Intelligent power distribution control device and method for power distribution cabinet

Abstract

The present invention discloses an intelligent power distribution control device and method for a power distribution cabinet, which relates to the field of power distribution control, and includes: an environmental information acquisition module, a database matching module, a power distribution module, a charging planning module, a charging plan sending module, a user receiving module, a user demand input module, and a user charging plan selection module; the intelligent power distribution control device and method for a power distribution cabinet realizes real-time power switching of a power distribution cabinet in a high-speed service area through a power distribution module, thereby ensuring the charging power of a vehicle being charged by the power distribution cabinet while allowing more power distribution cabinets to be selected for vehicles to be charged, and at the same time, the charging plan of the vehicle to be charged can be reasonably planned through the charging planning module, and at the same time, it can be ensured that the optimal driving route and the shortest charging waiting time of the vehicle to be charged are considered simultaneously when performing charging planning, thereby realizing the path planning of the power distribution cabinet and the charging time planning.

Description

Technical Field

[0001] The present invention relates to power distribution control technology, and in particular to an intelligent power distribution control device and method for a power distribution cabinet. Background Art

[0002] In the context of dual carbon, transportation electrification has been recognized as an important carbon reduction action route in the transportation sector. The rapid growth of new energy vehicles and the lagging construction of distribution networks have brought great pressure to the charging service capacity of highway service areas. Highway service areas usually set up multiple distribution cabinets in the service area for new energy vehicles to charge. This setting will result in that when vehicles of different brands need to charge, in order to ensure charging efficiency, they need to choose distribution cabinets with the same charging power as the brand of cars for charging. At the same time, the same distribution cabinet is prone to uneven charging power distribution when charging multiple cars, resulting in different charging times when the cars are charged in the same distribution cabinet, which leads to user dissatisfaction with the distribution cabinet. Summary of the invention

[0003] The object of the present invention is to provide an intelligent power distribution control device and method for a power distribution cabinet to solve the above-mentioned deficiencies in the prior art.

[0004] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent power distribution control device for a power distribution cabinet, comprising: an environmental information acquisition module, a database matching module, a power allocation module, a charging planning module, a charging plan sending module, a user receiving module, a user demand input module, and a user charging plan selection module;

[0005] The environmental information collection module is used to collect environmental information of the current distribution cabinet location, and the environmental information includes weather information of the highway section where the current distribution cabinet is located, temperature information of the highway service area where the current distribution cabinet is located, vehicle information entering and leaving the highway service area where the current distribution cabinet is located, charging information of new energy vehicles in the highway service area where the current distribution cabinet is located, and charging vehicle information of the current distribution cabinet;

[0006] The database matching module is used to obtain the corresponding change in the discharge power of the distribution cabinet based on the environmental information collected by the environmental information collection module and the change in the discharge power of the current distribution cabinet, so as to obtain the current charging power of the distribution cabinet;

[0007] The power allocation module is used to allocate the charging power of the vehicle charged by the distribution cabinet based on the current charging vehicle information of the distribution cabinet and user needs, so as to obtain the optimal vehicle charging solution;

[0008] The charging planning module is used to generate a charging plan based on the environmental information collected by the environmental information collection module, the car charging plan output by the power allocation module, the optimal distribution cabinet matched by the database matching module, and the user charging demand information output by the user demand input module. The charging plan includes distribution cabinet path planning and charging time planning;

[0009] The charging plan sending module is used to send the charging plan generated by the charging planning module to the user receiving end;

[0010] The user receiving module is used to receive the charging plan sent by the charging plan sending module and display the plan to the user;

[0011] The user demand input module is used for the user to manually input user information, the user information includes the user's departure place, the user's destination, the user's planned arrival time, the user's vehicle information and the user's waiting time in the service area, the user's vehicle information includes the vehicle's current remaining power, the vehicle's charging rated power and the vehicle information power loss value;

[0012] The user charging plan selection module is used for the user to select the charging plan received by the user receiving module.

[0013] Furthermore, the charging planning module includes:

[0014] An information input module, which is used to input the vehicle information entering and leaving the high-speed service area where the power distribution cabinet is located, the weather information of the high-speed section where the power distribution cabinet is located, the user's departure place, the user's destination and the location information of the charging station collected by the environmental information collection module;

[0015] The travel path planning module is used to start from the starting road node i and traverse the nodes that are closest to it and have not been visited layer by layer, until it expands to the end point j, based on the matrix D representing the static traffic network model, where R = {i, ..., e, f, ..., j} represents the travel path set, and the Dijkstra algorithm is used to find the path set with the minimum travel time. The specific formula is as follows:

[0016]

[0017] Among them, L represents the total travel length of the travel path, l ij Represents the node closest to road node i and has not been visited;

