Distribution network method and device of charging station and electronic equipment

Abstract

The invention discloses a network distribution method and device of a charging station and electronic equipment. The method comprises the steps that historical charging data corresponding to a vehicle used by a target object is acquired, and the historical charging data at least comprises an original power distribution strategy of a charging station; according to the historical charging data, a spatial domain viscosity coefficient and a time domain viscosity coefficient are determined, the spatial domain viscosity coefficient is used for representing the relation between the position of a vehicle used by the target object and charging station selection, and the time domain viscosity coefficient is used for representing the relation between the charging duration of the vehicle used by the target object and charging station selection; determining a charging load safety domain of the charging station according to the spatial domain viscosity coefficient and the time domain viscosity coefficient; and adjusting the original power distribution strategy according to the charging load safety domain to obtain a target power distribution strategy of the charging station. According to the method and the device, the technical problem that the charging electricity price and the travel distance required by charging are mostly considered for the address selection problem of the charging pile but the influence of the charging habit of the user on the charging behavior is often ignored in the related technology is solved.

Description

Technical Field

[0001] The present application relates to the field of electric power, and more specifically, to a network distribution method, device and electronic equipment for a charging station. Background Art

[0002] In the context of the booming new energy vehicle industry, charging piles (or charging stations) are key infrastructure to support the popularization of electric vehicles, and the scientific location and layout of charging piles (or charging stations) are particularly important. At present, in the site selection and planning of charging piles, there is a general tendency to focus on analyzing the economic efficiency of charging electricity prices and the shortest distance between charging stations and users' daily travel routes, aiming to reduce users' charging costs and improve charging convenience. However, in this process, the profound impact of the core factor of user charging habits on charging behavior patterns is often not fully considered. Users' charging habits, including charging time preferences, charging frequency, and power anxiety, are directly related to the actual use efficiency and satisfaction of charging piles. Ignoring these habitual factors may cause the layout of charging piles to be out of touch with real needs, resulting in waste of resources or inconvenience for users to charge.

[0003] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0004] The embodiments of the present application provide a network distribution method, device and electronic equipment for a charging station, so as to at least solve the technical problem that the site selection of charging piles in the related art mainly considers the charging electricity price and the travel distance required for charging, but often ignores the impact of user charging habits on charging behavior.

[0005] According to one aspect of an embodiment of the present application, a network distribution method for a charging station is provided, comprising: obtaining historical charging data corresponding to a vehicle used by a target object, wherein the historical charging data at least includes an original power distribution strategy of the charging station; determining a spatial domain viscosity coefficient and a temporal domain viscosity coefficient based on the historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the selection of the charging station, and the temporal domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the selection of the charging station; determining a charging load safety domain of the charging station based on the spatial domain viscosity coefficient and the temporal domain viscosity coefficient; and adjusting the original power distribution strategy based on the charging load safety domain to obtain a target power distribution strategy of the charging station.

[0006] Optionally, determining the spatial domain viscosity coefficient based on historical charging data includes: obtaining a first duration of the first vehicle from the starting point to the end point of each charging station in the historical charging data to obtain a first duration sequence, wherein the first duration sequence is determined by the first duration, the first vehicle is a vehicle used by any target object, and the positions of the starting point and the end point are different; determining a first minimum duration and a first maximum duration from the first duration sequence; determining a first total number of times the first vehicle is charged from the starting point to the end point from the historical charging data, determining a second total number of times the first vehicle is charged from the starting point, and determining the total number of times the first vehicle is charged in the historical charging data; determining the spatial domain viscosity coefficient corresponding to the first vehicle based on the first duration, the first minimum duration, the first maximum duration, the first total number of times, the second total number of times and the total number of charging times.

[0007] Optionally, obtaining a first duration of travel from a starting point to an end point at each charging station in historical charging data includes: obtaining a road network topology map corresponding to all nodes, wherein the nodes in the road network topology map include at least the starting point at which the first vehicle is located and the end point at which each charging station is located, and the road network topology map is used to represent the connection relationship between the nodes; determining the intermediate nodes passed from the starting point to the end point in sequence from the road network topology map, and determining the average travel time between each two nodes in the order of the starting point, the intermediate nodes and the end point; determining the first duration based on the average travel time between each two nodes among the starting point, the intermediate nodes and the end point.

[0008] Optionally, the average travel time between every two nodes is determined in turn, including: obtaining the first travel time of all vehicles passing through the section where the first node and the second node are located, and determining the total number of vehicles passing through the section where the first node and the second node are located, wherein the first node and the second node are any two directly connected nodes among the starting point, the intermediate node and the end point; based on the first travel time and the total number of vehicles, determine the average travel time between the first node and the second node.

[0009] Optionally, determining the time domain viscosity coefficient based on historical charging data includes: determining the charging time corresponding to the first vehicle at each charging moment from the historical charging data, wherein the first vehicle is a vehicle used by any target object; determining a first variance of the charging time corresponding to the first vehicle, and determining a second variance of the charging moment corresponding to the first vehicle; determining a first maximum variance from a first variance set, and determining a second maximum variance from a second variance set, wherein the first variance set is determined by the first variance of the charging times corresponding to all vehicles, and the second variance set is determined by the second variance of the charging moments corresponding to all vehicles; determining the time domain viscosity coefficient corresponding to the first vehicle based on the first maximum variance, the second maximum variance, the first variance, and the second variance.

