A new energy vehicle charging control method and system

Abstract

The present application relates to the technical field of charging control, and in particular to a new energy vehicle charging control method and system, including: when a new energy vehicle is detected to be initially connected to a target charging pile for charging, historical vehicle charging parameters, current environmental parameters and vehicle charging standards are obtained, a model is created and analyzed for the historical vehicle charging parameters, a real-time state model of the battery corresponding to the new energy vehicle is obtained, and the new energy vehicle is simulated and charged based on the real-time state model, current environmental parameters and vehicle charging standards to obtain simulated charging data, and the vehicle charging standards are adjusted based on the simulated charging data to obtain the adjusted vehicle charging standards, and charging control instructions are generated based on the adjusted vehicle charging standards to control the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standards. The present application not only improves the charging efficiency of the charging pile, but also slows down the aggravation of battery loss.

Description

Technical Field

[0001] The present application relates to the technical field of charging control, and in particular to a new energy vehicle charging control method and system. Background Art

[0002] With the rapid development of the new energy vehicle industry, charging piles are becoming increasingly important as the "energy supply stations" of new energy vehicles. However, in actual applications, charging matching problems between new energy vehicles and charging piles often occur, which not only affects the charging efficiency, but may also cause damage to the batteries of new energy vehicles.

[0003] Traditional charging methods often use fixed charging standards, ignoring the differences in battery status of new energy vehicles, the impact of environmental factors, and the differences in charging pile performance. This "one-size-fits-all" charging method is difficult to meet the personalized charging needs of different new energy vehicles, and cannot fully utilize the charging capacity of charging piles, resulting in low charging efficiency and increased battery loss. Summary of the invention

[0004] In order to solve at least one of the above-mentioned technical problems, the present application provides a new energy vehicle charging control method and system.

[0005] In the first aspect, the present application provides a new energy vehicle charging control method, which adopts the following technical solution:

[0006] When it is detected that the new energy vehicle is initially connected to the target charging pile for charging, historical vehicle charging parameters, current environmental parameters and vehicle charging standards are obtained, wherein the historical vehicle charging parameters are the charging reaction parameters of the battery of the new energy vehicle at each charging in the historical time period, the historical charging standard of the applied charging pile, the charging environmental parameters and the application data information of the battery after charging, and the vehicle charging standard is the battery charging standard of the target charging pile;

[0007] Performing model creation and analysis on the historical vehicle charging parameters to obtain a real-time state model of the battery of the new energy vehicle;

[0008] Performing simulated charging on the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain simulated charging data;

[0009] Adjusting the vehicle charging standard based on the simulated charging data to obtain an adjusted vehicle charging standard;

[0010] A charging control instruction is generated based on the adjusted vehicle charging standard to control the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard.

[0011] By adopting the above technical solution, when the new energy vehicle is initially connected to the target charging pile, the system can quickly obtain diversified historical charging parameters, current environmental parameters and vehicle charging standards. The comprehensive consideration of this information provides detailed data support for the charging process of new energy vehicles. In particular, the historical vehicle charging parameters reflect the charging performance of new energy vehicles under different conditions, providing a rich data basis for subsequent model creation. Then, the historical vehicle charging parameters are modeled and analyzed to obtain a real-time state model of the new energy vehicle battery. This model can accurately reflect the current state of the battery and provide a reliable basis for subsequent simulated charging. The simulated charging combined with the current environmental parameters and the vehicle charging standards can predict the charging effect under different conditions. Based on the simulated charging data, the vehicle charging standards can be adjusted to obtain a charging standard that is more in line with the actual needs of new energy vehicles. This dynamic adjustment strategy not only improves the charging efficiency, but also ensures the safety of the charging process. The charging control instructions finally generated can control the charging pile to charge according to the adjusted charging stage power, realizing the intelligent and personalized charging process.

