A method and system for planning the construction scale of a charging station

Abstract

The present application provides a method and system for planning the construction scale of a charging station, and relates to the technical field of communication analysis of charging stations. The method includes: collecting communication configuration parameters of the central control center of the charging station; determining the communication protocol for the central control center of the charging station to communicate with the charging piles; determining charging pile samples; obtaining fast charging communication flow indicators and slow charging communication flow indicators; establishing a communication capacity optimization model, optimizing the communication capacity, and outputting charging pile scale indicators; generating a charging pile planning scheme. This application can solve the technical problem in the prior art that the charging pile scale analysis is inaccurate due to the lack of communication performance analysis between the charging piles and the central control center, thereby affecting the communication security of the charging piles. After performing communication tests on the fast charging piles and the slow charging piles, the communication capacity is optimized to ensure the communication security between the charging piles in the charging station and the central control center, thereby assisting in the construction of the charging station.

Description

Technical Field

[0001] The present application relates to the technical field of charging station communication analysis, and in particular to a method and system for planning the construction scale of a charging station. Background Art

[0002] With the rapid development of new energy vehicles, the demand for charging facilities has become increasingly prominent. As a clean and energy-saving means of transportation, electric vehicles have received more and more attention and favor. As the "gas station" for electric vehicles, the construction scale and layout of charging piles directly affect the user experience of electric vehicles.

[0003] At present, most of the existing charging station planning methods are to plan the number and location of charging piles based on user charging demand predictions. However, when charging piles are charging, they need to communicate with the charging station's central control center. If the communication load is too large, it is easy to cause poor communication and affect the normal operation of the charging station.

[0004] In summary, the prior art has a technical problem that the lack of communication performance analysis between the charging pile and the central control center leads to inaccurate charging pile scale analysis, which in turn affects the communication security of the charging pile. Summary of the invention

[0005] The purpose of this application is to provide a method and system for planning the construction scale of a charging station, so as to solve the technical problem in the prior art that the charging pile scale analysis is inaccurate due to the lack of communication performance analysis between the charging pile and the central control center, thereby affecting the communication security of the charging pile.

[0006] In view of the above problems, the present application provides a method and system for planning the construction scale of a charging station.

[0007] In a first aspect, the present application provides a method for planning the construction scale of a charging station, and the method is implemented by a system for planning the construction scale of a charging station, wherein the method includes: obtaining a central control center of the charging station and collecting communication configuration parameters of the central control center of the charging station; determining a communication protocol for communication between the central control center of the charging station and a charging pile according to the communication configuration parameters; determining charging pile samples, wherein the charging pile samples include a fast charging charging pile type and a slow charging charging pile type; performing communication tests on the charging pile samples according to the communication protocol, outputting a fast charging communication monitoring sample and a slow charging communication monitoring sample, and analyzing the fast charging communication monitoring sample and the slow charging communication monitoring sample to obtain a fast charging communication flow index and a slow charging communication flow index; establishing a communication capacity optimization model, wherein the communication capacity optimization model optimizes the communication capacity of the central control center of the charging station with the fast charging communication flow index and the slow charging communication flow index as input variables, and outputs a charging pile scale index that is below a preset communication capacity threshold; and generating a charging pile planning scheme according to the charging pile scale index.

[0008] In a second aspect, the present application further provides a charging station construction scale planning system, which is used to execute a charging station construction scale planning method as described in the first aspect, wherein the system includes: a communication configuration parameter acquisition module, which is used to obtain a charging station central control center and collect communication configuration parameters of the charging station central control center; a communication protocol determination module, which is used to determine the communication protocol for the charging station central control center to communicate with the charging pile according to the communication configuration parameters; a charging pile sample determination module, which is used to determine the charging pile sample, wherein the charging pile sample includes a fast charging charging pile type and a slow charging charging pile type; a communication test module, It is used to perform communication tests on the charging pile samples according to the communication protocol, output fast charging communication monitoring samples and slow charging communication monitoring samples, analyze the fast charging communication monitoring samples and slow charging communication monitoring samples to obtain fast charging communication flow indicators and slow charging communication flow indicators; a communication capacity optimization module is used to establish a communication capacity optimization model, the communication capacity optimization model uses the fast charging communication flow indicators and slow charging communication flow indicators as input variables to optimize the communication capacity of the charging station central control center, and outputs the charging pile scale indicators under the preset communication capacity threshold; a charging pile planning scheme generation module is used to generate a charging pile planning scheme according to the charging pile scale indicators.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] Acquire a charging station central control center and collect communication configuration parameters of the charging station central control center; determine a communication protocol for the charging station central control center to communicate with charging piles according to the communication configuration parameters; determine charging pile samples, wherein the charging pile samples include fast charging charging pile types and slow charging charging pile types; perform communication tests on the charging pile samples according to the communication protocol, output fast charging communication monitoring samples and slow charging communication monitoring samples, analyze the fast charging communication monitoring samples and slow charging communication monitoring samples to obtain fast charging communication flow indicators and slow charging communication flow indicators; establish a communication capacity optimization model, the communication capacity optimization model uses the fast charging communication flow indicators and slow charging communication flow indicators as input variables to optimize the communication capacity of the charging station central control center, and outputs charging pile scale indicators that are below a preset communication capacity threshold; generate a charging pile planning plan according to the charging pile scale indicators. After conducting communication tests on fast charging piles and slow charging piles, the communication capacity optimization model is used to optimize the communication capacity of fast and slow charging piles, thereby ensuring the communication security between the charging piles in the charging station and the central control center, thereby assisting in the construction of the charging station.