[0010] Optionally, the charging load safety domain of the charging station is determined based on the spatial domain viscosity coefficient and the time domain viscosity coefficient, including: when the spatial domain viscosity coefficient of the first vehicle is less than or equal to a first value, and the time domain viscosity coefficient of the first vehicle is less than or equal to a second value, determining that the charging behavior of the first vehicle belongs to the first type, and the first vehicle is a vehicle used by any target object; when the spatial domain viscosity coefficient of the first vehicle is less than or equal to the first value, and the time domain viscosity coefficient of the first vehicle is greater than the second value, determining that the charging behavior of the first vehicle belongs to the second type; when the spatial domain viscosity coefficient of the first vehicle is greater than the first value, and the time domain viscosity coefficient of the first vehicle is less than or equal to the second value. When the viscosity coefficient of the first vehicle in spatial domain is greater than the first value and the viscosity coefficient of the first vehicle in time domain is greater than the second value, it is determined that the charging behavior of the first vehicle belongs to the fourth type; obtain a first charging load corresponding to the first type, a second charging load corresponding to the second type, a third charging load corresponding to the third type and a fourth charging load corresponding to the fourth type from the historical charging data; determine the total charging load based on the first charging load, the second charging load, the third charging load and the fourth charging load; determine the charging load safety domain based on the total charging load and the charging deviation.

[0011] Optionally, the original power distribution strategy is adjusted according to the charging load safety domain to obtain a target power distribution strategy for the charging station, including: obtaining the original charge capacity from the original power distribution strategy of the target charging station, wherein the target charging station is any charging station used by the target object; comparing the original charge capacity and the charging load safety domain to obtain a comparison result; when the comparison result indicates that the difference between the maximum value of the charging load safety domain and the original charge capacity is greater than a preset threshold, the original power distribution strategy of the target charging station is adjusted by increasing the original charge capacity or increasing the number of cables of the target charging station to obtain the corresponding target power distribution strategy of the target charging station.

[0012] According to another aspect of an embodiment of the present application, a network distribution device for a charging station is also provided, including: an acquisition module, used to acquire historical charging data corresponding to a vehicle used by a target object, wherein the historical charging data at least includes an original power distribution strategy of the charging station; a first determination module, used to determine a spatial domain viscosity coefficient and a time domain viscosity coefficient based on the historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the selection of the charging station, and the time domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the selection of the charging station; a second determination module, used to determine a charging load safety domain of the charging station based on the spatial domain viscosity coefficient and the time domain viscosity coefficient; an adjustment module, used to adjust the original power distribution strategy based on the charging load safety domain to obtain a target power distribution strategy of the charging station.

[0013] According to another aspect of the embodiment of the present application, an electronic device is also provided, including: a memory for storing program instructions; a processor, connected to the memory, for executing program instructions to implement the following functions: obtaining historical charging data corresponding to a vehicle used by a target object, wherein the historical charging data at least includes an original power distribution strategy of the charging station; determining a spatial domain viscosity coefficient and a time domain viscosity coefficient based on the historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the selection of the charging station, and the time domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the selection of the charging station; determining a charging load safety domain of the charging station based on the spatial domain viscosity coefficient and the time domain viscosity coefficient; adjusting the original power distribution strategy based on the charging load safety domain to obtain a target power distribution strategy of the charging station.

[0014] According to another aspect of the embodiments of the present application, a computer program product is provided, including computer instructions, which implement the above-mentioned charging station network distribution method when executed by a processor.

[0015] In an embodiment of the present application, historical charging data corresponding to the vehicle used by the target object is obtained, wherein the historical charging data at least includes the original power distribution strategy of the charging station; a spatial domain viscosity coefficient and a temporal domain viscosity coefficient are determined based on the historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the charging station selection, and the temporal domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the charging station selection; a charging load safety domain of the charging station is determined based on the spatial domain viscosity coefficient and the temporal domain viscosity coefficient; the original power distribution strategy is adjusted based on the charging load safety domain to obtain the target power distribution strategy of the charging station, thereby achieving the purpose of optimizing the power distribution strategy of the charging station, thereby achieving the technical effect of improving the operating efficiency of the charging station, and further solving the technical problem that the site selection problem of charging piles in the related technology mostly considers the charging electricity price and the travel distance required for charging but often ignores the impact of user charging habits on charging behavior. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0017] Figure 1 It is a hardware structure block diagram of a computer terminal for implementing a network distribution method of a charging station according to an embodiment of the present application;

[0018] Figure 2 is a flow chart of a network distribution method for a charging station according to an embodiment of the present application;

[0019] Figure 3is a road network topology diagram according to an embodiment of the present application;

[0020] Figure 4 It is a structural diagram of a distribution network device of a charging station according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0023] The network distribution method embodiment of the charging station provided in the embodiment of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal for implementing a charging station distribution method is shown. Figure 1 As shown, the computer terminal 10 may include one or more (102a, 102b, ..., 102n are used to illustrate) processors (the processor may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions connected via a wired and / or wireless network. In addition, it may also include: a display, a keyboard, a cursor control device, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, and a BUS bus. Those skilled in the art will understand that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0024] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0025] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the network distribution method of the charging station in the embodiment of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, realizing the network distribution method of the charging station mentioned above. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0026] The transmission module 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission module 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission module 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0027] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .

