Charging device construction planning method and device, terminal and storage medium
By simulating the vehicle behavior in the charging station, combining user satisfaction and investment costs, the charging device construction scenario is determined, and the problem of unreasonable construction of charging device in the existing technology is solved, and the rationality and efficiency of construction is improved.
Patent Information
- Application Number
- CN202411402555.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-09
- Publication Date
- 2025-03-11
AI Technical Summary
When building charging devices of charging stations in the prior art, the vehicle behavior of the charging station is not considered, resulting in unreasonable construction of charging devices.
By obtaining the actual parking information of each parking space in the target charging station in the previous period, using simulation models to simulate the parking prediction information of the next period, simulate several charging device construction scenarios, determine investment costs and user satisfaction, and then determine the target charging device construction scenario.
It improves the rationality of the construction of charging devices, ensures that charging facilities meet vehicle needs, and controls resource waste.
Smart Images

Figure CN119599240A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of charging station construction, and in particular to a charging device construction planning method, device, terminal and storage medium. Background Art
[0002] With the development of electric vehicles, charging stations that provide charging services for electric vehicles are constantly being built. When using parking lots as charging stations to build charging devices, since the parking spaces in the parking lots may be used to park gasoline vehicles as well as electric vehicles, it is necessary to reasonably plan the construction of charging devices.
[0003] In the prior art, charging equipment is generally constructed based on the minimum station investment standard without considering the vehicle behavior of the charging station, which leads to unreasonable construction of charging equipment in the charging station.
[0004] Therefore, the prior art has defects and needs to be improved and developed. Summary of the invention
[0005] The technical problem to be solved by the present invention is that, in view of the above-mentioned defects of the prior art, a charging device construction planning method, device, terminal and storage medium are provided, aiming to solve the problem that in the prior art, when constructing charging devices for charging stations, the vehicle behavior of the charging station is not taken into consideration, which leads to unreasonable construction of charging devices in the charging stations.
[0006] The technical solution adopted by the present invention to solve the technical problem is as follows:
[0007] A method for planning construction of a charging device, wherein the method comprises:
[0008] Acquire actual parking information of each parking space in the target charging station in the previous period, and simulate in a pre-built simulation model according to the actual parking information to obtain parking prediction information of each parking space in the target charging station in the next period;
[0009] Simulating several charging device construction scenarios, determining investment costs corresponding to the several charging device construction scenarios, and determining user satisfaction corresponding to the several charging device construction scenarios based on the parking prediction information;
[0010] A target charging device construction scenario is determined from among the plurality of charging device construction scenarios according to the investment cost and user satisfaction, and charging construction information corresponding to the target charging device construction scenario is used as a charging device construction planning result.
[0011] In one embodiment of the present application, the actual parking information includes: the total number of electric vehicles that entered the target charging station in the previous period and the parking positions of the electric vehicles in the target charging station in the previous period.
[0012] In one embodiment of the present application, the charging construction information corresponding to the charging device construction scenario includes: the number of charging devices to be constructed and the target parking space locations for constructing the charging devices; the maximum load current corresponding to each of the charging device construction scenarios is less than or equal to the maximum thermal capacity current that the power system connected to the target charging station can withstand.
[0013] In one embodiment of the present application, the parking prediction information includes: the total number of electric vehicles that will enter the target charging station in the next period and the parking locations of the electric vehicles in the target charging station in the next period;
[0014] Determining user satisfaction corresponding to a number of charging device construction scenarios based on the parking prediction information includes:
[0015] Based on the parking positions of electric vehicles in the target charging station in the next period, determine the number of target electric vehicles parked in the parking spaces corresponding to the target parking spaces in each charging device construction scenario;
[0016] According to the target number of electric vehicles and the total number of electric vehicles that will enter the target charging station in the next period, the user satisfaction under each charging device construction scenario is obtained.
[0017] In one embodiment of the present application, the user satisfaction under each charging device construction scenario is obtained according to the target number of electric vehicles and the total number of electric vehicles that will enter the target charging station in the next period, including:
[0018] The ratio of the target number of electric vehicles under each charging device construction scenario to the total number of electric vehicles that will enter the target charging station in the next period is calculated to obtain the user satisfaction under each charging device construction scenario.
