVs), fuel cell vehicles (FCEVs), etc. "Swap batteries" should be understood as batteries with a higher state of charge (e.g., a state of charge greater than or equal to 50%) that can be used to replace a user's low-charged battery (i.e., recycled battery) at a swap station. These batteries include batteries with a higher state of charge originally stored at the swap station and batteries with a higher state of charge obtained by recharging a user's low-charged battery.

[0026] A large amount of energy is generated during the operation and braking of the vehicle. If this energy cannot be stored or reasonably utilized, it will cause irreversible damage to the mechanical structure of the vehicle's braking system. Currently, most vehicles with energy recovery functions use supercapacitors to store energy that cannot be recovered by the battery during the energy recovery process. This solves the problem of excess recovered energy to a certain extent, but such solutions have extremely high requirements for supercapacitors, and because supercapacitor energy is limited, blindly expanding capacity is not a long-term solution. Some other existing solutions propose to reduce the amount of energy stored in the battery by increasing the consumption of other electrical appliances on the vehicle. However, such solutions that solve the problem by increasing consumption go against the original intention of environmental protection and energy conservation. In view of this, the present invention proposes to use the Internet of Vehicles and big data to integrate various information such as users, vehicles, battery swap stations, roads, etc. on the basis of existing technologies such as energy recovery prediction, cruising range prediction, and prevention of overcharging, so as to provide reasonable battery management information for the operation of battery swap stations. The following will further describe in detail the solution for battery swap management involved in the present invention in conjunction with the accompanying drawings.

[0027] Referring to the accompanying drawings, Figure 1 Flowchart of a method 10 for battery replacement management according to one or more embodiments of the present invention.

[0028] like Figure 1 As shown, in step S110 , historical data of the battery swap station and historical data of each vehicle that visited the battery swap station during the first period are obtained.

[0029] In one embodiment, the staff of the battery swap station regularly (for example, quarterly or monthly) obtains the big data of the battery swap station and the big data of the target vehicles that have visited the battery swap station. Exemplarily, the historical data of the battery swap station includes one or more of the following: road condition information and traffic environment around the battery swap station (for example, congestion level, traffic light conditions), the total number of battery swap batteries, the number, model, degradation level and remaining power of recycled batteries. Exemplarily, the historical data of each vehicle includes one or more of the following: vehicle operation data (for example, vehicle speed), vehicle charging and battery swapping frequency, commonly used vehicle time periods (for example, 7 to 9 am and 5 to 9 pm on weekdays), the distribution of commonly used vehicle locations and traffic environment, driving purposes (for example, weekday commuting, weekend travel), driving habits (for example, commonly used driving modes, braking aggressiveness, etc.).

[0030] In step S120 , a historical energy recovery rate of each vehicle is generated based on the historical data of each vehicle.

[0031] Currently, most vehicles are equipped with energy recovery capabilities. For example, some vehicles use supercapacitors to reduce and de-energize excess current, thereby preventing damage to the controller. The controller controls the operation of the AC / DC converter and the DC / AC (DC / DC) converter. When the driver pedals the anti-lock braking system (ABS), the braking signal is transmitted to the brake hydraulic sensor. Simultaneously, the ABS control system applies the brakes to the drive wheel spindles. The braking signal from the brake hydraulic sensor drives the motor control circuit to control energy recovery. The AC / DC converter converts the generated AC power into DC power, which is then passed through the DC / DC converter to charge the storage battery in the form of DC power. As described above, while vehicles with energy recovery capabilities can overcome the problem of excess recovered energy to a certain extent, due to the capacity limitations of supercapacitors, the possibility of excess recovered energy cannot be completely avoided. In one embodiment of the present invention, by classifying and processing big data for each vehicle (i.e., target vehicles that visited the battery swap station during a first period), the energy recovery rate of each vehicle at different historical stages can be obtained.

[0032] Optionally, if the target vehicle includes the first vehicle (that is, the first vehicle has visited the battery swap station during the first time period), one or more of the following items can be obtained based on the historical data of the first vehicle: the total number of times the first vehicle visited the battery swap station during the first time period; the energy recovery rate of the first vehicle at each visit to the battery swap station; and the average energy recovery rate of the first vehicle during the first time period. For example, if it is found based on the big data analysis of the first vehicle that the first vehicle swapped batteries three times at the battery swap station in the last month, wherein the energy recovery rate of the vehicle was 20% during the first swap, 16% during the second swap, and 24% during the third swap, then the average energy recovery rate of the vehicle in the last month can be calculated to be 20%. For example, the cumulative discharge power of the battery pack and the cumulative power supply power of the drive motor can be calculated by counting the real-time terminal voltage and real-time discharge current of the vehicle battery, the real-time terminal voltage and real-time power generation current of the drive motor, thereby obtaining the energy recovery rate of the vehicle. It should be noted that the energy recovery rate can be based on any other calculation method known in the art, and the present invention is not limited to this.

