Charging facility construction benefit evaluation method and system

Abstract

The invention discloses a charging facility construction benefit evaluation method and system, and relates to the technical field of charging facility data processing. The charging facility construction benefit evaluation method comprises the following steps: collecting and preprocessing related parameters of charging piles in an expressway service area, surrounding environment data of the expressway service area and related data of electric vehicles; and analyzing and evaluating the related parameters of the charging piles in the expressway service area, the surrounding environment data of the expressway service area and the related data of the electric vehicles, comparing the construction income evaluation coefficient of the expressway service area with a construction income evaluation threshold value of the expressway service area, and optimizing the distribution of the charging piles in the expressway service area. According to the method, the decision variable and the target function are set, and the integer programming solver is used for solving the target function, so that the distribution of the expressway service area is evaluated according to the solving result, the effect of load balancing between the charging piles is achieved, and the problem that load balancing cannot be achieved between the charging piles in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of charging facility data processing, and in particular to a charging facility construction benefit evaluation method and system. Background Art

[0002] With the global energy transformation and the increasing awareness of environmental protection, new energy vehicles, especially electric vehicles, are developing rapidly. In order to support this trend, the construction of charging facilities has become crucial. The charging facilities in highway service areas not only need to meet the demand in terms of quantity, but also need to be comprehensively considered in terms of quality, convenience, and technological advancement. Therefore, evaluating the benefits of charging facility construction has become the key to promoting the healthy development of the electric vehicle industry.

[0003] For example, a patent application with publication number CN116401860A discloses a method for evaluating the benefits of a fast charging strategy for a pure electric vehicle, including: obtaining electric vehicle charging data, extracting and cleaning the electric vehicle charging data to obtain fast charging feature data; the charging data includes vehicle type and charging segment; obtaining a fast charging strategy based on the fast charging feature data and a fast charging strategy model; and evaluating the benefits of a fast charging strategy based on the fast charging strategy.

[0004] For example, the invention patent announcement with announcement number: CN103632045B discloses a calculation method for evaluating the ideality of power generation dispatching in a provincial power grid, including: based on the concept of ideal dispatching, proposing actual boundary conditions based on power grid operation, and from the perspective of post-evaluation, through re-dispatching simulation, evaluating the ideality of power generation dispatching in the provincial power grid with the goals of minimizing operating costs and minimizing coal consumption, providing an effective analysis tool for evaluating the operating efficiency of the provincial power grid.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems: In the prior art, data of electric vehicles is collected in highway service areas, and the output power of the charging pile required for charging the electric vehicle is evaluated based on the charging power and mileage of the electric vehicle. When the output power of the charging pile is adjusted to correspond one-to-one with the charging power of the electric vehicle, there is a problem that load balancing cannot be achieved between the charging piles. Summary of the invention

[0006] The embodiment of the present application solves the problem in the prior art that load balancing cannot be achieved between charging piles by providing a method and system for evaluating the benefits of charging facility construction, thereby achieving the effect of load balancing between charging piles.

[0007] The embodiment of the present application provides a charging facility construction benefit evaluation method, comprising the following steps: collecting relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas, and relevant data of electric vehicles, and pre-processing the relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas, and relevant data of electric vehicles; analyzing the relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas, and relevant data of electric vehicles, and evaluating the performance of charging piles in highway service areas, the environment of highway service areas, and charging conditions of electric vehicles; comparing the highway service area construction benefit evaluation coefficient with the highway service area construction benefit evaluation threshold, and optimizing the allocation of charging piles in highway service areas.

[0008] Furthermore, the specific collection process of collecting relevant parameters of charging piles in highway service areas, environmental data around highway service areas and relevant data of electric vehicles is as follows: relevant parameters of charging piles in highway service areas include the number of charging piles in highway service areas, the frequency of use of charging piles in highway service areas and the maximum output power of charging piles in highway service areas; environmental data around highway service areas include traffic flow around highway service areas, the occupancy rate of new energy vehicles around highway service areas and the area of ​​highway service areas; relevant data of electric vehicles include battery capacity, charging power and mileage of electric vehicles; relevant parameters of charging piles in highway service areas and environmental data around highway service areas are obtained through sensors; electric vehicles are identified through the license plate recognition system at the gate, and relevant data of electric vehicles are obtained from the database through the license plate.

