Charging pile layout method, device and equipment for high-speed service area, storage medium and program product

Abstract

The invention discloses a charging pile arrangement method, device and equipment for a high-speed service area, a storage medium and a program product, and relates to the technical field of charging pile planning, and the charging pile arrangement method for the high-speed service area comprises the steps: obtaining traffic flow time sequence data and charging pile data of the high-speed service area; determining charging pile load parameters, traffic flow waiting duration parameters and power grid load parameters of the high-speed service area in different time periods based on preset charging parameters of vehicle charging, traffic flow time sequence data and charging pile data; according to the power grid load parameter, the charging pile load parameter and the traffic flow waiting time parameter, determining a charging pile layout adjustment parameter of the high-speed service area; and the charging pile data are adjusted according to the charging pile arrangement adjustment parameters and the number of the to-be-arranged charging piles, and the number of the to-be-arranged charging piles is obtained. Cost and user experience are taken into account, and the charging demand problem of the new energy automobile in the long-distance driving process can be improved to a certain extent.

Description

Technical Field

[0001] The present application relates to the technical field of charging pile planning, and in particular to a method, device, equipment, storage medium, and program product for deploying charging piles in highway service areas. Background Art

[0002] With climate change, energy shortages, and increasingly severe environmental pollution, especially air pollution caused by automobile emissions, a major challenge in environmental governance, new energy vehicles are gaining increasing market share and leading to increasing research and investment in electric vehicles worldwide.

[0003] As more and more people choose electric vehicles as their means of transportation, the limited range and charging time of electric vehicles make charging a significant challenge during long-distance travel. This is especially true on expressways, where charging difficulties, long-distance anxiety among drivers, and tidal fluctuations make it difficult to balance the driver and passenger experience with cost when deploying charging stations. Summary of the Invention

[0004] The main purpose of this application is to provide a method, device, equipment, storage medium and program product for the layout of charging piles in highway service areas, aiming to solve the technical problem that it is difficult to balance the driver and passenger experience and cost when arranging charging piles on highway sections.

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

[0006] Obtain traffic flow time series data and charging pile data in highway service areas;

[0007] Determine the charging pile load parameters, traffic waiting time parameters, and grid load parameters of the highway service area in different time periods based on preset charging parameters for vehicle charging, the traffic flow time series data, and the charging pile data;

[0008] Determining the charging pile layout adjustment parameters of the highway service area according to the grid load parameter, the charging pile load parameter, and the traffic waiting time parameter;

[0009] The charging pile data is adjusted according to the charging pile layout adjustment parameter and the number of charging piles to be deployed to obtain the number of charging piles to be deployed.

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

[0011] Obtaining preset charging parameters for vehicle charging;

[0012] Determining a charging waiting time for the vehicle according to the charging pile data and the preset charging parameters;

[0013] Determining charging pile load parameters in different time periods based on the charging waiting time, the traffic flow time series data, and the charging pile data;

[0014] Determining the traffic waiting time parameters in different time periods based on the charging pile load parameters;

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

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

[0017] Performing time series data alignment based on the charging waiting time and the traffic flow time series data to obtain a charging three-dimensional data set;

[0018] Performing time axis interpolation on the charging piles according to the three-dimensional charging data set to obtain the occupancy status of the charging piles in the highway service area;

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

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

[0021] 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 assessment value in the power grid load curve;

[0022] Constructing a charging pile load curve based on the charging pile load parameters, and recording the charging pile load peak and valley values and the charging pile load evaluation value in the charging pile load curve;

[0023] Constructing a traffic waiting time curve based on the traffic waiting time parameter, and recording a traffic waiting time evaluation value in the traffic waiting time curve;

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

[0025] In some embodiments, 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 arrangement adjustment parameter and the number of charging piles to be arranged to obtain the number of charging piles to be arranged includes:

[0027] Obtaining the number of charging piles to be deployed from the charging pile data;

[0028] Adjusting the number of charging piles to be deployed based on the charging pile deployment adjustment parameter to obtain a first number of charging piles to be deployed;

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

[0030] In some embodiments, 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] Determine the density of the charging piles to be deployed in the service area group according to the first number of charging piles to be deployed;

[0033] Obtaining a service area weight for each highway service area in the road model;

[0034] The first number of 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 group to obtain the second number of charging piles to be deployed.