[0033] In step S130, battery management information for the battery swap station is generated based on the historical energy recovery rate of each vehicle and the historical data of the battery swap station, wherein the battery management information includes the power of the battery swap batteries in the battery swap station and the proportion of battery swap batteries with different power levels in the total number of battery swap batteries.

[0034] Optionally, in step S130, the expected battery replacement time and the recommended battery replacement battery capacity of each vehicle are first determined based on the historical energy recovery rate of each vehicle and the battery replacement frequency of each vehicle at the battery replacement station. In an example, if it is determined in step S120 that the average energy recovery rate of the first vehicle last month was 20% and it is known from the big data of the first vehicle that the vehicle had replaced batteries at the battery replacement station on the 5th, 17th and 26th of last month, it can be inferred from the above information that the battery replacement frequency of the vehicle is three times a month, and the recommended battery replacement battery capacity for the vehicle at the next battery replacement should be 80% (that is, 1-average energy recovery rate). Furthermore, based on the above information, the next expected battery replacement time of the first vehicle can also be calculated (for example, on the 6th of this month)

[0035] Furthermore, in step S130, the battery management information for the battery swap station is determined based on the expected battery swap time of each vehicle and the recommended battery swap capacity. In one example, the expected battery swap time and the recommended battery swap capacity of each vehicle are summarized to obtain the total number of target vehicles expected to visit the battery swap station on each specific day, as well as the recommended battery swap capacity for these target vehicles (for example, 300 vehicles are expected to visit the battery swap station on the 6th of this month, and 80% battery swap capacity will be recommended for 100 of them, 95% battery swap capacity will be recommended for 50 of them, and 90% battery swap capacity will be recommended for 150 of them).

[0036] Optionally, method 10 also includes step S140, in response to receiving a battery replacement instruction for the first vehicle, recommending a battery replacement strategy to the user of the first vehicle, wherein the battery replacement strategy includes a recommended battery replacement battery power; and in response to the user's confirmation of the battery replacement strategy, sending the recommended battery replacement battery power to the battery replacement execution device to control the battery replacement execution device to replace the battery replacement battery with the recommended power for the first vehicle.

[0037] In one example, after the owner of a first vehicle scans a QR code at a battery swap station, the owner's mobile app will send a battery swap instruction to the station. Upon receiving the battery swap instruction, the station will collect historical data from the station, the historical data of the first vehicle, and real-time traffic information to generate a battery swap strategy for the first vehicle. The station will then send a message to the owner asking if they agree to the battery swap strategy. For example, if the station detects through big data that 90% of vehicle owners who choose to use the station are commuting, and that traffic is extremely congested during the morning and afternoon commuting hours, and combined with the battery management information from the station indicating the vehicle's historical energy recovery rate, the recommended battery capacity for the swap battery should be 80%, the owner will then receive a system message informing them that due to frequent braking during commuting hours, the vehicle is expected to recover 20% of its energy. If a fully charged battery is replaced, this 20% of energy will be applied to the braking system, accelerating brake wear. Therefore, a replacement battery with an 80% charge is recommended. If the car owner confirms on the mobile app that he is indeed using the car during commuting hours and agrees to replace the battery with 80% power, the battery replacement execution device in the battery replacement station will replace the corresponding battery for him; if the car owner selects on the mobile app that he is not using the car during commuting hours or does not agree to replace the battery with 80% power, the car owner can further select his preferred battery power through the mobile app.

[0038] Optionally, if the vehicle does not have an energy recovery function, it can be directly recommended to the user to replace the battery with a 100% charged battery.

[0039] According to one or more embodiments of the present invention, the method 10 provides battery management information for the efficient operation of the battery swap station by analyzing the historical data of the battery swap station and the historical data of each vehicle. It can reduce the total amount of battery swap batteries required for charging at the battery swap station while ensuring the normal driving of users, shorten the charging time, and thus reduce the operating costs of the battery swap station. It also provides the battery swap station with space to expand the total amount of battery swap batteries, so that it can provide battery swap services for more vehicles. In addition, compared with a unified and full-charge battery swap strategy, according to one or more embodiments of the present invention, the method 10 can set different power levels for the battery swap batteries in the battery swap station by means of the analysis results of the historical energy recovery rate of each vehicle, thereby improving energy utilization while avoiding excessive energy recovery by vehicles and saving users' battery swap costs.

