Method and device for measuring and calculating operation efficiency of electric vehicle charging station

Abstract

The invention relates to the technical field of charging station planning, and particularly provides an electric vehicle charging station operation efficiency measuring and calculating method and device, and the method comprises the steps: substituting an input data standard value and an output data standard value of a to-be-measured electric vehicle charging station into a pre-constructed efficiency judgment model, and carrying out the solving, the efficiency value of the to-be-measured electric vehicle charging station is obtained; determining effective electric vehicle charging stations and redundant electric vehicle charging stations in the electric vehicle charging stations to be measured and calculated based on the efficiency values of the electric vehicle charging stations to be measured and calculated; and substituting the input data standard value and the output data standard value of the effective electric vehicle charging station into a pre-constructed super-efficiency model and solving to obtain an efficiency measurement result of the effective electric vehicle charging station. According to the technical scheme provided by the invention, scientific measurement of the operation efficiency of the charging station is realized, the decision units with the operation efficiency lower than the leading edge level can be accurately identified, the input redundancy and the output insufficiency of the decision units can be quantified, and a basis is provided for accurate optimization.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of charging station planning, and particularly relates to a method and device for measuring and calculating the operation efficiency of electric vehicle charging stations. BACKGROUND

[0002] In recent years, under the promotion of global energy structure transformation and low-carbon development, the transportation field is undergoing profound changes. Accelerating the construction of an energy supply system centered on charging infrastructure and improving the operation efficiency and service capacity of charging facilities have become important development goals. Therefore, the global charging station scale continues to expand, but at the same time, there are problems such as regional supply and demand imbalance, low equipment utilization rate, and high operating costs. Therefore, it is urgent to improve the operation efficiency and resource allocation level through scientific evaluation methods and optimization strategies.

[0003] The existing charging station efficiency evaluation methods mainly include single index method, multi-index weighted method and data envelopment analysis (DEA) method, etc. However, the efficiency is measured by a single economic index (such as yield) or technical index (such as utilization rate), which lacks multi-dimensional comprehensiveness and is easy to cause decision deviation. The multi-index weighted calculation is performed by manually setting the weight, which is highly subjective and difficult to reflect the real efficiency level. The data envelopment analysis (DEA) method can evaluate the comprehensive efficiency of a multi-input and multi-output system, but in the actual charging station operation, the traditional DEA has the following disadvantages: 1. It is difficult to provide a basis for optimization sorting because it cannot effectively distinguish the stations with the same efficiency value (=1); 2. It lacks combination with real-time supply and demand status, resulting in inaccurate optimization suggestions; 3. It lacks an automatic and executable operation improvement closed-loop process. SUMMARY

[0004] In order to overcome the above-mentioned defects, the present application provides a method and device for measuring and calculating the operation efficiency of electric vehicle charging stations.

[0005] In a first aspect, a method for measuring and calculating the operation efficiency of electric vehicle charging stations is provided, which comprises:

[0006] The input data standard value and the output data standard value of the electric vehicle charging station to be measured and calculated are substituted into a pre-constructed efficiency judgment model and solved to obtain the efficiency value of the electric vehicle charging station to be measured and calculated;

[0007] Based on the efficiency value of the electric vehicle charging station to be measured and calculated, the effective electric vehicle charging station and the redundant electric vehicle charging station in the electric vehicle charging station to be measured and calculated are determined;

[0008] The input data standard value and the output data standard value of the effective electric vehicle charging station are substituted into a pre-constructed super-efficiency model and solved to obtain the efficiency calculation result of the effective electric vehicle charging station.

[0009] Preferably, the input data comprises at least one of construction cost, operating personnel cost, number of charging piles and total charging power, and the output data comprises at least one of unit kilowatt net profit, time utilization rate and power utilization rate.

[0010] Preferably, for the direct data in the input data and output data, the standardization is performed according to the following formula:

[0011]

[0012] For the inverse data in the input data and output data, the standardization is performed according to the following formula:

[0013]

[0014] In the above formula, z ij is the standard value of the i th input data or output data of the j th electric vehicle charging station, s ij is the i th input data or output data of the j th electric vehicle charging station, is the minimum value of the i th input data or output data of the j th electric vehicle charging station, is the maximum value of the i th input data or output data of the j th electric vehicle charging station.