[0019] In one embodiment of the present application, the investment cost includes: charging device expansion cost, charging device purchase cost, line laying cost of the parking space corresponding to the target parking space position, and charging device maintenance cost.
[0020] In one embodiment of the present application, determining a target charging device construction scenario from among several charging device construction scenarios according to the investment cost and user satisfaction includes:
[0021] The charging device construction scenarios with user satisfaction greater than a preset threshold are used as the initial screening charging device construction scenarios;
[0022] The initially screened charging device construction scenario with the lowest investment cost is taken as the target charging device construction scenario.
[0023] The embodiment of the present application also provides a charging device construction planning device, wherein the device includes:
[0024] An acquisition module is used to acquire actual parking information of each parking space in the target charging station in the previous period, and simulate the parking prediction information of each parking space in the target charging station in the next period in a pre-built simulation model according to the actual parking information;
[0025] A simulation module, used to simulate several charging device construction scenarios, determine the investment costs corresponding to the several charging device construction scenarios, and determine the user satisfaction corresponding to the several charging device construction scenarios based on the parking prediction information;
[0026] A determination module is used to determine a target charging device construction scenario from among the plurality of charging device construction scenarios according to the investment cost and user satisfaction, and to use the charging construction information corresponding to the target charging device construction scenario as a charging device construction planning result.
[0027] An embodiment of the present application also provides a terminal, which includes: a memory, a processor, and a charging device construction planning program stored in the memory and executable on the processor, wherein the charging device construction planning program implements the steps of the charging device construction planning method described above when executed by the processor.
[0028] An embodiment of the present application also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program can be executed to implement the steps of the charging device construction planning method as described above.
[0029] The present invention provides a charging device construction planning method, device, terminal and storage medium, the method comprising: obtaining the actual parking information of each parking space in the target charging station in the previous period, simulating the parking prediction information of each parking space in the target charging station in the next period in a pre-constructed simulation model according to the actual parking information; simulating several charging device construction scenarios, determining the investment costs corresponding to the several charging device construction scenarios, and determining the user satisfaction corresponding to the several charging device construction scenarios based on the parking prediction information; determining the target charging device construction scenario in the several charging device construction scenarios according to the investment cost and user satisfaction, and using the charging construction information corresponding to the target charging device construction scenario as the charging device construction planning result. This application simulates the parking prediction information in the target charging station in the next period, takes into account the vehicle behavior in the charging station, determines the charging device construction planning result in combination with user satisfaction and investment cost, and improves the rationality of charging device construction. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 It is a flow chart of a preferred embodiment of the charging device construction planning method of the present invention;
[0031] Figure 2 It is a functional principle block diagram of a preferred embodiment of the charging device construction planning device in the present invention;
[0032] Figure 3 It is a functional principle block diagram of a preferred embodiment of the terminal in the present invention. DETAILED DESCRIPTION
[0033] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0034] The following describes the charging device construction planning method, device, terminal and storage medium of the embodiment of the present application with reference to the accompanying drawings. In view of the problem mentioned in the above background technology that when constructing charging devices for charging stations, the vehicle behavior of the charging station is not considered, which easily leads to too few charging devices being built to meet the vehicle charging needs, or too many charging devices being built, resulting in waste of resources, and thus leading to unreasonable construction of charging devices in charging stations, the present application provides a charging device construction planning method, in which the actual parking information of each parking space in the target charging station in the previous period is obtained, and the parking prediction information of each parking space in the target charging station in the next period is simulated in a pre-constructed simulation model according to the actual parking information; several charging device construction scenarios are simulated to determine the investment costs corresponding to the several charging device construction scenarios, and the user satisfaction corresponding to the several charging device construction scenarios is determined based on the parking prediction information; the target charging device construction scenario is determined in the several charging device construction scenarios according to the investment cost and user satisfaction, and the charging construction information corresponding to the target charging device construction scenario is used as the charging device construction planning result. This application simulates the parking prediction information in the target charging station in the next period, takes into account the vehicle behavior in the charging station, and determines the charging device construction planning results based on user satisfaction and investment cost, thereby improving the rationality of the charging device construction.
