Management adjustment method and system for multifunctional battery replacement system

Abstract

The embodiment of the invention provides a management adjustment method and system for a multifunctional power conversion system. The management adjustment method and system are applied to the technical field of management adjustment of the multifunctional power conversion system. Acquiring deployment data matched with the demand data or the deployment instruction and a deployment emergency level of the deployment data; the deployment data and the deployment emergency level are substituted into a management adjustment model, a preset number of multiple groups of matched power conversion combination schemes and the advantage type of each group of power conversion combination schemes are obtained, and each power conversion combination scheme comprises at least one power conversion station, deployment combination parameters corresponding to each power conversion station and deployment execution time; and feeding back a plurality of groups of power conversion combination schemes matched with the allocation data and the allocation emergency level to the user terminal, and selectively executing a power conversion combination scheme matched with a feedback signal based on the feedback signal of the user terminal. The user satisfaction is improved, and the management and adjustment efficiency of the system is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of management and adjustment of a multifunctional battery swapping system, and in particular to a management and adjustment method and system for a multifunctional battery swapping system. Background Art

[0002] With the acceleration of my country's urbanization process and the improvement of environmental awareness, electric bicycles, or two-wheeled electric vehicles, have been favored by the general public as a low-carbon and environmentally friendly means of travel. At present, most of the electric bicycle charging facilities on the market use traditional charging stations or charging piles, but these facilities have problems such as long charging time and low charging efficiency, which makes it difficult to meet the fast charging needs of two-wheeled electric vehicle users. In addition, the charging management of two-wheeled electric vehicles is relatively backward, lacking an effective intelligent management system, resulting in unreasonable allocation of charging resources, low charging efficiency, and even long waiting time in charging queues in some cases.

[0003] In order to solve the above problems, battery swap stations have emerged as a new type of charging facility. By providing fast battery swap services for electric bicycles, battery swap stations can recharge electric vehicles in a short time, greatly shortening the charging time and improving the charging efficiency. However, the management and adjustment methods for the battery swap system of electric bicycles in the prior art generally adopt a simple one-to-one power allocation strategy. This strategy has obvious limitations and cannot be flexibly adjusted according to actual needs, resulting in low scheduling efficiency and even waste of resources.

[0004] Therefore, there is an urgent need to propose a management and adjustment method and system for a multifunctional battery replacement system for electric bicycles, so as to achieve efficient and intelligent management of the battery replacement process of electric bicycles, improve the utilization rate of charging resources, and optimize the user's charging experience. Summary of the invention

[0005] The present disclosure provides a management and adjustment method and system for a multifunctional battery exchange system, which solves the technical problem that the management and adjustment method of the multifunctional battery exchange system in the prior art generally adopts a one-to-one power allocation, resulting in limitations in the allocation scheme, low scheduling efficiency, and even waste of resources.

[0006] According to the first aspect of the present disclosure, a management and adjustment method for a multifunctional battery swapping system is provided. The method is applied to a management and adjustment system for a multifunctional battery swapping system, wherein the management and adjustment system interacts with multiple battery swapping stations and user terminals, and the method comprises the following steps:

[0007] Based on the demand data or the deployment instruction received from the user terminal, acquiring deployment data matching the demand data or the deployment instruction and the deployment emergency level corresponding to the deployment data;

[0008] Substituting the deployment data and the deployment emergency level corresponding to the deployment data into the management adjustment model, so that according to the deployment data and the deployment emergency level corresponding to the deployment data, multiple groups of battery swap combination schemes are generated, and the multiple groups of battery swap combination schemes are screened to obtain a preset number of multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency level corresponding to the deployment data and the advantage type of each group of battery swap combination schemes, wherein the battery swap combination scheme includes at least one battery swap station, the deployment combination parameters corresponding to each battery swap station, and the deployment execution time;

[0009] The multiple groups of battery swap combination plans that match the deployment data and the deployment emergency levels corresponding to the deployment data are fed back to the user terminal, and based on the feedback signal of the user terminal, the battery swap combination plan that matches the feedback signal is selectively executed.

[0010] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein the demand data at least includes a demand power, a demand target, and a demand time, and the dispatch instruction at least includes a dispatch distance range, a dispatch target, a dispatch power, a dispatch time range, and a dispatch emergency level, and the acquiring, based on the demand data or the dispatch instruction received from the user terminal, dispatch data matching the demand data or the dispatch instruction and the dispatch emergency level corresponding to the dispatch data comprises:

[0011] Based on the dispatch instruction, generate instruction dispatch data and dispatch emergency level, wherein the instruction dispatch data includes multiple battery swap stations within the dispatch range, dispatch targets, dispatch power and dispatch time range;

[0012] or,

[0013] Based on the demand data, determine whether the demand data is reasonable, and generate unreasonable reasons:

[0014] If it is judged to be unreasonable, based on the unreasonable reasons, a demand modification suggestion is generated and fed back to the multi-network terminal;

[0015] If it is judged to be reasonable, generating demand allocation data based on the demand data, wherein the demand allocation data includes allocation time, allocation target and allocation power;

[0016] And based on the demand allocation data, determine the allocation urgency level.

[0017] According to the above aspects and any possible implementation manner, an implementation manner is further provided, wherein selectively generating deployment data and deployment emergency level based on the deployment instruction or demand data includes:

[0018] Based on the dispatch instruction, generate instruction dispatch data and dispatch emergency level, wherein the instruction dispatch data includes multiple battery swap stations within the dispatch range, dispatch targets, dispatch power and dispatch time range;

[0019] or,

[0020] Based on the demand data, generating demand allocation data, wherein the demand allocation data includes allocation time, allocation target and allocation power;

[0021] And based on the demand allocation data, determine the allocation urgency level.