[0035] In addition, to achieve the above-mentioned purpose, the present application also proposes a charging pile layout device for a highway service area, the charging pile layout device for a highway service area comprising:

[0036] Data acquisition module, used to obtain traffic flow time series data and charging pile data in highway service areas;

[0037] a parameter determination module, configured to determine charging pile load parameters, traffic waiting time parameters, and grid load parameters of the highway service area in different time periods based on preset charging parameters for vehicle charging, the traffic flow time series data, and the charging pile data;

[0038] A layout adjustment module, configured to determine a charging pile layout adjustment parameter of the highway service area according to the grid load parameter, the charging pile load parameter, and the traffic waiting time parameter;

[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-mentioned purpose, the present application also proposes a charging pile deployment device for a highway service area, the device comprising: a memory, a processor, and a computer program stored on the memory and runnable on the processor, the computer program being configured to implement the steps of the method for deploying charging piles in a highway service area as described above.

[0041] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the charging pile deployment method in the high-speed service area as described above are implemented.

[0042] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the method for deploying charging piles in a high-speed service area as described above.

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

[0044] This application obtains the traffic flow time series data and charging pile data of the highway service area; determines the charging pile load parameters, traffic waiting time parameters and grid load parameters of the highway service area in different time periods based on the preset charging parameters of vehicle charging, traffic flow time series data and charging pile data; determines the charging pile layout adjustment parameters of the highway service area according to the grid load parameters, charging pile load parameters and traffic waiting time parameters; adjusts the charging pile data according to the charging pile layout adjustment parameters and the number of charging piles to be deployed, and obtains the number of charging piles to be deployed. Since the number of charging piles to be deployed in the highway service area is planned by combining the charging pile load parameters, traffic waiting time parameters and grid load parameters in different time periods, and 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 driving to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0046] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0047] Figure 1 A flow chart illustrating a first embodiment of a method for deploying charging piles in a high-speed service area of this application;

[0048] Figure 2 A flow chart illustrating a second embodiment of the method for deploying charging piles in a high-speed service area of this application;

[0049] Figure 3 A flowchart illustrating a third embodiment of the method for deploying charging piles in a high-speed service area of this application;

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

[0051] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the method for deploying charging piles in a high-speed service area in an embodiment of the present application.

[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 DESCRIPTION

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

[0054] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0055] The main solution of the embodiment of the present application is: obtaining the traffic flow time series data and charging pile data of the highway service area; determining the charging pile load parameters, traffic waiting time parameters and power grid load parameters of the highway service area in different time periods based on the preset charging parameters of vehicle charging, traffic flow time series data and charging pile data; determining the charging pile layout adjustment parameters of the highway service area according to the power grid load parameters, charging pile load parameters and traffic waiting time parameters; adjusting the charging pile data according to the charging pile layout adjustment parameters and the number of charging piles to be deployed to obtain the number of charging piles to be deployed.

[0056] Since the number of charging piles to be deployed in the highway service area is analyzed based on traffic time series data and charging pile data, the number of charging piles to be deployed can meet the user's usage needs and reduce the deployment cost.

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

[0058] Based on this, the embodiment of the present application provides a method for deploying charging piles in a high-speed service area, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the method for deploying charging piles in a high-speed service area of this application.

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

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

[0061] It is understandable that along the expressway, there will be high-speed service areas for providing charging, rest, refueling and other services to drivers and vehicles. The above-mentioned traffic time series data is also the traffic flow information of electric vehicles recorded based on time sequence. The above-mentioned charging pile data is also the data of charging piles to be deployed, which may include the number of charging piles to be deployed, the power of charging piles to be deployed, etc., which is not limited in the embodiment of the present application. For the sake of ease of explanation, the embodiment of the present application and the following embodiments take the example of the same power of all charging piles to be deployed as an example to illustrate the solution of the embodiment of the present application.

[0062] In some implementations of the present application, the above-mentioned traffic flow time series data may be a data set with a year as the collection period and a day as the time period. Through this traffic flow time series data, the periodic variation characteristics of traffic flow and traffic flow data in different time periods can be determined.

[0063] It should be noted that, since the traffic flow on expressways has periodic characteristics, the number of vehicles traveling on holidays will increase significantly compared to usual days. Therefore, when laying out charging piles in expressway service areas, if the layout is based on the traffic flow characteristics of ordinary days, it will lead to long waiting times for vehicles on holidays, reducing the experience of drivers and passengers; and if the layout is based on the traffic flow characteristics of holidays, there will be a large number of idle charging piles on ordinary days, which increases the cost of laying out charging piles. Based on this, the embodiment of the present application plans the layout of charging piles based on the traffic timing characteristics of the expressway service area and the charging pile data, thereby adjusting the number of charging piles to be laid out in the expressway service area, so that the layout of charging piles on expressway sections can be more in line with the travel conditions of drivers in actual applications, reducing the layout cost while taking into account the experience of drivers.