[0028] It should be noted that, in some optional embodiments, the above Figure 1 The computer terminal shown may include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of hardware elements and software elements. It should be noted that Figure 1This is merely one example of a particular embodiment and is intended to illustrate the types of components that may be present in the computer terminal described above.

[0029] In the above operating environment, an embodiment of the present application provides an embodiment of a network distribution method for a charging station. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0030] Figure 2 is a flow chart of a network distribution method for a charging station according to an embodiment of the present application, such as Figure 2 As shown, the method comprises the following steps:

[0031] Step S202: Acquire historical charging data corresponding to the vehicle used by the target object, wherein the historical charging data at least includes the original power distribution strategy of the charging station.

[0032] In the above step S202, the historical charging data includes not only the original power distribution strategy of the charging station, but also the following: the charging time interval of the user (i.e. the above target object), the location of the user before charging, the road traffic conditions before charging, the charging time, the location of the charging station, etc. It should be noted that the above charging time interval of the user and the location of the user before charging can be understood as the charging time interval of the vehicle used by the user (such as an electric car) and the location of the vehicle used by the user before charging.

[0033] Step S204, determining a spatial domain viscosity coefficient and a temporal domain viscosity coefficient based on historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the selection of the charging station, and the temporal domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the selection of the charging station.

[0034] In the above step S204, the spatial domain viscosity coefficient and the time domain viscosity coefficient are two important indicators obtained by analyzing historical charging data, which reveal the behavior patterns and preferences of electric vehicle users when choosing charging stations from the two dimensions of space and time respectively. The spatial domain viscosity coefficient can reflect the user's tendency to choose a charging station in a specific geographical location. For example, based on the user's GPS data or vehicle driving trajectory, combined with the charging record, the probability distribution of users choosing charging stations in different areas can be calculated. For example, if a user frequently chooses a nearby charging station in a commercial area, but is more inclined to choose a home charging pile or a nearby public charging station in a residential area, then it can be considered that the user has a higher spatial domain viscosity coefficient in the commercial area. The time domain viscosity coefficient reflects the user's consideration and preference for charging time when choosing a charging station in different time periods. For example, the difference in charging time of different charging stations in the same time period can be compared to derive the user's sensitivity to charging time when choosing a charging station.

[0035] Step S206, determining the charging load safety region of the charging station according to the spatial domain viscosity coefficient and the temporal domain viscosity coefficient.

[0036] In the above step S206, based on the spatial domain viscosity coefficient, the distribution of charging loads of charging stations in different geographical locations can be determined: for example, in high-viscosity areas, the charging load may be high because users frequently choose nearby charging stations; in contrast, the charging demand in low-viscosity areas may be more dispersed or insufficient. Time domain viscosity coefficient During peak hours, since users tend to choose fast charging stations with fast charging speeds, the charging load of these stations may increase sharply, and during non-peak hours, the charging load is relatively low. By comprehensively considering the spatial domain viscosity coefficient and the time domain viscosity coefficient, the total charging load required by the user is determined, and then the charging load safety domain of the charging station is determined.

[0037] Step S208: adjusting the original power distribution strategy according to the charging load safety domain to obtain the target power distribution strategy of the charging station.

[0038] In the above step S208, the charging load safety domain refers to the maximum charging load range that can be tolerated while ensuring the safe operation of the charging station. This range is based on the analysis of historical charging data, taking into account the spatial domain viscosity coefficient (the relationship between geographical location and charging station selection) and the time domain viscosity coefficient (the relationship between charging time and charging station selection), as well as the carrying capacity of the power grid, equipment reliability, emergency response capabilities and other factors. After obtaining the charging load safety domain, it is necessary to conduct a comprehensive evaluation of the current original distribution strategy, such as evaluating whether the existing distribution system can meet the maximum load demand within the charging load safety domain. If the original distribution system cannot meet the demand within the charging load safety domain, it is necessary to expand or upgrade. For example, increase the capacity of the transformer, replace high-efficiency distribution equipment, optimize the cable layout, etc., so as to obtain the target distribution strategy of the charging station.

[0039] Through the above steps S202 to S208, the purpose of optimizing the power distribution strategy of the charging station is achieved, thereby achieving the technical effect of improving the operating efficiency of the charging station, and further solving the technical problem that the location of the charging pile in the related technology mainly considers the charging electricity price and the travel distance required for charging, but often ignores the impact of the user's charging habits on the charging behavior. The following is a detailed description.

