High-speed service area charging pile layout method, device, equipment, storage medium and program product

Abstract

The application discloses a charging pile arrangement method and device for a high-speed service area, equipment, a storage medium and a program product, relates to the technical field of charging pile planning, and the charging pile arrangement method for the high-speed service area comprises the following steps: acquiring vehicle flow time sequence data and charging pile data of the high-speed service area; determining charging pile load parameters, vehicle flow waiting time parameters and power grid load parameters of the high-speed service area under different time periods based on preset charging parameters of vehicle charging, the vehicle flow time sequence data and the charging pile data; determining charging pile arrangement adjustment parameters of the high-speed service area according to the power grid load parameters, the charging pile load parameters and the vehicle flow waiting time parameters; and adjusting the charging pile data according to the charging pile arrangement adjustment parameters and the number of charging piles to be arranged, so as to obtain the number of charging piles to be arranged. The cost and user experience are considered, and the charging demand problem of new energy vehicles during long-distance driving can be improved to a certain extent.

Description

Technical Field

[0001] This application relates to the field of charging pile planning technology, and in particular to charging pile deployment methods, devices, equipment, storage media and program products in highway service areas. Background Technology

[0002] With the increasing severity of climate change, energy shortages, and environmental pollution, especially air pollution caused by vehicle emissions, which has become a major challenge for environmental governance, new energy vehicles are gaining a larger market share, and research and investment in electric vehicles are increasing worldwide.

[0003] As more and more users choose electric vehicles as their mode of transportation, the limited range and charging time of electric vehicles make the charging needs during long-distance travel particularly prominent. Especially on highways, factors such as charging difficulties, range anxiety for drivers, and difficulty in dealing with traffic congestion make it difficult to simultaneously balance the experience of drivers and passengers and costs when deploying charging stations on highways. Summary of the Invention

[0004] The main purpose of this application is to provide a method, device, equipment, storage medium and program product for deploying charging piles in highway service areas, aiming to solve the technical problem that it is difficult to simultaneously consider the experience of drivers and passengers and the cost when deploying charging piles on highways.

[0005] To achieve the above objectives, this application proposes a method for deploying charging piles in highway service areas, the method comprising:

[0006] Acquire traffic flow time-series data and charging pile data from highway service areas;

[0007] Based on the preset charging parameters for vehicle charging, the traffic flow time sequence data, and the charging pile data, the charging pile load parameters, traffic flow waiting time parameters, and power grid load parameters of the highway service area are determined for different time periods.

[0008] The charging pile deployment adjustment parameters of the highway service area are determined based on the power grid load parameters, the charging pile load parameters, and the traffic flow waiting time parameters.

[0009] The charging pile data is adjusted according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed, so as to obtain the number of charging piles to be deployed.

[0010] In some implementations, the step of determining the charging pile load parameters, traffic waiting time parameters, and power grid load parameters of the highway service area under different time periods based on preset charging parameters for vehicle charging, traffic flow time sequence data, and charging pile data includes:

[0011] Obtain the preset charging parameters for vehicle charging;

[0012] The charging waiting time for the vehicle is determined based on the charging pile data and the preset charging parameters.

[0013] Based on the charging waiting time, the traffic flow time sequence data, and the charging pile data, the charging pile load parameters for different time periods are determined;

[0014] Based on the charging pile load parameters, the vehicle waiting time parameters for different time periods are determined.

[0015] The grid load parameters for different time periods are determined based on the traffic flow waiting time parameters and the charging pile load parameters.

[0016] In some implementations, the step of determining the charging pile load parameters for different time periods based on the charging waiting time and the traffic flow time sequence data includes:

[0017] Based on the charging waiting time and the traffic flow time-series data, time-series data alignment is performed to obtain a three-dimensional charging dataset;

[0018] Based on the charging 3D dataset, time-axis interpolation is performed on the charging piles to obtain the occupancy status of the charging piles in the highway service area.

[0019] Based on the occupancy status of the charging piles, the load parameters of the charging piles in different time periods are determined.

[0020] In some embodiments, the step of determining the charging pile deployment adjustment parameters of the highway service area based on the power grid load parameters, the charging pile load parameters, and the traffic flow waiting time parameters includes:

[0021] A power grid load curve is constructed based on the power grid load parameters, and the peak and valley values ​​of the power grid load and the power grid load assessment value in the power grid load curve are recorded.

[0022] A charging pile load curve is constructed based on the charging pile load parameters, and the peak and valley values ​​of the charging pile load and the charging pile load evaluation value in the charging pile load curve are recorded.

[0023] Based on the traffic flow waiting time parameters, a traffic flow waiting time curve is constructed, and the traffic flow waiting time evaluation value in the traffic flow waiting time curve is recorded;

[0024] The charging pile deployment adjustment parameters for the highway service area are determined based on the peak and valley values ​​of the power grid load, the power grid load assessment value, the peak and valley values ​​of the charging pile load, the peak and valley values ​​of the traffic waiting time, and the traffic waiting time assessment value.

[0025] In some implementations, the number of charging piles to be deployed includes a first number of charging piles to be deployed and a second number of charging piles to be deployed.

[0026] The step of adjusting the charging pile data according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed to obtain the number of charging piles to be deployed includes:

[0027] The number of charging piles to be deployed is obtained from the charging pile data;

[0028] The number of charging piles to be deployed is adjusted based on the charging pile deployment adjustment parameters to obtain the first number of charging piles to be deployed.