[0022] According to the above aspects and any possible implementation, an implementation is further provided, wherein the deployment data and the deployment emergency level corresponding to the deployment data are substituted into the management adjustment model, so that multiple groups of battery swap combination schemes are generated according to the deployment data and the deployment emergency level corresponding to the deployment data, and the multiple groups of battery swap combination schemes are screened to obtain a preset number of multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency level corresponding to the deployment data, and the advantage type of each group of battery swap combination schemes includes:

[0023] Update the real-time data of each battery swap station, wherein the real-time data includes at least the adjustable power value, location data and battery swap speed of each battery swap station;

[0024] Obtaining a preset number corresponding to the deployment emergency level;

[0025] If the dispatching data is command dispatching data, based on the multiple swap stations and dispatched power in the dispatching range in the command dispatching data, it is determined whether there is a swap station that can independently perform power dispatching:

[0026] Based on the judgment results, multiple battery replacement combination plans are selectively generated;

[0027] Based on each battery swap combination plan, select a preset number of battery swap combination plans, and confirm the advantage type of each battery swap combination;

[0028] or,

[0029] If the deployment data is demand deployment data, multiple groups of battery swap stations are generated based on the demand deployment data and real-time data of each battery swap station, wherein each group of battery swap stations includes multiple battery swap stations;

[0030] Generate multiple battery swap combination plans based on real-time data of multiple battery swap station combinations, demand allocation data, and the allocation emergency level corresponding to the demand allocation data;

[0031] Based on each battery swap combination plan, a preset number of battery swap combination plans are selected, and the advantage type of each battery swap combination is confirmed.

[0032] According to the above aspects and any possible implementation, an implementation is further provided, wherein judging whether there is a battery swap station that can independently perform power allocation based on multiple battery swap stations and allocated power within the allocation range in the command allocation data includes:

[0033] Based on the real-time data of each of the multiple battery swap stations within the dispatching range in the command dispatching data, obtaining the total value of the dispatchable power of each battery swap station;

[0034] If the difference between the total value of the allocable power of the battery swap station and the allocated power in the command allocation data exceeds a preset power redundancy threshold, the battery swap station is determined to be a battery swap station that can independently perform power allocation, and it is determined that there is a battery swap station that can independently perform power allocation, and all battery swap stations that can independently perform power allocation are obtained;

[0035] If the difference between the total value of the allocable power of each battery swap station and the allocated power in the instruction allocation data does not exceed the preset power redundancy threshold, it is determined that there is no battery swap station that can perform power allocation independently.

[0036] According to the above aspects and any possible implementation, an implementation is further provided, wherein generating multiple groups of battery swap station combinations based on the demand dispatching data and the real-time data of each battery swap station includes:

[0037] Based on the real-time data of each battery swap station, multiple groups of battery swap station combinations are randomly generated, where each group of battery swap station combinations includes multiple battery swap stations;

[0038] Based on the real-time data of each battery swap station in each battery swap station combination, determine the available power of each battery swap station combination;

[0039] Based on the allocated power in the demand allocation data and the allocated power of each group of battery swap station combinations, multiple groups of battery swap station combinations are screened to obtain multiple groups of battery swap station combinations after screening;

[0040] The screened multiple groups of battery swap station combinations are used as the generated multiple groups of battery swap station combinations.

[0041] According to the above aspects and any possible implementation, a further implementation is provided, wherein selectively generating multiple battery replacement combination solutions based on the judgment result includes:

[0042] If the judgment is no, generating multiple groups of battery swap station combinations based on the real-time data of each of the multiple battery swap stations and the allocated power, wherein each group of battery swap station combinations includes multiple battery swap stations;

[0043] Based on the real-time data of the multiple groups of battery swap station combinations, the command dispatch data, and the dispatch emergency levels corresponding to the command dispatch data, the multiple groups of battery swap station combinations are screened to obtain the screened multiple groups of battery swap station combinations;

[0044] Based on the command dispatching data and the screened multiple groups of battery swap station combinations, generate a battery swap combination plan that matches each group of battery swap stations;

[0045] or,

[0046] If the answer is yes, all battery swap stations that can independently perform power allocation are determined:

[0047] Based on the number of battery swap stations that can independently perform power allocation, multiple groups of battery swap combination plans are selectively generated.

[0048] According to the above aspects and any possible implementation, an implementation is further provided, wherein the selectively generating multiple groups of power swap combination solutions based on the number of power swap stations that can independently perform power allocation includes:

[0049] If the difference between the number of battery swap stations that can independently perform power allocation and the preset number is less than twice the preset number, then based on the real-time data of multiple battery swap stations that cannot independently perform power allocation among the multiple battery swap stations and the allocated power, multiple groups of battery swap station combinations are generated, wherein each group of battery swap station combinations includes multiple battery swap stations that cannot independently perform power allocation;

[0050] Based on the real-time data of multiple groups of battery swap station combinations, the real-time data of each battery swap station that can independently perform power allocation, the command allocation data, and the allocation urgency level corresponding to the command allocation data, multiple battery swap stations that can independently perform power allocation and multiple groups of battery swap station combinations are screened to obtain multiple screened battery swap stations and / or battery swap station combinations;

[0051] Generate multiple battery swap combination plans based on the command dispatch data and the screened multiple battery swap stations and / or battery swap station combinations;

[0052] or,

[0053] If the difference between the number of battery swap stations that can independently perform power allocation and the preset number exceeds twice the preset number, based on the real-time data, command allocation data, and the allocation urgency level corresponding to the command allocation data of each battery swap station that can independently perform power allocation, multiple battery swap stations that can independently perform power allocation are screened to obtain multiple screened battery swap stations;

[0054] Based on the instruction dispatching data and the real-time data of multiple screened battery swapping stations, multiple battery swapping combination plans are generated.

[0055] According to the above aspects and any possible implementation, an implementation is further provided, wherein a preset number of multiple battery swap combination schemes are selected based on each battery swap combination scheme, and the advantage type of each battery swap combination is confirmed to include:

[0056] Based on each battery swap combination scheme, multiple types of score values ​​corresponding to each battery swap combination scheme are obtained, wherein the multiple types at least include the time required for deployment, the power redundancy value, and the deployment budget;

[0057] Based on multiple types, multiple groups of battery swap combination schemes are sorted respectively, and a preset number of multiple groups of battery swap combination schemes are selected, and the optimal value of each group of battery swap combination schemes in the sorting of multiple types is used as the dominant type of each group of battery swap combination schemes.