[0064] In some implementations of the present application, the number of charging piles to be deployed can be preset based on the actual operation of the high-speed server. The above-mentioned traffic time series data can reflect the dynamic changes in the number of electric vehicles in the high-speed server. Specifically, it can be obtained based on front-end equipment (such as cameras and geomagnetic vehicle inspection devices) in the high-speed service area. The present application does not impose any specific restrictions on the method of obtaining such data.

[0065] In the specific implementation table, the deployment equipment of the embodiment of the present application can obtain the traffic flow time series data and charging pile data of the highway service area, and plan the charging pile layout based on the traffic flow time series data and charging pile data, so that the layout of charging piles in the highway section can take into account both cost and user experience.

[0066] Step S20, based on the preset charging parameters of the vehicle charging, the traffic time series data and the charging pile data, the charging pile load parameters, the traffic waiting time parameters and the grid load parameters of the highway service area in different time periods are determined.

[0067] It should be noted that the preset charging parameters for the above-mentioned vehicle charging are the electrical parameters involved when the driver and passengers are charging the vehicle, such as charging voltage, charging current, charging power, battery capacity, charging strategy, etc., and the embodiments of this application do not limit this.

[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 the present application can be set based on actual application conditions, such as estimating the mean value based on the type of electric vehicles in the traffic flow, setting based on market research, etc., and the embodiments of the present application are not limited to this.

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

[0070] It should be noted that the charging pile load parameters in the highway service area can be represented by the charging pile occupancy rate in the highway service area. The waiting time parameters of the traffic in the highway service area can be determined based on the time required for vehicle charging, the charging pile occupancy rate and the remaining vehicles to be charged. The grid load parameters of the highway service area can be the load parameters caused to the grid in the highway service area required to maintain the operation of the grid, and can specifically include the grid load peak, grid load valley, grid load average and grid load peak-valley difference. Among them, the grid load peak is the maximum load value caused by all charging piles in the highway service area on the grid in one day, the grid load valley is the minimum load value caused by all charging piles in the highway service area on the grid in one day, the grid load average is the average load caused by all charging piles in the highway service area on the grid in one day, and the grid load peak-valley difference is the difference between the grid load peak and the grid load valley.

[0071] It is understandable that the charging pile load parameters, traffic waiting time parameters and grid load parameters can be used to quantify the grid carrying capacity of the highway service area, user usage needs and predict demand trends, thereby ensuring that the layout of charging piles can take into account both costs and driver and passenger experience, while avoiding grid overload and achieving coordinated development of vehicle-pile-network.

[0072] In a specific implementation, the deployment equipment of the embodiment of the present application can determine the charging pile load parameters, traffic waiting time parameters and power grid load parameters of the highway service area in different time periods in a cycle based on the preset charging parameters of vehicle charging, traffic timing data and charging pile data, thereby realizing the estimation of the number of charging pile deployments.

[0073] Step S30, determining the charging pile layout adjustment parameters of the highway service area according to the grid load parameter, the charging pile load parameter, and the traffic waiting time parameter;

[0074] Step S40: adjusting the charging pile data according to the charging pile arrangement adjustment parameter and the number of charging piles to be arranged, to obtain the number of charging piles to be arranged.

[0075] It should be noted that, when the grid load parameters, charging pile load parameters and vehicle waiting time parameters are determined, the charging pile layout adjustment parameters of the highway service area under different time periods can be further determined.

[0076] It should be explained that the above-mentioned charging pile layout adjustment parameter is a parameter 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 layout adjustment parameter, the number of charging piles that need to be actually deployed in each highway service area can be obtained.

[0077] In some implementation plans of the embodiments of the present application, the step of determining the charging pile layout adjustment parameters of the highway service area based on the grid load parameters, the charging pile load parameters and the traffic waiting time parameters includes: constructing a grid load curve based on the grid load parameters, and recording the grid load peak and valley values and the grid load evaluation value in the grid load curve; constructing a charging pile load curve based on the charging pile load parameters, and recording the charging pile load peak and valley values and the charging pile load evaluation value in the charging pile load curve; constructing a traffic waiting time curve based on the traffic waiting time parameters, and recording the traffic waiting time evaluation value in the traffic waiting time curve; determining the charging pile layout adjustment parameters of the highway service area based on the grid load peak and valley values, the grid load evaluation value, the charging pile load peak and valley values, the charging pile load evaluation value, the traffic waiting time peak and valley values and the traffic waiting time evaluation value.