[0029] The number of the first number of charging piles to be deployed is adjusted based on the service area weight of the highway service area to obtain the number of the second number of charging piles to be deployed.

[0030] In some implementations, the step of adjusting the first number of charging piles to be deployed based on the service area weight of the highway service area to obtain the second number of charging piles to be deployed includes:

[0031] Construct service area groups based on adjacent highway service areas in the road model;

[0032] The density of charging piles to be deployed in the service area group is determined based on the number of the first set of charging piles to be deployed.

[0033] Obtain the service area weights of each highway service area in the road model;

[0034] The number of first charging piles to be deployed in the service area group is adjusted according to the service area weight and the density of the charging piles to be deployed, so as to obtain the number of second charging piles to be deployed.

[0035] Furthermore, to achieve the above objectives, this application also proposes a charging pile deployment device for highway service areas, the charging pile deployment device for highway service areas comprising:

[0036] The data acquisition module is used to acquire traffic flow time-series data and charging pile data from highway service areas;

[0037] The parameter determination module is used to determine the charging pile load parameters, traffic waiting time parameters, and power grid load parameters of the highway service area under different time periods based on the preset charging parameters of vehicle charging, the traffic flow time sequence data, and the charging pile data.

[0038] The deployment adjustment module is used to determine the deployment adjustment parameters of the charging piles in the highway service area based on the power grid load parameters, the charging pile load parameters, and the traffic flow waiting time parameters.

[0039] The charging pile deployment module is used to adjust the charging pile data according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed, so as to obtain the number of charging piles to be deployed.

[0040] In addition, to achieve the above objectives, this application also proposes a charging pile deployment device for highway service areas, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the charging pile deployment method for highway service areas as described above.

[0041] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the charging pile deployment method in the high-speed service area as described above.

[0042] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the charging pile deployment method for high-speed service areas as described above.

[0043] One or more technical solutions proposed in this application have at least the following technical effects:

[0044] This application obtains traffic flow time-series data and charging pile data from highway service areas; based on preset charging parameters for vehicle charging, traffic flow time-series data, and charging pile data, it determines the charging pile load parameters, traffic waiting time parameters, and power grid load parameters of highway service areas at different time periods; based on the power grid load parameters, charging pile load parameters, and traffic waiting time parameters, it determines the charging pile deployment adjustment parameters for highway service areas; and based on the charging pile deployment adjustment parameters and the number of charging piles to be deployed, it adjusts the charging pile data to obtain the number of charging piles to be deployed. Because it plans the deployment of charging piles in highway service areas by comprehensively considering the charging pile load parameters, traffic waiting time parameters, and power grid load parameters at different time periods, using periodic traffic flow time-series data, it achieves a balance between cost and user experience, and can improve the charging demand of new energy vehicles during long-distance travel to a certain extent. Attached Figure Description

[0045] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0046] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 A flowchart illustrating the method for deploying charging piles in highway service areas according to this application (Example 1).

[0048] Figure 2 A flowchart illustrating Embodiment 2 of the charging pile deployment method in highway service areas of this application;

[0049] Figure 3 A flowchart illustrating Embodiment 3 of the charging pile deployment method in highway service areas of this application;

[0050] Figure 4 This is a schematic diagram of the modular structure of the charging pile deployment device in the highway service area according to an embodiment of this application;

[0051] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the charging pile deployment method in the high-speed service area in this application embodiment.

[0052] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0053] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0054] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0055] The main solution of this application embodiment is as follows: acquiring traffic flow time-series data and charging pile data of highway service areas; determining charging pile load parameters, traffic flow waiting time parameters, and power grid load parameters of highway service areas under different time periods based on preset charging parameters for vehicle charging, traffic flow time-series data, and charging pile data; determining charging pile deployment adjustment parameters of highway service areas based on power grid load parameters, charging pile load parameters, and traffic flow waiting time parameters; and adjusting the charging pile data according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed to obtain the number of charging piles to be deployed.

[0056] By analyzing the number of charging piles to be deployed in highway service areas based on traffic flow time-series data and charging pile data, the number of charging piles to be deployed can meet the user's needs and reduce deployment costs.

[0057] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a computer or server, or an electronic device or virtual device capable of performing the above functions. The following description uses a charging pile deployment device in a highway service area (hereinafter referred to as the deployment device) as an example to illustrate this embodiment and the subsequent embodiments.

[0058] Based on this, this application provides a method for deploying charging piles in highway service areas, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the charging pile deployment method in the highway service area of ​​this application.

[0059] In this embodiment, the method for deploying charging piles in the highway service area includes steps S10 to S40:

[0060] Step S10: Obtain traffic flow time sequence data and charging pile data from the highway service area.

[0061] It is understood that highway service areas are set up along highways to provide charging, rest, and refueling services for drivers and vehicles. The aforementioned traffic flow time-series data refers to the traffic flow information of electric vehicles recorded in chronological order. The aforementioned charging pile data refers to the data on charging piles to be deployed, which may include the number of charging piles to be deployed, the power of the charging piles to be deployed, etc., which are not limited in this application embodiment. For ease of explanation, this application embodiment and the following embodiments use the example of all charging piles having the same power to be deployed to illustrate the scheme of this application embodiment.

[0062] In some embodiments of this application, the aforementioned traffic flow time-series data can be a data set with an annual collection period and daily time intervals. This traffic flow time-series data can be used to determine the periodic variation characteristics of traffic flow and traffic flow data for different time periods.