[0058] According to the second aspect of the present disclosure, a management and adjustment system is provided. The management and adjustment system interacts with multiple battery swap stations and user terminals, and includes a communication device, a management and adjustment model, and a control device. The communication device is used to realize communication connection with multiple battery swap stations and user terminals. The management and adjustment model is used to generate a battery swap deployment plan based on deployment data and deployment emergency level. The control device includes a processor and a memory, and the memory is suitable for storing multiple program codes, and the program code is suitable for being loaded and run by the processor to execute the management and adjustment method of the above-mentioned multifunctional battery swap system.

[0059] The above one or more technical solutions disclosed in the present invention have at least one or more of the following beneficial effects:

[0060] Through the demand data or deployment instructions of the user terminal, the corresponding deployment data and its deployment urgency level are obtained, and the feature extraction of the deployment data and its urgency is realized, so as to facilitate the subsequent accurate processing of the data, thereby improving the accuracy of data processing, and then the deployment data and its deployment urgency level are substituted into the management adjustment model, so that according to the deployment data and the deployment urgency level corresponding to the deployment data, multiple groups of battery replacement combination plans are generated, and the multiple groups of battery replacement combination plans are screened to obtain a preset number of multiple groups of battery replacement combination plans that match the deployment data and the deployment urgency level corresponding to the deployment data, as well as the advantage type of each group of battery replacement combination plans, thereby realizing automatic Automatically generate multiple groups of battery swap combination plans that match the deployment data and the deployment emergency levels corresponding to the deployment data, then feed back the multiple groups of battery swap combination plans to the user terminal, and selectively execute the battery swap combination plans based on their feedback signals, thereby ensuring that user needs and user wishes match the execution of the battery swap combination plans, improving user satisfaction, improving the management and adjustment efficiency of the multi-functional battery swap system, optimizing the battery swap service strategy, and thereby improving the user's charging experience; avoiding the common one-to-one power allocation adopted in the existing technology for the management and adjustment of the multi-functional battery swap system, which results in limitations in the deployment plan, low scheduling efficiency, and even waste of resources.

[0061] In the technical solution for implementing the present invention, in the model processing, by updating the real-time data of each battery swap station, the latest status of each battery swap station is timely acquired, and then a preset number is acquired. When the allocation data is command allocation data, according to the multiple battery swap stations and the allocated power in the command allocation data, it is judged whether there is a battery swap station that can perform power allocation independently, and according to the judgment result, multiple groups of battery swap combination plans are selectively generated, and then the multiple groups of battery swap combination plans are screened to select a preset number of multiple groups of battery swap combination plans, and confirm their respective advantage types, or when the allocation data is demand allocation data When calculating the power consumption of a battery swap station, the real-time data of each battery swap station is combined to generate multiple battery swap station combinations. Then, according to the real-time data of the multiple battery swap station combinations, the demand allocation data and the allocation urgency level, multiple battery swap combination plans are generated. Then, the multiple battery swap combination plans are screened, and a preset number of battery swap combination plans are selected, and their respective advantage types are confirmed, ensuring that the battery swap allocation plan matches the allocation data, improving the intelligent management capability of the management and adjustment model, and thus ensuring the timely supply of electricity while reducing the waste of resources in the allocation operation and reducing the operating cost, so as to effectively complete the allocation task of the battery swap station.

[0062] It should be understood that the contents described in the summary of the invention are not intended to limit the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, among which:

[0064] Figure 1 A flowchart showing a management and adjustment method of a multifunctional battery swapping system according to an embodiment of the present disclosure is shown;

[0065] Figure 2 A block diagram of a management adjustment system according to an embodiment of the present disclosure is shown.

[0066] Description of reference numerals:

[0067] 200: management and adjustment system; 201: control device; 2011: processor; 2012: memory; 2013: program code; 202: management and adjustment model; 2021: solution type reference library; 203: communication device. DETAILED DESCRIPTION

[0068] In order to make the purpose, technical solution and advantages of the embodiments of the present disclosure clearer, the technical solution in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present disclosure.

[0069] In the description of the present disclosure, "module" and "processor" may include hardware, software or a combination of the two. A module may include hardware circuits, various suitable sensors, communication ports, and memories, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, hardware, or a combination of the two. Non-temporary computer-readable storage media include any suitable medium that can store program codes, such as a magnetic disk, a hard disk, an optical disk, a flash memory, a read-only memory, a random access memory, and the like. The term "A and / or B" means all possible combinations of A and B, such as only A, only B, or A and B. The term "at least one A or B" or "at least one of A and B" has a similar meaning to "A and / or B", and may include only A, only B, or A and B. The singular terms "one" and "the" may also include plural forms.

[0070] See attached Figure 1 , Figure 1 FIG. 1 is a flow chart showing a method for managing and adjusting a multifunctional battery swapping system according to an embodiment of the present disclosure. Figure 1 As shown, the management and adjustment method of the multifunctional battery exchange system in the embodiment of the present disclosure is applied to the management and adjustment system of the multifunctional battery exchange system, and the management and adjustment system interacts with multiple battery exchange stations and user terminals. The method mainly includes the following steps S101-S103.

[0071] Step S101: based on the demand data or the deployment instruction received from the user terminal, acquiring the deployment data matching the demand data or the deployment instruction and the deployment emergency level corresponding to the deployment data;

[0072] Specifically, the demand data includes at least a demand power, a demand target, and a demand time, the dispatch instruction includes at least a dispatch distance range, a dispatch target, a dispatch power, a dispatch time range, and a dispatch emergency level, and the acquiring, based on the demand data or the dispatch instruction received from the user terminal, dispatch data matching the demand data or the dispatch instruction and the dispatch emergency level corresponding to the dispatch data includes:

[0073] Based on the dispatch instruction, generate instruction dispatch data and dispatch emergency level, wherein the instruction dispatch data includes multiple battery swap stations within the dispatch range, dispatch targets, dispatch power and dispatch time range;

[0074] or,

[0075] Based on the demand data, determine whether the demand data is reasonable, and generate unreasonable reasons:

[0076] If it is judged to be unreasonable, based on the unreasonable reasons, a demand modification suggestion is generated and fed back to the multi-network terminal;

[0077] If it is judged to be reasonable, generating demand allocation data based on the demand data, wherein the demand allocation data includes allocation time, allocation target and allocation power;

[0078] And based on the demand allocation data, determine the allocation urgency level.