[0009] Furthermore, the specific preprocessing process of preprocessing the relevant parameters of the charging piles in the highway service area, the surrounding environment data of the highway service area and the relevant data of the electric vehicle is as follows: the preprocessing is used to identify and correct the erroneous or incomplete data values, and the normalization method is used to process the data of different dimensions, the quality of the preprocessed data is checked, and the preprocessed data is evaluated by statistical test methods.

[0010] Furthermore, the specific analysis process of analyzing the relevant parameters of the highway service area charging piles, the surrounding environment data of the highway service area and the relevant data of electric vehicles is as follows: the relevant parameters of the highway service area charging piles, the surrounding environment data of the highway service area and the relevant data of electric vehicles are directly obtained through the database, and a highway service area charging pile environmental suitability mapping set and a highway service area charging pile and electric vehicle adaptability mapping set are established. The above two mapping sets are mapped in real time to obtain the environmental correction factors of the highway service area charging piles and the highway service area charging pile and electric vehicle adaptability correction factors.

[0011] Furthermore, the specific evaluation process for evaluating the performance of charging piles in highway service areas, the environment of highway service areas and the charging conditions of electric vehicles is as follows: evaluate the performance of charging piles in highway service areas to obtain the evaluation coefficients of charging piles in highway service areas, evaluate the charging conditions of electric vehicles to obtain the electric vehicle charging evaluation coefficients, conduct a comprehensive evaluation of the evaluation coefficients of charging piles in highway service areas and the electric vehicle charging evaluation coefficients to obtain the evaluation coefficients of highway service area construction benefits.

[0012] Furthermore, the specific comparison process of comparing the highway service area construction benefit assessment coefficient with the highway service area construction benefit assessment threshold is as follows: directly obtain the highway service area construction benefit assessment threshold from the database, compare the highway service area construction benefit assessment coefficient with the highway service area construction benefit assessment threshold, when the highway service area construction benefit assessment coefficient is not higher than the highway service area construction benefit assessment threshold, it is judged that the highway service area construction is in an abnormal state, and when the highway service area construction benefit assessment coefficient is higher than the highway service area construction benefit assessment threshold, it is judged that the highway service area construction is in a normal state.

[0013] Furthermore, the specific optimization process for optimizing the distribution of charging piles in highway service areas is as follows: when it is judged that the construction of the highway service area is in an abnormal state, the distribution of the highway service area is adjusted using a pure integer linear programming method; when it is judged that the construction of the highway service area is in a normal state, the highway service area is continuously monitored.

[0014] Furthermore, the specific adjustment process of adjusting the distribution of highway service areas using the pure integer linear programming method is as follows: setting the number of charging piles in each highway service area as the decision variable, setting the distribution of balanced charging piles as the objective function, using an integer programming solver to solve the objective function, and evaluating the distribution of highway service areas based on the solution results.

[0015] Furthermore, the specific constraint formula for the highway service area construction benefit evaluation coefficient is: ; In the formula, It represents the highway service area construction benefit evaluation coefficient, which is used to evaluate the impact of charging piles in highway service areas and the charging power of electric vehicles. represents the evaluation coefficient of charging piles in highway service areas, represents the electric vehicle charging assessment coefficient, represents the environmental correction factor of the charging piles in the highway service area, It represents the compatibility correction factor between charging piles in highway service areas and electric vehicles.

[0016] The embodiment of the present application provides a charging facility construction benefit evaluation system, which includes a data collection and preprocessing module, a data analysis and evaluation module and an optimization module: the data collection and preprocessing module is used to collect relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas and relevant data of electric vehicles, and preprocess the relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas and relevant data of electric vehicles; the data analysis and evaluation module is used to analyze the relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas and relevant data of electric vehicles, and evaluate the performance of charging piles in highway service areas, the environment of highway service areas and the charging status of electric vehicles; the optimization module is used to compare the highway service area construction benefit evaluation coefficient with the highway service area construction benefit evaluation threshold, and optimize the allocation of charging piles in highway service areas.