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

[0079] It should be noted that the aforementioned grid load assessment value is a parameter used to assess the load characteristics of the load imposed on the grid by the high-speed service area, and may be a grid load mean value, a grid load standard deviation, etc., and the present embodiment is not limited thereto. In some implementations of the present embodiment, the grid load mean value is used as an example to illustrate the solution of the present embodiment.

[0080] It can be understood that the charging pile load curve, traffic waiting time curve, and the corresponding parameters recorded from these curves in the embodiment of the present application can refer to the steps related to the description of the above-mentioned power grid load curve, and the embodiment of the present application will not go into details about this.

[0081] In some implementations of the present application, the charging pile layout adjustment parameters can be determined by constructing a charging pile layout adjustment parameter calculation model. The specific formula of the model can be shown as 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 charging pile layout adjustment parameters; K gridIt is used to represent the grid load constraint coefficient, w1 is used to represent the grid load weight corresponding to the grid load constraint coefficient; K ev K is used to represent the charging pile occupancy coefficient, w2 is used to represent the charging pile weight corresponding to the charging pile occupancy coefficient; wait It is used to represent the traffic waiting time coefficient, and w3 is used to represent the traffic waiting weight corresponding to the traffic waiting time coefficient corresponding to the charging pile occupancy coefficient.

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

[0085] In some implementations of the embodiments of the present application, the above-mentioned grid load constraint coefficient can be determined based on a grid load constraint model. When there is a grid load peak exceeding a peak safety threshold, or a grid load mean exceeding a mean safety threshold, or a grid load valley below a valley safety threshold (if none of these exist, the grid load constraint coefficient can be 1), the grid load constraint model in the embodiments of the present application can be shown 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] Among them, α is the peak sensitivity coefficient, α(P peak -P p_limit ) is the peak over-limit penalty term, which is used to peak Exceeding the peak safety threshold P p_limit When the charging pile layout adjustment coefficient is reduced based on the excess ratio; β is the mean sensitivity coefficient, β(P avg -P a_limit ) is the mean over-limit penalty term, which is used to avg Exceeding the mean safety threshold P a_limit When the charging pile layout adjustment coefficient is reduced based on the excess ratio; γ is the valley sensitivity coefficient, the above γ(P v_limit -P valley ) is the valley compensation item, which is used to increase the charging pile layout adjustment coefficient based on the gap ratio when the grid load valley is lower than the valley safety threshold.

[0088] In some implementations of the embodiments of the present 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 situation in actual application.

[0089] For example, the peak sensitivity coefficient can be set to 0.5, the peak safety threshold can be set to 80%, and when the grid load peak is 90%, a peak overload penalty of 0.05 can be obtained. The mean sensitivity coefficient can be set to 0.3, the mean safety threshold can be set to 60%, and when the grid load mean is 70%, a mean overload penalty of 0.03 can be obtained. The valley sensitivity coefficient can be set to 0.2, the valley safety threshold can be set to 30%, and when the grid load valley is 20%, a valley compensation of 0.02 can be obtained. Thus, the grid load constraint coefficient can be 0.94.

[0090] In some implementations of the embodiments of the present application, the above charging pile occupancy coefficient is used to optimize the charging pile occupancy rate in the high-speed service area. The specific determination steps can refer to the following formula (3):

[0091]

[0092] Among them, δ is the low occupancy sensitivity coefficient, δ(U low -U avg ) is used to represent the low occupancy penalty term, which is used to evaluate the charging pile load value U avg Below the target lower limit U low When the charging pile occupancy coefficient is reduced according to the gap; ∈ is the high occupancy sensitivity coefficient, ∈(U avg -U high ) is a high utilization compensation item, which is used when the charging pile load evaluation value is higher than the target upper limit U high Increase the charging pile occupancy coefficient according to the excess ratio.

[0093] In some implementations of the embodiments of the present application, the above-mentioned 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 the embodiments of the present application do not limit this.

[0094] In some implementations of the present application, the above-mentioned traffic waiting time coefficient may be calculated as shown in (4) below:

[0095]

[0096] Among them, T low is the low time limit, T highis the high time limit, τ is the sensitivity coefficient of waiting time, f(·) is a smooth function (such as square root function), τ·f(max(T wait -T target , 0)) is the traffic waiting time superimposed compensation item, which is used to evaluate the traffic waiting time value T when all charging piles are occupied. wait With target duration T target The difference between them increases the charging pile occupancy coefficient.