[0018] Consider the time l that a vehicle takes to travel on a directly connected road ij at time t ij V ij (t) -1 , then the route obtained is the shortest travel path, the specific formula is as follows:

[0019]

[0020] A charging demand judgment module, which is used to judge whether the current vehicle needs to be charged;

[0021] The charging station selection module is used to first analyze the spatiotemporal information of the charging demand generated by the new energy vehicle users, and calculate the sum of the travel time from the current location to the charging station j and the travel time to the destination after charging at the charging station j according to the real-time traffic conditions, wherein the charging station selection model is:

[0022]

[0023] where F Tj is the comprehensive travel time of a new energy vehicle when it chooses to charge at charging station j; R1 is the shortest time-consuming path set for new energy vehicle users to travel from the charging demand point to the target charging station; R2 is the shortest time-consuming path set for users to travel to the destination after charging at the target charging station.

[0024] Furthermore, the power distribution module comprises:

[0025] A power collection module, which is used to collect the discharge power of the current distribution cabinet, the rated charging power of the vehicle to be charged, and the charging power of the vehicle currently being charged by the distribution cabinet;

[0026] A power adjustment module, which is used to adjust the charging power of the vehicle currently being charged by the power distribution cabinet, wherein the adjustment includes a positive adjustment and a negative adjustment, wherein the positive adjustment is to increase the charging power of the vehicle currently being charged by the power distribution cabinet, and the negative adjustment is to reduce the charging power of the vehicle currently being charged by the power distribution cabinet;

[0027] A power matching module, which is used to match the output power of the charging port of the power distribution cabinet in an idle state with the charging power of the vehicle to be charged;

[0028] The power prediction module is used to predict the discharge power of the corresponding distribution cabinet based on the temperature information of the service area where the distribution cabinet is located and the discharge power change of the current distribution cabinet through the distribution cabinet discharge power prediction algorithm.

[0029] Furthermore, the specific working steps of the charging planning module include:

[0030] A1, input multi-source data including traffic information, weather information, user travel information and charging station location information;

[0031] A2, using the Monte Carlo method to extract the initial location, first trip time of the day, initial power and travel destination according to the vehicle type, and planning the shortest driving route for the vehicle through the travel path planning module;

[0032] A3, based on the real-time unit mileage power consumption model, the dynamic charging demand judgment model calculates the remaining power of the electric vehicle at time t, and determines whether the remaining power of the vehicle reaches the charging threshold;

[0033] A4, if the new energy vehicle user has a charging demand at time t, record and analyze the spatiotemporal information of the charging demand, select the charging station with the shortest comprehensive travel time for charging according to the charging station selection model of the user's dynamic charging demand, and record the charging information;

[0034] A5, repeat the above steps A2 to A4, simulate a complete travel behavior of each new energy vehicle user, and predict the spatiotemporal distribution of charging demand.

[0035] Furthermore, the specific working steps of the power distribution module include:

[0036] B1, collect the rated charging power of the vehicle to be charged through the power collection module;

[0037] B2, collect the discharge power of the current distribution cabinet and the charging power of the vehicle currently charging the distribution cabinet through the power collection module, and calculate the discharge power of the charging port of the distribution cabinet that is currently in an idle state;

[0038] B3, collect the discharge power of the charging port of the distribution cabinet that is currently in an idle state and the temperature information of the service area where the distribution cabinet is located, and predict the corresponding distribution cabinet discharge power change through the power prediction module, and generate a distribution cabinet discharge power change curve;

[0039] B4, matching the output power of the charging port of the power distribution cabinet in an idle state with the charging power of the vehicle to be charged through the power matching module;

[0040] B5, transmitting the information of the charging ports of the power distribution cabinets in the idle state with the same matching results to the charging planning module, and determining whether the charging power of the vehicles currently charged by the power distribution cabinets with similar matching results can be adjusted. If the determination result is yes, executing step B6, if the determination result is no, the execution ends;

[0041] B6, adjust the charging power of the current charging vehicle of the distribution cabinet with similar matching results through the power adjustment module, so that the output power of the charging port of the distribution cabinet where the current charging vehicle is in an idle state is the same as the charging power of the vehicle to be charged, and transmit the charging port information to the charging planning module and the execution ends.

[0042] Furthermore, the environmental information collection module includes:

[0043] A high-speed section weather information collection module, which is used to collect weather information of the high-speed section in the service area where the power distribution cabinet is located;

[0044] A service area temperature information collection module, which is used to collect temperature information of the service area where the power distribution cabinet is located;

[0045] An in-and-out vehicle information collection module, the in-and-out vehicle information collection module is used for collecting information;

[0046] A new energy vehicle charging information collection module, which is used to collect charging information of new energy vehicles that are being charged, and the charging information includes the remaining charge of the new energy vehicle, the remaining charging time of the new energy vehicle, and the charging plan of the new energy vehicle;

[0047] The charging vehicle information collection module is used to collect information about vehicles currently being charged in the power distribution cabinet.