[0040] According to a second aspect of the present invention, a computer device is provided, which is used for battery replacement management and includes a memory configured to store instructions; and a processor coupled to the memory, which is configured to execute instructions so as to perform any one of the methods for battery replacement management described above.

[0041] According to a third aspect of the present invention, a device for battery replacement management is provided. Figure 2 As shown, the device 20 includes an information acquisition unit 210 , a data analysis unit 220 and a battery management unit 230 .

[0042] The information acquisition unit 210 is configured to acquire historical data of the battery swap station and historical data of each vehicle that visited the battery swap station during the first period.

[0043] The data analysis unit 220 is configured to generate a historical energy recovery rate for each vehicle based on the historical data of each vehicle. Optionally, the data analysis unit 220 is also configured to generate one or more of the following items based on the historical data of each vehicle: the total number of times the first vehicle visits the battery swap station during the first time period; the energy recovery rate of the first vehicle at each visit to the battery swap station; and the average energy recovery rate of the first vehicle during the first time period. Optionally, the data analysis unit 220 is also configured to, in response to receiving a battery swap instruction for the first vehicle, recommend a battery swap strategy to the user of the first vehicle, wherein the battery swap strategy includes a recommended battery swap battery capacity; and in response to the user's confirmation of the battery swap strategy, send the recommended battery swap battery capacity to the battery swap execution device to control the battery swap execution device to replace the battery swap battery with the recommended capacity for the first vehicle. Optionally, the data analysis unit 220 is also configured to generate a battery swap strategy based on the historical data of the battery swap station, the historical data of the first vehicle, and real-time road condition information; and send a first message to the user to inquire whether he agrees with the battery swap strategy. Optionally, the data analysis unit 220 is further configured to recommend to the user of the second vehicle that the battery be replaced with a 100% charged battery if the second vehicle does not have an energy recovery function. The specific functions of the data analysis unit 220 can be found in the description of steps S120 and S140 above and will not be repeated here.

[0044] The battery management unit 230 is configured to generate battery management information for the battery swap station based on the historical energy recovery rate of each vehicle and the historical data of the battery swap station, wherein the battery management information includes the power of the battery swap batteries in the battery swap station and the proportion of battery swap batteries with different power levels in the total number of battery swap batteries. Optionally, the battery management unit 230 is also configured to determine the expected battery swap time and the recommended power of the battery swap battery for each vehicle based on the historical energy recovery rate of each vehicle and the battery swap frequency of each vehicle at the battery swap station; and determine the battery management information for the battery swap station based on the expected battery swap time and the recommended power of the battery swap battery for each vehicle. For the specific functions of the battery management unit 230, please refer to the description of step S130 above and will not be repeated here.

[0045] According to a fourth aspect of the present invention, a battery swap station is provided. Figure 3As shown, the battery swap station 30 includes a battery swap execution device 310 for replacing the corresponding battery swap for the vehicle and an information processing device 320. The information processing device 320 can be a computer device as described in the second aspect of the present invention or a device for battery swap management 20 as described in the third aspect of the present invention.

[0046] In addition, the present invention can also be implemented as a computer storage medium having instructions stored therein, and when the instructions are executed by a processor, the processor executes any one of the methods for battery replacement management described above. Here, as a computer storage medium, various computer storage media such as disks (e.g., magnetic disks, optical disks, etc.), cards (e.g., memory cards, optical cards, etc.), semiconductor memories (e.g., ROMs, non-volatile memories, etc.), and tapes (e.g., magnetic tapes, cassettes, etc.) can be used.

[0047] In the case of applicable, hardware, software or a combination of hardware and software can be used to realize the various embodiments provided by the present invention. Moreover, in the case of applicable, without departing from the scope of the present invention, the various hardware components and / or software components set forth herein can be combined into composite components comprising software, hardware and / or both. In the case of applicable, without departing from the scope of the present invention, the various hardware components and / or software components set forth herein can be divided into subcomponents comprising software, hardware or both. In addition, in the case of applicable, it is contemplated that software components can be implemented as hardware components, and vice versa.

[0048] Software according to the present invention (such as program code and / or data) can be stored on one or more computer storage media. It is also contemplated that the software identified herein can be implemented using one or more general or special computers and / or computer systems, networked and / or otherwise. Where applicable, the order of the various steps described herein can be changed, combined into composite steps and / or divided into sub-steps to provide the features described herein.