[0015] Preferably, the objective function in the pre-constructed efficiency judgment model is as follows:

[0016]

[0017] In the above formula, λ j is the linear combination number of the j th electric vehicle charging station, y rj is the r th output data value of the j th electric vehicle charging station, θ j is the efficiency value of the j th electric vehicle charging station, x ij is the i th input data value of the j th electric vehicle charging station, s is the number of output data categories, and m is the number of input data categories.

[0018] Further, the constraint condition in the pre-constructed efficiency judgment model is as follows:

[0019]

[0020] λ j ≥ 0, 0 < θ j ≤ 1

[0021] In the above formula, n is the total number of electric vehicle charging stations.

[0022] Preferably, the determining the effective electric vehicle charging station and the redundant electric vehicle charging station in the to-be-calculated electric vehicle charging station based on the efficiency value of the to-be-calculated electric vehicle charging station comprises:

[0023] The to-be-calculated electric vehicle charging station with the efficiency value equal to 1 is regarded as the effective electric vehicle charging station, and the to-be-calculated electric vehicle charging station with the efficiency value less than 1 is regarded as the invalid electric vehicle charging station.

[0024] Preferably, the objective function in the pre-constructed super-efficiency model is as follows:

[0025] min θ j

[0026] The constraint condition in the pre-constructed super-efficiency model is as follows:

[0027]

[0028] In the above formula, λ j is the linear combination number of the jth electric vehicle charging station, y rj is the rth output data value of the jth electric vehicle charging station, θ j is the efficiency value of the jth electric vehicle charging station, x ij is the ith input data value of the jth electric vehicle charging station, n is the total number of electric vehicle charging stations, x ik is the ith input data value of the kth electric vehicle charging station, y rk is the rth output data value of the kth electric vehicle charging station.

[0029] Preferably, after the determining the effective electric vehicle charging station and the redundant electric vehicle charging station in the to-be-calculated electric vehicle charging station based on the efficiency value of the to-be-calculated electric vehicle charging station, the method further comprises:

[0030] The optimization scheme is configured to optimize the efficiency of the redundant electric vehicle charging station until the redundant electric vehicle charging station is converted into the effective electric vehicle charging station.

[0031] The optimization scheme comprises reducing the construction investment, personnel configuration, equipment quantity and / or total power configuration proportion of the redundant electric vehicle charging station.

[0032] In a second aspect, an electric vehicle charging station operation efficiency calculation device is provided, which comprises:

[0033] A first analysis module is configured to substitute the input data standard value and the output data standard value of the to-be-calculated electric vehicle charging station into a pre-constructed efficiency judgment model and solve the efficiency value of the to-be-calculated electric vehicle charging station.

[0034] A judgment module is configured to determine the effective electric vehicle charging station and the redundant electric vehicle charging station in the electric vehicle charging station to be measured based on the efficiency value of the electric vehicle charging station to be measured.

[0035] A second analysis module is configured to substitute the input data standard value and the output data standard value of the effective electric vehicle charging station into a pre-constructed super-efficiency model and solve the model to obtain the efficiency measurement result of the effective electric vehicle charging station.

[0036] In a third aspect, a computer device is provided, which comprises one or more processors.

[0037] The processor is configured to store one or more programs.

[0038] When the one or more programs are executed by the one or more processors, the electric vehicle charging station operation efficiency measurement method is implemented.

[0039] In a fourth aspect, a computer readable storage medium is provided, which has a computer program stored thereon, and the computer program is executed to implement the electric vehicle charging station operation efficiency measurement method.