[0063] It should be noted that highway traffic flow exhibits cyclical characteristics, with a significant increase in vehicles during holidays compared to normal times. Therefore, deploying charging stations in highway service areas based on normal traffic flow patterns leads to longer waiting times during holidays, reducing the driving experience. Conversely, deploying based on holiday traffic flow patterns results in a larger number of idle charging stations during normal times, increasing deployment costs. Based on this, this application's embodiment plans charging station deployment based on the temporal characteristics of highway service area traffic flow and charging station data. This allows for adjustments to the number of charging stations to be deployed in highway service areas, ensuring that the charging station deployment on highways better reflects the actual travel patterns of drivers and passengers, reducing deployment costs while also improving the driving experience.

[0064] In some embodiments of this application, the number of charging piles to be deployed can be preset based on the actual operation of the high-speed server. The traffic flow time-series data can reflect the dynamic changes in the number of electric vehicles on the high-speed server, and can be obtained based on front-end equipment (such as cameras and geomagnetic vehicle detectors) in the high-speed service area. This application does not impose specific restrictions on the acquisition method.

[0065] In the specific implementation table, the deployment device of this application embodiment can acquire traffic flow time sequence data and charging pile data of highway service areas, and carry out charging pile deployment planning based on traffic flow time sequence data and charging pile data, so that the deployment of charging piles on highway sections can simultaneously take into account cost and user experience.

[0066] Step S20: Based on the preset charging parameters for vehicle charging, the traffic flow time sequence data, and the charging pile data, determine the charging pile load parameters, traffic flow waiting time parameters, and power grid load parameters of the highway service area under different time periods.

[0067] It should be noted that the preset charging parameters for vehicle charging mentioned above are the electrical parameters involved when the driver and passengers charge the vehicle, such as charging voltage, charging current, charging power, battery capacity, and charging strategy. This application embodiment does not limit these parameters.

[0068] It is understandable that the electrical parameters involved in charging are not consistent for different vehicles. The electrical parameters used in the embodiments of this application can be set based on the actual application situation, such as estimating the average value based on the type of electric vehicle in the traffic flow, or setting them based on market research, etc., and this application embodiment does not impose any restrictions on this.

[0069] It is understandable that the charging pile load parameters, traffic flow timing data, and power grid load parameters of highway service areas at different time periods can be determined based on the preset charging parameters of vehicle charging, traffic flow waiting time parameters, and power grid load parameters.

[0070] It should be noted that the charging pile load parameters in highway service areas can be represented by the charging pile occupancy rate. The vehicle waiting time parameter in highway service areas can be determined based on the time required for vehicle charging, the charging pile occupancy rate, and the number of vehicles remaining to be charged. The power grid load parameters of highway service areas can be the load parameters imposed on the power grid in the service area to maintain its operation. Specifically, this can include peak power grid load, valley power grid load, average power grid load, and peak-valley load difference. The peak power grid load is the maximum load value imposed on the power grid by all charging piles in the highway service area within a day; the valley power grid load is the minimum load value imposed on the power grid by all charging piles in the highway service area within a day; the average power grid load is the average load value imposed on the power grid by all charging piles in the highway service area within a day; and the peak-valley load difference is the difference between the peak power grid load and the valley power grid load.

[0071] Understandably, by using charging pile load parameters, vehicle waiting time parameters, and grid load parameters, the grid carrying capacity of highway service areas, user demand, and demand trends can be quantified, thereby ensuring that the deployment of charging piles can simultaneously take into account cost and driver experience, while avoiding grid overload and achieving coordinated development of vehicles, charging piles, and the grid.

[0072] In a specific implementation, the deployment equipment of this application embodiment can determine the charging pile load parameters, traffic waiting time parameters, and power grid load parameters of the highway service area at different time periods in a cycle based on the preset charging parameters of vehicle charging, traffic flow time sequence data, and charging pile data, thereby realizing the estimation of the number of charging piles to be deployed.

[0073] Step S30: Determine the charging pile deployment adjustment parameters of the highway service area based on the power grid load parameters, the charging pile load parameters, and the traffic flow waiting time parameters;

[0074] Step S40: Adjust the charging pile data according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed to obtain the number of charging piles to be deployed.

[0075] It should be noted that once the grid load parameters, charging pile load parameters, and vehicle waiting time parameters are determined, the adjustment parameters for the deployment of charging piles in highway service areas at different times can be further determined.

[0076] It should be explained that the above-mentioned charging pile deployment adjustment parameters are parameters that can be used to adjust the number of charging piles to be deployed in the charging pile data. By adjusting the number of charging piles to be deployed based on the charging pile deployment adjustment parameters, the actual number of charging piles to be deployed in each highway service area can be obtained.

[0077] In some embodiments of this application, the step of determining the charging pile deployment adjustment parameters of the highway service area based on the power grid load parameters, the charging pile load parameters, and the traffic flow waiting time parameters includes: constructing a power grid load curve based on the power grid load parameters, and recording the peak and valley values ​​of the power grid load and the power grid load assessment value in the power grid load curve; constructing a charging pile load curve based on the charging pile load parameters, and recording the peak and valley values ​​of the charging pile load and the charging pile load assessment value in the charging pile load curve; constructing a traffic flow waiting time curve based on the traffic flow waiting time parameters, and recording the traffic flow waiting time assessment value in the traffic flow waiting time curve; and determining the charging pile deployment adjustment parameters of the highway service area based on the peak and valley values ​​of the power grid load, the power grid load assessment value, the peak and valley values ​​of the charging pile load, the charging pile load assessment value, the peak and valley values ​​of the traffic flow waiting time, and the traffic flow waiting time assessment value.