[0017] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: 1. By setting the number of charging piles in each highway service area as the decision variable, setting the distribution of balanced charging piles as the objective function, and using the integer programming solver to solve the objective function, the distribution of highway service areas is evaluated according to the solution results, thereby achieving the effect of load balancing between charging piles, and effectively solving the problem of the inability to achieve load balancing between charging piles in the existing technology.

[0018] 2. By collecting relevant parameters of charging piles in highway service areas, environmental data around highway service areas and relevant data of electric vehicles, the relevant parameters of charging piles in highway service areas, environmental data around highway service areas and relevant data of electric vehicles are pre-processed, thereby improving the accuracy of the data.

[0019] 3. By analyzing the relevant parameters of the charging piles in the highway service area, the surrounding environment data of the highway service area and the relevant data of electric vehicles, the performance of the charging piles in the highway service area, the environment of the highway service area and the charging status of electric vehicles are evaluated, thereby improving the environmental applicability of the highway service area. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A flow chart of a charging facility construction benefit evaluation method provided in an embodiment of the present application; Figure 2 An image of an electric vehicle charging assessment coefficient in a charging facility construction benefit assessment method provided in an embodiment of the present application; Figure 3 A schematic diagram of the structure of a charging facility construction benefit evaluation system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] The embodiment of the present application solves the problem in the prior art that load balancing cannot be achieved between charging piles by providing a method and system for evaluating the benefits of charging facility construction. The number of charging piles in each highway service area is set as a decision variable, the distribution of balanced charging piles is set as the objective function, and an integer programming solver is used to solve the objective function. The distribution of highway service areas is evaluated according to the solution results, thereby achieving the effect of load balancing between charging piles.

[0022] The technical solution in the embodiment of the present application is to solve the above-mentioned problem that load balancing cannot be achieved between charging piles. The overall idea is as follows: By comparing the highway service area construction benefit assessment coefficient with the highway service area construction benefit assessment threshold, when the highway service area construction benefit assessment coefficient is not higher than the highway service area construction benefit assessment threshold, it is judged that the highway service area construction is in an abnormal state; when the highway service area construction benefit assessment coefficient is higher than the highway service area construction benefit assessment threshold, it is judged that the highway service area construction is in a normal state, thereby achieving the effect of load balancing between charging piles.

[0023] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0024] like Figure 1 As shown, it is a flow chart of a charging facility construction benefit evaluation method provided in an embodiment of the present application, and the method includes the following steps: collecting relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas, and relevant data of electric vehicles, and pre-processing the relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas, and relevant data of electric vehicles; analyzing the relevant parameters of charging piles in highway service areas, surrounding environmental data of highway service areas, and relevant data of electric vehicles, and evaluating the performance of charging piles in highway service areas, the environment of highway service areas, and charging conditions of electric vehicles; comparing the highway service area construction benefit evaluation coefficient with the highway service area construction benefit evaluation threshold, and optimizing the allocation of charging piles in highway service areas.

[0025] Furthermore, the specific collection process of collecting relevant parameters of charging piles in highway service areas, environmental data around highway service areas and relevant data of electric vehicles is as follows: relevant parameters of charging piles in highway service areas include the number of charging piles in highway service areas, the frequency of use of charging piles in highway service areas and the maximum output power of charging piles in highway service areas; environmental data around highway service areas include traffic flow around highway service areas, the occupancy rate of new energy vehicles around highway service areas and the area of ​​highway service areas; relevant data of electric vehicles include battery capacity, charging power and mileage of electric vehicles; relevant parameters of charging piles in highway service areas and environmental data around highway service areas are obtained through sensors; electric vehicles are identified through the license plate recognition system at the gate, and relevant data of electric vehicles are obtained from the database through the license plate.

[0026] In this embodiment, the number, usage frequency and maximum output power of charging piles in the highway service area are obtained through sensors; the electric vehicle is identified through the license plate recognition system at the gate, and the battery capacity, charging power and mileage of the electric vehicle are obtained from the database through the license plate; the traffic flow around the highway service area, the occupancy rate of new energy vehicles and the area of ​​the service area are obtained through sensors, and according to the charging demand and the usage of the charging piles, more convenient and efficient charging services can be provided to users, thereby improving the user experience.