[0011] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0013] Figure 1 A flowchart of a method for planning the construction scale of a charging station for this application;

[0014] Figure 2 A structural diagram of a charging station construction scale planning system for this application.

[0015] Explanation of the reference numerals: communication configuration parameter acquisition module 11 , communication protocol determination module 12 , charging pile sample determination module 13 , communication test module 14 , communication capacity optimization module 15 , charging pile planning scheme generation module 16 . DETAILED DESCRIPTION

[0016] This application provides a method and system for planning the construction scale of a charging station, which solves the technical problem in the prior art that the lack of communication performance analysis between the charging pile and the central control center leads to inaccurate analysis of the charging pile scale, thereby affecting the communication security of the charging pile. After conducting communication tests on fast charging piles and slow charging piles, the communication capacity optimization model is used to optimize the communication capacity of fast and slow charging piles, thereby ensuring the communication security between the charging piles in the charging station and the central control center, thereby assisting in the construction of the charging station.

[0017] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0018] Embodiment 1

[0019] Please see attached Figure 1 The present application provides a method for planning the construction scale of a charging station, wherein the method is applied to a system for planning the construction scale of a charging station, and the method specifically comprises the following steps:

[0020] Step 1: Obtain the charging station control center and collect communication configuration parameters of the charging station control center;

[0021] Specifically, the charging station control center is the core management and control center of the charging station, responsible for monitoring, scheduling and managing the operation of the entire charging station. Therefore, the charging station control center will communicate and exchange data with each charging pile to achieve control over the charging piles. When building a charging station, the charging station control center is first determined to facilitate subsequent charging pile planning and ensure the communication security between the charging piles and the charging station control center. Then, the communication configuration parameters of the charging station control center are collected, including but not limited to IP address, subnet mask, gateway address, communication port, communication protocol and other information.

[0022] Step 2: Determine the communication protocol for the charging station central control center to communicate with the charging pile according to the communication configuration parameters;

[0023] Specifically, the communication configuration parameters are analyzed, and the communication configuration parameters include information such as IP address, subnet mask, gateway, communication port, etc., thereby identifying the communication protocol for the communication between the charging station control center and the charging pile. Specifically, professional and technical personnel in this field can obtain communication configuration parameter samples of existing different communication protocols based on the existing technology, establish a communication protocol mapping library, and perform traversal comparison in the communication protocol mapping library based on the communication configuration parameters to obtain the communication protocol corresponding to the communication configuration parameters, that is, the communication protocol for the communication between the charging station control center and the charging pile.

[0024] Step 3: Determine a charging pile sample, wherein the charging pile sample includes a fast charging pile type and a slow charging pile type;

[0025] Specifically, the fast charging type of charging pile is used to provide fast charging services. For example, a DC fast charging pile can provide fast, high-power charging services for electric vehicles, and can fully charge electric vehicles in a relatively short time. The slow charging type of charging pile generally uses a lower charging power and a relatively long charging time, such as a wall-mounted AC charging pile. Compared with the slow charging type of charging pile, the fast charging type of charging pile requires a higher communication flow to ensure the fast and stable charging process. The professional and technical personnel in this field determine the charging pile samples corresponding to the fast charging type and the slow charging type of charging pile based on actual conditions, and both the fast charging type and the slow charging type of charging pile can include charging piles of different specifications, which is convenient for subsequent optimization through charging capacity, and different types of fast charging piles and slow charging piles can be optimized.

[0026] Step 4: Perform communication tests on the charging pile samples respectively according to the communication protocol, output fast charging communication monitoring samples and slow charging communication monitoring samples, and analyze the fast charging communication monitoring samples and slow charging communication monitoring samples to obtain fast charging communication flow indicators and slow charging communication flow indicators;

[0027] Specifically, the charging pile corresponding to the type of fast charging charging pile in the charging pile sample is selected, and it communicates with the charging station control center through a determined communication protocol. During the communication test, the charging pile is made to perform a complete fast charging process, and the existing network packet capture tool is used to monitor the communication between the charging pile and the charging station control center, and the communication data packet of the communication protocol is recorded as a fast charging communication monitoring sample. Similarly, the charging pile corresponding to the type of slow charging charging pile in the charging pile sample is selected, and it communicates with the charging station control center through a determined communication protocol. During the communication test, the charging pile is made to perform a complete slow charging process, and the existing network packet capture tool is used to monitor the communication between the charging pile and the charging station control center, and the communication data packet of the communication protocol is recorded as a slow charging communication monitoring sample.