[0040] In step S204 of the above-mentioned charging station distribution method, the spatial domain viscosity coefficient is determined based on the historical charging data, including: obtaining the first time duration of the first vehicle from the starting point to the end point where each charging station is located in the historical charging data to obtain a first time duration sequence, wherein the first time duration sequence is determined by the first time duration, the first vehicle is a vehicle used by any target object, and the positions of the starting point and the end point are different; determining a first minimum time duration and a first maximum time duration from the first time duration sequence; determining a first total number of times the first vehicle is charged from the starting point to the end point from the historical charging data, determining a second total number of times the first vehicle is charged from the starting point, and determining the total number of times the first vehicle is charged in the historical charging data; determining the spatial domain viscosity coefficient corresponding to the first vehicle based on the first time duration, the first minimum time duration, the first maximum time duration, the first total number of times, the second total number of times and the total number of times of charging.

[0041] In an embodiment of the present application, the historical charging data includes information such as the starting point location of each charging, the location of the selected charging station (end point), the charging time, and the charging amount. For any vehicle used by a target object (herein referred to as the first vehicle), the driving time from the starting point of the vehicle to the end point where each charging station is located is extracted from the historical charging data to form a first time sequence. Each element in this sequence (i.e., the first time) represents the driving time from the starting point to a specific charging station. In the first time sequence, the shortest driving time is found as the first minimum time, which represents the fastest reachable time from the starting point to a charging station. Similarly, the longest driving time is found as the first maximum time, which represents the farthest or most time-consuming path from the starting point to a charging station. The total number of times the first vehicle is charged from the starting point to the end point (i.e., the charging station actually selected for charging) is counted, i.e., the first total number, which reflects the actual charging behavior frequency of the vehicle between the starting point and the specific charging station. The total number of times the first vehicle is charged from the starting point is counted, i.e., the second total number. The total number of charging times of the first vehicle in the historical charging data is counted, for example, including charging behaviors starting from all possible starting points, to obtain the total number of charging times. The spatial domain viscosity coefficient corresponding to the first vehicle is determined according to the first duration, the first minimum duration, the first maximum duration, the first total number of times, the second total number of times and the total number of charging times.

[0042] The following is an explanation of the process of determining the viscosity coefficient in the spatial domain by combining a specific formula:

[0043] Use Dijkstra method to sort the time (i.e. the first duration) of the i-th vehicle (i.e. the first vehicle) from the current position p (i.e. the starting point) to each charging station. The time is from short to long: D i,p,1 , D i,p,2 ,……,D i,p,c , where c is the total number of charging stations.

[0044]

[0045] Among them, y i,1 is the spatial domain viscosity coefficient of user i (i.e. the electric car used by the user), or the spatial domain viscosity coefficient corresponding to the first vehicle, p is the starting point of vehicle charging, q is the charging end point (i.e. the location of the charging station), and m is the total number of nodes in the study area D. p,q is the total number of times the i-th vehicle charges from node p to node q, that is, the first total number mentioned above, O p is the total number of times the i-th vehicle starts charging from node p, that is, the second total number mentioned above, and O is the total number of times the i-th vehicle is charged in the historical records, that is, the total number of times charged above. represents the first time duration for the i-th vehicle to charge from node p to node q, represents the first minimum duration mentioned above, Indicates the first maximum duration mentioned above.

[0046] In the above steps, obtaining the first duration of the first vehicle from the starting point to the end point where each charging station is located in the historical charging data includes: obtaining a road network topology map corresponding to all nodes, wherein the nodes in the road network topology map at least include the starting point where the first vehicle is located and the end point where each charging station is located, and the road network topology map is used to represent the connection relationship between the nodes; determining the intermediate nodes passed from the starting point to the end point in turn from the road network topology map, and determining the average travel time between each two nodes in the order of the starting point, the intermediate nodes and the end point; determining the first duration based on the average travel time between each two nodes among the starting point, the intermediate nodes and the end point.

[0047] In the above steps, the average travel time between every two nodes is determined in turn, including: obtaining the first travel time of all vehicles passing through the section where the first node and the second node are located, and determining the total number of vehicles passing through the section where the first node and the second node are located, wherein the first node and the second node are any two directly connected nodes among the starting point, the intermediate node and the end point; based on the first travel time and the total number of vehicles, determine the average travel time between the first node and the second node.

[0048] In the embodiment of the present application, the process of obtaining the first duration is explained through the following example.

[0049] Figure 3 is a road network topology diagram according to an embodiment of the present application, Figure 3 It contains 4 nodes, with node 1 as the starting point of the first vehicle, and nodes 2-4 as the end points of the charging stations. If the time from node 1 to node 2 needs to be determined, the intermediate nodes include nodes 4 and 3, which correspond to 3 paths, path 1: node 1→node 2; path 2: node 1→node 4→node 2; path 3: node 1→node 4→node 3→node 2. After determining the average travel time of adjacent nodes in each path, add the average travel time to obtain the first time. In an optional embodiment, the average travel time of adjacent nodes in each path can also be added and the average value is taken to obtain the first time.

[0050] Figure 3 The Dijkstra matrix corresponding to the road network topology is as follows:

[0051]

[0052] Where D is the improved Dijkstra matrix, It represents the average travel time of the road section from node i to node j, which can be used Indicates that k represents the road section from node i to node j. It can be calculated by the following formula:

[0053]

[0054] Where n is the total number of electric vehicles on the kth road section, that is, the total number of vehicles mentioned above, t k,i is the average travel time of the i-th vehicle on the k-th road section, that is, the first travel time mentioned above, Represents the sum of the first travel time of all vehicles.