[0027] Furthermore, the specific preprocessing process of preprocessing the relevant parameters of the charging piles in the highway service area, the surrounding environment data of the highway service area and the relevant data of the electric vehicle is as follows: the preprocessing is used to identify and correct the erroneous or incomplete data values, and the normalization method is used to process the data of different dimensions, the quality of the preprocessed data is checked, and the preprocessed data is evaluated by statistical test methods.

[0028] In this embodiment, errors or omissions in the original data are identified through data verification and cross-validation. For example, it is checked whether the data such as the operating time and service times of the charging pile are reasonable, the unit of charging power is converted from kilowatt (kW) to megawatt (MW), the maximum and minimum standardization method is used to process the data, and Shapiro-Wilk is used to check whether the data conforms to the normal distribution. By eliminating the scale differences between data of different dimensions, each indicator has equal weight in the evaluation.

[0029] Furthermore, the specific analysis process of analyzing the relevant parameters of the highway service area charging piles, the surrounding environment data of the highway service area and the relevant data of electric vehicles is as follows: the relevant parameters of the highway service area charging piles, the surrounding environment data of the highway service area and the relevant data of electric vehicles are directly obtained through the database, and a highway service area charging pile environmental suitability mapping set and a highway service area charging pile and electric vehicle adaptability mapping set are established. The above two mapping sets are mapped in real time to obtain the environmental correction factors of the highway service area charging piles and the highway service area charging pile and electric vehicle adaptability correction factors.

[0030] In this embodiment, relevant historical parameters of the highway service area charging piles and historical data of the surrounding environment of the highway service area are directly obtained through the database, and an environmental suitability mapping set of the highway service area charging piles is established according to the relevant historical parameters of the highway service area charging piles and the historical data of the surrounding environment of the highway service area. The environmental correction factor of the highway service area charging pile is obtained by real-time mapping the environmental suitability mapping set of the highway service area charging piles; relevant historical parameters of the highway service area charging piles and historical data related to electric vehicles are directly obtained through the database, and an adaptability mapping set of the highway service area charging piles and electric vehicles is established according to the relevant historical parameters of the highway service area charging piles and the historical data related to electric vehicles. The adaptability correction factor of the highway service area charging piles and electric vehicles is obtained by real-time mapping the adaptability mapping set of the highway service area charging piles and electric vehicles.

[0031] Furthermore, the specific evaluation process for evaluating the performance of charging piles in highway service areas, the environment of highway service areas and the charging conditions of electric vehicles is as follows: evaluate the performance of charging piles in highway service areas to obtain the evaluation coefficients of charging piles in highway service areas, evaluate the charging conditions of electric vehicles to obtain the electric vehicle charging evaluation coefficients, conduct a comprehensive evaluation of the evaluation coefficients of charging piles in highway service areas and the electric vehicle charging evaluation coefficients to obtain the evaluation coefficients of highway service area construction benefits.

[0032] In this embodiment, the evaluation coefficient of the charging pile is calculated by evaluating the performance of the charging pile in the highway service area. This coefficient can reflect the actual service capacity and efficiency of the charging pile. The electric vehicle charging evaluation coefficient is determined based on the charging efficiency and user feedback. This coefficient reflects the adaptability and attractiveness of the charging facilities in the service area to electric vehicle users. The weights of the charging pile evaluation coefficient and the electric vehicle charging evaluation coefficient in the comprehensive evaluation are determined. The scores of the two evaluation coefficients are combined and the highway service area construction benefit evaluation coefficient is calculated by weighted average or other mathematical methods. According to the comprehensive evaluation coefficient, the construction benefits of the charging facilities in the service area are analyzed to provide a basis for future construction and improvement. The layout and number of charging piles can be optimized through evaluation, reducing the time users spend looking for and waiting for charging piles.

[0033] Furthermore, the specific comparison process of comparing the highway service area construction benefit assessment coefficient with the highway service area construction benefit assessment threshold is as follows: directly obtain the highway service area construction benefit assessment threshold from the database, compare the highway service area construction benefit assessment coefficient with the highway service area construction benefit assessment threshold, when the highway service area construction benefit assessment coefficient is not higher than the highway service area construction benefit assessment threshold, it is judged that the highway service area construction is in an abnormal state, and when the highway service area construction benefit assessment coefficient is higher than the highway service area construction benefit assessment threshold, it is judged that the highway service area construction is in a normal state.