[0078] It should be noted that a power grid load curve is constructed based on power grid load parameters. This power grid load curve can be used to represent the relationship between power grid load and time changes caused by high-speed service areas. Through this power grid load curve, the peak value, valley value (i.e., peak-valley value), peak-valley difference, and power grid load assessment value can be determined.

[0079] It should be explained that the aforementioned power grid load assessment value is a parameter used to evaluate the load characteristics of a highway service area on the power grid. It can be the average power grid load, the standard deviation of the power grid load, etc., and this application embodiment does not limit this. In some embodiments of this application, the average power grid load is used as an example to illustrate the scheme of this application embodiment.

[0080] It is understood that the charging pile load curve, the vehicle waiting time curve, and the parameters recorded from these curves in the embodiments of this application can be obtained by referring to the steps described above in relation to the power grid load curve. The embodiments of this application will not elaborate on these steps.

[0081] In some embodiments of this application, the layout adjustment parameters of the charging piles can be determined by constructing a calculation model for the charging pile layout adjustment parameters. The specific formula of this model can be shown in the following formula (1):

[0082] K total =K grid (w1)·K ev (w2)·K wait (w3) (1)

[0083] Among them, K total Used to indicate the adjustment parameters for charging pile deployment; K gridK is used to represent the grid load constraint coefficient, and w1 is used to represent the grid load weight corresponding to the grid load constraint coefficient; ev w2 is used to represent the charging pile occupancy rate coefficient, and w2 is used to represent the charging pile weight corresponding to the charging pile occupancy rate coefficient; K wait w3 is used to represent the vehicle waiting time coefficient, and w3 is used to represent the vehicle waiting weight corresponding to the vehicle waiting time coefficient corresponding to the charging pile occupancy rate coefficient.

[0084] In some embodiments of this application, the above-mentioned power grid load weight, charging pile weight, and vehicle waiting weight can be set based on the needs of actual applications, and this application does not limit this.

[0085] In some embodiments of this application, the above-mentioned power grid load constraint coefficient can be determined based on the power grid load constraint model. When there is a power grid load peak exceeding the peak safety threshold, or a power grid load average exceeding the average safety threshold, or a power grid load valley below the valley safety threshold (if none of these exist, the power grid load constraint coefficient can be taken as 1), the power grid load constraint model in this application embodiment can be as follows (2):

[0086] K grid =1-α(P peak -P p_limit )-β(P avg -P a_limit )+γ(P v_limit -P valley (2)

[0087] Where α is the peak sensitivity coefficient, α(P) peak -P p_limit ) represents the peak load penalty term, used to apply the penalty to the peak load P of the power grid. peak Exceeding the peak safety threshold P p_limit At that time, the adjustment coefficient for charging pile deployment is reduced based on the excess ratio; β is the mean sensitivity coefficient, β(P avg -P a_limit ) is a penalty term for exceeding the mean limit, used to apply the penalty to the mean load P of the power grid. avg Exceeding the mean safety threshold P a_limit At that time, the adjustment coefficient for charging pile deployment is reduced based on the excess ratio; γ is the valley sensitivity coefficient, and the above γ(P) v_limit -P valley The term ) is the valley value compensation term, which is used to increase the charging pile deployment adjustment coefficient based on the gap ratio when the valley value of the power grid load is lower than the valley value safety threshold.

[0088] In some embodiments of this application, the peak sensitivity coefficient, peak safety threshold, mean sensitivity coefficient, mean safety threshold, valley sensitivity coefficient, and valley safety threshold can be set based on the actual application.

[0089] For example, the peak sensitivity coefficient can be 0.5, and the peak safety threshold can be 80%. When the peak load is 90%, the peak over-limit penalty is 0.05. The mean sensitivity coefficient can be 0.3, and the mean safety threshold can be 60%. When the mean load is 70%, the mean over-limit penalty is 0.03. The valley sensitivity coefficient can be 0.2, and the valley safety threshold can be 30%. When the valley load is 20%, the valley compensation is 0.02. Thus, the grid load constraint coefficient is 0.94.

[0090] In some embodiments of this application, the above-mentioned charging pile occupancy rate coefficient is used to optimize the charging pile occupancy rate in highway service areas, and its specific determination steps can be referred to as shown in the following formula (3):

[0091]

[0092] Where δ is the low occupancy sensitivity coefficient, δ(U low -U avg () is used to represent a low occupancy penalty, used in the charging pile load assessment value U. avg Below the target lower limit U low The charging pile occupancy rate coefficient is reduced based on the shortage; ∈ is the high occupancy rate sensitivity coefficient, ∈(U avg -U high This is a high utilization compensation item, used when the charging pile load assessment value exceeds the target upper limit U. high The occupancy rate coefficient of charging piles will be increased based on the proportion of over-limit charging piles.

[0093] In some embodiments of this application, the aforementioned low occupancy sensitivity coefficient, target lower limit, high occupancy sensitivity coefficient, and target upper limit can be set according to the actual application situation, and this application does not impose any restrictions on this.

[0094] In some embodiments of this application, the above-mentioned traffic flow waiting time coefficient can be calculated as follows (4):

[0095]

[0096] Among them, T low For low duration limits, T highThe high-duration limit is given by τ, where τ is the sensitivity coefficient for traffic waiting time, and f(·) is the smoothing function (such as the square root function). τ·f(max(T)) wait -T target ,0)) is a vehicle waiting time compensation term, used to compensate for the waiting time T when all charging stations are occupied. wait With target duration T target The difference between them increases the charging pile occupancy rate coefficient.