[0012] In a possible implementation, the model creation and analysis of the historical vehicle charging parameters to obtain a real-time state model of the battery of the new energy vehicle includes:

[0013] Based on the charging environment parameters and the preset environment category standard, the historical vehicle charging parameters are divided into primary data to obtain a first vehicle charging parameter group;

[0014] Performing secondary data division on the first vehicle charging parameter group according to the historical charging standard to obtain a second vehicle charging parameter group;

[0015] Performing data feature point analysis on the application data information and charging reaction parameters in the second vehicle charging parameter group to obtain battery feature points corresponding to each parameter group;

[0016] Establishing a two-dimensional battery application scatter plot, and importing the battery characteristic points into the two-dimensional battery application scatter plot according to a time series, to obtain first distribution information corresponding to the application data information and second distribution information corresponding to the charging reaction parameter;

[0017] Performing periodic variation analysis on the first distribution information and the second distribution information to obtain first periodic variation information corresponding to the charging reaction parameter and second periodic variation information corresponding to the application data information when the battery applies different charging standards under different environmental parameters;

[0018] Predict and analyze the charging reaction parameters and the application data information respectively according to the first periodic change information and the second periodic change information, so as to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period;

[0019] An application model of the battery is constructed based on the future reaction parameters and the future application data to obtain a real-time state model corresponding to when the battery applies different charging standards under different environmental parameters.

[0020] In a possible implementation, the simulating charging of the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain the simulated charging data includes:

[0021] Matching the current environmental parameters with the environmental parameters in the real-time state model to obtain charging state models corresponding to different charging standards;

[0022] Based on the charging state model, the new energy vehicles are respectively simulated charged to obtain simulated charging reaction parameters and simulated application data information corresponding to each charging standard;

[0023] Determine the target charging reaction parameter and target application data information corresponding to the vehicle charging standard and the reference charging reaction parameter and reference application data information corresponding to other charging standards based on the simulated charging reaction parameter and the simulated application data information;

[0024] The target charging reaction parameter, the target application data information, the reference charging reaction parameter and the reference application data information are sorted and arranged to obtain simulated charging data.

[0025] In a possible implementation, the adjusting the vehicle charging standard based on the simulated charging data to obtain an adjusted vehicle charging standard includes:

[0026] Based on a preset battery evaluation standard, the target charging reaction parameter, the target application data information, the reference charging reaction parameter, and the reference application data information in the simulated charging data are evaluated to obtain charging application scores corresponding to different charging standards of the battery at different charging time nodes;

[0027] Optimizing and screening the charging application scores to obtain a charging standard group with the best charging application scores for the battery at different charging time nodes;

[0028] Arranging the charging standard groups according to charging time nodes, and determining a charging combination standard corresponding to the battery based on the sorted charging standard groups;

[0029] The vehicle charging standard is adjusted according to the charging combination standard to obtain an adjusted vehicle charging standard.

[0030] In a possible implementation, performing periodic variation analysis on the first distribution information and the second distribution information to obtain first periodic variation information corresponding to the charging reaction parameter and second periodic variation information corresponding to the application data information when the battery applies different charging standards under different environmental parameters includes:

[0031] Performing unsupervised time series data sorting on the first distribution information and the second distribution information to obtain a first distribution data matrix corresponding to the first distribution information and a second distribution data matrix corresponding to the second distribution information;

[0032] Performing basic data distribution exploration on the first distribution data matrix and the second distribution data matrix respectively, to obtain a first periodic law of the charging reaction parameter when the battery applies different charging standards under different environmental parameters and a second periodic law corresponding to the application data information;

[0033] Determine a first time period length corresponding to the charging reaction parameter and a second time period length corresponding to the application data information based on the first periodic rule and the second periodic rule;

[0034] Based on the first time period length and the second time period length, supervised time series data sorting is performed on the first distribution data matrix and the second distribution data matrix to obtain first periodic change information corresponding to the charging reaction parameters when the battery applies different charging standards under different environmental parameters and second periodic change information corresponding to the application data information.

[0035] In a possible implementation, the predictive analysis of the charging reaction parameter and the application data information is performed according to the first periodic change information and the second periodic change information to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters in a future preset time period, including:

[0036] Processing the data included in the first periodic change information and the second periodic change information to obtain first periodic sequence data and second periodic sequence data;

[0037] The first cycle sequence data and the second cycle sequence data are respectively input into a preset algorithm model for data calculation to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period.