[0028] Furthermore, the fast charging communication monitoring samples and the slow charging communication monitoring samples are analyzed to obtain the fast charging communication flow index and the slow charging communication flow index, wherein the fast charging communication flow index indicates the communication data size generated when the fast charging charging pile type performs a fast charging process, and the slow charging communication flow index indicates the communication data size generated when the slow charging charging pile type performs a slow charging process. Specifically, the communication data size in the fast charging communication monitoring samples and the slow charging communication monitoring samples can be counted as the fast charging communication flow index and the slow charging communication flow index.

[0029] Step 5: Establish a communication capacity optimization model, wherein the communication capacity optimization model uses the fast charging communication flow index and the slow charging communication flow index as input variables to optimize the communication capacity of the charging station control center, and outputs a charging pile scale index under a preset communication capacity threshold;

[0030] Specifically, the communication capacity optimization model can be constructed based on existing intelligent optimization algorithms, such as particle swarm optimization, simulated annealing optimization, etc. The charging pile scale index includes the type of fast charging charging pile and the type of slow charging charging pile, as well as the number of corresponding charging piles. The preset communication capacity threshold refers to the maximum communication capacity that the central control center of the charging station can achieve safe communication. In simple terms, the fast charging communication flow index and the slow charging communication flow index refer to the amount of communication data generated by the fast charging charging pile type and the slow charging charging pile type in the charging pile sample for fast charging and slow charging. This is used as an input variable, and the type and number of fast charging piles and slow charging piles are changed. The fast charging communication flow index and the slow charging communication flow index are added and calculated to obtain the total communication data volume. The intelligent optimization algorithm in the communication capacity optimization model is used to iteratively adjust the type of fast charging charging pile and the type of slow charging charging pile, as well as the number of corresponding charging piles, so that the total communication data volume meets the preset communication capacity threshold, thereby obtaining the type and number of fast charging piles and slow charging piles as charging pile scale indicators.

[0031] Step 6: Generate a charging pile planning plan based on the charging pile scale indicators.

[0032] Specifically, according to the charging pile scale index, the types and quantities of fast charging piles and slow charging piles are used as the charging pile planning scheme. When users build charging stations, they can use the charging pile planning scheme as a reference to ensure the communication security of the charging piles in the charging station.

[0033] Furthermore, step five of this application also includes:

[0034] Acquire the area to be planned of the central control center of the charging station; identify the environmental characteristics of the area to be planned, perform analog area matching in the regional database with the environmental characteristics, and obtain a first matching area with an environmental characteristic similarity greater than a preset similarity, wherein the regional database is a charging pile area sample constructed by Internet of Things sampling; obtain the fast charging-slow charging utilization ratio of the first matching area; and optimize the communication capacity optimization model with the fast charging-slow charging utilization ratio as a newly added variable.

[0035] Furthermore, the present application also includes the following steps:

[0036] Variables are assigned to the fast charging communication flow index and the slow charging communication flow index according to the fast charging-slow charging usage rate ratio, and communication capacity is segmented optimized according to the assigned variables to obtain a round of optimization results, wherein the first round of optimization results includes a fast charging scale index and a slow charging scale index; fitness evaluation is performed on the first round of optimization results, and a first round of optimization fitness is output, wherein the first round of optimization fitness is the degree of adaptation of the communication capacity of the charging station central control center based on the first round of optimization results; when the first round of optimization fitness does not meet the preset fitness, a second round of optimization results is obtained, and so on, until the preset fitness is met, and a converged charging pile scale indicator is output.

[0037] Furthermore, the present application also includes the following steps:

[0038] An initial fast charging scale index and an initial slow charging scale index are randomly obtained, wherein the initial fast charging scale index and the initial slow charging scale index are variables assigned by the fast charging-slow charging usage rate ratio; the initial fast charging scale index is fixed to optimize the initial slow charging scale index, and a slow charging scale index obtained by optimization is output; the initial fast charging scale index is fixed to optimize the initial slow charging scale index, and a fast charging scale index obtained by optimization is output; the slow charging scale index and the fast charging scale index are output as a round of optimization results.

[0039] Specifically, the process of optimizing the communication capacity of the charging station central control center using the fast charging communication flow index and the slow charging communication flow index as input variables also includes:

[0040] First, obtain the area to be planned of the central control center of the charging station. The area to be planned is the area where charging piles can be installed, which needs to be determined in combination with actual conditions. Identify the environmental characteristics of the area to be planned. The environmental characteristics include information such as population density and traffic flow. Specifically, they can be collected and obtained through existing Internet of Things devices. For example, the population distribution and density in the area to be planned are obtained through census data. Traffic flow is obtained using traffic monitoring data or traffic survey data collected by cameras. Further obtain a regional database, which contains the environmental characteristics of multiple analog areas. Multiple analog areas refer to areas where charging stations have been built. Through existing Internet of Things technology, such as identifying the population density and traffic flow of analog areas through census data or traffic monitoring data, the environmental characteristics of multiple analog areas are obtained, and a regional database is established.