[0048] An intelligent power distribution control method for a power distribution cabinet, the power distribution control method specifically comprises the following steps:

[0049] S1, when setting off, the user enters the user's departure place, user's destination, user's planned arrival time, user's vehicle information, and the user's available waiting time in the service area in the user demand input module;

[0050] S2, reading the number of distribution cabinets between the user's departure point and the user's destination;

[0051] S3, judging the power distribution cabinet in an idle state according to the charging vehicle information of the current power distribution cabinet;

[0052] S4, obtaining the discharge power of the current idle distribution cabinet through the temperature information of the high-speed service area where the idle distribution cabinet is located and the discharge power change information of the distribution cabinet collected by the environmental information collection module;

[0053] S5, the power allocation module selects a distribution cabinet that meets the charging rated power of the vehicle to be charged and generates the optimal vehicle charging plan by comparing the discharge power of the current distribution cabinet in the idle state, the charging information of new energy vehicles in the high-speed service area where the current distribution cabinet is located, and the charging rated power of the vehicle to be charged;

[0054] S6, the charging planning module generates a distribution cabinet path plan by receiving the information of vehicles entering and leaving the high-speed service area where the current distribution cabinet is located, the current remaining power of the vehicle, and the power loss value of the vehicle information, and generates a charging time plan by receiving the charging information of new energy vehicles in the high-speed service area where the current distribution cabinet is located, and the information of vehicles entering and leaving the high-speed service area where the current distribution cabinet is located;

[0055] S7, sending the charging plan generated by the charging planning module to the user receiving end through the charging plan sending module;

[0056] S8, the user receiving module receives the charging plan sent by the charging plan sending module and displays the plan to the user;

[0057] S9, the user independently selects a suitable charging plan through the user charging plan selection module.

[0058] Compared with the prior art, the present invention provides an intelligent power distribution control device and method for a power distribution cabinet. The power distribution module compares the discharge power of the power distribution cabinet currently in an idle state, the charging information of new energy vehicles in the high-speed service area where the current power distribution cabinet is located, and the charging rated power of the vehicle to be charged, selects the power distribution cabinet that meets the charging rated power of the vehicle to be charged, and generates the optimal vehicle charging plan. The charging planning module receives the information of vehicles entering and leaving the high-speed service area where the current power distribution cabinet is located, the current remaining power of the vehicle, and the power loss value of the vehicle information to generate the distribution cabinet path planning. The charging time planning is generated by receiving the charging information of new energy vehicles in the high-speed service area where the current power distribution cabinet is located, and the information of vehicles entering and leaving the high-speed service area where the current power distribution cabinet is located. The plan sending module sends the charging plan generated by the charging planning module to the user receiving end. The user receiving module receives the charging plan sent by the charging plan sending module and displays the plan to the user. The user independently selects the appropriate charging plan through the user charging plan selection module. This setting can not only realize the real-time power switching of the distribution cabinet in the high-speed service area through the power allocation module, ensuring the charging power of the vehicle being charged by the distribution cabinet, but also allow the vehicles to be charged to have more distribution cabinets to choose from. At the same time, the charging plan module can reasonably plan the charging plan of the vehicles to be charged, and at the same time, it can ensure that the optimal driving route and the shortest charging waiting time of the vehicles to be charged are considered when carrying out the charging plan, so as to realize the distribution cabinet path planning and charging time planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0060] Figure 1 A schematic diagram of the overall structure provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0061] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0062] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0063] In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined. In addition, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal connection of two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0064] Example embodiments will be described more fully below with reference to the accompanying drawings, but the example embodiments may be embodied in different forms and should not be construed as limited to the embodiments set forth herein. On the contrary, the purpose of providing these embodiments is to make the present disclosure thorough and complete and to enable those skilled in the art to fully understand the scope of the present disclosure.

[0065] In the absence of conflict, the various embodiments of the present disclosure and the various features therein may be combined with each other.

[0066] As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0067] The terms used herein are only used to describe specific embodiments and are not intended to limit the present disclosure. As used herein, the singular forms "a", "an" and "the" are also intended to include the plural forms, unless the context clearly indicates otherwise. It will also be understood that when the terms "comprising" and / or "made of" are used in this specification, the presence of the features, wholes, steps, operations, elements and / or components is specified, but the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof is not excluded.

[0068] The embodiments described herein may be described with reference to plan views and / or cross-sectional views by means of idealized schematic diagrams of the present disclosure. Therefore, the example illustrations may be modified according to manufacturing techniques and / or tolerances. Therefore, the embodiments are not limited to the embodiments shown in the accompanying drawings, but include modifications of the configurations formed based on the manufacturing process. Therefore, the regions illustrated in the accompanying drawings have schematic properties, and the shapes of the regions shown in the figures illustrate the specific shapes of the regions of the elements, but are not intended to be limiting.