[0079] Specifically, the method for judging whether the demand data is reasonable based on the demand data can adopt a trained machine learning model, and the method for generating demand modification suggestions and generating unreasonable reasons based on the unreasonable reasons can adopt a trained machine learning model or a trained neural network model. The selection of the method for judging whether the demand data is reasonable based on the demand data and the method for generating demand modification suggestions and generating unreasonable reasons based on the unreasonable reasons is only an exemplary description. In actual testing, technical personnel in this field can make a choice according to actual needs, as long as it can be realized to judge whether the demand data is reasonable and generate unreasonable reasons based on the demand data, and generate demand modification suggestions based on the unreasonable reasons, and it will not be repeated here.

[0080] Specifically, the selectively generating the deployment data and the deployment emergency level based on the deployment instruction or demand data includes:

[0081] Based on the dispatch instruction, generate instruction dispatch data and dispatch emergency level, wherein the instruction dispatch data includes multiple battery swap stations within the dispatch range, dispatch targets, dispatch power and dispatch time range;

[0082] or,

[0083] Based on the demand data, generating demand allocation data, wherein the demand allocation data includes allocation time, allocation target and allocation power;

[0084] And based on the demand allocation data, determine the allocation urgency level.

[0085] Step S102: Substituting the deployment data and the deployment emergency level corresponding to the deployment data into the management adjustment model, so that according to the deployment data and the deployment emergency level corresponding to the deployment data, multiple groups of battery swap combination schemes are generated, and the multiple groups of battery swap combination schemes are screened to obtain a preset number of multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency level corresponding to the deployment data and the advantage type of each group of battery swap combination schemes, wherein the battery swap combination scheme includes at least one battery swap station, the deployment combination parameters corresponding to each battery swap station, and the deployment execution time;

[0086] Specifically, the deployment data and the deployment emergency level corresponding to the deployment data are substituted into the management adjustment model, so that according to the deployment data and the deployment emergency level corresponding to the deployment data, multiple groups of battery swap combination schemes are generated, and the multiple groups of battery swap combination schemes are screened to obtain a preset number of multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency level corresponding to the deployment data, and the advantage types of each group of battery swap combination schemes include:

[0087] Update the real-time data of each battery swap station, wherein the real-time data includes at least the adjustable power value, location data and battery swap speed of each battery swap station;

[0088] Obtaining a preset number corresponding to the deployment emergency level;

[0089] If the dispatching data is command dispatching data, based on the multiple swap stations and dispatched power in the dispatching range in the command dispatching data, it is determined whether there is a swap station that can independently perform power dispatching:

[0090] Based on the judgment results, multiple battery replacement combination plans are selectively generated;

[0091] Based on each battery swap combination plan, select a preset number of battery swap combination plans, and confirm the advantage type of each battery swap combination;

[0092] or,

[0093] If the deployment data is demand deployment data, multiple groups of battery swap stations are generated based on the demand deployment data and real-time data of each battery swap station, wherein each group of battery swap stations includes multiple battery swap stations;

[0094] Generate multiple battery swap combination plans based on real-time data of multiple battery swap station combinations, demand allocation data, and the allocation emergency level corresponding to the demand allocation data;

[0095] Based on each battery swap combination plan, a preset number of battery swap combination plans are selected, and the advantage type of each battery swap combination is confirmed.

[0096] Specifically, judging whether there is a battery swap station that can independently perform power allocation based on the multiple battery swap stations and the allocated power within the allocation range in the command allocation data includes:

[0097] Based on the real-time data of each of the multiple battery swap stations within the dispatching range in the command dispatching data, obtaining the total value of the dispatchable power of each battery swap station;

[0098] If the difference between the total value of the allocable power of the battery swap station and the allocated power in the command allocation data exceeds a preset power redundancy threshold, the battery swap station is determined to be a battery swap station that can independently perform power allocation, and it is determined that there is a battery swap station that can independently perform power allocation, and all battery swap stations that can independently perform power allocation are obtained;

[0099] If the difference between the total value of the allocable power of each battery swap station and the allocated power in the instruction allocation data does not exceed the preset power redundancy threshold, it is determined that there is no battery swap station that can perform power allocation independently.

[0100] Specifically, the total value of the adjustable power of each battery swap station is obtained by the following formula:

[0101] The total value of the deployable power of each battery swap station = the sum of (power data of each battery swap station - the power value in the data to be deployed of the battery swap station).

[0102] Specifically, the preset power redundancy threshold is obtained by the following formula:

[0103] The preset power redundancy threshold value=the allocated power in the command allocation data*the preset coefficient corresponding to the allocated power*(1+the weight value corresponding to the allocation emergency level).

[0104] Specifically, the generating of multiple groups of battery swap station combinations based on the demand deployment data and the real-time data of each battery swap station includes:

[0105] Based on the real-time data of each battery swap station, multiple groups of battery swap station combinations are randomly generated, where each group of battery swap station combinations includes multiple battery swap stations;

[0106] Based on the real-time data of each battery swap station in each battery swap station combination, determine the available power of each battery swap station combination;

[0107] Based on the allocated power in the demand allocation data and the allocated power of each group of battery swap station combinations, multiple groups of battery swap station combinations are screened to obtain multiple groups of battery swap station combinations after screening;

[0108] The screened multiple groups of battery swap station combinations are used as the generated multiple groups of battery swap station combinations.

[0109] Specifically, based on the allocated power in the demand allocation data and the allocated power of each group of battery swap station combinations, multiple groups of battery swap station combinations are screened, and the screened multiple groups of battery swap station combinations include:

[0110] If the available power of the battery swap station combination is lower than the allocated power in the demand allocation data, it is determined that the battery swap station combination does not meet the requirements, and the battery swap station combination is eliminated;

[0111] If the difference between the available power of the battery swap station combination and the allocated power in the demand allocation data exceeds the preset power redundancy threshold, it is determined that the battery swap station combination meets the requirements, and the battery swap station combination is retained;

[0112] In order to obtain multiple groups of battery swap station combinations after screening.