[0041] Furthermore, similarity identification is performed between the environmental characteristics of multiple analog areas in the regional database and the environmental characteristics of the area to be planned. Specifically, the existing similarity identification method, such as cosine similarity, is used to obtain the similarity between the environmental characteristics of multiple analog areas and the area to be planned, and the analog area whose environmental characteristic similarity is greater than a preset similarity is selected as the first matching area, wherein the preset similarity is set by professional and technical personnel in the field, for example, 90%. That is to say, areas with similar environmental characteristics may also have the same charging requirements, which is helpful for auxiliary planning of charging piles in the area to be planned.

[0042] In the first matching area, there are charging stations that have been built and put into use. The historical charging and usage records of the charging stations are extracted. Based on the historical charging and usage records, the usage rates of fast charging piles and slow charging piles are counted and the ratio is calculated to obtain the fast charging-slow charging usage ratio. This ratio reflects the preference of users in this area for fast charging piles and slow charging piles, which is important for communication capacity optimization. The fast charging-slow charging usage ratio is used as a new variable to optimize the communication capacity optimization model. That is to say, when optimizing the communication capacity through the communication capacity optimization model, the ratio of the number of fast charging piles and slow charging piles to meet the fast charging-slow charging usage ratio is used as a constraint condition to optimize the communication capacity, thereby ensuring that the number of different charging piles can meet the usage needs of the area to be planned and improving the planning accuracy of the charging piles.

[0043] Specifically, the communication capacity of the charging station central control center is optimized by taking the fast charge-slow charge usage ratio as a newly added variable, and the specific process is as follows:

[0044] The fast charging communication flow index and the slow charging communication flow index are assigned variables with the fast charging-slow charging utilization ratio, that is, the fast charging-slow charging utilization ratio is used as a weight factor, and the fast charging communication flow index and the slow charging communication flow index are assigned and calculated, so that the ratio of the assigned fast charging communication flow index and the slow charging communication flow index satisfies the fast charging-slow charging utilization ratio, and the fast charging pile type and number and the slow charging pile type and number corresponding to the assigned fast charging communication flow index and the slow charging communication flow index are obtained as the assigned variables. Then, the communication capacity is optimized in sections according to the assigned variables, that is, the communication capacity of the fast charging pile and the communication capacity of the slow charging pile are optimized according to the assigned variables, and a round of optimization results are obtained, wherein the one round of optimization results includes the fast charging scale index and the slow charging scale index, that is, the type and number of fast charging piles and the type and number of slow charging piles.

[0045] Specifically, the communication capacity is optimized in sections according to the assigned variables, and each round of section optimization process includes: the assigned fast charging communication flow index and the slow charging communication flow index are used as the initial fast charging scale index and the initial slow charging scale index respectively. The initial fast charging scale index is fixed, that is, as a quantitative in the optimization process, the initial slow charging scale index is optimized, that is, by changing the initial slow charging scale index, the total communication capacity of the charging pile can meet the preset communication capacity threshold, and the changed initial slow charging scale index is obtained as a slow charging scale index. Further, the one-time slow charging scale index is fixed as a quantitative in the optimization process, the initial fast charging scale index is optimized, that is, by changing the initial fast charging scale index, the total communication capacity of the charging pile can meet the preset communication capacity threshold, and the changed initial fast charging scale index is obtained as a slow charging scale index. Finally, the one-time slow charging scale index and the one-time fast charging scale index are output as a round of optimization results to achieve section optimization and improve the accuracy of charging pile scale optimization.

[0046] Further fitness evaluation is performed on the results of the first round of optimization, that is, the sum of the communication flow indicators corresponding to the fast charging scale indicator and the slow charging scale indicator in the results of the first round of optimization is calculated, and then the deviation from the preset communication capacity threshold is analyzed as the fitness of the first round of optimization, and the fitness of the first round of optimization is the adaptability of the communication capacity of the central control center of the charging station based on the results of the first round of optimization. When the fitness of the first round of optimization does not meet the preset fitness, the results of the second round of optimization are obtained, and so on, until the preset fitness is met, and the converged charging pile scale indicator is output, wherein the preset fitness is set by professional and technical personnel in this field. In this way, communication capacity optimization based on the fast charging-slow charging utilization rate ratio is achieved, the adaptability of charging pile planning and regional usage needs is improved, and communication security is ensured at the same time.

[0047] Furthermore, the present application also includes the following steps:

[0048] A life-decreasing sample group is generated according to the charging pile samples; a communication loss test is performed according to the life-decreasing sample group, and a communication loss sample test set is output; training is performed according to the communication loss sample test set to obtain a life-communication loss identification model, and the life-communication loss identification model is connected with the communication capacity optimization model; the charging pile scale index is optimized according to the life-communication loss identification model, and the optimized charging pile scale index is output.