[0069] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and the present disclosure, and will not be interpreted as having an idealized or overly formal meaning unless explicitly defined as such herein.

[0070] See also Figure 1 , an intelligent power distribution control device for a power distribution cabinet, comprising: an environmental information acquisition module, a database matching module, a power allocation module, a charging planning module, a charging plan sending module, a user receiving module, a user demand input module, and a user charging plan selection module;

[0071] The environmental information collection module is used to collect environmental information of the current distribution cabinet location, including weather information of the highway section where the current distribution cabinet is located, temperature information of the highway service area where the current distribution cabinet is located, vehicle information entering and leaving the highway service area where the current distribution cabinet is located, charging information of new energy vehicles in the highway service area where the current distribution cabinet is located, and information of charging vehicles in the current distribution cabinet;

[0072] The database matching module is used to obtain the corresponding change in the discharge power of the distribution cabinet based on the environmental information collected by the environmental information collection module and the change in the discharge power of the current distribution cabinet, so as to obtain the current charging power of the distribution cabinet;

[0073] The power allocation module is used to allocate the charging power of the vehicle charged by the distribution cabinet based on the current charging vehicle information of the distribution cabinet and user needs, so as to obtain the optimal vehicle charging solution;

[0074] The charging planning module is used to generate a charging plan based on the environmental information collected by the environmental information collection module, the vehicle charging plan output by the power allocation module, the optimal distribution cabinet matched by the database matching module, and the user charging demand information output by the user demand input module. The charging plan includes the distribution cabinet path planning and the charging time planning;

[0075] The charging plan sending module is used to send the charging plan generated by the charging planning module to the user receiving end;

[0076] The user receiving module is used to receive the charging plan sent by the charging plan sending module and display the plan to the user;

[0077] The user demand input module is used for users to manually input user information, which includes the user's departure place, user's destination, user's planned arrival time, user's vehicle information, and the user's waiting time in the service area. The user's vehicle information includes the vehicle's current remaining power, the vehicle's charging rated power, and the vehicle's information power loss value;

[0078] The user charging plan selection module is used for the user to select the charging plan received by the user receiving module.

[0079] When setting off, the user inputs the user's departure place, user's destination, user's planned arrival time, user's vehicle information, and the user's waiting time in the service area in the user demand input module, reads the number of distribution cabinets between the user's departure place and the user's destination, and determines the distribution cabinet in an idle state through the charging vehicle information of the current distribution cabinet. The discharge power of the distribution cabinet currently in an idle state is obtained through the temperature information of the high-speed service area where the idle distribution cabinet is located and the discharge power change information of the distribution cabinet collected by the environmental information collection module, where the current distribution cabinet refers to the distribution cabinet currently being analyzed, which can be defined as any distribution cabinet between the user's departure place and the user's destination, and the idle distribution cabinet refers to the idle distribution cabinet between the user's departure place and the user's destination. The power allocation module compares the discharge power of the distribution cabinet currently in an idle state, the charging information of new energy vehicles in the high-speed service area where the current distribution cabinet is located, and the charging rated power of the vehicle to be charged, selects the distribution cabinet that meets the charging rated power of the vehicle to be charged, and generates the optimal vehicle charging plan, and the charging planning module is used to calculate the optimal charging plan. The block receives the information of vehicles entering and leaving the high-speed service area where the current distribution cabinet is located, the current remaining power of the vehicle, and the power loss value of the vehicle information to generate a distribution cabinet path plan, and generates a charging time plan by receiving the charging information of new energy vehicles in the high-speed service area where the current distribution cabinet is located, and the information of vehicles entering and leaving the high-speed service area where the current distribution cabinet is located. The charging plan generated by the charging planning module is sent to the user receiving end through the charging plan sending module. The user receiving module receives the charging plan sent by the charging plan sending module and displays the plan to the user. The user independently selects a suitable charging plan through the user charging plan selection module. This setting can not only realize the real-time power switching of the distribution cabinet in the high-speed service area through the power allocation module, and ensure the charging power of the vehicle being charged by the distribution cabinet, but also enable the vehicle to be charged to have more distribution cabinets to choose from. At the same time, the charging plan of the vehicle to be charged can be reasonably planned through the charging planning module. At the same time, it can ensure that the optimal driving route and the shortest charging waiting time of the vehicle to be charged are considered at the same time when carrying out the charging plan, so as to realize the distribution cabinet path planning and charging time planning.