[0097] In a specific implementation, the deployment equipment in this application embodiment constructs a power grid load parameter curve, a charging pile load curve, and a traffic flow waiting time curve, and obtains the corresponding peak and valley values ​​and average values ​​based on these curves. Then, it calculates the charging pile deployment adjustment parameters for the highway service area. By adjusting the number of charging piles to be deployed in the highway service area based on the charging pile deployment adjustment parameters, the number of charging piles to be deployed that meet the application requirements can be determined.

[0098] This application embodiment acquires traffic flow time-series data and charging pile data from highway service areas; based on preset charging parameters for vehicle charging, traffic flow time-series data, and charging pile data, it determines the charging pile load parameters, traffic waiting time parameters, and grid load parameters of the highway service areas at different time periods; it determines the charging pile deployment adjustment parameters of the highway service areas based on the grid load parameters, charging pile load parameters, and traffic waiting time parameters; and it adjusts the charging pile data according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed to obtain the number of charging piles to be deployed. Because it plans the deployment of charging piles in highway service areas by comprehensively considering the charging pile load parameters, traffic waiting time parameters, and grid load parameters at different time periods, using periodic traffic flow time-series data, it achieves a balance between cost and user experience, and can improve the charging demand problem of new energy vehicles during long-distance travel to a certain extent.

[0099] Based on the first embodiment of this application, in the second embodiment of this application, the content that is the same as or similar to that in the first embodiment described above can be referred to the above description, and will not be repeated hereafter. Based on this, please refer to... Figure 2 , Figure 2 This is a flowchart illustrating the second embodiment of the charging pile deployment method in the highway service area of ​​this application.

[0100] like Figure 2 As shown in this embodiment, the step of determining the charging pile load parameters, traffic waiting time parameters, and power grid load parameters of the highway service area under different time periods based on the preset charging parameters of vehicle charging, the traffic flow time sequence data, and the charging pile data includes:

[0101] Step S21: Obtain the preset charging parameters for vehicle charging;

[0102] Step S22: Determine the charging waiting time for the vehicle based on the charging pile data and the preset charging parameters;

[0103] Step S23: Determine the charging pile load parameters for different time periods based on the charging waiting time, the traffic flow time sequence data, and the charging pile data;

[0104] Step S24: Determine the vehicle waiting time parameters for different time periods based on the charging pile load parameters;

[0105] Step S25: Determine the grid load parameters for different time periods based on the traffic flow waiting time parameters and the charging pile load parameters.

[0106] Understandably, once the preset charging parameters for vehicle charging are determined, the charging wait time required to fully charge the vehicle can be determined based on the charging voltage, charging current, and charging power data from the charging piles. Once the required charging wait time for each vehicle is determined, the charging pile load parameters can be determined based on the number of charging piles and the remaining vehicles waiting to be charged. Based on traffic flow time-series data, the charging pile load parameters for the highway server at different time periods can then be determined.

[0107] Furthermore, the deployment equipment in this application embodiment can also determine the traffic flow waiting time parameters at different time periods, and then determine the corresponding power grid load parameters based on the traffic flow waiting time parameters and the charging pile load parameters.

[0108] In some embodiments of this application, the above-mentioned traffic flow waiting time parameters can be obtained based on queuing models, or based on charging pile load parameters and vehicle arrival time interpolation, or based on machine learning methods. This application does not limit these methods.

[0109] In some embodiments of this application, the step of determining the charging pile load parameters for different time periods based on the charging waiting time and the traffic flow time-series data includes: aligning the time-series data based on the charging waiting time and the traffic flow time-series data to obtain a charging three-dimensional dataset; performing time-axis interpolation on the charging piles according to the charging three-dimensional dataset to obtain the charging pile occupancy status within the highway service area; and determining the charging pile load parameters for different time periods based on the charging pile occupancy status.

[0110] Understandably, traffic flow time-series data can determine the arrival time of each vehicle at the highway service area; charging wait times can determine the time required for each vehicle to charge at the charging station. By aligning the traffic flow time-series data and charging wait times, data fusion is achieved, resulting in a three-dimensional charging dataset composed of vehicles, charging stations, and the network. This three-dimensional charging dataset can include a data chain consisting of vehicle arrival time, charging start time, and charging end time.

[0111] In some embodiments of this application, for ease of description, the vehicle arrival time in these embodiments can be considered as the charging start time. Based on the vehicle arrival time and charging waiting time, the vehicle's charging end time can be determined, thereby generating an event timeline and recording the charging events of each vehicle in chronological order.

[0112] In some embodiments of this application, a corresponding charging pile time axis can be established for each charging pile in the highway service area. Based on the charging 3D dataset, time axis interpolation of the charging pile time axis can be realized, thereby simulating the occupancy of the charging pile and obtaining the charging pile occupancy status in the highway service area. For example, based on the arrival time of vehicle A in the traffic flow time sequence data, the arrival and departure times of vehicle A can be assigned to the time axis of charging pile A (that is, simulating the use of charging pile A to charge vehicle A), thus realizing the simulated occupancy of the charging pile.

[0113] It is understandable that by aligning the time-series data and interpolating the time axis as described above, the daily occupancy status of charging piles in highway service areas (such as whether they are occupied and the duration of occupation) can be determined, and then the charging pile load parameters for different time periods (i.e., each day) can be determined based on the charging pile occupancy status.