[0097] In a specific implementation, the deployment equipment of the embodiment of the present application constructs a grid load parameter curve, a charging pile load curve, and a traffic waiting time curve, and obtains corresponding peak and valley values and average values based on these curves, and then calculates the charging pile deployment adjustment parameters of 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 meets the application requirements can be determined.

[0098] The embodiment of the present application obtains the traffic flow time series data and charging pile data of the highway service area; determines the charging pile load parameters, traffic waiting time parameters and grid load parameters of the highway service area in different time periods based on the preset charging parameters of vehicle charging, traffic flow time series data and charging pile data; determines the charging pile layout adjustment parameters of the highway service area according to the grid load parameters, charging pile load parameters and traffic waiting time parameters; adjusts the charging pile data according to the charging pile layout adjustment parameters and the number of charging piles to be deployed, and obtains the number of charging piles to be deployed. Since the number of charging piles to be deployed in the highway service area is planned by combining the charging pile load parameters, traffic waiting time parameters and grid load parameters in different time periods, and 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 driving to a certain extent.

[0099] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 , Figure 2 This is a flow chart of the second embodiment of the method for deploying charging piles in a high-speed service area of this application.

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

[0101] Step S21, obtaining preset charging parameters for vehicle charging;

[0102] Step S22, determining a charging waiting time for the vehicle according to the charging pile data and the preset charging parameters;

[0103] Step S23, determining charging pile load parameters in different time periods based on the charging waiting time, the traffic flow time series data, and the charging pile data;

[0104] Step S24, determining the vehicle waiting time parameters in different time periods based on the charging pile load parameters;

[0105] Step S25 , determining the grid load parameters in different time periods based on the vehicle waiting time parameter and the charging pile load parameter.

[0106] It is understood that once the preset charging parameters for a vehicle are determined, the charging waiting time required to fully charge the vehicle can be determined based on the charging voltage, charging current, charging power, and other information in the charging pile data. When determining the charging waiting time required for each vehicle, the charging pile load parameters can be determined based on the number of charging piles and the remaining vehicles to be charged. The charging pile load parameters for the high-speed server in different time periods can then be determined based on the traffic time series data.

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

[0108] In some implementations of the embodiments of the present application, the above-mentioned traffic waiting time parameters can be obtained based on a queuing model, or can be obtained by interpolation based on charging pile load parameters and vehicle arrival time, or can be obtained based on a machine learning method, and the embodiments of the present application are not limited to this.

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

[0110] It's understandable that traffic flow time series data can be used to determine the arrival time of each vehicle at a highway service area, and charging wait time can be used to determine the time each vehicle spends charging at a charging station. By aligning traffic flow time series data with charging wait time, the two data are fused to produce a three-dimensional charging dataset consisting of vehicle, charging station, and 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 the present application, for ease of description, the vehicle arrival time in the present application can be considered the charging start time. Based on the vehicle arrival time and the charging wait time, the vehicle charging end time can be determined, and then an event timeline is generated, recording the charging events of each vehicle in chronological order.

[0112] In some implementations of the embodiments of the present application, a corresponding charging pile time axis can be established for each charging pile in the high-speed service area. Based on the charging three-dimensional data set, the time axis interpolation of the charging pile time axis can be realized, and then the simulated occupancy of the charging pile can be realized to obtain the charging pile occupancy situation in the high-speed service area. For example, based on the vehicle arrival time of vehicle A in the traffic time series data, the vehicle arrival time and end time can be assigned to the time axis of charging pile A (that is, simulating the use of charging pile A to charge vehicle A), thereby realizing the simulated occupancy of the charging pile.

[0113] It can be understood that through the above-mentioned time series data alignment and time axis interpolation, the daily occupancy status of charging piles in the highway service area (such as whether they are occupied and the length of time they are occupied) can be determined, and then the charging pile load parameters in different time periods (that is, every day) can be determined based on the charging pile occupancy status.

[0114] In some implementations of the embodiments of the present application, the calculation method of the above-mentioned charging pile load parameters can be calculated by time integration method, or by average occupancy rate, or by machine learning-based method, and the embodiments of the present application are not limited to this.