[0080] The charging planning module includes:

[0081] The information entry module is used to input the vehicle information entering and leaving the high-speed service area where the power distribution cabinet is located, the weather information of the high-speed section where the power distribution cabinet is located, the user's departure place, the user's destination and the location information of the charging station collected by the environmental information collection module;

[0082] The travel path planning module is used to traverse the nodes closest to the starting road node i and have not been visited layer by layer, based on the matrix D representing the static traffic network model, until it expands to the end point j, where R = {i, ..., e, f, ..., j} represents the travel path set, and the Dijkstra algorithm is used to find the path set with the minimum travel time. The specific formula is as follows:

[0083]

[0084] Among them, L represents the total travel length of the travel path, l ij Represents the node closest to road node i and has not been visited;

[0085] Consider the time l that a vehicle takes to travel on a directly connected road ij at time t ij V ij (t) -1 , then the route obtained is the shortest travel path, the specific formula is as follows:

[0086]

[0087] A charging demand judgment module is used to judge whether the current vehicle needs to be charged;

[0088] The charging station selection module is used to first analyze the spatiotemporal information of the charging demand generated by new energy vehicle users, and calculate the sum of the travel time from the current location to charging station j and the travel time to the destination after charging at charging station j according to the real-time traffic conditions. The charging station selection model is:

[0089]

[0090] where F Tj is the comprehensive travel time when the new energy vehicle chooses to charge at charging station j; R1 is the shortest time-consuming path set of new energy vehicle users from the charging demand point to the target charging station; R2 is the shortest time-consuming path set of users to the destination after charging at the target charging station, T3 is the waiting time for users to charge at the target charging station, △T h1 represents the time required for new energy vehicle users to travel from the charging demand point to the target charging station, △T h2 It indicates the time required for new energy vehicle users to reach their destination after completing charging at the target charging station.

[0091] The power distribution module includes:

[0092] Power collection module, which is used to collect the discharge power of the current distribution cabinet, the rated charging power of the vehicle to be charged, and the charging power of the vehicle currently being charged by the distribution cabinet;

[0093] The power adjustment module is used to adjust the charging power of the vehicle currently being charged by the power distribution cabinet. The adjustment includes positive adjustment and reverse adjustment. The positive adjustment is to increase the charging power of the vehicle currently being charged by the power distribution cabinet, and the reverse adjustment is to reduce the charging power of the vehicle currently being charged by the power distribution cabinet.

[0094] A power matching module is used to match the output power of the charging port of the power distribution cabinet in an idle state with the charging power of the vehicle to be charged;

[0095] The power prediction module is used to predict the discharge power of the corresponding distribution cabinet based on the temperature information of the service area where the distribution cabinet is located and the discharge power change of the current distribution cabinet through the distribution cabinet discharge power prediction algorithm.

[0096] The specific working steps of the charging planning module include:

[0097] A1, input multi-source data including traffic information, weather information, user travel information and charging station location information;

[0098] A2, using the Monte Carlo method to extract the initial location, first trip time of the day, initial power and travel destination according to the vehicle type, and planning the shortest driving route for the vehicle through the travel path planning module;

[0099] A3, based on the real-time unit mileage power consumption model, the dynamic charging demand judgment model calculates the remaining power of the electric vehicle at time t, and determines whether the remaining power of the vehicle reaches the charging threshold;

[0100] A4, if the new energy vehicle user has a charging demand at time t, record and analyze the spatiotemporal information of the charging demand, select the charging station with the shortest comprehensive travel time for charging according to the charging station selection model of the user's dynamic charging demand, and record the charging information;

[0101] A5, repeat the above steps A2 to A4, simulate a complete travel behavior of each new energy vehicle user, and predict the spatiotemporal distribution of charging demand.

[0102] In this way, the multi-source data of traffic information, weather information, user travel information and charging station location information are input through the information entry module, the initial position, the first travel time of the day, the initial power and the travel destination are extracted according to the vehicle type through the travel path planning module using the Monte Carlo method, the shortest driving route of the vehicle is planned through the travel path planning module, the charging demand judgment module is based on the real-time unit mileage power consumption model, and the remaining power of the electric vehicle at time t is calculated by the dynamic charging demand judgment model to judge whether the remaining power of the vehicle reaches the charging threshold. If the user of the new energy vehicle generates a charging demand at time t, the spatiotemporal information of the charging demand is recorded and analyzed, and the charging station with the shortest comprehensive travel time is selected for charging according to the charging station selection model of the user's dynamic charging demand of the charging station selection module. The charging information is recorded, and the charging plan of the vehicle to be charged can be reasonably planned through the charging planning module. At the same time, it can be ensured that the optimal driving route and the shortest charging waiting time of the vehicle to be charged are considered when carrying out the charging planning, so as to realize the distribution cabinet path planning and charging time planning.