[0049] Specifically, the life of the charging pile will also decay during use, and its communication performance will decrease as the life decays, that is, the communication load will increase as the life decays. Therefore, when optimizing the communication capacity, the increasing communication load of the charging pile must also be considered. The specific process is as follows:

[0050] According to the charging pile samples, charging piles of the same type as the charging pile samples and in different life stages, that is, charging piles with increasing service time in sequence, are obtained as the life-decreasing sample group. The service life decreasing sample group is subjected to a communication loss test, specifically, including monitoring and recording the communication data packets of the charging piles in the life-decreasing sample group, calculating the size of the communication data volume, and analyzing the degree of deviation between the communication data volume and the initial communication data volume. The degree of deviation can be used to represent the degree of communication loss. The initial communication data volume is the communication data volume when the charging pile is charged when there is no increase in the communication load when it is first put into use. The degree of deviation and its corresponding life stage are used as the communication loss sample test set. The communication loss sample test set is used to train the life-communication loss identification model. The life-communication loss identification model can be a machine learning model, such as a regression model, a decision tree, a neural network, etc., which can predict the degree of communication loss of the charging pile at different life stages according to its life. The training of the machine learning model is a common technical means used by those skilled in the art and will not be expanded here.

[0051] Furthermore, the trained life-communication loss identification model is connected to the communication capacity optimization model. In this way, when optimizing the communication capacity through the communication capacity optimization model, the communication loss degree of the charging pile under the expected life can be considered, so as to optimize the charging pile scale index, that is, the charging pile scale index is lowered according to the communication loss degree, so as to obtain the optimized charging pile scale index. In this way, the identification and analysis of communication loss is realized, and the charging pile scale is optimized, so as to improve the planning accuracy of the charging pile, thereby ensuring the communication safety of the charging pile at different life stages after it is put into use.

[0052] Furthermore, the present application also includes the following steps:

[0053] Obtain a communication mode design of the charging station central control center; determine whether the charging station central control center is in a single communication mode according to the communication mode design; if the charging station central control center is in a single communication mode, perform communication capacity evaluation according to the single communication mode, and output a preset communication capacity threshold.

[0054] Specifically, the communication mode design of the charging station control center is obtained. The communication mode design can be a single communication mode or a dual communication mode, wherein the single communication mode means that all charging piles are directly connected to the charging station control center, that is, communicating with the charging station control center through a centralized communication channel; the dual communication mode means that the charging piles communicate with the charging station control center through two independent channels. According to the communication mode design, it is determined whether the charging station control center is in a single communication mode. If the charging station control center is in a single communication mode, the communication capacity is evaluated according to the single communication mode, that is, a communication test is performed with the charging station control center through a single communication mode, and the maximum communication data volume when the communication of the charging station control center does not have abnormalities such as delays is obtained as the preset communication capacity threshold. In this way, the communication capacity prediction under the single communication mode is realized, which provides a basis for optimizing the communication capacity.

[0055] Furthermore, the present application also includes the following steps:

[0056] If the central control center of the charging station is in dual communication mode, obtain the first communication mode type and the second communication mode type; perform communication capacity evaluation on the first communication mode type, and output the first preset communication capacity threshold; perform communication capacity evaluation on the second communication mode type, and output the second preset communication capacity threshold; obtain the adaptive charging pile type of the first communication mode type, and the adaptive charging pile type of the second communication mode type; optimize the adaptive charging pile type of the first communication mode type according to the first preset communication capacity threshold, and output the first charging pile scale index corresponding to the first communication mode type; optimize the adaptive charging pile type of the second communication mode type according to the second preset communication capacity threshold, and output the second charging pile scale index corresponding to the second communication mode type; generate a charging pile planning scheme based on the first charging pile scale index and the second charging pile scale index.

[0057] Specifically, when the charging station control center adopts dual communication mode, the evaluation of communication capacity and optimization of charging pile scale need to be carried out for the two communication modes respectively. The specific steps are as follows:

[0058] A first communication mode type and a second communication mode type in the dual communication mode are obtained, where the first communication mode type and the second communication mode type refer to different communication channels, including different communication protocols.

[0059] According to the communication protocol corresponding to the first communication mode type, a communication test is performed to obtain the maximum communication data volume when the communication of the charging station control center does not experience abnormalities such as delays as the first preset communication capacity threshold. Similarly, the communication capacity of the second communication mode type is evaluated, that is, according to the communication protocol corresponding to the second communication mode type, a communication test is performed to obtain the maximum communication data volume when the communication of the charging station control center does not experience abnormalities such as delays as the second preset communication capacity threshold. Further obtain the technical specifications of all charging piles, including their communication interfaces, compatibility, communication protocols, etc., compare them with the first communication mode type and the second communication mode type, and obtain the adapted charging piles that can meet the first communication mode type and the adapted charging piles that meet the second communication mode type.