[0055] In step S204 of the network distribution method of the above-mentioned charging station, the time domain viscosity coefficient is determined based on the historical charging data, including: determining the charging time corresponding to the first vehicle at each charging moment from the historical charging data, wherein the first vehicle is a vehicle used by any target object; determining a first variance of the charging time corresponding to the first vehicle, and determining a second variance of the charging moment corresponding to the first vehicle; determining a first maximum variance from a first variance set, and determining a second maximum variance from a second variance set, wherein the first variance set is determined by the first variance of the charging time corresponding to all vehicles, and the second variance set is determined by the second variance of the charging moment corresponding to all vehicles; determining the time domain viscosity coefficient corresponding to the first vehicle based on the first maximum variance, the second maximum variance, the first variance, and the second variance.

[0056] In the embodiment of the present application, the charging time can be represented by T, the charging time can be represented by a, and the time domain viscosity coefficient is determined by the following formula:

[0057]

[0058] in, represents the time domain viscosity coefficient of user i (or the electric vehicle used by the user), represents the first variance corresponding to the first vehicle i, represents the second variance corresponding to the first vehicle i, represents the first largest variance mentioned above, represents the second largest variance mentioned above.

[0059] In step S206 of the above-mentioned charging station distribution method, the charging load safety domain of the charging station is determined according to the spatial domain viscosity coefficient and the time domain viscosity coefficient, including: when the spatial domain viscosity coefficient of the first vehicle is less than or equal to the first value, and the time domain viscosity coefficient of the first vehicle is less than or equal to the second value, it is determined that the charging behavior of the first vehicle belongs to the first type, and the first vehicle is a vehicle used by any target object; when the spatial domain viscosity coefficient of the first vehicle is less than or equal to the first value, and the time domain viscosity coefficient of the first vehicle is greater than the second value, it is determined that the charging behavior of the first vehicle belongs to the second type; when the spatial domain viscosity coefficient of the first vehicle is greater than the first value, and the time domain viscosity coefficient of the first vehicle is greater than the second value, When the time domain viscosity coefficient is less than or equal to the second value, it is determined that the charging behavior of the first vehicle belongs to the third type; when the spatial domain viscosity coefficient of the first vehicle is greater than the first value and the time domain viscosity coefficient of the first vehicle is greater than the second value, it is determined that the charging behavior of the first vehicle belongs to the fourth type; a first charging load corresponding to the first type, a second charging load corresponding to the second type, a third charging load corresponding to the third type, and a fourth charging load corresponding to the fourth type are obtained from historical charging data; a total charging load is determined based on the first charging load, the second charging load, the third charging load, and the fourth charging load; a charging load safety domain is determined based on the total charging load and the charging deviation.

[0060] In the embodiment of the present application, users may be classified according to the ranges to which the spatial domain viscosity coefficient and the temporal domain viscosity coefficient belong, as follows:

[0061]

[0062] Among them, L i is the charging load corresponding to the label of user i, L1 represents the charging load corresponding to users of the non-sticky spatial domain type and non-sticky time domain type (i.e. the first type mentioned above), i.e. the first charging load mentioned above, L2 represents the charging load corresponding to users of the non-sticky spatial domain type and sticky time domain type (i.e. the second type mentioned above), i.e. the second charging load mentioned above, L3 represents the charging load corresponding to users of the sticky spatial domain type and non-sticky time domain type (i.e. the third type mentioned above), i.e. the third charging load mentioned above, and L4 represents the charging load corresponding to users of the sticky spatial domain type and sticky time domain type (i.e. the fourth type mentioned above).

[0063] The total charging load L is calculated by the following formula:

[0064]

[0065] in, The corresponding proportional weights of each type of user.

[0066] Charging load safety domain The corresponding calculation formula is as follows:

[0067]

[0068] in, The fluctuation range of the proportion of various types of users can be artificially adjusted according to security requirements. Set a value, such as 10%, etc.

[0069] In step S208 of the network distribution method of the above-mentioned charging station, the original power distribution strategy is adjusted according to the charging load safety domain to obtain the target power distribution strategy of the charging station, including: obtaining the original charge capacity from the original power distribution strategy of the target charging station, wherein the target charging station is any charging station used by the target object; comparing the original charge capacity and the charging load safety domain to obtain a comparison result; when the comparison result indicates that the difference between the maximum value of the charging load safety domain and the original charge capacity is greater than a preset threshold, the original power distribution strategy of the target charging station is adjusted by increasing the original charge capacity or increasing the number of cables of the target charging station to obtain the corresponding target power distribution strategy of the target charging station.