[0035] Specifically, Figure 1 A schematic flow chart of a charging device construction planning method provided in an embodiment of the present application.
[0036] like Figure 1 As shown, the charging device construction planning method described in the embodiment of the present invention includes:
[0037] Step S100: Acquire actual parking information of each parking space in the target charging station in the previous period, and simulate in a pre-built simulation model according to the actual parking information to obtain parking prediction information of each parking space in the target charging station in the next period.
[0038] Specifically, when constructing the simulation model, historical data and structural features of the target charging station can be collected, such as the average parking time of vehicles parked at the station, the average charging order time of historical electric vehicles, the probability of parking vehicles in each parking space, and the type of parked vehicles (traditional fuel vehicles or electric vehicles). The structural features are: Where T ix represents the historical average parking time of electric vehicle users; T ic represents the expected charging time for electric vehicle users; is the parking probability parameter of each parking space, representing the probability that the parking space is selected and parked by each car entering the station; is the distance from each parking space to the parking lot exit, which is based on the plane structure design of the station. The simulation is carried out based on these data.
[0039] In the embodiment of the present application, the actual parking information includes: the total number of electric vehicles that entered the target charging station in the previous period and the parking positions of the electric vehicles in the target charging station in the previous period.
[0040] Specifically, an embodiment of the present application is a rolling planning method. For example, taking one month as a time period, the actual parking information of each parking space in the previous time period is used to predict the parking prediction information of each parking space in the next time period, and then a decision on the construction of charging devices for different parking spaces in the next time period is made.
[0041] The embodiment of the present application improves the rationality of construction by continuously using real-time information to make decisions on the construction of charging devices for each parking space in the next stage.
[0042] like Figure 1 As shown, the charging device construction planning method described in this embodiment also includes:
[0043] Step S200, simulating several charging device construction scenarios, determining the investment costs corresponding to the several charging device construction scenarios, and determining the user satisfaction corresponding to the several charging device construction scenarios based on the parking prediction information.
[0044] In an embodiment of the present application, the charging construction information corresponding to the charging device construction scenario includes: the number of charging devices to be constructed and the target parking space locations for constructing the charging devices; the maximum load current corresponding to each of the charging device construction scenarios is less than or equal to the maximum thermal capacity current that the power system connected to the target charging station can withstand.
[0045] Specifically, assuming that several charging devices are built at the target charging station, as well as the parking spaces where each charging device is located, to form several charging device construction scenarios, the investment cost and user satisfaction required for construction according to each charging device construction scenario can be calculated. The maximum load current required for each charging device construction scenario cannot exceed the maximum thermal capacity current that the power system connected to the charging station can withstand, that is:
[0046]
[0047] In the formula, represents the maximum load current required for each charging device construction scenario, t represents the unit time, T represents the time period, It indicates the maximum thermal capacity current that the power system connected to the charging station can withstand. A means that the charging device is connected to phase A of the three-phase circuit laid in the charging station. B means that the charging device is connected to phase B of the three-phase circuit laid in the charging station. C means that the charging device is connected to phase C of the three-phase circuit laid in the charging station.
[0048] The embodiment of the present application simulates the number of parking spaces to be built and the locations of charging devices to be built, and then calculates user satisfaction and investment costs, so as to select a construction scenario based on user satisfaction and investment costs.
[0049] In one embodiment of the present application, the parking prediction information includes: the total number of electric vehicles that will enter the target charging station in the next period and the parking positions of the electric vehicles in the target charging station in the next period. The step S200 of "determining the user satisfaction corresponding to several charging device construction scenarios based on the parking prediction information" specifically includes:
[0050] Based on the parking positions of electric vehicles in the target charging station in the next period, determine the number of target electric vehicles parked in the parking spaces corresponding to the target parking spaces in each charging device construction scenario;
[0051] According to the target number of electric vehicles and the total number of electric vehicles that will enter the target charging station in the next period, the user satisfaction under each charging device construction scenario is obtained.