[0115] The embodiment of the present application obtains the preset charging parameters for vehicle charging; determines the charging waiting time for vehicle charging based on the charging pile data and the preset charging parameters; determines the charging pile load parameters in different time periods based on the charging waiting time, traffic sequence data and charging pile data; determines the traffic waiting time parameters in different time periods based on the charging pile load parameters; and determines the grid load parameters in different time periods based on the traffic waiting time parameters and the charging pile load parameters. Since the spatiotemporal granularity optimization is performed using traffic sequence data and charging pile load parameters, an excess of charging piles due to insufficient demand or an insufficient number of charging piles due to excessive demand is avoided. Based on the solution of the present application, dynamic expansion of charging piles in high-speed service areas can be achieved, reducing users' waiting anxiety during holidays and lowering operating costs.

[0116] Based on the first embodiment and / or the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the first embodiment and / or the second embodiment can be referred to the above introduction and will not be described in detail later. Figure 3 , Figure 3 This is a flow chart of the third embodiment of the method for deploying charging piles in a high-speed service area of this application.

[0117] like Figure 3 As shown, in the embodiment of the present 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 arrangement adjustment parameter and the number of charging piles to be arranged to obtain the number of charging piles to be arranged includes:

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

[0120] Step S42, adjusting the number of charging piles to be deployed based on the charging pile deployment adjustment parameter to obtain a first number of charging piles to be deployed;

[0121] Step S43: adjusting the first number of charging piles to be deployed based on the service area weight of the highway service area to obtain a second number of 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 the charging pile deployment adjustment parameters to obtain a first number of charging piles to be deployed. Since there are usually multiple expressway service areas on a highway route, a corresponding service area weight can be set for each expressway service area. The first number of charging piles to be deployed can be further adjusted based on the service area weight to obtain a second number of charging piles to be deployed.

[0123] In some implementations of the embodiments of the present application, 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: 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 weight of each highway service area in the road model; adjusting the first number of charging piles to be deployed in the service area group according to the service area weight and the density of charging piles to be deployed to obtain the second number of charging piles to be deployed.

[0124] It should be noted that the above-mentioned road model can be a model constructed based on a highway network consisting of one highway or multiple highways. Multiple highway service areas can be set up in the road model. For adjacent highway service areas in a highway section, a service area group can be constructed. For each service area group, the density of charging piles to be deployed in the service area group can be determined based on the number of first charging piles to be deployed in the first highway service area and the second highway service area. The above-mentioned first highway service area and second highway service area are only used as the naming distinction of the high-speed service areas in the service area group.

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

[0126] It should be noted that the density of the charging piles in the above-mentioned group to be deployed can be determined based on the density of charging piles in the two high-speed service areas and the distance between the two high-speed service areas, and the embodiment of the present application does not impose any specific restrictions on it.

[0127] It can be understood that a secondary adjustment of 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 can enable the second number of charging piles to be deployed in each highway service area to be coordinated based on the scale of the highway service area and the number of charging piles between adjacent highway service areas, so that the layout of charging piles in each highway service area is more uniform.

[0128] In some implementations of the embodiments of the present application, the charging pile allocation ratio can be determined based on the first service area weight of the first high-speed service area and the second service area weight of the second high-speed service area. At the same time, the density of charging piles in the to-be-deployed group of each service area group and the charging pile allocation ratio within the service area group are used as constraint functions for charging pile deployment, and the initial number of charging piles to be deployed in the first high-speed service area (the first number of charging piles to be deployed in the first high-speed service area) and the initial number of charging piles to be deployed in the second high-speed service area (the first number of charging piles to be deployed in the second high-speed service area) are used as initial values, and optimized through a simulated annealing algorithm to obtain the second number of charging piles to be deployed.

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

[0130] It should be noted that the above examples are only used to understand this application and do not constitute a limitation on the method of deploying charging piles in the highway service area of this application. More simple transformations based on this technical concept are all within the scope of protection of this application.