[0070] In the embodiment of the present application, it is necessary to clarify the original power distribution strategy of the target charging station (i.e., the charging station that the user is currently using or planning to use), especially its original charge capacity. The original charge capacity refers to the maximum charging power or power that the charging station can provide simultaneously under the current power distribution strategy, and is the basis for evaluating the load capacity of the charging station. Compare the original charge capacity with the charging load safety domain. The charging load safety domain is determined based on factors such as the design parameters, equipment performance, grid connection conditions and safety specifications of the charging station, and represents the maximum charging load range that the charging station can carry under the premise of ensuring safety and efficiency. By comparison, it can be evaluated whether the current power distribution strategy can meet the charging demand that may increase in the future while ensuring the safety of the charging process. If the comparison result shows that the difference between the maximum value of the charging load safety domain and the original charge capacity is greater than the preset threshold, it means that the original charge capacity under the current power distribution strategy is insufficient to cope with the charging demand that may increase in the future, or there is a safety hazard under the current demand. At this time, the original power distribution strategy needs to be adjusted in one of the following ways: 1. Increase the original charge capacity: For example, by upgrading the charging equipment, increasing the transformer capacity or optimizing the power distribution strategy, etc., to improve the overall load capacity of the charging station. 2. Increase the number of cables in the target charging station: If physical conditions permit, increasing the number of cables in the charging station can expand the number of vehicles that can be charged at the same time, thereby improving the service capacity of the charging station. After the above adjustments, the target power distribution strategy should be able to better meet charging needs and improve charging efficiency while ensuring charging safety.

[0071] Figure 4 is a structural diagram of a network distribution device of a charging station according to an embodiment of the present application, such as Figure 4As shown, the device comprises:

[0072] An acquisition module 40 is used to acquire historical charging data corresponding to the vehicle used by the target object, wherein the historical charging data at least includes the original power distribution strategy of the charging station;

[0073] A first determination module 42 is used to determine a spatial domain viscosity coefficient and a temporal domain viscosity coefficient based on historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the selection of the charging station, and the temporal domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the selection of the charging station;

[0074] A second determination module 44, configured to determine a charging load safety region of the charging station according to the spatial domain viscosity coefficient and the time domain viscosity coefficient;

[0075] The adjustment module 46 is used to adjust the original power distribution strategy according to the charging load safety domain to obtain the target power distribution strategy of the charging station.

[0076] Through the acquisition module 40, the first determination module 42, the second determination module 44 and the adjustment module 46 in the distribution network device of the above-mentioned charging station, the purpose of optimizing the power distribution strategy of the charging station is achieved, thereby realizing the technical effect of improving the operating efficiency of the charging station, and further solving the technical problem that the site selection of charging piles in the related technology mostly considers the charging electricity price and the travel distance required for charging but often ignores the impact of the user's charging habits on the charging behavior.

[0077] In the first determination module in the distribution network device of the above-mentioned charging station, the first determination module is also used to obtain the first duration of the first vehicle from the starting point to the end point where each charging station is located in the historical charging data, and obtain a first duration sequence, wherein the first duration sequence is determined by the first duration, the first vehicle is a vehicle used by any target object, and the positions of the starting point and the end point are different; determine the first minimum duration and the first maximum duration from the first duration sequence; determine the first total number of times the first vehicle is charged from the starting point to the end point from the historical charging data, determine the second total number of times the first vehicle is charged from the starting point, and determine the total number of times the first vehicle is charged in the historical charging data; determine the spatial domain viscosity coefficient corresponding to the first vehicle based on the first duration, the first minimum duration, the first maximum duration, the first total number, the second total number and the total number of charging times.

[0078] In the first determination module in the distribution network device of the above-mentioned charging station, the first determination module is also used to obtain a road network topology map corresponding to all nodes, wherein the nodes in the road network topology map include at least the starting point where the first vehicle is located and the end point where each charging station is located, and the road network topology map is used to represent the connection relationship between the nodes; the intermediate nodes passed from the starting point to the end point are determined in sequence from the road network topology map, and the average travel time between each two nodes is determined in sequence in the order of the starting point, the intermediate nodes and the end point; the first time is determined based on the average travel time between each two nodes among the starting point, the intermediate nodes and the end point.

[0079] In the first determination module in the distribution network device of the above-mentioned charging station, the first determination module is also used to obtain the first travel time of all vehicles passing through the section where the first node and the second node are located, and to determine the total number of vehicles passing through the section where the first node and the second node are located, wherein the first node and the second node are any two directly connected nodes among the starting point, the intermediate node and the end point; based on the first travel time and the total number of vehicles, the average travel time between the first node and the second node is determined.

[0080] In the first determination module in the distribution network device of the above-mentioned charging station, the first determination module is also used to determine the charging time corresponding to the first vehicle at each charging moment from the historical charging data, wherein the first vehicle is a vehicle used by any target object; determine the first variance of the charging time corresponding to the first vehicle, and determine the second variance of the charging moment corresponding to the first vehicle; determine the first maximum variance from the first variance set, and determine the second maximum variance from the second variance set, wherein the first variance set is determined by the first variance of the charging time corresponding to all vehicles, and the second variance set is determined by the second variance of the charging moment corresponding to all vehicles; determine the time domain viscosity coefficient corresponding to the first vehicle based on the first maximum variance, the second maximum variance, the first variance, and the second variance.