[0114] In some embodiments of this application, the above-mentioned charging pile load parameters may be calculated by time integration, by average occupancy rate, or by machine learning method. This application does not limit the calculation in this way.

[0115] This application's embodiments obtain preset charging parameters for vehicle charging; determine the vehicle charging waiting time based on charging pile data and preset charging parameters; determine charging pile load parameters for different time periods based on charging waiting time, traffic flow time-series data, and charging pile data; determine traffic flow waiting time parameters for different time periods based on charging pile load parameters; and determine grid load parameters for different time periods based on traffic flow waiting time parameters and charging pile load parameters. Because spatiotemporal granular optimization is performed using traffic flow time-series data and charging pile load parameters, it avoids charging pile oversupply due to insufficient demand or charging pile shortage due to excessive demand. Based on the solution of this application, dynamic expansion of charging piles in highway service areas can be achieved, reducing user waiting anxiety during holidays and lowering operating costs.

[0116] Based on the first and / or second embodiments of this application, in the third embodiment of this application, the content that is the same as or similar to the first and / or second embodiments described above can be referred to the above description and will not be repeated hereafter. Based on this, please refer to... Figure 3 , Figure 3 This is a flowchart illustrating the third embodiment of the charging pile deployment method in the highway service area of ​​this application.

[0117] like Figure 3 As shown in the embodiments of this application, the number of charging piles to be deployed includes a first number of charging piles to be deployed and a second number of charging piles to be deployed.

[0118] The step of adjusting the charging pile data according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed to obtain the number of charging piles to be deployed includes:

[0119] Step S41: Obtain the number of charging piles to be deployed from the charging pile data;

[0120] Step S42: Adjust the number of charging piles to be deployed based on the charging pile deployment adjustment parameters to obtain the first number of charging piles to be deployed.

[0121] Step S43: Adjust the number of the first charging piles to be deployed based on the service area weight of the highway service area to obtain the number of the second charging piles to be deployed.

[0122] It should be noted that once the charging pile deployment adjustment parameters are obtained, the number of charging piles to be deployed can be adjusted based on these parameters to obtain the first number of charging piles to be deployed. Since there are usually multiple highway service areas on a highway route, corresponding service area weights can be set for each service area. The first number of charging piles to be deployed can be further adjusted based on these service area weights to obtain the second number of charging piles to be deployed.

[0123] In some embodiments of this application, the step of adjusting the first number of charging piles to be deployed based on the service area weights of the highway service areas to obtain a second number of charging piles to be deployed includes: constructing a service area group based on adjacent highway service areas in the road model; determining the density of charging piles to be deployed in the service area group according to the first number of charging piles to be deployed; obtaining the service area weights of each highway service area in the road model; and adjusting the first number of charging piles to be deployed in the service area group according to the service area weights and the density of charging piles to be deployed to obtain a second number of charging piles to be deployed.

[0124] It should be noted that the road model described above can be a model constructed based on a single expressway or a network of expressways. Multiple expressway service areas can be set up in the road model. For adjacent expressway service areas within an expressway segment, a service area group can be constructed. For each service area group, the density of charging piles to be deployed in the first and second expressway service areas can be determined based on the number of charging piles to be deployed in the first and second expressway service areas. The first and second expressway service areas mentioned above are only used to distinguish the expressway service areas within the service area group.

[0125] It should be explained that different highway service areas typically have different sizes, such as large service areas and small service areas. Different service area sizes can correspond to different service area weights.

[0126] It should be noted that the density of the charging piles to be deployed can be determined based on the density of charging piles in the two highway service areas and the distance between the two highway service areas. This application embodiment does not impose specific restrictions on it.

[0127] Understandably, by adjusting the number of charging piles to be deployed in each highway service area based on the density of the charging piles to be deployed and the weight of the service area, the second number of charging piles to be deployed in each highway service area can be coordinated based on the size of the highway service area and the number of charging piles in adjacent highway service areas, making the distribution of charging piles in each highway service area more uniform.

[0128] In some embodiments of this application, the charging pile allocation ratio can be determined based on the first service area weight of the first highway service area and the second service area weight of the second highway service area. Simultaneously, the charging pile density to be deployed in each service area group and the charging pile allocation ratio within the service area group are used as constraint functions for charging pile deployment. The initial number of charging piles to be deployed in the first highway service area (the first number of charging piles to be deployed in the first highway service area) and the initial number of charging piles to be deployed in the second highway service area (the first number of charging piles to be deployed in the second highway service area) are used as initial values, and optimized using a simulated annealing algorithm to obtain the second number of charging piles to be deployed.

[0129] This application embodiment obtains the number of charging piles to be deployed from charging pile data; adjusts the number of charging piles to be deployed based on charging pile deployment adjustment parameters to obtain a first number of charging piles to be deployed; and adjusts the first number of charging piles to be deployed based on the service area weight of highway service areas to obtain a second number of charging piles to be deployed. Because the number of charging piles to be deployed is adjusted based on the service area weight and service area group density of highway service areas, the grid coordination capability is improved and operating costs are optimized.

[0130] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the charging pile deployment method in the highway service area of ​​this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0131] This application also provides a charging pile deployment device for highway service areas; please refer to [reference needed]. Figure 4 , Figure 4 This is a schematic diagram of the modular structure of a charging pile deployment device for highway service areas according to an embodiment of this application. The charging pile deployment device for highway service areas includes:

[0132] Data acquisition module 10 is used to acquire traffic flow time sequence data and charging pile data of highway service areas;

[0133] The parameter determination module 20 is used to determine the charging pile load parameters, traffic waiting time parameters, and power grid load parameters of the highway service area under different time periods based on the preset charging parameters of vehicle charging, the traffic flow time sequence data, and the charging pile data.