[0131] This application also provides a charging pile layout device for a high-speed service area, please refer to Figure 4 , Figure 4 This is a schematic diagram of the module structure of the charging pile layout device in the highway service area according to an embodiment of the present application. The charging pile layout device in the highway service area includes:

[0132] The data acquisition module 10 is used to obtain the traffic flow time series data and charging pile data of the highway service area;

[0133] A parameter determination module 20 is configured to determine charging pile load parameters, traffic waiting time parameters, and grid load parameters of the highway service area in different time periods based on preset charging parameters for vehicle charging, the traffic flow time series data, and the charging pile data;

[0134] A layout adjustment module 30 is configured to determine a charging pile layout adjustment parameter of the highway service area according to the grid load parameter, the charging pile load parameter, and the traffic waiting time parameter;

[0135] The charging pile deployment module 40 is configured 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 layout device for a highway service area provided in this application adopts the charging pile layout method for a highway service area in the above-mentioned embodiment, which can solve the technical problem that it is difficult to balance the driver and passenger experience and cost when arranging charging piles on highway sections. Compared with the prior art, the beneficial effects of the charging pile layout device for a highway service area provided in this application are the same as the beneficial effects of the charging pile layout method for a highway service area provided in the above-mentioned embodiment, and the other technical features of the charging pile layout device for a highway service area are the same as the features disclosed in the above-mentioned embodiment method, and are not further described here.

[0137] The present application provides a charging pile deployment device for a highway service area, which 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 so that the at least one processor can execute the charging pile deployment method for the highway service area in the above-mentioned embodiment 1.

[0138] Reference below Figure 5 , which shows a schematic diagram of the structure of charging pile deployment equipment suitable for implementing the embodiments of the present application in a highway service area. The charging pile deployment equipment in the highway service area in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (such as in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The charging pile layout equipment shown in the high-speed service area is only an example and should not bring any limitations to the functions and scope of use of the embodiments of the present application.

[0139] like Figure 5As shown, the charging pile layout equipment of the high-speed service area may include a processing device 1001 (such as 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: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the charging pile layout equipment of the high-speed service area are also stored in RAM1004. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the charging pile layout equipment of the high-speed service area to communicate wirelessly or wired with other devices to exchange data. Although the figure shows the charging pile layout equipment of the high-speed service area with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

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

[0141] The charging pile layout equipment for highway service areas provided in this application adopts the charging pile layout method for highway service areas in the above-mentioned embodiment, which can solve the technical problem that it is difficult to balance the driver and passenger experience and cost when arranging charging piles on highway sections. Compared with the prior art, the beneficial effects of the charging pile layout equipment for highway service areas provided in this application are the same as the beneficial effects of the charging pile layout method for highway service areas provided in the above-mentioned embodiment, and the other technical features of the charging pile layout equipment for highway service areas are the same as those disclosed in the method of the previous embodiment, and are not further described 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 one or more embodiments or examples in a suitable manner.

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

[0144] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, a computer program) stored thereon, and the computer-readable program instructions are used to execute the method for deploying charging piles in a high-speed service area in the above-mentioned embodiment.

[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, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores 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 appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0146] The computer-readable storage medium may be included in the charging pile layout equipment of the highway service area; or it may exist independently without being assembled into the charging pile layout equipment of the highway service area.

[0147] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the charging pile deployment equipment in the highway service area, the charging pile deployment equipment in the highway service area:

[0148] Obtain traffic flow time series data and charging pile data in highway service areas;

[0149] Determine the charging pile load parameters, traffic waiting time parameters, and grid load parameters of the highway service area in different time periods based on preset charging parameters for vehicle charging, the traffic flow time series data, and the charging pile data;

[0150] Determining the charging pile layout adjustment parameters of the highway service area according to the grid load parameter, the charging pile load parameter, and the traffic waiting time parameter;

[0151] The charging pile data is adjusted according to the charging pile layout adjustment parameter and the number of charging piles to be deployed to obtain the number of charging piles to be deployed.

[0152] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0153] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0154] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0155] The computer-readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described method for deploying charging piles in highway service areas. This computer-readable storage medium can address the technical issue of charging pile deployment on highway sections, which is difficult to achieve a balanced balance between driver and passenger experience and cost. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the method for deploying charging piles in highway service areas provided in the above-described embodiment, and are not further elaborated here.

[0156] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for deploying charging piles in a high-speed service area.

[0157] The computer program product provided in this application can address the technical issue of balancing the driver and passenger experience with cost in the placement of charging piles on highways. Compared to the prior art, the beneficial effects of the computer program product provided in this application are similar to those of the method for deploying charging piles in highway service areas provided in the aforementioned embodiments, and are not further elaborated here.

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

Claims

1. A method for deploying charging piles in a high-speed service area, characterized in that: The method comprises: Obtain traffic flow time series data and charging pile data in highway service areas; Determine the charging pile load parameters, traffic waiting time parameters, and grid load parameters of the highway service area in different time periods based on preset charging parameters for vehicle charging, the traffic flow time series data, and the charging pile data; Determining the charging pile layout adjustment parameters of the highway service area according to the grid load parameter, the charging pile load parameter, and the traffic waiting time parameter; The charging pile data is adjusted according to the charging pile layout adjustment parameter and the number of charging piles to be deployed to obtain the number of charging piles to be deployed.