[0081] In the second determination module in the distribution network device of the above-mentioned charging station, the second determination module is also used to determine that the charging behavior of the first vehicle belongs to the first type when the spatial domain viscosity coefficient of the first vehicle is less than or equal to the first value, and the time domain viscosity coefficient of the first vehicle is less than or equal to the second value, and the first vehicle is a vehicle used by any target object; when the spatial domain viscosity coefficient of the first vehicle is less than or equal to the first value, and the time domain viscosity coefficient of the first vehicle is greater than the second value, determine that the charging behavior of the first vehicle belongs to the second type; when the spatial domain viscosity coefficient of the first vehicle is greater than the first value, and the time domain viscosity coefficient of the first vehicle is less than or equal to the second value When the first vehicle has a certain value, the charging behavior of the first vehicle is determined to be of the third type. When the spatial domain viscosity coefficient of the first vehicle is greater than the first value and the time domain viscosity coefficient of the first vehicle is greater than the second value, the charging behavior of the first vehicle is determined to be of the fourth type. The first charging load corresponding to the first type, the second charging load corresponding to the second type, the third charging load corresponding to the third type and the fourth charging load corresponding to the fourth type are obtained from the historical charging data. The total charging load is determined based on the first charging load, the second charging load, the third charging load and the fourth charging load. The charging load safety domain is determined based on the total charging load and the charging deviation.

[0082] In the adjustment module in the distribution network device of the above-mentioned charging station, the adjustment module is also used to obtain the original charge capacity from the original power distribution strategy of the target charging station, wherein the target charging station is any charging station used by the target object; compare the original charge capacity and the charging load safety domain to obtain a comparison result; when the comparison result indicates that the difference between the maximum value of the charging load safety domain and the original charge capacity is greater than a preset threshold, the original power distribution strategy of the target charging station is adjusted by increasing the original charge capacity or increasing the number of cables of the target charging station to obtain the corresponding target power distribution strategy of the target charging station.

[0083] It should be noted that Figure 4 The distribution network device of the charging station shown is used to perform Figure 2 The network distribution method of the charging station shown in the figure, therefore the relevant explanations and instructions in the above-mentioned network distribution method of the charging station are also applicable to the network distribution device of the charging station, and will not be repeated here.

[0084] An embodiment of the present application also provides an electronic device, including: a memory for storing program instructions; a processor, connected to the memory, for executing program instructions to implement the following functions: obtaining historical charging data corresponding to a vehicle used by a target object, wherein the historical charging data at least includes an original power distribution strategy of a charging station; determining a spatial domain viscosity coefficient and a time domain viscosity coefficient based on the historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the selection of a charging station, and the time domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the selection of a charging station; determining a charging load safety domain of the charging station based on the spatial domain viscosity coefficient and the time domain viscosity coefficient; adjusting the original power distribution strategy based on the charging load safety domain to obtain a target power distribution strategy of the charging station.

[0085] It should be noted that the above electronic equipment is used to execute Figure 2 The network configuration method of the charging station shown in the figure, therefore the relevant explanations and instructions in the above-mentioned network configuration method of the charging station are also applicable to the electronic device, and will not be repeated here.

[0086] An embodiment of the present application further provides a non-volatile storage medium, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the above-mentioned charging station network configuration method by running the computer program.

[0087] An embodiment of the present application further provides a computer program product, including computer instructions, which, when executed by a processor, implement the steps of the charging station network distribution method in each embodiment of the present application.

[0088] The embodiments of the present application also provide a computer program, which, when executed by a processor, implements the steps of the charging station network distribution method in each embodiment of the present application.

[0089] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0090] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0091] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0092] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0093] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0094] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc., which can store program code.

[0095] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A charging station network distribution method, characterized in that: include: Acquire historical charging data corresponding to the vehicle used by the target object, wherein the historical charging data at least includes the original power distribution strategy of the charging station; Determine a spatial domain viscosity coefficient and a temporal domain viscosity coefficient according to the historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the selection of the charging station, and the temporal domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the selection of the charging station; Determining a charging load safety domain of the charging station according to the spatial domain viscosity coefficient and the time domain viscosity coefficient; The original power distribution strategy is adjusted according to the charging load safety domain to obtain a target power distribution strategy for the charging station.

2. The method according to claim 1, characterized in that Determining the spatial domain viscosity coefficient according to the historical charging data includes: Obtaining a first duration from a starting point to a destination of each charging station in the historical charging data, to obtain a first duration sequence, wherein the first duration sequence is determined by the first duration, the first vehicle is a vehicle used by any target object, and the starting point and the destination are at different locations; Determine a first minimum duration and a first maximum duration from the first duration sequence; Determine from the historical charging data a first total number of times the first vehicle is charged from the starting point to the end point, determine a second total number of times the first vehicle is charged from the starting point, and determine a total number of times the first vehicle is charged in the historical charging data; A spatial domain viscosity coefficient corresponding to the first vehicle is determined based on the first duration, the first minimum duration, the first maximum duration, the first total number of times, the second total number of times, and the total number of charging times.

3. The method according to claim 2, characterized in that Obtaining a first duration of a first vehicle from a starting point to a destination where each charging station is located in the historical charging data includes: Obtaining a road network topology map corresponding to all nodes, wherein the nodes in the road network topology map at least include a starting point where the first vehicle is located and an end point where each charging station is located, and the road network topology map is used to represent a connection relationship between each node; Determine the intermediate nodes from the starting point to the end point in sequence from the road network topology map, and determine the average travel time between every two nodes in sequence according to the order of the starting point, the intermediate nodes and the end point; The first duration is determined according to an average travel time between every two nodes among the starting point, the intermediate node and the end point.