[0052] In an embodiment of the present application, based on the target number of electric vehicles and the total number of electric vehicles that will enter the target charging station in the next time period, the user satisfaction level under each charging device construction scenario is obtained. Specifically, the ratio of the target number of electric vehicles under each charging device construction scenario to the total number of electric vehicles that will enter the target charging station in the next time period is calculated to obtain the user satisfaction level under each charging device construction scenario.
[0053] Specifically, the calculation formula for user satisfaction is:
[0054]
[0055] in, Indicates the number of target electric vehicles parked in the parking space corresponding to the target parking space position; Represents the total number of electric vehicles entering the target charging station.
[0056] The target number of electric vehicles parked in parking spaces corresponding to the target parking spaces and the total number of electric vehicles entering the target charging station are determined based on parking prediction information obtained by simulation of the simulation model.
[0057] Specifically, the constructed simulation model is as follows:
[0058]
[0059] Where n is the parking space number, d is the owner number, It represents the decision matrix of the car owner. For each electric vehicle that enters, its score for each parking space can be generated to form a matrix of the number of parking spaces to simulate the choice of the car owner. The parking space with the highest score will become the parking space selected by the car owner d, recorded as position i. When the car owner d selects position i, the next car owner d+1 cannot choose this position repeatedly (the score is recorded as 0) until the expected parking time of the car owner d is reached. (Based on the historical average parking time T ix As the set value), d leaves the position, and the position becomes available again and is included in the decision matrix of the next vehicle owner entering; It is the status matrix of each location in the charging station, recording whether there are electric vehicles parked. is the parking probability parameter of each parking space, which represents the probability that the parking space is selected and parked by each car entering the station, and is obtained from the historical parking data of each parking space in the station; is the coefficient of the surrounding parking space occupancy of each parking space when the vehicle enters t, expressed as a score. When there are vehicles parked around parking space n, it will increase the difficulty for car owner d to park in the parking space, thus reducing the car owner's score for the parking space. That is, if there are no vehicles parked in the adjacent parking spaces of parking space n, the score is the highest. If there are vehicles parked on one side of parking space n, the score is medium. If there are vehicles parked on both sides of parking space n, the score is low. is the distance from each parking space to the parking lot exit. * The number is equal to the parking space that car owner d finally parked. * If the number of the parking space where the charging device is to be built coincides with that of the target parking space, the charging vehicle is recorded as satisfied. Plus one. t represents unit time. For electric car owner d, the location where the charging pile is installed will be more attractive to the owner to park. This preference is reflected in middle.
[0060] The embodiment of the present application obtains user satisfaction under each charging device construction scenario by calculating the ratio of the target number of electric vehicles under each charging device construction scenario to the total number of electric vehicles that will enter the target charging station in the next period of time. That is, user satisfaction is defined according to the ratio of the number of parking spaces for charging devices to be constructed to the total number of electric vehicles, thereby realizing the construction of charging devices based on vehicle behavior and improving rationality.
[0061] In the embodiment of the present application, the investment cost includes: the charging device expansion cost, the charging device purchase cost, the line laying cost of the parking space corresponding to the target parking space position, and the charging device maintenance cost.
[0062] Specifically, the hardware structure data such as the transformer model, line layout, and distance from the parking space to the parking lot exit of the station are obtained to build an investment cost model for the internal spatial location coupling of the station. The station operation cost caused by the charging load can be expressed as:
[0063]
[0064] Among them, Cost mob represents the investment cost, The cost of expanding the power system is proportional to the number of charging devices to be added. Indicates the purchase cost of charging devices, which is proportional to the number of new charging devices to be added. The line laying cost of the parking space corresponding to the target parking space is related to the number and location of the additional charging devices to be installed. represents the maintenance cost of the charging device, which is proportional to the total number of charging devices. Specifically, It includes the line laying cost caused by the different locations of parking spaces from electrical connection points (such as transformers and busbars).
[0065] The embodiment of the present application takes into account the expansion, purchase and maintenance costs of the charging device, as well as the cost of laying the line, so that the calculation of the investment cost is more reasonable.
[0066] like Figure 1 As shown, the charging device construction planning method described in this embodiment also includes:
[0067] Step S300: determining a target charging device construction scenario from among the plurality of charging device construction scenarios according to the investment cost and user satisfaction, and using the charging construction information corresponding to the target charging device construction scenario as a charging device construction planning result.