[0060] Then, through the communication capacity optimization model, the first preset communication capacity threshold is used as a constraint to optimize the types of adaptive charging piles of the first communication mode type, and the number of adaptive charging pile types that meet the first preset communication capacity threshold is obtained as the first charging pile scale index corresponding to the first communication mode type. Similarly, through the communication capacity optimization model, the second preset communication capacity threshold is used as a constraint to optimize the types of adaptive charging piles of the second communication mode type, and the number of adaptive charging pile types that meet the second preset communication capacity threshold is obtained as the second charging pile scale index corresponding to the second communication mode type. Finally, according to the first charging pile scale index and the second charging pile scale index, the number of adaptive charging pile types of the first communication mode type and the number of adaptive charging pile types of the second communication mode type are used as charging pile planning schemes to achieve the optimization of charging pile scale under dual communication modes and improve the adaptability of charging pile planning to the actual communication mode.

[0061] Furthermore, the present application also includes the following steps:

[0062] According to the communication radius of the control center of the charging station, a first constraint condition is generated according to the communication radius, and the communication capacity optimization model is constrained by the first constraint condition.

[0063] Specifically, the communication radius of the charging station control center refers to the maximum distance that the charging station control center can cover. The charging pile needs to communicate effectively with the charging station control center within this range, which needs to be determined in combination with actual conditions. According to the communication radius, the first constraint is generated. The first constraint is about the maximum allowable distance between the charging pile and the charging station control center to ensure the effectiveness and reliability of communication. The generated first constraint is applied to the communication capacity optimization model to optimize the deployment location of the charging pile to ensure that the distance between the charging pile deployment location and the charging station control center meets the first constraint, thereby outputting the charging pile scale index, realizing the optimization of the charging pile layout, ensuring that all charging piles are within the communication radius, and at the same time meeting the communication capacity requirements to ensure the effectiveness of communication.

[0064] In summary, the method for planning the construction scale of a charging station provided in this application has the following technical effects:

[0065] Acquire a charging station central control center and collect communication configuration parameters of the charging station central control center; determine a communication protocol for the charging station central control center to communicate with charging piles according to the communication configuration parameters; determine charging pile samples, wherein the charging pile samples include fast charging charging pile types and slow charging charging pile types; perform communication tests on the charging pile samples according to the communication protocol, output fast charging communication monitoring samples and slow charging communication monitoring samples, analyze the fast charging communication monitoring samples and slow charging communication monitoring samples to obtain fast charging communication flow indicators and slow charging communication flow indicators; establish a communication capacity optimization model, the communication capacity optimization model uses the fast charging communication flow indicators and slow charging communication flow indicators as input variables to optimize the communication capacity of the charging station central control center, and outputs charging pile scale indicators that are below a preset communication capacity threshold; generate a charging pile planning plan according to the charging pile scale indicators. After conducting communication tests on fast charging piles and slow charging piles, the communication capacity optimization model is used to optimize the communication capacity of fast and slow charging piles, thereby ensuring the communication security between the charging piles in the charging station and the central control center, thereby assisting in the construction of the charging station.

[0066] Embodiment 2

[0067] Based on the same inventive concept as the method for planning the construction scale of a charging station in the aforementioned embodiment, the present application also provides a system for planning the construction scale of a charging station, see the attached Figure 2 , the system comprising:

[0068] The communication configuration parameter acquisition module 11 is used to acquire the charging station central control center and acquire the communication configuration parameters of the charging station central control center;

[0069] A communication protocol determination module 12, used to determine the communication protocol for communication between the charging station central control center and the charging pile according to the communication configuration parameters;

[0070] A charging pile sample determination module 13, the charging pile sample determination module is used to determine a charging pile sample, wherein the charging pile sample includes a fast charging charging pile type and a slow charging charging pile type;

[0071] The communication test module 14 is used to perform communication tests on the charging pile samples according to the communication protocol, output fast charging communication monitoring samples and slow charging communication monitoring samples, and analyze the fast charging communication monitoring samples and the slow charging communication monitoring samples to obtain fast charging communication flow indicators and slow charging communication flow indicators;

[0072] The communication capacity optimization module 15 is used to establish a communication capacity optimization model, wherein the communication capacity optimization model uses the fast charging communication flow index and the slow charging communication flow index as input variables to optimize the communication capacity of the charging station control center, and outputs a charging pile scale index under a preset communication capacity threshold;

[0073] The charging pile planning scheme generating module 16 is used to generate a charging pile planning scheme according to the charging pile scale index.

[0074] Furthermore, the communication capacity optimization module 15 in the system is also used for:

[0075] Obtaining the area to be planned of the central control center of the charging station;

[0076] Identify the environmental features of the area to be planned, perform analog regional matching in the regional database with the environmental features, and obtain a first matching area whose environmental feature similarity is greater than a preset similarity, wherein the regional database is constructed by sampling the Internet of Things to obtain a charging pile area sample;

[0077] Obtaining a fast charge-slow charge usage ratio of the first matching area;

[0078] The communication capacity optimization model is optimized with the fast charge-slow charge utilization ratio as a newly added variable.