[0038] In a possible implementation, the controlling the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard further includes:

[0039] Collecting the actual charging power of the new energy vehicle by the charging pile during the charging stage, and comparing the actual charging power with the charging power during the charging stage to obtain a power comparison result;

[0040] Determine whether there is an abnormality in the power comparison result. If so, generate power abnormality information, and perform power compensation or power attenuation on the actual charging stage power based on the power abnormality information, and repeat the steps of comparing the actual charging stage power with the charging stage power to obtain a power comparison result, and determine whether there is an abnormality in the power comparison result, until there is no abnormality in the power comparison result, the abnormality includes that the relative value between the actual charging stage power and the charging stage power does not satisfy a preset power difference range.

[0041] In the second aspect, the present application provides a new energy vehicle charging control system, which adopts the following technical solutions:

[0042] A new energy vehicle charging control system, comprising:

[0043] An information acquisition module is used to acquire historical vehicle charging parameters, current environmental parameters and vehicle charging standards when it is detected that the new energy vehicle is initially connected to the target charging pile for charging. The historical vehicle charging parameters are the charging reaction parameters of the battery of the new energy vehicle at each charging in the historical time period, the historical charging standards of the applied charging pile, the charging environmental parameters and the application data information of the battery after charging. The vehicle charging standard is the battery charging standard of the target charging pile;

[0044] A model analysis module, used to create and analyze the historical vehicle charging parameters to obtain a real-time state model of the battery of the new energy vehicle;

[0045] A charging simulation module, used to simulate charging of the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain simulated charging data;

[0046] A standard adjustment module, configured to adjust the vehicle charging standard based on the simulated charging data to obtain an adjusted vehicle charging standard;

[0047] The charging control module is used to generate a charging control instruction based on the adjusted vehicle charging standard, and control the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard.

[0048] In a possible implementation, when the model analysis module performs model creation analysis on the historical vehicle charging parameters to obtain the real-time state model of the battery of the new energy vehicle, it is specifically used to:

[0049] Based on the charging environment parameters and the preset environment category standard, the historical vehicle charging parameters are divided into primary data to obtain a first vehicle charging parameter group;

[0050] Performing secondary data division on the first vehicle charging parameter group according to the historical charging standard to obtain a second vehicle charging parameter group;

[0051] Performing data feature point analysis on the application data information and charging reaction parameters in the second vehicle charging parameter group to obtain battery feature points corresponding to each parameter group;

[0052] Establishing a two-dimensional battery application scatter plot, and importing the battery characteristic points into the two-dimensional battery application scatter plot according to a time series, to obtain first distribution information corresponding to the application data information and second distribution information corresponding to the charging reaction parameter;

[0053] Performing periodic variation analysis on the first distribution information and the second distribution information to obtain first periodic variation information corresponding to the charging reaction parameter and second periodic variation information corresponding to the application data information when the battery applies different charging standards under different environmental parameters;

[0054] Predict and analyze the charging reaction parameters and the application data information respectively according to the first periodic change information and the second periodic change information, so as to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period;

[0055] An application model of the battery is constructed based on the future reaction parameters and the future application data to obtain a real-time state model corresponding to when the battery applies different charging standards under different environmental parameters.

[0056] In another possible implementation, when the charging simulation module simulates charging of the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain simulated charging data, it is specifically used to:

[0057] Matching the current environmental parameters with the environmental parameters in the real-time state model to obtain charging state models corresponding to different charging standards;

[0058] Based on the charging state model, the new energy vehicles are respectively simulated charged to obtain simulated charging reaction parameters and simulated application data information corresponding to each charging standard;

[0059] Determine the target charging reaction parameter and target application data information corresponding to the vehicle charging standard and the reference charging reaction parameter and reference application data information corresponding to other charging standards based on the simulated charging reaction parameter and the simulated application data information;

[0060] The target charging reaction parameter, the target application data information, the reference charging reaction parameter and the reference application data information are sorted and arranged to obtain simulated charging data.