4. The method according to claim 3, characterized in that Determine the average travel time between each two nodes in turn, including: Obtaining a first travel time of all vehicles passing through a road section where a first node and a second node are located, and determining a total number of vehicles passing through the road section where the first node and the second node are located, wherein the first node and the second node are any two directly connected nodes among the starting point, the intermediate node, and the end point; An average travel time between the first node and the second node is determined based on the first travel time and the total number of vehicles.

5. The method according to claim 1, characterized in that Determining a time domain viscosity coefficient according to the historical charging data includes: Determining a charging time corresponding to a first vehicle at each charging moment from the historical charging data, wherein the first vehicle is a vehicle used by any target object; determining a first variance of a charging duration corresponding to the first vehicle, and determining a second variance of a charging time corresponding to the first vehicle; Determine a first maximum variance from the first variance set, and determine a second maximum variance from the second variance set, wherein the first variance set is determined by first variances of charging times corresponding to all vehicles, and the second variance set is determined by second variances of charging times corresponding to all vehicles; A time-domain viscosity coefficient corresponding to the first vehicle is determined according to the first maximum variance, the second maximum variance, the first variance, and the second variance.

6. The method according to claim 1, characterized in that Determining the charging load safety domain of the charging station according to the spatial domain viscosity coefficient and the time domain viscosity coefficient includes: When the spatial domain viscosity coefficient of the first vehicle is less than or equal to a first value, and the time domain viscosity coefficient of the first vehicle is less than or equal to a second value, it is determined that the charging behavior of the first vehicle belongs to the first type, and the first vehicle is a vehicle used by any target object; When the spatial domain viscosity coefficient of the first vehicle is less than or equal to the first value, and the time domain viscosity coefficient of the first vehicle is greater than the second value, determining that the charging behavior of the first vehicle belongs to the second type; When the spatial domain viscosity coefficient of the first vehicle is greater than the first value, and the time domain viscosity coefficient of the first vehicle is less than or equal to the second value, determining that the charging behavior of the first vehicle belongs to the third type; When the spatial domain viscosity coefficient of the first vehicle is greater than the first value, and the time domain viscosity coefficient of the first vehicle is greater than the second value, determining that the charging behavior of the first vehicle belongs to the fourth type; Acquire, from the historical charging data, a first charging load corresponding to the first type, a second charging load corresponding to the second type, a third charging load corresponding to the third type, and a fourth charging load corresponding to the fourth type; determining a total charging load according to the first charging load, the second charging load, the third charging load, and the fourth charging load; The charging load safety domain is determined according to the total charging load and the charging deviation.

7. The method according to claim 1, characterized in that Adjusting the original power distribution strategy according to the charging load safety domain to obtain the target power distribution strategy of the charging station includes: Acquire an original charge capacity from an original power distribution strategy of a target charging station, wherein the target charging station is any charging station used by the target object; Comparing the original charge capacity with the charging load safety domain to obtain a comparison result; When the comparison result indicates that the difference between the maximum value of the charging load safety domain and the original charge capacity is greater than a preset threshold, the original power distribution strategy of the target charging station is adjusted by increasing the original charge capacity or increasing the number of cables of the target charging station to obtain the corresponding target power distribution strategy of the target charging station.

8. A network distribution device for a charging station, characterized in that: include: An acquisition module, used to acquire historical charging data corresponding to the vehicle used by the target object, wherein the historical charging data at least includes the original power distribution strategy of the charging station; A first determination module is used to determine a spatial domain viscosity coefficient and a time domain viscosity coefficient according to the historical charging data, wherein the spatial domain viscosity coefficient is used to represent the relationship between the location of the vehicle used by the target object and the selection of the charging station, and the time domain viscosity coefficient is used to represent the relationship between the charging time of the vehicle used by the target object and the selection of the charging station; A second determination module, configured to determine a charging load safety region of the charging station according to the spatial domain viscosity coefficient and the time domain viscosity coefficient; The adjustment module is used to adjust the original power distribution strategy according to the charging load safety domain to obtain the target power distribution strategy of the charging station.

9. An electronic device, characterized in that: include: A memory for storing program instructions; A processor is connected to the memory and is used to execute program instructions for implementing the following functions: obtaining historical charging data corresponding to a vehicle used by a target object, wherein the historical charging data at least includes an original power distribution strategy of a charging station; determining a spatial domain viscosity coefficient and a temporal domain viscosity coefficient based on the historical charging data, wherein the spatial domain viscosity coefficient is used to represent a relationship between a location of the vehicle used by the target object and a charging station selection, and the temporal domain viscosity coefficient is used to represent a relationship between a charging time of the vehicle used by the target object and the charging station selection; determining a charging load safety domain of the charging station based on the spatial domain viscosity coefficient and the temporal domain viscosity coefficient; and adjusting the original power distribution strategy based on the charging load safety domain to obtain a target power distribution strategy of the charging station.

10. A computer program product comprising computer instructions, characterized in that: When the computer instructions are executed by the processor, the network distribution method of the charging station described in any one of claims 1 to 7 is implemented.

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