[0113] Specifically, the generating of multiple battery swap combination schemes based on the real-time data of multiple battery swap station combinations, demand allocation data, and the allocation emergency level corresponding to the demand allocation data includes:

[0114] Based on the real-time data of the multiple groups of battery swap station combinations, the demand allocation data, and the allocation emergency level corresponding to the demand allocation data, the multiple groups of battery swap station combinations are screened to obtain the screened multiple groups of battery swap station combinations;

[0115] Based on the demand allocation data and the screened multiple groups of battery swap station combinations, a battery swap combination plan matching each group of battery swap stations is generated.

[0116] Specifically, based on the real-time data of the multiple groups of battery swap station combinations, the demand allocation data, and the allocation emergency level corresponding to the demand allocation data, the multiple groups of battery swap station combinations are screened, and the screened multiple groups of battery swap station combinations include:

[0117] Based on the dispatching target in the demand dispatching data and the real-time data of each battery swap station, determining the distance between each battery swap station and the battery swap station corresponding to the dispatching target;

[0118] Based on the battery swapping speed in the real-time data of each battery swapping station and the distance between each battery swapping station and the battery swapping station corresponding to the dispatching target, the dispatching time required for each battery swapping station is obtained;

[0119] Based on multiple battery swap stations in each battery swap station combination, the time required for dispatching each battery swap station combination is obtained;

[0120] Based on the time required for the deployment of each group of battery swap station combinations and the deployment time range in the instruction deployment data, multiple groups of battery swap station combinations are screened to obtain multiple screened groups of battery swap station combinations.

[0121] Specifically, based on the time required for the deployment of each group of battery swap station combinations and the deployment time range in the command deployment data, multiple groups of battery swap station combinations are screened, and the screened multiple groups of battery swap station combinations include:

[0122] If the time required for the deployment of the battery swap station combination exceeds the deployment time range in the command deployment data, it is determined that the battery swap station combination does not meet the requirements, and the battery swap station combination is eliminated;

[0123] If the difference between the deployment time range in the command deployment data and the deployment time required for the combination of battery swap stations exceeds a preset time redundancy threshold, it is determined that the combination of battery swap stations meets the requirements, and the combination of battery swap stations is retained;

[0124] In order to obtain multiple combinations of battery swap stations after screening.

[0125] Specifically, the preset time redundancy threshold may be 10 minutes or 20 minutes. The preset time redundancy threshold setting here is only an exemplary description. In actual testing, those skilled in the art may set it according to actual needs, which will not be described in detail here.

[0126] Specifically, based on the multiple battery swap stations in each battery swap station combination, obtaining the time required for the deployment of each battery swap station combination includes:

[0127] The longest deployment time among the multiple battery swap stations in each battery swap station combination is used as the deployment time of the battery swap station combination.

[0128] Specifically, the selectively generating multiple battery swap combination solutions based on the judgment result includes:

[0129] If the judgment is no, generating multiple groups of battery swap station combinations based on the real-time data of each of the multiple battery swap stations and the allocated power, wherein each group of battery swap station combinations includes multiple battery swap stations;

[0130] Based on the real-time data of the multiple groups of battery swap station combinations, the command dispatch data, and the dispatch emergency levels corresponding to the command dispatch data, the multiple groups of battery swap station combinations are screened to obtain the screened multiple groups of battery swap station combinations;

[0131] Based on the command dispatch data and the screened multiple groups of battery swap station combinations, generate a battery swap combination plan that matches each group of battery swap stations;

[0132] or,

[0133] If the answer is yes, then determine all the battery swap stations that can independently perform power allocation:

[0134] Based on the number of battery swap stations that can independently perform power allocation, multiple groups of battery swap combination plans are selectively generated.

[0135] Specifically, the selectively generating multiple groups of battery swap combination solutions based on the number of battery swap stations that can independently perform power allocation includes:

[0136] If the difference between the number of battery swap stations that can independently perform power allocation and the preset number is less than twice the preset number, then based on the real-time data of multiple battery swap stations that cannot independently perform power allocation among the multiple battery swap stations and the allocated power, multiple groups of battery swap station combinations are generated, wherein each group of battery swap station combinations includes multiple battery swap stations that cannot independently perform power allocation;

[0137] Based on the real-time data of multiple groups of battery swap station combinations, the real-time data of each battery swap station that can independently perform power allocation, the command allocation data, and the allocation urgency level corresponding to the command allocation data, multiple battery swap stations that can independently perform power allocation and multiple groups of battery swap station combinations are screened to obtain multiple screened battery swap stations and / or battery swap station combinations;

[0138] Generate multiple battery swap combination plans based on the command dispatch data and the screened multiple battery swap stations and / or battery swap station combinations;

[0139] or,

[0140] If the difference between the number of battery swap stations that can independently perform power allocation and the preset number exceeds twice the preset number, based on the real-time data, command allocation data, and the allocation urgency level corresponding to the command allocation data of each battery swap station that can independently perform power allocation, multiple battery swap stations that can independently perform power allocation are screened to obtain multiple screened battery swap stations;

[0141] Based on the instruction dispatching data and the real-time data of multiple screened battery swapping stations, multiple battery swapping combination plans are generated.

[0142] Specifically, the method for generating the battery swap combination plan may adopt a trained machine learning model or a trained neural network model. The selection of the method for generating the battery swap combination plan here is only an exemplary description. As long as multiple groups of battery swap combination plans can be generated according to the instruction allocation data and the screened multiple battery swap stations and / or battery swap station combinations, or multiple groups of battery swap combination plans can be generated according to the instruction allocation data and the screened real-time data of the multiple battery swap stations, it will not be repeated here.

[0143] Specifically, based on each battery swap combination scheme, a preset number of battery swap combination schemes are selected, and the advantage types of each battery swap combination are confirmed to include:

[0144] Based on each battery swap combination scheme, multiple types of score values ​​corresponding to each battery swap combination scheme are obtained, wherein the multiple types at least include the time required for deployment, the power redundancy value, and the deployment budget;

[0145] Based on multiple types, multiple groups of battery swap combination schemes are sorted respectively, and a preset number of multiple groups of battery swap combination schemes are selected, and the optimal value of each group of battery swap combination schemes in the sorting of multiple types is used as the dominant type of each group of battery swap combination schemes.