2. The method for deploying charging piles in a high-speed service area according to claim 1, wherein: The step of determining the charging pile load parameters, traffic waiting time parameters, and grid load parameters of the highway service area in different time periods based on the preset charging parameters of the vehicle charging, the traffic flow time series data, and the charging pile data includes: Obtaining preset charging parameters for vehicle charging; Determining a charging waiting time for the vehicle according to the charging pile data and the preset charging parameters; Determining charging pile load parameters in different time periods based on the charging waiting time, the traffic flow time series data, and the charging pile data; Determining the traffic waiting time parameters in different time periods based on the charging pile load parameters; The grid load parameters in different time periods are determined based on the traffic waiting time parameter and the charging pile load parameter.

3. The method for deploying charging piles in a high-speed service area according to claim 2, wherein: The step of determining the charging pile load parameters in different time periods based on the charging waiting time and the traffic flow time series data includes: Performing time series data alignment based on the charging waiting time and the traffic flow time series data to obtain a charging three-dimensional data set; Performing time axis interpolation on the charging piles according to the three-dimensional charging data set to obtain the occupancy status of the charging piles in the highway service area; Based on the occupancy of the charging pile, charging pile load parameters in different time periods are determined.

4. The method for deploying charging piles in a high-speed service area according to claim 1, wherein: The step of determining the charging pile layout adjustment parameters of the highway service area according to the grid load parameter, the charging pile load parameter, and the traffic waiting time parameter includes: 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 assessment value in the power grid load curve; Constructing a charging pile load curve based on the charging pile load parameters, and recording the charging pile load peak and valley values and the charging pile load evaluation value in the charging pile load curve; Constructing a traffic waiting time curve based on the traffic waiting time parameter, and recording a traffic waiting time evaluation value in the traffic waiting time curve; The charging pile layout adjustment parameters of the highway service area are determined based on the grid load peak and valley values, the grid load evaluation value, the charging pile load peak and valley values, the charging pile load evaluation value, the traffic waiting time peak and valley values, and the traffic waiting time evaluation value.

5. The method for deploying charging piles in a high-speed service area according to claim 1, wherein: 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; The step of adjusting the charging pile data according to the charging pile arrangement adjustment parameter and the number of charging piles to be arranged to obtain the number of charging piles to be arranged includes: Obtaining the number of charging piles to be deployed from the charging pile data; Adjusting the number of charging piles to be deployed based on the charging pile deployment adjustment parameter to obtain a first number of charging piles to be deployed; The first number of charging piles to be deployed is adjusted based on the service area weight of the high-speed service area to obtain the second number of charging piles to be deployed.

6. The method for deploying charging piles in a high-speed service area according to claim 5, characterized in that: The step of adjusting the first number of charging piles to be deployed based on the service area weight of the high-speed service area to obtain the second number of charging piles to be deployed includes: Construct service area groups based on adjacent highway service areas in the road model; Determine the density of the charging piles to be deployed in the service area group according to the first number of charging piles to be deployed; Obtaining a service area weight for each highway service area in the road model; The first number of 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 group to obtain the second number of charging piles to be deployed.

7. A charging pile layout device for a high-speed service area, characterized in that: The charging pile layout device of the high-speed service area includes: Data acquisition module, used to obtain traffic flow time series data and charging pile data in highway service areas; a parameter determination module, configured to determine charging pile load parameters, traffic waiting time parameters, and grid load parameters of the highway service area in different time periods based on preset charging parameters for vehicle charging, the traffic flow time series data, and the charging pile data; A layout adjustment module, configured to determine a charging pile layout adjustment parameter of the highway service area according to the grid load parameter, the charging pile load parameter, and the traffic waiting time parameter; 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.

8. A charging pile layout device for a high-speed service area, characterized in that: The device includes: a memory, a processor, and a charging pile deployment program for a high-speed service area stored in the memory and executable on the processor. The charging pile deployment program for a high-speed service area is configured to implement the steps of the method for deploying charging piles in a high-speed service area as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium stores a charging pile deployment program for a highway service area. When the charging pile deployment program for a highway service area is executed by a processor, the steps of the method for deploying charging piles in a highway service area according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the method for deploying charging piles in a high-speed service area according to any one of claims 1 to 6 are implemented.

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