[0061] In another possible implementation, when the standard adjustment module adjusts the vehicle charging standard based on the simulated charging data to obtain the adjusted vehicle charging standard, it is specifically used to:

[0062] Based on a preset battery evaluation standard, the target charging reaction parameter, the target application data information, the reference charging reaction parameter, and the reference application data information in the simulated charging data are evaluated to obtain charging application scores corresponding to different charging standards of the battery at different charging time nodes;

[0063] Optimizing and screening the charging application scores to obtain a charging standard group with the best charging application scores for the battery at different charging time nodes;

[0064] Arranging the charging standard groups according to charging time nodes, and determining a charging combination standard corresponding to the battery based on the sorted charging standard groups;

[0065] The vehicle charging standard is adjusted according to the charging combination standard to obtain an adjusted vehicle charging standard.

[0066] In another possible implementation, when the model analysis module performs periodic change analysis on the first distribution information and the second distribution information to obtain first periodic change information corresponding to the charging reaction parameter and second periodic change information corresponding to the application data information when the battery applies different charging standards under different environmental parameters, it is specifically used to:

[0067] Performing unsupervised time series data sorting on the first distribution information and the second distribution information to obtain a first distribution data matrix corresponding to the first distribution information and a second distribution data matrix corresponding to the second distribution information;

[0068] Performing basic data distribution exploration on the first distribution data matrix and the second distribution data matrix respectively, to obtain a first periodic law of the charging reaction parameter when the battery applies different charging standards under different environmental parameters and a second periodic law corresponding to the application data information;

[0069] Determine a first time period length corresponding to the charging reaction parameter and a second time period length corresponding to the application data information based on the first periodic rule and the second periodic rule;

[0070] Based on the first time period length and the second time period length, supervised time series data sorting is performed on the first distribution data matrix and the second distribution data matrix to obtain first periodic change information corresponding to the charging reaction parameters when the battery applies different charging standards under different environmental parameters and second periodic change information corresponding to the application data information.

[0071] In another possible implementation, the model analysis module predicts and analyzes the charging reaction parameters and the application data information according to the first periodic change information and the second periodic change information, respectively, to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period, specifically for:

[0072] Processing the data included in the first periodic change information and the second periodic change information to obtain first periodic sequence data and second periodic sequence data;

[0073] The first cycle sequence data and the second cycle sequence data are respectively input into a preset algorithm model for data calculation to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period.

[0074] In another possible implementation, the system further includes: a power acquisition module and a power confirmation module, wherein:

[0075] The power acquisition module is used to collect the actual charging power of the charging pile for the new energy vehicle, and compare the actual charging power with the charging power to obtain a power comparison result;

[0076] The power confirmation module is used to determine whether there is an abnormality in the power comparison result. If so, power abnormality information is generated, and power compensation or power attenuation is performed on the actual charging stage power based on the power abnormality information, and the actual charging stage power is compared with the charging stage power to obtain a power comparison result, and the step of determining whether there is an abnormality in the power comparison result is repeated until there is no abnormality in the power comparison result, and the abnormality includes that the relative value between the actual charging stage power and the charging stage power does not satisfy a preset power difference range.

[0077] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0078] at least one processor;

[0079] Memory;

[0080] At least one application, wherein at least one application is stored in a memory and configured to be executed by at least one processor, and at least one application is configured to: execute a new energy vehicle charging management and control method as described in any one of the first aspects.

[0081] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0082] A computer-readable storage medium stores a computer program, which, when executed in a computer, causes the computer to execute any new energy vehicle charging control method of the first aspect.

[0083] In summary, the present application includes at least one of the following beneficial technical effects:

[0084] By adopting the above technical solution, when the new energy vehicle is initially connected to the target charging pile, the system can quickly obtain diversified historical charging parameters, current environmental parameters and vehicle charging standards. The comprehensive consideration of this information provides detailed data support for the charging process of new energy vehicles. In particular, the historical vehicle charging parameters reflect the charging performance of new energy vehicles under different conditions, providing a rich data basis for subsequent model creation. Then, the historical vehicle charging parameters are modeled and analyzed to obtain a real-time state model of the new energy vehicle battery. This model can accurately reflect the current state of the battery and provide a reliable basis for subsequent simulated charging. The simulated charging combined with the current environmental parameters and the vehicle charging standards can predict the charging effect under different conditions. Based on the simulated charging data, the vehicle charging standards can be adjusted to obtain a charging standard that is more in line with the actual needs of new energy vehicles. This dynamic adjustment strategy not only improves the charging efficiency, but also ensures the safety of the charging process. The charging control instructions finally generated can control the charging pile to charge according to the adjusted charging stage power, realizing the intelligent and personalized charging process. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 A flow chart of a new energy vehicle charging control method provided in an embodiment of the present application.