[0034] In this embodiment, the highway service area construction benefit assessment threshold is directly obtained from the database, and the calculated assessment coefficient is compared with the assessment threshold. If the assessment coefficient is not higher than the threshold, the service area is judged to be in a normal state; otherwise, it is judged to be in an abnormal state. The assessment is performed through specific data and models, which reduces the influence of subjective factors and makes the assessment result more objective and accurate.

[0035] Furthermore, the specific optimization process for optimizing the distribution of charging piles in highway service areas is as follows: when it is judged that the construction of the highway service area is in an abnormal state, the distribution of the highway service area is adjusted using a pure integer linear programming method; when it is judged that the construction of the highway service area is in a normal state, the highway service area is continuously monitored.

[0036] In this embodiment, for service areas judged to be abnormally constructed, the distribution of service areas is adjusted using a pure integer linear programming method. Integer programming is a mathematical optimization method that can be used to solve problems such as how to select several locations from multiple candidate locations to optimally meet certain constraints. In this scenario, the constraints may include the maximum service capacity of the service area, the maximum number of charging facilities, etc. For service areas judged to be in normal construction, they are continuously monitored to ensure that their operating status meets expectations and to detect possible problems in a timely manner.

[0037] Furthermore, the specific adjustment process of adjusting the distribution of highway service areas using the pure integer linear programming method is as follows: setting the number of charging piles in each highway service area as the decision variable, setting the distribution of balanced charging piles as the objective function, using an integer programming solver to solve the objective function, and evaluating the distribution of highway service areas based on the solution results.

[0038] In this embodiment, first, the number of charging piles in each highway service area is set as a decision variable. The objective function is to balance the distribution of charging piles, which can be set to minimize or maximize a certain indicator. The constraints include the lower and upper limits of the number of charging piles in each service area, as well as the total number limit of charging piles. With the objective function and constraints, an integer programming solver can be used to solve the optimal solution. Based on the solution results, the distribution of charging facilities in the highway service area is evaluated, including calculating the actual coverage rate of the charging facilities in the service area and comparing it with the target coverage rate.

[0039] Furthermore, the specific constraint formula for the highway service area construction benefit evaluation coefficient is: ; In the formula, It represents the highway service area construction benefit evaluation coefficient, which is used to evaluate the impact of charging piles in highway service areas and the charging power of electric vehicles. represents the evaluation coefficient of charging piles in highway service areas, represents the electric vehicle charging assessment coefficient, represents the environmental correction factor of the charging piles in the highway service area, It represents the compatibility correction factor between charging piles in highway service areas and electric vehicles.

[0040] In this embodiment, the specific constraint formula of the evaluation coefficient of the charging pile in the highway service area is: ; In the formula, It represents the evaluation coefficient of charging piles in highway service areas, which is used to evaluate the impact of charging piles in highway service areas on the construction revenue of highway service areas. Several spatial monitoring points are set. A, represents the total number of spatial monitoring points, Indicates The number of charging piles in highway service areas under each spatial monitoring point, Indicates The maximum output power of the charging piles in the highway service area under the spatial monitoring points, Indicates The usage frequency of charging piles in highway service areas under each spatial monitoring point, Expressed as The average value of the total number of charging piles in the highway service area of ​​the spatial monitoring points, Expressed as The average value of the maximum output power of charging piles in highway service areas at spatial monitoring points, Expressed as The average value of the total usage frequency of charging piles in highway service areas at the spatial monitoring points, e represents a natural constant.

[0041] The greater the maximum output power of the charging pile in the highway service area, the faster the electric vehicle will be charged and the higher the frequency of use of the charging pile in the highway service area.

[0042] In a specific embodiment, examples of evaluation coefficient data of charging piles in highway service areas are shown in the following table.