[0146] Specifically, the management adjustment model stores a preset solution type comparison library, which includes multiple types, a score value corresponding to each type, and a data range corresponding to each score value. The score values ​​of multiple types corresponding to each battery replacement combination scheme based on each group of battery replacement combination schemes include:

[0147] Based on each group of battery swap combination schemes and a preset scheme type reference library, the multiple types of score values ​​corresponding to each group of battery swap combination schemes are determined.

[0148] In the above embodiment, in the model processing, by updating the real-time data of each battery swap station, the latest status of each battery swap station is timely acquired, and then the preset number is acquired. When the allocation data is instruction allocation data, according to the multiple battery swap stations and the allocated power in the instruction allocation data, it is judged whether there is a battery swap station that can perform power allocation independently, and according to the judgment result, multiple groups of battery swap combination plans are selectively generated, and then the multiple groups of battery swap combination plans are screened to select a preset number of multiple groups of battery swap combination plans, and confirm their respective advantage types, or when the allocation data is demand allocation data, Combined with the real-time data of each battery swap station, multiple groups of battery swap station combinations are generated. Then, based on the real-time data of the multiple battery swap station combinations, the demand allocation data and their allocation urgency levels, multiple groups of battery swap combination plans are generated. Then, the multiple groups of battery swap combination plans are screened, and a preset number of battery swap combination plans are selected, and their respective advantage types are confirmed, ensuring that the battery swap allocation plan matches the allocation data, improving the intelligent management capability of the management and adjustment model, and thereby ensuring the timely supply of electricity while reducing the waste of resources in the allocation operation and reducing operating costs, so as to effectively complete the allocation tasks of the battery swap stations.

[0149] Step S103: Feedback the multiple groups of battery swap combination plans that match the deployment data and the deployment emergency levels corresponding to the deployment data to the user terminal, and based on the feedback signal of the user terminal, selectively execute the battery swap combination plan that matches the feedback signal.

[0150] Specifically, the selectively executing a battery replacement combination scheme matching the feedback signal based on the feedback signal of the user terminal includes:

[0151] Based on the feedback signal from the user terminal, execute a battery swap combination plan that matches the feedback signal, or adjust the multiple groups of battery swap combination plans that match the deployment data and the deployment emergency levels corresponding to the deployment data to obtain multiple groups of adjusted battery swap combination plans, and re-execute "feeding back the multiple groups of battery swap combination plans that match the deployment data and the deployment emergency levels corresponding to the deployment data to the user terminal" and subsequent steps.

[0152] Specifically, the adjustment method for adjusting the multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency levels corresponding to the deployment data can adopt a trained machine learning model or a neural network model. The selection of the adjustment method for adjusting the multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency levels corresponding to the deployment data here is only an exemplary explanation. In actual tests, technical personnel in this field can make a selection according to actual needs, as long as it is possible to adjust the multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency levels corresponding to the deployment data to obtain multiple groups of adjusted battery swap combination schemes, and make the adjusted battery swap deployment schemes have a higher score value than the advantage type corresponding to the multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency levels corresponding to the deployment data. It will not be repeated here.

[0153] According to the embodiments of the present disclosure, the following technical effects are achieved:

[0154] Through the demand data or deployment instructions of the user terminal, the corresponding deployment data and its deployment urgency level are obtained, and the feature extraction of the deployment data and its urgency is realized, so as to facilitate the subsequent accurate processing of the data, thereby improving the accuracy of data processing, and then the deployment data and its deployment urgency level are substituted into the management adjustment model, so that according to the deployment data and the deployment urgency level corresponding to the deployment data, multiple groups of battery replacement combination plans are generated, and the multiple groups of battery replacement combination plans are screened to obtain a preset number of multiple groups of battery replacement combination plans that match the deployment data and the deployment urgency level corresponding to the deployment data, as well as the advantage type of each group of battery replacement combination plans, thereby realizing automatic Automatically generate multiple groups of battery swap combination plans that match the deployment data and the deployment emergency levels corresponding to the deployment data, then feed back the multiple groups of battery swap combination plans to the user terminal, and selectively execute the battery swap combination plans based on their feedback signals, thereby ensuring that user needs and user wishes match the execution of the battery swap combination plans, improving user satisfaction, improving the management and adjustment efficiency of the multi-functional battery swap system, optimizing the battery swap service strategy, and thereby improving the user's charging experience; avoiding the common one-to-one power allocation adopted in the existing technology for the management and adjustment of the multi-functional battery swap system, which results in limitations in the deployment plan, low scheduling efficiency, and even waste of resources.

[0155] It should be pointed out that although the various steps in the above embodiments are described in a specific order, those skilled in the art can understand that in order to achieve the effects of the present disclosure, different steps do not have to be performed in such an order. They can be performed simultaneously (in parallel) or in other orders. These changes are within the scope of protection of the present disclosure.

[0156] Furthermore, the present disclosure also provides a management adjustment system.

[0157] See attached Figure 2 , Figure 2 FIG. 1 shows a block diagram of a management adjustment system according to an embodiment of the present disclosure. Figure 2As shown, the management and adjustment system 200 in the embodiment of the present disclosure interacts with multiple battery swap stations and user terminals. The management and adjustment system includes a communication device 203, a management and adjustment model 202, and a control device 201. The communication device 203 is used to realize communication connection with multiple battery swap stations and user terminals. The management and adjustment model 202 is used to generate a battery swap allocation plan based on the allocation data and the allocation emergency level. The control device 201 includes a processor 2011 and a memory 2012. The memory 2012 can be configured to store a program code 2013 for executing the management and adjustment method of the multifunctional battery swap system of the above method embodiment. The processor 2011 can be configured to execute the program code 2013 in the memory 2012, and the program code 2013 includes but is not limited to the program code 2013 for executing the management and adjustment method of the multifunctional battery swap system of the above method embodiment. For ease of explanation, only the part related to the embodiment of the present disclosure is shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present disclosure. The control device 201 can be a control device formed by various electronic devices.

[0158] Specifically, the management adjustment model 202 also stores a preset solution type comparison library 2021, and the preset solution type comparison library 2021 includes multiple types, a score value corresponding to each type, and a data range corresponding to each score value.