[0049] The embodiments and examples set forth herein are provided to best illustrate embodiments according to the present invention and its specific applications, and thereby enable those skilled in the art to make and use the invention. However, those skilled in the art will appreciate that the above description and examples are provided for ease of illustration and example only. The descriptions set forth are not intended to encompass all aspects of the invention or to limit the invention to the precise forms disclosed.

Claims

1. A method for battery replacement management, characterized in that: The method comprises the following steps: A. Obtaining historical data of the battery swap station and historical data of each vehicle that visited the battery swap station during a first period; B. generating a historical energy recovery rate for each vehicle based on the historical data of each vehicle; and C. Based on the historical energy recovery rate of each vehicle and the historical data of the battery swap station, generate battery management information for the battery swap station, wherein the battery management information includes the power of the battery swaps in the battery swap station and the proportion of battery swaps with different power levels in the total number of battery swaps. Wherein, step C comprises: Determining the expected battery replacement time and the recommended battery capacity for each vehicle based on the historical energy recovery rate of each vehicle and the battery replacement frequency of each vehicle at the battery replacement station; Based on the expected battery replacement time of each vehicle and the recommended battery replacement battery capacity, the battery management information for the battery replacement station is determined.

2. The method according to claim 1, wherein The historical data of each vehicle includes one or more of the following: vehicle operation data, vehicle charging and battery replacement frequency, common vehicle usage time, distribution of common vehicle usage locations, traffic environment, driving purpose, and driving habits; and The historical data of the battery swap station includes one or more of the following: road condition information and traffic environment around the battery swap station, the total number of swapped batteries, the number, model, deterioration level and remaining power of recycled batteries.

3. The method according to claim 1, wherein The vehicles include a first vehicle, and step B includes generating one or more of the following based on historical data of the vehicles: a total number of visits by the first vehicle to the battery swap station during the first time period; an energy recovery rate of the first vehicle each time it visits the battery swap station; and An average energy recovery rate of the first vehicle during the first time period.

4. The method according to claim 1, wherein The vehicles include a first vehicle and the method further includes: In response to receiving a battery swap instruction for the first vehicle, recommending a battery swap strategy to a user of the first vehicle, wherein the battery swap strategy includes a recommended battery capacity for battery swapping; and In response to the user's confirmation of the battery replacement strategy, the recommended battery replacement battery power is sent to the battery replacement execution device to control the battery replacement execution device to replace the first vehicle with a battery replacement battery with the recommended power.

5. The method according to claim 4, wherein The battery replacement strategy recommended to the user of the first vehicle includes: generating the battery swap strategy based on historical data of the battery swap station, historical data of the first vehicle, and real-time road condition information; and A first message is sent to the user to inquire whether the user agrees with the battery replacement strategy.

6. The method according to claim 1, wherein The vehicles include a second vehicle and the method further includes: If the second vehicle does not have an energy recovery function, it is recommended to the user of the second vehicle to replace the battery with a 100% charged battery.

7. A computer device, characterized in that: The computer device is used for battery replacement management and the computer device includes: a memory configured to store instructions; and A processor coupled to the memory, configured to execute the instructions so as to perform the method according to any one of claims 1 to 6.

8. A device for battery replacement management, characterized in that: The device comprises: an information acquisition unit configured to acquire historical data of the battery swap station and historical data of each vehicle that visited the battery swap station during a first period; a data analysis unit configured to generate a historical energy recovery rate of each vehicle based on historical data of each vehicle; and A battery management unit is configured to generate battery management information for the battery swap station based on the historical energy recovery rate of each vehicle and the historical data of the battery swap station, wherein the battery management information includes the power of the battery swapping station and the proportion of battery swapping batteries with different power levels in the total number of battery swapping batteries, Wherein, the battery management unit is further configured to: Determining the expected battery replacement time and the recommended battery capacity for each vehicle based on the historical energy recovery rate of each vehicle and the battery replacement frequency of each vehicle at the battery replacement station; Based on the expected battery replacement time of each vehicle and the recommended battery replacement battery capacity, the battery management information for the battery replacement station is determined.

9. A battery swap station, characterized in that: The battery swap station includes: A battery replacement execution device, which is used to replace the corresponding battery replacement battery for the vehicle; and The computer device as claimed in claim 7 or the apparatus for battery replacement management as claimed in claim 8.

10. A computer storage medium storing instructions, characterized in that: When the instructions are executed by a processor, the processor is caused to perform the method according to any one of claims 1 to 6.

Images