[0043] Table 1 Example of evaluation coefficient data of charging piles in highway service areas

[0044] From the data in Table 1, we can see that The average and sum of the number of charging piles in the highway service area at each spatial monitoring point When the average value of the total usage frequency of charging piles in the highway service area of ​​the spatial monitoring points remains unchanged, The greater the average value of the maximum output power of the charging piles in the highway service area at each spatial monitoring point, the higher the evaluation coefficient of the charging piles in the highway service area. The average value of the sum of the maximum output powers of the charging piles in the highway service area at the spatial monitoring points is positively correlated with the evaluation coefficient of the charging piles in the highway service area.

[0045] The number of charging piles refers to the total number of charging piles installed in highway service areas. The number of charging piles is estimated through market research and statistics of existing charging data. The number of charging piles ranges from 100 to 200.

[0046] The frequency of use of a charging pile refers to the number of times the charging pile is used within a certain period of time. The frequency of use of a charging pile can be obtained by analyzing past service area usage data. The value range of the frequency of use of a charging pile is 5-10 times / day.

[0047] The maximum output power of a charging pile refers to the maximum charging power that the charging pile can provide to an electric vehicle. The maximum output power of a charging pile can be evaluated by conducting simulation tests in a service area to evaluate the actual use of charging piles with different configurations. The maximum output power of a charging pile ranges from 0.1 to 0.2 MW.

[0048] In this embodiment, the specific constraint formula of the electric vehicle charging evaluation coefficient is: ; In the formula, It represents the electric vehicle charging assessment coefficient, which is used to measure the impact of electric vehicle charging on the construction revenue of highway service areas. Several time monitoring points are set. , Represents the total number of time monitoring points, Indicates The battery capacity of the electric vehicle at each time monitoring point, Indicates The mileage of the electric vehicle at each time monitoring point, Indicates The charging power of the electric vehicle at each time monitoring point, Expressed as The average value of the total battery capacity of electric vehicles at the monitoring points in time, Expressed as The average value of the total mileage of electric vehicles at the time monitoring points, Expressed as The average value of the total charging power of electric vehicles at the monitoring points at each time.

[0049] The higher the mileage of an electric vehicle, the more serious the aging of the electric vehicle battery is, and the battery capacity will decrease to a certain extent.

[0050] The battery capacity of an electric vehicle refers to the amount of electrical energy that can be stored in the battery pack of an electric vehicle. The battery capacity of an electric vehicle can be obtained directly from the user manual. The battery capacity of an electric vehicle ranges from 30 to 50 kwh.

[0051] The charging power of an electric vehicle refers to the product of the maximum charging current and the charging voltage that an electric vehicle can withstand during the charging process. The charging power of an electric vehicle can be obtained by measuring the charging current and charging voltage and calculating. The charging power of an electric vehicle is between 30,000 and 50,000 watts.

[0052] The mileage of an electric vehicle refers to the mileage of the current electric vehicle, which can be obtained directly through the dashboard. The mileage of an electric vehicle ranges from 10,000 to 50,000 km.

[0053] Figure 2 An image of an electric vehicle charging evaluation coefficient in a charging facility construction benefit evaluation method provided in an embodiment of the present application, wherein: The average value of the total charging power of electric vehicles at the monitoring points in time is the horizontal axis independent variable of the function, and the function a is in The average value of the total battery capacity of electric vehicles under the monitoring points is 30kwh and The average total mileage of electric vehicles under each time monitoring point is 30,000 watt-hours. The curve of the change of the average value of the total charging power of electric vehicles at the monitoring point at a certain time. The charging evaluation coefficient of electric vehicles changes with The average value of the total charging power of electric vehicles under the time monitoring point increases. The average value of the total battery capacity of the electric vehicle at the monitoring point in time is squared. The average value of the total mileage of electric vehicles at the time monitoring points is calculated to obtain a fixed value of 2.7 as the coefficient of the horizontal axis independent variable of function a, and function b is The average total battery capacity of electric vehicles at each time monitoring point is 40kwh and The average total mileage of electric vehicles under each time monitoring point is 30,000 watt-hours. The curve of the change of the average value of the total charging power of electric vehicles at the monitoring point at a certain time. The charging evaluation coefficient of electric vehicles changes with The average value of the total charging power of electric vehicles under the time monitoring point increases. The average value of the total battery capacity of the electric vehicle at the monitoring point in time is squared. The average value of the total mileage of electric vehicles at the time monitoring points is calculated to obtain a fixed value of 6.4 as the coefficient of the horizontal axis independent variable of function b. Function c is The average total battery capacity of electric vehicles at each time monitoring point is 50kwh and The average total mileage of electric vehicles under each time monitoring point is 30,000 watt-hours. The curve of the change of the average value of the total charging power of electric vehicles at the monitoring point at a certain time. The charging evaluation coefficient of electric vehicles changes with The average value of the total charging power of electric vehicles under the time monitoring point increases. The average value of the total battery capacity of the electric vehicle at the monitoring point in time is squared. The average value of the total mileage of electric vehicles under the time monitoring points is calculated, and the fixed value 12.5 is calculated as the coefficient of the horizontal axis independent variable of function c. Curve a, curve b and curve c represent The function graph when the average value of the total battery capacity of the electric vehicle at the monitoring point is 30kwh, 40kwh and 50kwh. When the average value of the total charging power of electric vehicles at the monitoring points in different time periods is the same, the electric vehicle charging evaluation coefficient of curve c is the largest, followed by curve b, and curve a is the smallest. By observing the changes in the electric vehicle charging evaluation coefficient under different function graphs, the problem of insufficient data accuracy in the existing technology is solved.