[0040] The one or more technical solutions of the present application have at least one or more of the following beneficial effects:

[0041] The present application relates to the technical field of charging station planning, and specifically provides an electric vehicle charging station operation efficiency measurement method and device, which comprises the following steps: substituting the input data standard value and the output data standard value of an electric vehicle charging station to be measured into a pre-constructed efficiency judgment model and solving the model to obtain the efficiency value of the electric vehicle charging station to be measured; determining the effective electric vehicle charging station and the redundant electric vehicle charging station in the electric vehicle charging station to be measured based on the efficiency value of the electric vehicle charging station to be measured; and substituting the input data standard value and the output data standard value of the effective electric vehicle charging station into a pre-constructed super-efficiency model and solving the model to obtain the efficiency measurement result of the effective electric vehicle charging station. The technical solution provided by the present application realizes scientific measurement of the operation efficiency of the charging station, can accurately identify the decision unit with an operation efficiency lower than the frontier level, and quantifies the input redundancy and output deficiency, thereby providing a basis for precise optimization. Furthermore, the technical solution provided by the present application breaks through the limitation of the traditional DEA that cannot distinguish the advantages and disadvantages of high-efficiency units, and can accurately reflect the relative advantage degree of each high-efficiency unit. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 FIG. 1 is a main step flowchart of the electric vehicle charging station operation efficiency measurement method of the embodiment of the present application. DETAILED DESCRIPTION

[0043] The specific embodiments of the present application will be further described in details below with reference to the accompanying drawings.

[0044] To make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0045] Embodiment 1

[0046] Referring to the accompanying drawings Figure 1 , Figure 1 is the main step flowchart of the electric vehicle charging station operation efficiency calculation method of an embodiment of the present application. As shown in Figure 1 , the electric vehicle charging station operation efficiency calculation method in the embodiment of the present application mainly includes the following steps:

[0047] Step S101: substituting the input data standard value and the output data standard value of the electric vehicle charging station to be calculated into the efficiency judgment model constructed in advance and solving, to obtain the efficiency value of the electric vehicle charging station to be calculated;

[0048] Step S102: determining the effective electric vehicle charging station and the redundant electric vehicle charging station in the electric vehicle charging station to be calculated based on the efficiency value of the electric vehicle charging station to be calculated;

[0049] Step S103: substituting the input data standard value and the output data standard value of the effective electric vehicle charging station into the super-efficiency model constructed in advance and solving, to obtain the efficiency calculation result of the effective electric vehicle charging station.

[0050] In the embodiment, the input data includes at least one of the following: construction cost, operator cost, number of charging piles and total charging power, and the output data includes at least one of the following: unit kilowatt net profit, time utilization rate and power utilization rate.

[0051] In the embodiment, for the positive data in the input data and the output data, the standardization is performed according to the following formula:

[0052]

[0053] For the inverse data in the input data and the output data, the standardization is performed according to the following formula:

[0054]

[0055] In the above formula, z ijs is the i th input data or output data standard value of the j th electric vehicle charging station ij s is the i th input data or output data of the j th electric vehicle charging station s is the i th input data or output data minimum value of the j th electric vehicle charging station s is the i th input data or output data maximum value of the j th electric vehicle charging station

[0056] In this embodiment, the objective function in the pre-constructed efficiency judgment model is as follows:

[0057]

[0058] In the above formula, λ j y is the linear combination number of the j th electric vehicle charging station rj s is the r th output data value of the j th electric vehicle charging station j s is the efficiency value of the j th electric vehicle charging station ij s is the i th input data value of the j th electric vehicle charging station, s is the number of output data categories, and m is the number of input data categories.

[0059] In one embodiment, the constraint condition in the pre-constructed efficiency judgment model is as follows:

[0060]

[0061] λ j ≥0,0<θ j ≤1

[0062] In the above formula, n is the total number of electric vehicle charging stations.

[0063] In this embodiment, the efficiency value of the to-be-tested electric vehicle charging station is determined based on the efficiency value of the to-be-tested electric vehicle charging station, and the effective electric vehicle charging station and the redundant electric vehicle charging station in the to-be-tested electric vehicle charging station are determined.

[0064] The to-be-tested electric vehicle charging station with an efficiency value equal to 1 is regarded as an effective electric vehicle charging station, and the to-be-tested electric vehicle charging station with an efficiency value less than 1 is regarded as an invalid electric vehicle charging station.