[0159] Specifically, the specific communication connection mode for information interaction between the communication device 203 and the control terminals and user terminals of multiple battery swap stations is not restrictive, and the technicians can set it according to the actual use requirements, as long as the communication connection can be achieved, for example, it can be connected through wifi or Bluetooth, etc. In addition, as a preferred setting method, when the user terminal or the control terminal of the battery swap station is a mobile phone or a tablet computer, the administrator or user of the battery swap station can set up an app to facilitate the operation of the administrator. Of course, it can also be operated directly through the web page. This is not restrictive, and the technicians can set it according to the actual use requirements.

[0160] Specifically, the communication device 203 can be a wireless communication device in the prior art, or it can be a wired communication device. The selection of the communication device 203 here is only an exemplary description. In actual testing, technical personnel in this field can make a selection according to actual needs. As long as the communication device 203 can be used to realize information interaction with control terminals of multiple battery swap stations and user terminals, it will not be repeated here.

[0161] In one implementation, the description of the specific implementation functions may refer to steps S101 to S103.

[0162] The management adjustment system 200 is used to perform Figure 1 The embodiment of the management and adjustment method of the multifunctional battery exchange system shown in the figure has similar technical principles, technical problems solved and technical effects produced. Technical personnel in this technical field can clearly understand that for the convenience and conciseness of description, the specific working process and related instructions of the management and adjustment system 200 can refer to the contents described in the embodiment of the management and adjustment method of the multifunctional battery exchange system, which will not be repeated here.

[0163] It is understood by those skilled in the art that all or part of the processes in the method for implementing the above-mentioned embodiment of the present disclosure can also be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor 2011, the steps of each of the above-mentioned method embodiments can be implemented. The computer program includes a computer program code 2013, and the computer program code 2013 can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium can include: any entity or device, medium, U disk, mobile hard disk, disk, optical disk, computer memory 2012, read-only memory 2012, random access memory 2012, electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code 2013. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable storage medium does not include electric carrier signal and telecommunication signal.

[0164] Furthermore, the management and adjustment system of the present disclosure also includes a computer-readable storage medium. In a computer-readable storage medium embodiment according to the present disclosure, the computer-readable storage medium can be configured to store a program code 2013 for executing the management and adjustment method of the multifunctional battery exchange system of the above-mentioned method embodiment. The program code 2013 can be loaded and run by the processor 2011 to implement the management and adjustment method of the multifunctional battery exchange system. For ease of explanation, only the parts related to the embodiment of the present disclosure are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present disclosure. The computer-readable storage medium can be a memory 2012 device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiment of the present disclosure is a non-temporary computer-readable storage medium.

[0165] Further, it should be understood that since the setting of each module is only for illustrating the functional units of the device of the present disclosure, the physical devices corresponding to these modules may be the processor 2011 itself, or a part of the software, a part of the hardware, or a part of the combination of software and hardware in the processor 2011. Therefore, the number of each module in the figure is only schematic.

[0166] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor 2011, which can be a dedicated or general programmable processor 2011, which can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0167] The program code 2013 for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes 2013 can be provided to a processor 2011 or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code 2013, when executed by the processor 2011 or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code 2013 can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0168] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0169] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A management and adjustment method for a multifunctional battery swapping system, characterized in that: The method is applied to a management and adjustment system of a multifunctional battery swapping system, wherein the management and adjustment system interacts with multiple battery swapping stations and user terminals, and the method comprises the following steps: Based on the demand data or the deployment instruction received from the user terminal, acquiring deployment data matching the demand data or the deployment instruction and the deployment emergency level corresponding to the deployment data; Substituting the deployment data and the deployment emergency level corresponding to the deployment data into the management adjustment model, so that according to the deployment data and the deployment emergency level corresponding to the deployment data, multiple groups of battery swap combination schemes are generated, and the multiple groups of battery swap combination schemes are screened to obtain a preset number of multiple groups of battery swap combination schemes that match the deployment data and the deployment emergency level corresponding to the deployment data and the advantage type of each group of battery swap combination schemes, wherein the battery swap combination scheme includes at least one battery swap station, the deployment combination parameters corresponding to each battery swap station, and the deployment execution time; The multiple groups of battery swap combination plans that match the deployment data and the deployment emergency levels corresponding to the deployment data are fed back to the user terminal, and based on the feedback signal of the user terminal, the battery swap combination plan that matches the feedback signal is selectively executed.

2. The method according to claim 1, characterized in that The demand data at least includes a demand power, a demand target, and a demand time, the dispatch instruction at least includes a dispatch distance range, a dispatch target, a dispatch power, a dispatch time range, and a dispatch emergency level, and the acquiring, based on the demand data or the dispatch instruction received from the user terminal, dispatch data matching the demand data or the dispatch instruction and the dispatch emergency level corresponding to the dispatch data includes: Based on the dispatch instruction, generate instruction dispatch data and dispatch emergency level, wherein the instruction dispatch data includes multiple battery swap stations within the dispatch range, dispatch targets, dispatch power and dispatch time range; or, Based on the demand data, determine whether the demand data is reasonable, and generate unreasonable reasons: If it is judged to be unreasonable, based on the unreasonable reasons, a demand modification suggestion is generated and fed back to the multi-network terminal; If it is judged to be reasonable, generating demand allocation data based on the demand data, wherein the demand allocation data includes allocation time, allocation target and allocation power; And based on the demand allocation data, determine the allocation urgency level.

3. The method according to claim 2, characterized in that The selectively generating the deployment data and the deployment emergency level based on the deployment instruction or the demand data includes: Based on the dispatch instruction, generate instruction dispatch data and dispatch emergency level, wherein the instruction dispatch data includes multiple battery swap stations within the dispatch range, dispatch targets, dispatch power and dispatch time range; or, Based on the demand data, generating demand allocation data, wherein the demand allocation data includes allocation time, allocation target and allocation power; And based on the demand allocation data, determine the allocation urgency level.