[0079] Furthermore, the communication capacity optimization module 15 in the system is also used for:

[0080] Assigning variables to the fast charging communication flow index and the slow charging communication flow index according to the fast charging-slow charging usage rate ratio, performing segmented optimization of communication capacity according to the assigned variables, and obtaining a round of optimization results, wherein the round of optimization results includes a fast charging scale index and a slow charging scale index;

[0081] Performing fitness evaluation on the optimization result of the round, and outputting a fitness of the optimization round, wherein the fitness of the optimization round is the adaptability of the communication capacity of the central control center of the charging station based on the optimization result of the round;

[0082] When the fitness of the first round of optimization does not meet the preset fitness, the result of the second round of optimization is obtained, and so on, until the preset fitness is met, and the converged charging pile scale index is output.

[0083] Furthermore, the communication capacity optimization module 15 in the system is also used for:

[0084] Randomly acquiring an initial fast charging scale index and an initial slow charging scale index, wherein the initial fast charging scale index and the initial slow charging scale index are variables assigned by the fast charging-slow charging utilization rate ratio;

[0085] The initial fast charging scale index is fixed to optimize the initial slow charging scale index, and the optimized slow charging scale index is output;

[0086] The first slow charging scale index is fixed to optimize the initial fast charging scale index, and the first fast charging scale index obtained by optimization is output;

[0087] The slow charging scale index and the fast charging scale index are output as a round of optimization results.

[0088] Furthermore, the system further comprises a communication loss identification module, wherein the communication loss identification module is used to:

[0089] Generate a life-decreasing sample group according to the charging pile sample;

[0090] Perform a communication loss test according to the life-decreasing sample group, and output a communication loss sample test set;

[0091] Perform training according to the communication loss sample test set to obtain a life-communication loss identification model, and connect the life-communication loss identification model with the communication capacity optimization model;

[0092] The charging pile scale index is optimized according to the life-communication loss identification model, and the optimized charging pile scale index is output.

[0093] Furthermore, the system further includes a preset communication capacity threshold acquisition module, and the preset communication capacity threshold acquisition module is used to:

[0094] Obtaining a communication mode design of the charging station central control center;

[0095] According to the communication mode design, it is determined whether the charging station central control center is in a single communication mode. If the charging station central control center is in a single communication mode, a communication capacity evaluation is performed according to the single communication mode, and a preset communication capacity threshold is output.

[0096] Furthermore, the system further includes a dual communication mode optimization module, and the dual communication mode optimization module is used to:

[0097] If the charging station central control center is in dual communication mode, obtaining a first communication mode type and a second communication mode type;

[0098] Performing communication capacity evaluation on the first communication mode type, and outputting a first preset communication capacity threshold;

[0099] Performing communication capacity evaluation on the second communication mode type, and outputting a second preset communication capacity threshold;

[0100] Obtaining a charging pile type that is compatible with the first communication mode type and a charging pile type that is compatible with the second communication mode type;

[0101] Optimizing the type of charging piles adapted to the first communication mode type according to a first preset communication capacity threshold, and outputting a first charging pile scale indicator corresponding to the first communication mode type;

[0102] Optimizing the type of charging piles adapted to the second communication mode type according to a second preset communication capacity threshold, and outputting a second charging pile scale indicator corresponding to the second communication mode type;

[0103] A charging pile planning scheme is generated according to the first charging pile scale index and the second charging pile scale index.

[0104] Furthermore, the system further comprises a communication radius constraint module, wherein the communication radius constraint module is used to:

[0105] According to the communication radius of the control center of the charging station;

[0106] A first constraint condition is generated according to the communication radius, and the communication capacity optimization model is constrained by the first constraint condition.