[0134] The deployment adjustment module 30 is used to determine the deployment adjustment parameters of the charging piles in the highway service area based on the power grid load parameters, the charging pile load parameters, and the traffic flow waiting time parameters.

[0135] The charging pile deployment module 40 is used to adjust the charging pile data according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed, so as to obtain the number of charging piles to be deployed.

[0136] The charging pile deployment device for highway service areas provided in this application, employing the charging pile deployment method for highway service areas described in the above embodiments, can solve the technical problem that it is difficult to simultaneously consider the driving and passenger experience and cost when deploying charging piles on highway sections. Compared with the prior art, the beneficial effects of the charging pile deployment device for highway service areas provided in this application are the same as those of the charging pile deployment method for highway service areas provided in the above embodiments, and other technical features in the charging pile deployment device for highway service areas are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0137] This application provides a charging pile deployment device for highway service areas. The charging pile deployment device for highway service areas includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the charging pile deployment method for highway service areas in the above embodiment 1.

[0138] The following is for reference. Figure 5 This document illustrates a structural schematic diagram of a charging pile deployment device suitable for implementing embodiments of this application in highway service areas. The charging pile deployment device in highway service areas in these embodiments may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 5 The charging pile deployment equipment shown in the highway service area is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0139] like Figure 5As shown, the charging pile deployment equipment in the highway service area may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the charging pile deployment equipment in the highway service area. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the charging station deployment equipment in the highway service area to exchange data with other devices wirelessly or via wired communication. Although the figure shows charging station deployment equipment in a highway service area with various systems, it should be understood that it is not required to implement or possess all the systems shown. More or fewer systems can be implemented alternatively.

[0140] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0141] The charging pile deployment equipment for highway service areas provided in this application, employing the charging pile deployment method for highway service areas described in the above embodiments, can solve the technical problem that it is difficult to simultaneously consider the driving and passenger experience and cost when deploying charging piles on highway sections. Compared with the prior art, the beneficial effects of the charging pile deployment equipment for highway service areas provided in this application are the same as those of the charging pile deployment method for highway service areas provided in the above embodiments, and other technical features of the charging pile deployment equipment for highway service areas are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0142] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0143] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0144] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the charging pile deployment method for high-speed service areas in the above embodiments.

[0145] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0146] The aforementioned computer-readable storage medium may be included in the charging pile deployment equipment in the highway service area; or it may exist independently and not be installed in the charging pile deployment equipment in the highway service area.

[0147] The aforementioned computer-readable storage medium carries one or more programs, which, when executed by the charging pile deployment equipment in the highway service area, cause the charging pile deployment equipment in the highway service area to:

[0148] Acquire traffic flow time-series data and charging pile data from highway service areas;

[0149] Based on the preset charging parameters for vehicle charging, the traffic flow time sequence data, and the charging pile data, the charging pile load parameters, traffic flow waiting time parameters, and power grid load parameters of the highway service area are determined for different time periods.

[0150] The charging pile deployment adjustment parameters of the highway service area are determined based on the power grid load parameters, the charging pile load parameters, and the traffic flow waiting time parameters.

[0151] The charging pile data is adjusted according to the charging pile deployment adjustment parameters and the number of charging piles to be deployed, so as to obtain the number of charging piles to be deployed.

[0152] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0153] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0154] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0155] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., computer programs) for executing the above-described method for deploying charging piles in highway service areas. This solves the technical problem that the deployment of charging piles on highways is difficult to simultaneously consider both driver and passenger experience and cost. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the charging pile deployment method for highway service areas provided in the above embodiments, and will not be elaborated upon here.

[0156] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the charging pile deployment method for high-speed service areas as described above.

[0157] The computer program product provided in this application can solve the technical problem that it is difficult to simultaneously consider the driver and passenger experience and cost when deploying charging piles on highways. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the charging pile deployment method in highway service areas provided in the above embodiments, and will not be repeated here.

[0158] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for laying out charging piles of a high-speed service area, characterized in that, The method comprises: acquiring traffic flow timing data and charging pile data of a high-speed service area; determining charging pile load parameters, traffic flow waiting time parameters and power grid load parameters of the high-speed service area at different time periods based on preset charging parameters of vehicle charging, the traffic flow timing data and the charging pile data; determining charging pile layout adjustment parameters of the high-speed service area according to the power grid load parameters, the charging pile load parameters and the traffic flow waiting time parameters; obtaining a number of charging piles to be laid out from the charging pile data; adjusting the number of charging piles to be laid out based on the charging pile layout adjustment parameters to obtain a first number of charging piles to be laid out; adjusting the first number of charging piles to be laid out based on a service area weight of the high-speed service area to obtain a second number of charging piles to be laid out; the step of adjusting the first number of charging piles to be laid out based on the service area weight of the high-speed service area to obtain the second number of charging piles to be laid out comprises: constructing a service area group based on adjacent high-speed service areas in a road model; determining a group charging pile density to be laid out in the service area group according to the first number of charging piles to be laid out; acquiring service area weights of the high-speed service areas in the road model; adjusting the first number of charging piles to be laid out in the service area group based on the service area weights and the group charging pile density to be laid out to obtain the second number of charging piles to be laid out; the determination manner of the charging pile layout adjustment parameters is: ； wherein, a charging pile layout adjustment parameter is used to represent; a power grid load constraint coefficient is used to represent, a power grid load weight corresponding to the power grid load constraint coefficient is used to represent; a charging pile occupancy rate coefficient is used to represent, a charging pile weight corresponding to the charging pile occupancy rate coefficient is used to represent; a vehicle flow waiting time length coefficient is used to represent, a vehicle flow waiting weight corresponding to the vehicle flow waiting time length coefficient corresponding to the charging pile occupancy rate coefficient is used to represent.