[0103] The specific working steps of the power distribution module include:

[0104] B1, collect the rated charging power of the vehicle to be charged through the power collection module;

[0105] B2, collect the discharge power of the current distribution cabinet and the charging power of the vehicle currently charging the distribution cabinet through the power collection module, and calculate the discharge power of the charging port of the distribution cabinet that is currently in an idle state;

[0106] B3, collect the discharge power of the charging port of the distribution cabinet that is currently in an idle state and the temperature information of the service area where the distribution cabinet is located, and predict the corresponding distribution cabinet discharge power change through the power prediction module, and generate a distribution cabinet discharge power change curve;

[0107] B4, matching the output power of the charging port of the power distribution cabinet in an idle state with the charging power of the vehicle to be charged through the power matching module;

[0108] B5, transmitting the information of the charging ports of the power distribution cabinets in the idle state with the same matching results to the charging planning module, and determining whether the charging power of the vehicles currently charged by the power distribution cabinets with similar matching results can be adjusted. If the determination result is yes, executing step B6, if the determination result is no, the execution ends;

[0109] B6, adjust the charging power of the current charging vehicle of the distribution cabinet with similar matching results through the power adjustment module, so that the output power of the charging port of the distribution cabinet where the current charging vehicle is in an idle state is the same as the charging power of the vehicle to be charged, and transmit the charging port information to the charging planning module and the execution ends.

[0110] This setting can collect the rated charging power of the car to be charged through the power acquisition module, collect the discharge power of the current distribution cabinet and the charging power of the vehicle currently charging the distribution cabinet through the power acquisition module, calculate the discharge power of the charging port of the distribution cabinet that is currently in an idle state, collect the discharge power of the charging port of the distribution cabinet that is currently in an idle state and the temperature information of the service area where the distribution cabinet is located, and predict the corresponding distribution cabinet discharge power change through the power prediction module, and generate the distribution cabinet discharge power change curve, match the output power of the distribution cabinet charging port in an idle state with the charging power of the vehicle to be charged through the power matching module, and transmit the information of the distribution cabinet charging port in an idle state with the same matching result to The charging planning module also determines whether the charging power of the vehicles currently being charged by the distribution cabinet with similar matching results can be adjusted. If the judgment result is yes, the charging power of the vehicles currently being charged by the distribution cabinet with similar matching results is adjusted through the power adjustment module, so that the output power of the charging port of the distribution cabinet with currently charging vehicles is the same as the charging power of the vehicle to be charged. The charging port information is transmitted to the charging planning module and the execution ends. If the judgment result is no, the execution ends. The power distribution module is used to realize real-time power switching of the distribution cabinet in the high-speed service area, so as to ensure the charging power of the vehicles being charged by the distribution cabinet while allowing the vehicles to be charged to have more distribution cabinets to choose from.

[0111] The environmental information collection module includes:

[0112] The high-speed section weather information collection module is used to collect weather information of the high-speed section in the service area where the power distribution cabinet is located;

[0113] The service area temperature information collection module is used to collect the temperature information of the service area where the power distribution cabinet is located;

[0114] In and out vehicle information collection module, the in and out vehicle information collection module is used for collection;

[0115] New energy vehicle charging information collection module, which is used to collect charging information of new energy vehicles that are being charged. The charging information includes the remaining amount of new energy vehicles, the remaining charging time of new energy vehicles, and the charging plan of new energy vehicles;

[0116] The charging vehicle information collection module is used to collect information about vehicles currently charging in the distribution cabinet.

[0117] An intelligent power distribution control method for a power distribution cabinet, the power distribution control method specifically comprises the following steps:

[0118] S1, when setting off, the user enters the user's departure place, user's destination, user's planned arrival time, user's vehicle information, and the user's available waiting time in the service area in the user demand input module;

[0119] S2, reading the number of distribution cabinets between the user's departure point and the user's destination;

[0120] S3, judging the power distribution cabinet in an idle state according to the charging vehicle information of the current power distribution cabinet;

[0121] S4, obtaining the discharge power of the current idle distribution cabinet through the temperature information of the high-speed service area where the idle distribution cabinet is located and the discharge power change information of the distribution cabinet collected by the environmental information collection module;

[0122] S5, the power allocation module selects a distribution cabinet that meets the charging rated power of the vehicle to be charged and generates the optimal vehicle charging plan by comparing the discharge power of the current distribution cabinet in the idle state, the charging information of new energy vehicles in the high-speed service area where the current distribution cabinet is located, and the charging rated power of the vehicle to be charged;

[0123] S6, the charging planning module generates a distribution cabinet path plan by receiving the information of vehicles entering and leaving the high-speed service area where the current distribution cabinet is located, the current remaining power of the vehicle, and the power loss value of the vehicle information, and generates a charging time plan by receiving the charging information of new energy vehicles in the high-speed service area where the current distribution cabinet is located, and the information of vehicles entering and leaving the high-speed service area where the current distribution cabinet is located;

[0124] S7, sending the charging plan generated by the charging planning module to the user receiving end through the charging plan sending module;

[0125] S8, the user receiving module receives the charging plan sent by the charging plan sending module and displays the plan to the user;

[0126] S9, the user independently selects a suitable charging plan through the user charging plan selection module.