[0065] In this embodiment, when the efficiency value of the charging station is 1, the operation efficiency of the charging station cannot be distinguished. In order to further compare and analyze the charging station, the present application introduces a super-efficiency model, and the objective function in the pre-constructed super-efficiency model is as follows:

[0066] minθ j

[0067] The constraint condition in the pre-constructed super-efficiency model is as follows:

[0068]

[0069] In the above formula, λ j is the linear combination number of the jth electric vehicle charging station, y rj is the rth output data value of the jth electric vehicle charging station, θ j is the efficiency value of the jth electric vehicle charging station, x ij is the ith input data value of the jth electric vehicle charging station, n is the total number of electric vehicle charging stations, x ik is the ith input data value of the kth electric vehicle charging station, y rk is the rth output data value of the kth electric vehicle charging station.

[0070] In this embodiment, for the charging station with an efficiency value less than 1, the construction input, personnel allocation, equipment quantity and total power allocation ratio that should be reduced are calculated according to the principle that the target input is equal to the product of the efficiency value and the actual input, and then targeted optimization suggestions are formed, such as reducing idle charging piles, adjusting the fast and slow charging ratio, improving the utilization rate during peak hours, etc., to promote the convergence of the low-efficiency station to the efficiency frontier. Therefore, after determining the effective electric vehicle charging station and the redundant electric vehicle charging station in the to-be-calculated electric vehicle charging station based on the efficiency value of the to-be-calculated electric vehicle charging station, the method comprises:

[0071] configuring an optimization scheme to optimize the efficiency of the redundant electric vehicle charging station until the redundant electric vehicle charging station is converted into an effective electric vehicle charging station;

[0072] The optimization scheme comprises reducing the construction input, personnel allocation, equipment quantity and / or total power allocation ratio of the redundant electric vehicle charging station.

[0073] Embodiment 2

[0074] Based on the same inventive concept, the present application also provides an electric vehicle charging station operation efficiency calculation device, which comprises:

[0075] a first analysis module configured to substitute the input data standard value and the output data standard value of the to-be-calculated electric vehicle charging station into a pre-constructed efficiency judgment model and solve the model to obtain the efficiency value of the to-be-calculated electric vehicle charging station;

[0076] a judgment module configured to determine the effective electric vehicle charging station and the redundant electric vehicle charging station in the to-be-calculated electric vehicle charging station based on the efficiency value of the to-be-calculated electric vehicle charging station;

[0077] The second analysis module is configured to substitute the input data standard value and the output data standard value of the effective electric vehicle charging station into a pre-constructed super-efficiency model and solve the super-efficiency model to obtain an efficiency calculation result of the effective electric vehicle charging station.

[0078] Preferably, the input data includes at least one of construction cost, operator cost, charging pile number and total charging power, and the output data includes at least one of unit kilowatt net profit, time utilization rate and power utilization rate.

[0079] Preferably, for the direct data in the input data and the output data, the standardization is performed according to the following formula:

[0080]

[0081] For the inverse data in the input data and the output data, the standardization is performed according to the following formula:

[0082]

[0083] In the above formula, z ij is the i-th input data or output data standard value of the j-th electric vehicle charging station, s ij is the i-th input data or output data of the j-th electric vehicle charging station, is the minimum value of the i-th input data or output data of the j-th electric vehicle charging station, is the maximum value of the i-th input data or output data of the j-th electric vehicle charging station.

[0084] Preferably, the objective function in the pre-constructed efficiency judgment model is as follows:

[0085]

[0086] In the above formula, λ j is the linear combination number of the j-th electric vehicle charging station, y rj is the r-th output data value of the j-th electric vehicle charging station, θ j is the efficiency value of the j-th electric vehicle charging station, x ij is the i-th input data value of the j-th electric vehicle charging station, s is the number of output data categories, and m is the number of input data categories.

[0087] Further, the constraint condition in the pre-constructed efficiency judgment model is as follows:

[0088]

[0089] λ j ≥ 0, 0 < θ j ≤ 1

[0090] In the above formula, n is the total number of electric vehicle charging stations.