[0054] like Figure 3 As shown, it is a structural schematic diagram of a charging facility construction benefit evaluation system provided in an embodiment of the present application. A charging facility construction benefit evaluation system provided in an embodiment of the present application includes: a data collection and preprocessing module, a data analysis and evaluation module, and an optimization module: Data collection and preprocessing module: used to collect relevant parameters of charging piles in highway service areas, surrounding environment data of highway service areas and relevant data of electric vehicles, and preprocess relevant parameters of charging piles in highway service areas, surrounding environment data of highway service areas and relevant data of electric vehicles; Data analysis and evaluation module: used to analyze the relevant parameters of charging piles in highway service areas, the surrounding environment data of highway service areas and related data of electric vehicles, and evaluate the performance of charging piles in highway service areas, the environment of highway service areas and the charging status of electric vehicles; Optimization module: used to compare the highway service area construction benefit assessment coefficient with the highway service area construction benefit assessment threshold, and optimize the allocation of charging piles in highway service areas.

[0055] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0056] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0057] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0058] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0059] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0060] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A charging facility construction benefit evaluation method, characterized in that: The following steps are involved: Collect relevant parameters of charging piles in highway service areas, environmental data around highway service areas, and relevant data of electric vehicles, and pre-process relevant parameters of charging piles in highway service areas, environmental data around highway service areas, and relevant data of electric vehicles; Analyze the relevant parameters of charging piles in highway service areas, the surrounding environment data of highway service areas, and the relevant data of electric vehicles, and evaluate the performance of charging piles in highway service areas, the environment of highway service areas, and the charging status of electric vehicles; The highway service area construction benefit assessment coefficient is compared with the highway service area construction benefit assessment threshold, and the allocation of charging piles in highway service areas is optimized.

2. A charging facility construction benefit evaluation method as claimed in claim 1, characterized in that: The specific process of collecting the relevant parameters of the charging piles in the expressway service area, the surrounding environment data of the expressway service area and the relevant data of the electric vehicle is as follows: The relevant parameters of charging piles in highway service areas include the number of charging piles in highway service areas, the frequency of use of charging piles in highway service areas and the maximum output power of charging piles in highway service areas. The surrounding environmental data of highway service areas include the traffic flow around highway service areas, the occupancy rate of new energy vehicles around highway service areas and the area of ​​highway service areas. The relevant data of electric vehicles include the battery capacity, charging power and mileage of electric vehicles. The relevant parameters of charging piles in highway service areas and the surrounding environmental data of highway service areas are obtained through sensors. The electric vehicles are identified through the license plate recognition system at the gate, and the relevant data of electric vehicles are obtained from the database through the license plate.

3. A charging facility construction benefit evaluation method as claimed in claim 1, characterized in that: The specific preprocessing process of preprocessing the relevant parameters of the charging piles in the highway service area, the surrounding environment data of the highway service area and the relevant data of the electric vehicle is as follows: Preprocessing is used to identify and correct erroneous or incomplete data values, and to use normalization methods to process data of different dimensions, to perform quality checks on preprocessed data, and to evaluate preprocessed data through statistical test methods.