[0127] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. An intelligent power distribution control device for a power distribution cabinet, characterized in that: include: Environmental information collection module, database matching module, power allocation module, charging planning module, charging plan sending module, user receiving module, user demand input module, user charging plan selection module; The environmental information collection module is used to collect environmental information of the current distribution cabinet location, and the environmental information includes weather information of the highway section where the current distribution cabinet is located, temperature information of the highway service area where the current distribution cabinet is located, vehicle information entering and leaving the highway service area where the current distribution cabinet is located, charging information of new energy vehicles in the highway service area where the current distribution cabinet is located, and charging vehicle information of the current distribution cabinet; The database matching module is used to obtain the corresponding discharge power change of the distribution cabinet based on the environmental information collected by the environmental information collection module and the discharge power change of the current distribution cabinet, and obtain the current charging power of the distribution cabinet through the discharge power change prediction model; The power allocation module is used to allocate the charging power of the vehicle charged by the distribution cabinet based on the current charging vehicle information of the distribution cabinet and user needs, so as to obtain the optimal vehicle charging solution; The charging planning module is used to generate a charging plan based on the environmental information collected by the environmental information collection module, the car charging plan output by the power allocation module, the optimal distribution cabinet matched by the database matching module, and the user charging demand information output by the user demand input module. The charging plan includes distribution cabinet path planning and charging time planning. The charging planning module includes: An information input module, which is used to input the vehicle information entering and leaving the high-speed service area where the power distribution cabinet is located, the weather information of the high-speed section where the power distribution cabinet is located, the user's departure place, the user's destination and the location information of the charging station collected by the environmental information collection module; The travel path planning module is used to start from the starting road node i and traverse the nodes that are closest to it and have not been visited layer by layer, until it expands to the end point j, based on the matrix D representing the static traffic network model, where R = {i, ..., e, f, ..., j} represents the travel path set, and the Dijkstra algorithm is used to find the path set with the minimum travel time. The specific formula is as follows: Among them, L represents the total travel length of the travel path, l ij Represents the node closest to road node i and has not been visited; Consider the time l that a vehicle takes to travel on a directly connected road ij at time t ij V ij (t) -1 , then the route obtained is the shortest travel path, the specific formula is as follows: A charging demand judgment module, which is used to judge whether the current vehicle needs to be charged; The charging station selection module is used to first analyze the spatiotemporal information of the charging demand generated by the new energy vehicle users, and calculate the sum of the travel time from the current location to the charging station j and the travel time to the destination after charging at the charging station j according to the real-time traffic conditions, wherein the charging station selection model is: where F Tj is the comprehensive travel time when the new energy vehicle chooses to charge at charging station j; R1 is the shortest time-consuming path set of new energy vehicle users from the charging demand point to the target charging station; R2 is the shortest time-consuming path set of users to the destination after charging at the target charging station, T3 is the waiting time for users to charge at the target charging station, △T h1 represents the time required for new energy vehicle users to travel from the charging demand point to the target charging station, △T h2 It indicates the time required for new energy vehicle users to reach their destination after completing charging at the target charging station; The specific working steps of the charging planning module include: A1, input multi-source data including traffic information, weather information, user travel information and charging station location information; A2, using the Monte Carlo method to extract the initial location, first trip time of the day, initial power and travel destination according to the vehicle type, and planning the shortest driving route for the vehicle through the travel path planning module; A3, based on the real-time unit mileage power consumption model, the dynamic charging demand judgment model calculates the remaining power of the electric vehicle at time t, and determines whether the remaining power of the vehicle reaches the charging threshold; A4, if the new energy vehicle user has a charging demand at time t, record and analyze the spatiotemporal information of the charging demand, select the charging station with the shortest comprehensive travel time for charging according to the charging station selection model of the user's dynamic charging demand, and record the charging information; A5, repeat the above steps A2 to A4, simulate a complete travel behavior of each new energy vehicle user, and predict the spatiotemporal distribution of charging demand; The charging plan sending module is used to send the charging plan generated by the charging planning module to the user receiving end; The user receiving module is used to receive the charging plan sent by the charging plan sending module and display the plan to the user; The user demand input module is used for the user to manually input user information, the user information includes the user's departure place, the user's destination, the user's planned arrival time, the user's vehicle information and the user's waiting time in the service area, the user's vehicle information includes the vehicle's current remaining power, the vehicle's charging rated power and the vehicle information power loss value; The user charging plan selection module is used for the user to select the charging plan received by the user receiving module.