2. The method of claim 1, wherein, the step of determining the charging pile load parameters, the traffic flow waiting time parameters and the power grid load parameters of the high-speed service area at different time periods based on the preset charging parameters of vehicle charging, the traffic flow timing data and the charging pile data comprises: acquiring preset charging parameters of vehicle charging; determining a charging waiting time of vehicle charging according to the charging pile data and the preset charging parameters; determining charging pile load parameters at different time periods based on the charging waiting time, the traffic flow timing data and the charging pile data; determining traffic flow waiting time parameters at different time periods based on the charging pile load parameters; determining power grid load parameters at different time periods based on the traffic flow waiting time parameters and the charging pile load parameters.

3. The method of claim 2, wherein, the step of determining the charging pile load parameters at different time periods based on the charging waiting time and the traffic flow timing data comprises: aligning timing data based on the charging waiting time and the traffic flow timing data to obtain a charging three-dimensional data set; performing time axis interpolation on charging piles according to the charging three-dimensional data set to obtain charging pile occupation in the high-speed service area; determining charging pile load parameters at different time periods based on the charging pile occupation.

4. The method of claim 1, wherein, the step of determining the charging pile layout adjustment parameters of the high-speed service area according to the power grid load parameters, the charging pile load parameters and the traffic flow waiting time parameters comprises: constructing a power grid load curve based on the power grid load parameters, and recording power grid load peak and valley values and a power grid load evaluation value in the power grid load curve; construct a charging pile load curve based on the charging pile load parameter, and record a charging pile load peak-valley value and a charging pile load evaluation value in the charging pile load curve; construct a vehicle flow waiting time length curve based on the vehicle flow waiting time length parameter, and record a vehicle flow waiting time length evaluation value in the vehicle flow waiting time length curve; determine the charging pile layout adjustment parameter of the high-speed service area based on the power grid load peak-valley value, the power grid load evaluation value, the charging pile load peak-valley value, the charging pile load evaluation value, the vehicle flow waiting time length peak-valley value, and the vehicle flow waiting time length evaluation value.

5. A high-speed service area charging pile laying device, characterized in that, The charging pile layout device of the high-speed service area comprises: a data acquisition module configured to acquire vehicle flow time sequence data and charging pile data of the high-speed service area; a parameter determination module configured to determine charging pile load parameters, vehicle flow waiting time length parameters, and power grid load parameters of the high-speed service area in different time periods based on preset charging parameters of vehicle charging, the vehicle flow time sequence data, and the charging pile data; a layout adjustment module configured to determine the charging pile layout adjustment parameter of the high-speed service area according to the power grid load parameter, the charging pile load parameter, and the vehicle flow waiting time length parameter; a charging pile layout module configured to obtain a to-be-laid charging pile quantity from the charging pile data, adjust the to-be-laid charging pile quantity based on the charging pile layout adjustment parameter to obtain a first to-be-laid charging pile quantity, and adjust the first to-be-laid charging pile quantity based on a service area weight of the high-speed service area to obtain a second to-be-laid charging pile quantity; the step of adjusting the first to-be-laid charging pile quantity based on the service area weight of the high-speed service area to obtain the second to-be-laid charging pile quantity comprises: constructing a service area group based on adjacent high-speed service areas in a road model, determining a to-be-laid group charging pile density in the service area group according to the first to-be-laid charging pile quantity, acquiring service area weights of the high-speed service areas in the road model, and adjusting the first to-be-laid charging pile quantity in the service area group according to the service area weights and the to-be-laid group charging pile density to obtain the second to-be-laid charging pile quantity; The determination manner of the charging pile layout adjustment parameter is as follows: ； wherein, a charging pile layout adjustment parameter is used to represent; a power grid load constraint coefficient is used to represent, a power grid load weight corresponding to the power grid load constraint coefficient is used to represent; a charging pile occupancy rate coefficient is used to represent, a charging pile weight corresponding to the charging pile occupancy rate coefficient is used to represent; a vehicle flow waiting time length coefficient is used to represent, a vehicle flow waiting weight corresponding to the vehicle flow waiting time length coefficient corresponding to the charging pile occupancy rate coefficient is used to represent.

6. A high-speed service area charging pile laying device, characterized in that, The device comprises a memory, a processor, and a charging pile layout program of a high-speed service area stored on the memory and executable on the processor, and the charging pile layout program of the high-speed service area is configured to implement the steps of the charging pile layout method of the high-speed service area according to any one of claims 1 to 4.

7. A storage medium, characterized by The storage medium stores a charging pile layout program of a high-speed service area, and the charging pile layout program of the high-speed service area is executed by the processor to implement the steps of the charging pile layout method of the high-speed service area according to any one of claims 1 to 4.

8. A computer program product, characterised in that, The computer program product comprises a computer program, and the computer program is executed by the processor to implement the steps of the charging pile layout method of the high-speed service area according to any one of claims 1 to 4.

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