[0107] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1The construction scale planning method and specific examples of a charging station in the first embodiment are also applicable to the construction scale planning system of a charging station in this embodiment. Through the detailed description of the construction scale planning method of a charging station, those skilled in the art can clearly know the construction scale planning system of a charging station in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0108] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0109] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A method for planning the construction scale of charging stations. It is characterized in that The method comprises: Obtaining a charging station central control center and collecting communication configuration parameters of the charging station central control center; Determine the communication protocol for the charging station central control center to communicate with the charging pile according to the communication configuration parameters; Determine a charging pile sample, wherein the charging pile sample includes a fast charging charging pile type and a slow charging charging pile type; Perform communication tests on the charging pile samples respectively according to the communication protocol, output fast charging communication monitoring samples and slow charging communication monitoring samples, and analyze the fast charging communication monitoring samples and slow charging communication monitoring samples to obtain fast charging communication flow indicators and slow charging communication flow indicators; Establishing a communication capacity optimization model, wherein the communication capacity optimization model uses the fast charging communication flow index and the slow charging communication flow index as input variables to optimize the communication capacity of the charging station central control center, and outputs a charging pile scale index under a preset communication capacity threshold; Generate a charging pile planning scheme according to the charging pile scale index; Wherein, the communication capacity of the charging station central control center is optimized by taking the fast charging communication flow index and the slow charging communication flow index as input variables, and the method further includes: Obtaining the area to be planned of the central control center of the charging station; Identify the environmental features of the area to be planned, perform analog regional matching in the regional database with the environmental features, and obtain a first matching area whose environmental feature similarity is greater than a preset similarity, wherein the regional database is constructed by sampling the Internet of Things to obtain a charging pile area sample; Obtaining a fast charge-slow charge usage ratio of the first matching area; The communication capacity optimization model is optimized by using the fast charge-slow charge usage ratio as a newly added variable; The method for optimizing the communication capacity of the charging station central control center by using the fast charging-slow charging utilization ratio as a newly added variable includes: Assigning variables to the fast charging communication flow index and the slow charging communication flow index according to the fast charging-slow charging usage rate ratio, performing segmented optimization of communication capacity according to the assigned variables, and obtaining a round of optimization results, wherein the round of optimization results includes a fast charging scale index and a slow charging scale index; Performing fitness evaluation on the optimization result of the round, and outputting a fitness of the optimization round, wherein the fitness of the optimization round is the adaptability of the communication capacity of the central control center of the charging station based on the optimization result of the round; When the fitness of the first round of optimization does not meet the preset fitness, obtain the results of the second round of optimization, and so on, until the preset fitness is met, and output the converged charging pile scale index; Among them, the communication capacity is segmented and optimized according to the assigned variables. The process of each round of segment optimization includes: Randomly acquiring an initial fast charging scale index and an initial slow charging scale index, wherein the initial fast charging scale index and the initial slow charging scale index are variables assigned by the fast charging-slow charging utilization rate ratio; The initial fast charging scale index is fixed to optimize the initial slow charging scale index, and the optimized slow charging scale index is output; The first slow charging scale index is fixed to optimize the initial fast charging scale index, and the first fast charging scale index obtained by optimization is output; Outputting the slow charging scale index and the fast charging scale index as a round of optimization results; After determining the charging pile sample, the method further includes: Generate a life-decreasing sample group according to the charging pile sample; Perform a communication loss test according to the life-decreasing sample group, and output a communication loss sample test set; Perform training according to the communication loss sample test set to obtain a life-communication loss identification model, and connect the life-communication loss identification model with the communication capacity optimization model; Optimizing the charging pile scale index according to the life-communication loss identification model, and outputting the optimized charging pile scale index; Wherein, the method further comprises: Obtaining a communication mode design of the charging station central control center; Determine whether the charging station central control center is in a single communication mode according to the communication mode design; if the charging station central control center is in a single communication mode, perform communication capacity evaluation according to the single communication mode and output a preset communication capacity threshold; Wherein, if the charging station central control center is in dual communication mode, the first communication mode type and the second communication mode type are obtained; Performing communication capacity evaluation on the first communication mode type, and outputting a first preset communication capacity threshold; Performing communication capacity evaluation on the second communication mode type, and outputting a second preset communication capacity threshold; Obtaining a charging pile type that is compatible with the first communication mode type and a charging pile type that is compatible with the second communication mode type; Optimizing the type of charging piles adapted to the first communication mode type according to a first preset communication capacity threshold, and outputting a first charging pile scale indicator corresponding to the first communication mode type; Optimizing the type of charging piles adapted to the second communication mode type according to a second preset communication capacity threshold, and outputting a second charging pile scale indicator corresponding to the second communication mode type; Generate a charging pile planning scheme according to the first charging pile scale indicator and the second charging pile scale indicator; After collecting the communication configuration parameters of the charging station control center, the method further includes: According to the communication radius of the control center of the charging station; A first constraint condition is generated according to the communication radius, and the communication capacity optimization model is constrained by the first constraint condition.

2. A charging station construction scale planning system, It is characterized in that For implementing the steps of the method of claim 1, the system comprises: A communication configuration parameter acquisition module, used to acquire the charging station central control center and acquire the communication configuration parameters of the charging station central control center; A communication protocol determination module, used to determine the communication protocol for communication between the charging station central control center and the charging pile according to the communication configuration parameters; A charging pile sample determination module, the charging pile sample determination module is used to determine charging pile samples, wherein the charging pile samples include fast charging charging pile types and slow charging charging pile types; A communication test module, used to perform communication tests on the charging pile samples according to the communication protocol, output fast charging communication monitoring samples and slow charging communication monitoring samples, and analyze the fast charging communication monitoring samples and the slow charging communication monitoring samples to obtain fast charging communication flow indicators and slow charging communication flow indicators; A communication capacity optimization module, used to establish a communication capacity optimization model, wherein the communication capacity optimization model uses the fast charging communication flow index and the slow charging communication flow index as input variables to optimize the communication capacity of the charging station central control center, and outputs a charging pile scale index under a preset communication capacity threshold; The charging pile planning scheme generating module is used to generate a charging pile planning scheme according to the charging pile scale index.

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