4. A charging facility construction benefit evaluation method as claimed in claim 1, characterized in that: The specific analysis process of analyzing the relevant parameters of the charging piles in the highway service area, the surrounding environment data of the highway service area and the relevant data of electric vehicles is as follows: The relevant parameters of the highway service area charging piles, the surrounding environment data of the highway service area and the relevant data of electric vehicles are directly obtained from the database, and a highway service area charging pile environmental suitability mapping set and a highway service area charging pile and electric vehicle adaptability mapping set are established. The above two mapping sets are mapped in real time to obtain the environmental correction factors of the highway service area charging piles and the highway service area charging pile and electric vehicle adaptability correction factors.

5. A charging facility construction benefit evaluation method as claimed in claim 1, characterized in that: The specific evaluation process of evaluating the performance of charging piles in highway service areas, the environment of highway service areas, and the charging status of electric vehicles is as follows: The performance of charging piles in highway service areas is evaluated to obtain the evaluation coefficient of charging piles in highway service areas. The charging status of electric vehicles is evaluated to obtain the electric vehicle charging evaluation coefficient. The evaluation coefficient of charging piles in highway service areas and the electric vehicle charging evaluation coefficient are comprehensively evaluated to obtain the evaluation coefficient of highway service area construction benefits.

6. A charging facility construction benefit evaluation method as claimed in claim 1, characterized in that: The specific comparison process of comparing the highway service area construction benefit evaluation coefficient with the highway service area construction benefit evaluation threshold is as follows: The highway service area construction benefit assessment threshold is directly obtained from the database, and the highway service area construction benefit assessment coefficient is compared with the highway service area construction benefit assessment threshold. When the highway service area construction benefit assessment coefficient is not higher than the highway service area construction benefit assessment threshold, it is judged that the highway service area construction is in an abnormal state; when the highway service area construction benefit assessment coefficient is higher than the highway service area construction benefit assessment threshold, it is judged that the highway service area construction is in a normal state.

7. A charging facility construction benefit evaluation method as claimed in claim 1, characterized in that: The specific optimization process of optimizing the allocation of charging piles in the highway service area is as follows: When it is determined that the construction of a highway service area is in an abnormal state, the distribution of the highway service area is adjusted using a pure integer linear programming method. When it is determined that the construction of a highway service area is in a normal state, the highway service area is continuously monitored.

8. A charging facility construction benefit evaluation method as claimed in claim 7, characterized in that: The specific adjustment process of using the pure integer linear programming method to adjust the distribution of highway service areas is as follows: The number of charging piles in each highway service area is set as the decision variable, and the distribution of balanced charging piles is set as the objective function. The objective function is solved using an integer programming solver, and the distribution of highway service areas is evaluated based on the solution results.

9. A charging facility construction benefit evaluation method as claimed in claim 5, characterized in that: The specific constraint formula of the highway service area construction benefit evaluation coefficient is: ； In the formula, It represents the highway service area construction benefit evaluation coefficient, which is used to evaluate the impact of charging piles in highway service areas and the charging power of electric vehicles. represents the evaluation coefficient of charging piles in highway service areas, represents the electric vehicle charging assessment coefficient, represents the environmental correction factor of the charging piles in the highway service area, It represents the compatibility correction factor between charging piles in highway service areas and electric vehicles.

10. A charging facility construction benefit evaluation system, characterized in that: It includes data collection and preprocessing module, data analysis and evaluation module and optimization module: Data collection and preprocessing module: used to collect relevant parameters of charging piles in highway service areas, surrounding environment data of highway service areas and relevant data of electric vehicles, and preprocess relevant parameters of charging piles in highway service areas, surrounding environment data of highway service areas and relevant data of electric vehicles; Data analysis and evaluation module: used to analyze the relevant parameters of charging piles in highway service areas, the surrounding environment data of highway service areas and related data of electric vehicles, and evaluate the performance of charging piles in highway service areas, the environment of highway service areas and the charging status of electric vehicles; Optimization module: used to compare the highway service area construction benefit assessment coefficient with the highway service area construction benefit assessment threshold, and optimize the allocation of charging piles in highway service areas.

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