[0091] Preferably, the determination of the effective electric vehicle charging station and the redundant electric vehicle charging station in the to-be-tested electric vehicle charging station based on the efficiency value of the to-be-tested electric vehicle charging station comprises:

[0092] The to-be-tested electric vehicle charging station with the efficiency value equal to 1 is regarded as the effective electric vehicle charging station, and the to-be-tested electric vehicle charging station with the efficiency value less than 1 is regarded as the invalid electric vehicle charging station.

[0093] Preferably, the objective function in the pre-constructed super-efficiency model is as follows:

[0094] min θ j

[0095] The constraint condition in the pre-constructed super-efficiency model is as follows:

[0096]

[0097] In the above formula, λ j is the linear combination number of the jth electric vehicle charging station, y rj is the rth output data value of the jth electric vehicle charging station, θ j is the efficiency value of the jth electric vehicle charging station, x ij is the ith input data value of the jth electric vehicle charging station, n is the total number of electric vehicle charging stations, x ik is the ith input data value of the kth electric vehicle charging station, y rk is the rth output data value of the kth electric vehicle charging station.

[0098] Preferably, after the determination of the effective electric vehicle charging station and the redundant electric vehicle charging station in the to-be-tested electric vehicle charging station based on the efficiency value of the to-be-tested electric vehicle charging station, the method further comprises:

[0099] The optimization scheme is configured to optimize the efficiency of the redundant electric vehicle charging station until the redundant electric vehicle charging station is converted into the effective electric vehicle charging station.

[0100] The optimization scheme comprises: reducing the construction investment, personnel configuration, equipment quantity and / or total power configuration proportion of the redundant electric vehicle charging station.

[0101] Embodiment 3

[0102] Based on the same inventive concept, the present application further provides a computer device, which comprises a processor and a memory, the memory is used to store a computer program, the computer program comprises program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, and are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions in the computer storage medium to implement a corresponding method flow or a corresponding function, so as to implement the steps of the electric vehicle charging station operation efficiency calculation method in the above embodiment.

[0103] Embodiment 4

[0104] Based on the same inventive concept, the present application further provides a storage medium, specifically a computer readable storage medium (Memory), which is a memory device in the computer device, and is used to store programs and data. It can be understood that the computer readable storage medium here can include the built-in storage medium in the computer device, and of course can also include the expansion storage medium supported by the computer device. The computer readable storage medium provides a storage space, and the storage space stores the operating system of the terminal. Moreover, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and the instructions can be one or more computer programs (including program codes). It should be noted that the computer readable storage medium here can be a high-speed RAM memory, or a non-volatile memory such as at least one disk memory. One or more instructions stored in the computer readable storage medium can be loaded and executed by the processor to implement the steps of the electric vehicle charging station operation efficiency calculation method in the above embodiment.

[0105] Those skilled in the art will appreciate that embodiments of the application can be devised for a method, a system, or a computer program product. Accordingly, the present application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0106] The present application is described in reference to the flowchart and / or block diagrams of the method, apparatus (system) and computer program product according to embodiments of the application. It will be understood that each block of the flowchart and / or block diagrams, and combinations of blocks in the flowchart and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0107] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the function specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0108] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks. Figure 1 one or more functions specified in the flowchart and / or block diagram block or blocks.

[0109] Finally, it should be noted that the above-mentioned embodiments are merely intended for describing the technical solutions of the present application, but not for limiting it. Although the present application is described in detail with reference to the above embodiments, those skilled in the field should understand that the specific embodiments of the present application can be modified or replaced equivalently without departing from the spirit and scope of the present application, and any modification or equivalent replacement without departing from the spirit and scope of the present application should be covered in the protection scope of the claims of the present application.

Claims

1. A method for calculating the operating efficiency of an electric vehicle charging station, characterized in that, The method includes: The standard values ​​of input and output data of the electric vehicle charging station to be tested are substituted into the pre-built efficiency judgment model and solved to obtain the efficiency value of the electric vehicle charging station to be tested. Based on the efficiency value of the electric vehicle charging station to be tested, determine the effective electric vehicle charging station and the redundant electric vehicle charging station in the electric vehicle charging station to be tested; The input and output standard values ​​of the effective electric vehicle charging station are substituted into the pre-constructed super-efficiency model and solved to obtain the efficiency calculation results of the effective electric vehicle charging station.