[0068] Specifically, the charging device construction planning results include: the number of charging devices to be built and the target parking space locations for building the charging devices.
[0069] In the embodiment of the present application, the step S300 of “determining a target charging device construction scenario from among the plurality of charging device construction scenarios according to the investment cost and user satisfaction” specifically includes:
[0070] The charging device construction scenarios with user satisfaction greater than a preset threshold are used as the initial screening charging device construction scenarios;
[0071] The initially screened charging device construction scenario with the lowest investment cost is taken as the target charging device construction scenario.
[0072] Specifically, the embodiment of the present application selects a solution with high user satisfaction and low investment cost for construction, so that the construction solution can be applicable to the target charging station.
[0073] The embodiment of the present application no longer constructs charging devices for charging stations all at once, but divides the time periods and performs real-time construction updates. Specifically, the construction plan for the next time period is predicted based on the actual parking information of the previous time period. For example, charging devices are constructed in 50 of the 100 parking spaces in the parking lot. After the next time period, the construction plan for the third time period can be predicted based on the actual parking information of the next time period. If the construction plan for the third time period is updated, different processing plans are used for fixed charging piles and movable shared charging devices.
[0074] Specifically, for fixed charging piles, the expansion construction of charging equipment can continue according to the construction plan of the third period; for movable shared charging devices, expansion construction can be carried out, or the previous movable charging devices can be moved to the parking space currently needed.
[0075] In this way, the embodiments of the present application are based on real-time power data, user interaction and optimized intelligent decision-making, so that charging stations can achieve goals such as high user satisfaction, high charging station operating efficiency, and low power system expansion costs under the large-scale electric vehicle charging demand, thereby achieving a balance among car owners, stations, and power grids.
[0076] In one embodiment, if Figure 2 As shown, based on the above-mentioned charging device construction planning method, the present invention also provides a charging device construction planning device, including:
[0077] The acquisition module 100 is used to acquire the actual parking information of each parking space in the target charging station in the previous period, and simulate the parking prediction information of each parking space in the target charging station in the next period in a pre-built simulation model according to the actual parking information;
[0078] A simulation module 200, for simulating several charging device construction scenarios, determining the investment costs corresponding to the several charging device construction scenarios, and determining the user satisfaction corresponding to the several charging device construction scenarios based on the parking prediction information;
[0079] The determination module 300 is used to determine a target charging device construction scenario from among the plurality of charging device construction scenarios according to the investment cost and user satisfaction, and use the charging construction information corresponding to the target charging device construction scenario as a charging device construction planning result.
[0080] Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application. The terminal may include:
[0081] A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .
[0082] When the processor 502 executes the program, the charging device construction planning method provided in the above embodiment is implemented.
[0083] Furthermore, the terminal further includes:
[0084] The communication interface 503 is used for communication between the memory 501 and the processor 502 .
[0085] The memory 501 is used to store computer programs that can be executed on the processor 502 .
[0086] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
[0087] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one line is used in the figure, but it does not mean that there is only one bus or one type of bus.
[0088] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.
[0089] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.
[0090] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the above-mentioned charging device construction planning method is implemented.
[0091] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.
[0092] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0093] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes additional implementations, in which the order shown or discussed may not be followed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.
[0094] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can read instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically by optically scanning the paper or other medium and then editing, interpreting or otherwise processing in a suitable manner if necessary and then storing it in a computer memory.
[0095] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.
[0096] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.
[0097] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.
[0098] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.
[0099] In summary, the present invention discloses a charging device construction planning method, device, terminal and storage medium, the method comprising: obtaining the actual parking information of each parking space in the target charging station in the previous period, simulating the parking prediction information of each parking space in the target charging station in the next period in a pre-constructed simulation model according to the actual parking information; simulating several charging device construction scenarios, determining the investment costs corresponding to several charging device construction scenarios, and determining the user satisfaction corresponding to several charging device construction scenarios based on the parking prediction information; determining the target charging device construction scenario in several of the charging device construction scenarios according to the investment cost and user satisfaction, and using the charging construction information corresponding to the target charging device construction scenario as the charging device construction planning result. This application simulates the parking prediction information in the target charging station in the next period, takes into account the vehicle behavior in the charging station, determines the charging device construction planning result in combination with user satisfaction and investment cost, and improves the rationality of charging device construction.