2. The intelligent power distribution control device for a power distribution cabinet according to claim 1, characterized in that: The power distribution module comprises: A power collection module, which is used to collect the discharge power of the current distribution cabinet, the rated charging power of the vehicle to be charged, and the charging power of the vehicle currently being charged by the distribution cabinet; A power adjustment module, which is used to adjust the charging power of the vehicle currently being charged by the power distribution cabinet, wherein the adjustment includes a positive adjustment and a negative adjustment, wherein the positive adjustment is to increase the charging power of the vehicle currently being charged by the power distribution cabinet, and the negative adjustment is to reduce the charging power of the vehicle currently being charged by the power distribution cabinet; A power matching module, which is used to match the output power of the charging port of the power distribution cabinet in an idle state with the charging power of the vehicle to be charged; The power prediction module is used to predict the discharge power of the corresponding distribution cabinet based on the temperature information of the service area where the distribution cabinet is located and the discharge power change of the current distribution cabinet through the distribution cabinet discharge power prediction algorithm.

3. The intelligent power distribution control device for a power distribution cabinet according to claim 1, characterized in that: The specific working steps of the power distribution module include: B1, collect the rated charging power of the vehicle to be charged through the power collection module; B2, collect the discharge power of the current distribution cabinet and the charging power of the vehicle currently charging the distribution cabinet through the power collection module, and calculate the discharge power of the charging port of the distribution cabinet that is currently in an idle state; B3, collect the discharge power of the charging port of the distribution cabinet that is currently in an idle state and the temperature information of the service area where the distribution cabinet is located, and predict the corresponding distribution cabinet discharge power change through the power prediction module, and generate a distribution cabinet discharge power change curve; B4, matching the output power of the charging port of the power distribution cabinet in an idle state with the charging power of the vehicle to be charged through the power matching module; B5, transmitting the information of the charging ports of the power distribution cabinets in the idle state with the same matching results to the charging planning module, and determining whether the charging power of the vehicles currently charged by the power distribution cabinets with similar matching results can be adjusted. If the determination result is yes, executing step B6, if the determination result is no, the execution ends; B6, adjust the charging power of the current charging vehicle of the distribution cabinet with similar matching results through the power adjustment module, so that the output power of the charging port of the distribution cabinet where the current charging vehicle is in an idle state is the same as the charging power of the vehicle to be charged, and transmit the charging port information to the charging planning module and the execution ends.

4. The intelligent power distribution control device for a power distribution cabinet according to claim 1, characterized in that: The environmental information collection module includes: A high-speed section weather information collection module, which is used to collect weather information of the high-speed section in the service area where the power distribution cabinet is located; A service area temperature information collection module, which is used to collect temperature information of the service area where the power distribution cabinet is located; An in-and-out vehicle information collection module, the in-and-out vehicle information collection module is used for collecting information; A new energy vehicle charging information collection module, which is used to collect charging information of new energy vehicles that are being charged, and the charging information includes the remaining charge of the new energy vehicle, the remaining charging time of the new energy vehicle, and the charging plan of the new energy vehicle; The charging vehicle information collection module is used to collect information about vehicles currently being charged in the power distribution cabinet.

5. An intelligent power distribution control method for a power distribution cabinet, which is applicable to an intelligent power distribution control device for a power distribution cabinet according to any one of claims 1 to 4, characterized in that: The power distribution control method specifically includes the following steps: S1, when setting off, the user enters the user's departure place, user's destination, user's planned arrival time, user's vehicle information, and the user's waiting time in the service area in the user demand input module; S2, reading the number of distribution cabinets between the user's departure point and the user's destination; S3, judging the power distribution cabinet in an idle state according to the charging vehicle information of the current power distribution cabinet; S4, obtaining the discharge power of the current idle distribution cabinet through the temperature information of the high-speed service area where the idle distribution cabinet is located collected by the environmental information collection module and the discharge power change information of the distribution cabinet obtained by the database matching module; S5, the power allocation module selects a distribution cabinet that meets the charging rated power of the vehicle to be charged and generates the optimal vehicle charging plan by comparing the discharge power of the current distribution cabinet in the idle state, the charging information of new energy vehicles in the high-speed service area where the current distribution cabinet is located, and the charging rated power of the vehicle to be charged; S6, the charging planning module generates a distribution cabinet path plan by receiving the information of vehicles entering and leaving the high-speed service area where the current distribution cabinet is located, the current remaining power of the vehicle, and the power loss value of the vehicle information, and generates a charging time plan by receiving the charging information of new energy vehicles in the high-speed service area where the current distribution cabinet is located, and the information of vehicles entering and leaving the high-speed service area where the current distribution cabinet is located; S7, sending the charging plan generated by the charging planning module to the user receiving end through the charging plan sending module; S8, the user receiving module receives the charging plan sent by the charging plan sending module and displays the plan to the user; S9, the user independently selects a suitable charging plan through the user charging plan selection module.

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