2. The method as described in claim 1, characterized in that, The input data includes at least one of the following: construction cost, operating personnel cost, number of charging piles and total charging power; the output data includes at least one of the following: net profit per kilowatt, time utilization rate and power utilization rate.

3. The method as described in claim 1, characterized in that, For the positive data in the input and output data, standardization is performed according to the following formula: For the inverse data in the input and output data, standardization is performed according to the following formula: In the above formula, z ij Let s be the standard value of the i-th input or output data for the j-th electric vehicle charging station. ij For the i-th input or output data of the j-th electric vehicle charging station Let i be the minimum input or output data of the j-th electric vehicle charging station. This represents the maximum value of the input or output data for the i-th electric vehicle charging station of the j-th type.

4. The method as described in claim 1, characterized in that, The objective function in the pre-built efficiency judgment model is as follows: In the above formula, λ j Let y be the linear combination number of the j-th electric vehicle charging station. rj Let θ be the r-th type of output data value for the j-th electric vehicle charging station. j Let x be the efficiency value of the j-th electric vehicle charging station. ij Let s be the input data value of type i for the j-th electric vehicle charging station, s be the number of output data types, and m be the number of input data types.

5. The method as described in claim 4, characterized in that, The constraints in the pre-built efficiency judgment model are as follows: l j ≥0.0<θ j ≤1 In the above formula, n represents the total number of electric vehicle charging stations.

6. The method as described in claim 1, characterized in that, The process of determining the effective and redundant electric vehicle charging stations among the electric vehicle charging stations to be tested based on the efficiency value of the electric vehicle charging stations to be tested includes: Electric vehicle charging stations with an efficiency value of 1 are considered valid electric vehicle charging stations, while those with an efficiency value less than 1 are considered invalid electric vehicle charging stations.

7. The method as described in claim 1, characterized in that, The objective function in the pre-built hyperefficiency model is as follows: minθ j The constraints in the pre-built super-efficiency model are as follows: In the above formula, λ j Let y be the linear combination number of the j-th electric vehicle charging station. rj Let θ be the r-th type of output data value for the j-th electric vehicle charging station. j Let x be the efficiency value of the j-th electric vehicle charging station. ij Let x be the input data value for the i-th type of the j-th electric vehicle charging station, n be the total number of electric vehicle charging stations, and x be the input data value for the j-th type of the charging station. ik For the i-th type of input data value of the k-th electric vehicle charging station, y rk This represents the r-th type of output data value for the k-th electric vehicle charging station.

8. The method as described in claim 1, characterized in that, After determining the effective and redundant electric vehicle charging stations among the electric vehicle charging stations to be tested based on the efficiency value of the electric vehicle charging stations to be tested, the process includes: The configuration optimization scheme optimizes the efficiency of redundant electric vehicle charging stations until the redundant electric vehicle charging station is converted into a valid electric vehicle charging station. The optimization scheme includes: reducing the investment in the construction of redundant electric vehicle charging stations, personnel allocation, number of equipment and / or the proportion of total power configuration.

9. A device for calculating the operating efficiency of an electric vehicle charging station according to any one of claims 1-8, characterized in that, The device includes: The first analysis module is used to substitute the standard values ​​of input data and output data of the electric vehicle charging station to be tested into the pre-built efficiency judgment model and solve it to obtain the efficiency value of the electric vehicle charging station to be tested. The judgment module is used to determine the effective electric vehicle charging stations and redundant electric vehicle charging stations among the electric vehicle charging stations to be tested based on the efficiency value of the electric vehicle charging stations to be tested. The second analysis module is used to substitute the standard values ​​of input data and output data of the effective electric vehicle charging station into the pre-built super-efficiency model and solve it to obtain the efficiency calculation results of the effective electric vehicle charging station.

10. A computer device, characterized in that, include: One or more processors; The processor is used to execute one or more programs; When the one or more programs are executed by the one or more processors, the method for calculating the operating efficiency of electric vehicle charging stations as described in any one of claims 1 to 8 is implemented.

11. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the method for calculating the operating efficiency of electric vehicle charging stations as described in any one of claims 1 to 8.

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