[0100] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.
Claims
1. A charging device construction planning method, characterized in that: The method comprises: Acquire actual parking information of each parking space in the target charging station in the previous period, and simulate in a pre-built simulation model according to the actual parking information to obtain parking prediction information of each parking space in the target charging station in the next period; Simulating several charging device construction scenarios, determining investment costs corresponding to the several charging device construction scenarios, and determining user satisfaction corresponding to the several charging device construction scenarios based on the parking prediction information; A target charging device construction scenario is determined from among the plurality of charging device construction scenarios according to the investment cost and user satisfaction, and charging construction information corresponding to the target charging device construction scenario is used as a charging device construction planning result.
2. The method for planning construction of charging equipment according to claim 1, characterized in that: The actual parking information includes: the total number of electric vehicles that entered the target charging station in the previous period and the parking positions of the electric vehicles in the target charging station in the previous period.
3. The method for planning construction of charging equipment according to claim 1, characterized in that: The charging construction information corresponding to the charging device construction scenario includes: the number of charging devices to be built and the target parking space location for building the charging device; the maximum load current corresponding to each of the charging device construction scenarios is less than or equal to the maximum thermal capacity current that the power system connected to the target charging station can withstand.
4. The method for planning construction of charging equipment according to claim 3, characterized in that: The parking prediction information includes: the total number of electric vehicles that will enter the target charging station in the next period and the parking positions of the electric vehicles in the target charging station in the next period; Determining user satisfaction corresponding to a number of charging device construction scenarios based on the parking prediction information includes: Based on the parking positions of electric vehicles in the target charging station in the next period, determine the number of target electric vehicles parked in the parking spaces corresponding to the target parking spaces in each charging device construction scenario; According to the target number of electric vehicles and the total number of electric vehicles that will enter the target charging station in the next period, the user satisfaction under each charging device construction scenario is obtained.
5. The method for planning construction of charging equipment according to claim 4, characterized in that: According to the target number of electric vehicles and the total number of electric vehicles that will enter the target charging station in the next period, the user satisfaction under each charging device construction scenario is obtained, including: The ratio of the target number of electric vehicles under each charging device construction scenario to the total number of electric vehicles that will enter the target charging station in the next period is calculated to obtain the user satisfaction under each charging device construction scenario.
6. The method for planning construction of charging equipment according to claim 1, characterized in that: The investment cost includes: charging device expansion cost, charging device purchase cost, line laying cost of the parking space corresponding to the target parking space position and charging device maintenance cost.
7. The method for planning construction of charging equipment according to claim 1, characterized in that: Determining a target charging device construction scenario from among the charging device construction scenarios according to the investment cost and user satisfaction includes: The charging device construction scenarios with user satisfaction greater than a preset threshold are used as the initial screening charging device construction scenarios; The initially screened charging device construction scenario with the lowest investment cost is taken as the target charging device construction scenario.
8. A charging device construction planning device, characterized in that: The device comprises: An acquisition module is used to acquire actual parking information of each parking space in the target charging station in the previous period, and simulate the parking prediction information of each parking space in the target charging station in the next period in a pre-built simulation model according to the actual parking information; A simulation module, used to simulate several charging device construction scenarios, determine the investment costs corresponding to the several charging device construction scenarios, and determine the user satisfaction corresponding to the several charging device construction scenarios based on the parking prediction information; A determination module is used to determine a target charging device construction scenario from among the plurality of charging device construction scenarios according to the investment cost and user satisfaction, and to use the charging construction information corresponding to the target charging device construction scenario as a charging device construction planning result.
9. A terminal, characterized in that: include: A memory, a processor, and a charging device construction planning program stored in the memory and executable on the processor, wherein when the charging device construction planning program is executed by the processor, the steps of the charging device construction planning method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program can be executed to implement the steps of the charging device construction planning method according to any one of claims 1 to 7.
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