4. The method according to claim 3, characterized in that: Substituting the deployment data and the deployment emergency level corresponding to the deployment data into the management adjustment model, a plurality of battery swap combination schemes are generated according to the deployment data and the deployment emergency level corresponding to the deployment data, and the plurality of battery swap combination schemes are screened to obtain a preset number of battery swap combination schemes that match the deployment data and the deployment emergency level corresponding to the deployment data, and the advantage type of each battery swap combination scheme includes: Update the real-time data of each battery swap station, wherein the real-time data includes at least the adjustable power value, location data and battery swap speed of each battery swap station; Obtaining a preset number corresponding to the deployment emergency level; If the dispatching data is command dispatching data, based on the multiple swap stations and dispatched power in the dispatching range in the command dispatching data, it is determined whether there is a swap station that can independently perform power dispatching: Based on the judgment results, multiple battery replacement combination plans are selectively generated; Based on each battery swap combination plan, select a preset number of battery swap combination plans, and confirm the advantage type of each battery swap combination; or, If the deployment data is demand deployment data, multiple groups of swap station combinations are generated based on the demand deployment data and the real-time data of each swap station, wherein each group of swap station combinations includes multiple swap stations: Generate multiple battery swap combination plans based on real-time data of multiple battery swap station combinations, demand allocation data, and the allocation emergency level corresponding to the demand allocation data; Based on each battery swap combination plan, a preset number of battery swap combination plans are selected, and the advantage type of each battery swap combination is confirmed.

5. The method according to claim 4, characterized in that The determining whether there is a battery swap station that can independently perform power allocation based on the multiple battery swap stations and the allocated power within the allocation range in the command allocation data comprises: Based on the real-time data of each of the multiple battery swap stations within the dispatching range in the command dispatching data, obtaining the total value of the dispatchable power of each battery swap station; If the difference between the total value of the allocable power of the battery swap station and the allocated power in the command allocation data exceeds a preset power redundancy threshold, the battery swap station is determined to be a battery swap station that can independently perform power allocation, and it is determined that there is a battery swap station that can independently perform power allocation, and all battery swap stations that can independently perform power allocation are obtained; If the difference between the total value of the allocable power of each battery swap station and the allocated power in the instruction allocation data does not exceed the preset power redundancy threshold, it is determined that there is no battery swap station that can perform power allocation independently.

6. The method according to claim 5, characterized in that The generating of multiple groups of battery swap station combinations based on the demand deployment data and the real-time data of each battery swap station includes: Based on the real-time data of each battery swap station, multiple groups of battery swap station combinations are randomly generated, where each group of battery swap station combinations includes multiple battery swap stations; Based on the real-time data of each battery swap station in each battery swap station combination, determine the available power of each battery swap station combination; Based on the allocated power in the demand allocation data and the allocated power of each group of battery swap station combinations, multiple groups of battery swap station combinations are screened to obtain multiple groups of battery swap station combinations after screening; The screened multiple groups of battery swap station combinations are used as the generated multiple groups of battery swap station combinations.

7. The method according to claim 6, characterized in that The selectively generating multiple battery swap combination solutions based on the judgment result includes: If the judgment is no, generating multiple groups of battery swap station combinations based on the real-time data of each of the multiple battery swap stations and the allocated power, wherein each group of battery swap station combinations includes multiple battery swap stations; Based on the real-time data of the multiple groups of battery swap station combinations, the command dispatch data, and the dispatch emergency levels corresponding to the command dispatch data, the multiple groups of battery swap station combinations are screened to obtain the screened multiple groups of battery swap station combinations; Based on the command dispatch data and the screened multiple groups of battery swap station combinations, generate a battery swap combination plan that matches each group of battery swap stations; or, If the answer is yes, all battery swap stations that can independently perform power allocation are determined: Based on the number of battery swap stations that can independently perform power allocation, multiple groups of battery swap combination plans are selectively generated.

8. The method according to claim 7, characterized in that The selectively generating multiple groups of power swap combination solutions based on the number of power swap stations that can independently perform power allocation includes: If the difference between the number of battery swap stations that can independently perform power allocation and the preset number is less than twice the preset number, then based on the real-time data of multiple battery swap stations that cannot independently perform power allocation among the multiple battery swap stations and the allocated power, multiple groups of battery swap station combinations are generated, wherein each group of battery swap station combinations includes multiple battery swap stations that cannot independently perform power allocation; Based on the real-time data of multiple groups of battery swap station combinations, the real-time data of each battery swap station that can independently perform power allocation, the command allocation data, and the allocation urgency level corresponding to the command allocation data, multiple battery swap stations that can independently perform power allocation and multiple groups of battery swap station combinations are screened to obtain multiple screened battery swap stations and / or battery swap station combinations; Generate multiple groups of battery swap combination plans based on the command dispatch data and the screened multiple battery swap stations and / or battery swap station combinations; or, If the difference between the number of battery swap stations that can independently perform power allocation and the preset number exceeds twice the preset number, based on the real-time data, command allocation data, and the allocation urgency level corresponding to the command allocation data of each battery swap station that can independently perform power allocation, multiple battery swap stations that can independently perform power allocation are screened to obtain multiple screened battery swap stations; Based on the instruction dispatching data and the real-time data of multiple screened battery swapping stations, multiple battery swapping combination plans are generated.

9. The method according to claim 8, characterized in that Based on each battery swap combination scheme, a preset number of battery swap combination schemes are selected, and the advantage types of each battery swap combination are confirmed to include: Based on each battery swap combination scheme, multiple types of score values ​​corresponding to each battery swap combination scheme are obtained, wherein the multiple types at least include the time required for deployment, the power redundancy value, and the deployment budget; Based on multiple types, multiple groups of battery swap combination schemes are sorted respectively, and a preset number of multiple groups of battery swap combination schemes are selected, and the optimal value of each group of battery swap combination schemes in the sorting of multiple types is used as the dominant type of each group of battery swap combination schemes.

10. A management adjustment system, characterized in that: The management and adjustment system exchanges information with multiple battery swap stations and user terminals. The management and adjustment system includes a communication device, a management and adjustment model, and a control device. The communication device is used to achieve communication connections with multiple battery swap stations and user terminals. The management and adjustment model is used to generate a battery swap deployment plan based on deployment data and deployment emergency levels. The control device includes a processor and a memory. The memory is suitable for storing multiple program codes. The program codes are suitable for being loaded and run by the processor to execute the management and adjustment method of a multifunctional battery swap system as described in any one of claims 1 to 9.

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