[0086] Figure 2 A schematic diagram of the structure of a new energy vehicle charging control system provided in an embodiment of the present application.

[0087] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0088] The following is combined with Figure 1-3 This application is described in further detail.

[0089] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0090] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0091] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0092] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0093] The embodiment of the present application provides a method for a new energy vehicle charging control method, which is executed by an electronic device, wherein the electronic device can be an independent physical electronic device, or an electronic device cluster or distributed system composed of multiple physical electronic devices, or a cloud electronic device that provides cloud computing services. The embodiment of the present application is not limited here, such as Figure 1 As shown, the method includes:

[0094] Step S10: When it is detected that the new energy vehicle is initially connected to the target charging pile for charging, historical vehicle charging parameters, current environmental parameters and vehicle charging standards are obtained.

[0095] Among them, the historical vehicle charging parameters are the charging reaction parameters of the battery during each charging of the new energy vehicle in the historical time period, the historical charging standards of the charging pile used, the charging environment parameters and the application data information of the battery after charging. The vehicle charging standard is the battery charging standard of the target charging pile.

[0096] For the embodiment of the present application, the target charging pile refers to a device that provides charging services for new energy vehicles and has a specific battery charging standard. The historical vehicle charging parameters represent the charging reaction parameters of the battery (such as charging speed, temperature change, etc.) each time the new energy vehicle is charged in the past time period, the historical charging standard of the charging pile used, the charging environment parameters at that time (such as temperature, humidity), and the application data information of the battery after charging (such as cruising range, battery health status, etc.). The current environmental parameters refer to the real-time environmental data when the new energy vehicle is initially connected to the target charging pile for charging, such as temperature, humidity, wind speed, etc. The vehicle charging standard refers to the battery charging standard followed by the target charging pile, which specifies the voltage, current, power and other parameters of the charging pile when charging.

[0097] In the embodiment of the present application, the system first establishes a connection with the vehicle-mounted communication module of the new energy vehicle and reads the historical charging records from the vehicle's memory, including the battery charging reaction parameters, the historical charging standards of the applied charging piles, and other information. Secondly, the system interacts with the communication interface of the charging pile to obtain the battery charging standard of the charging pile. Finally, the system obtains the current environmental parameters in real time through the integrated environmental sensor or external meteorological service interface.

[0098] Step S11: Create and analyze the historical vehicle charging parameters to obtain a real-time status model of the battery required for the new energy vehicle.

[0099] Specifically, based on the charging environment parameters and the preset environment category standards, the historical vehicle charging parameters are divided into primary data to obtain a first vehicle charging parameter group, and the first vehicle charging parameter group is divided into secondary data according to the historical charging standards to obtain a second vehicle charging parameter group, and the application data information and the charging reaction parameters in the second vehicle charging parameter group are analyzed for data feature points to obtain the battery feature points corresponding to each parameter group, and a two-dimensional battery application scatter plot is established, and the battery feature points are imported into the two-dimensional battery application scatter plot according to the time series to obtain the first distribution information corresponding to the application data information and the second distribution information corresponding to the charging reaction parameters, and the first distribution information is analyzed with the data feature point analysis function. The first cycle change information and the second cycle change information are used to perform a periodic change analysis on the battery, and the first cycle change information corresponding to the charging reaction parameters when the battery applies different charging standards under different environmental parameters and the second cycle change information corresponding to the application data information are obtained. The charging reaction parameters and the application data information are respectively predicted and analyzed according to the first cycle change information and the second cycle change information, and future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period are obtained. An application model of the battery is constructed based on the future reaction parameters and the future application data, and a real-time status model corresponding to the battery applying different charging standards under different environmental parameters is obtained.

[0100] For the embodiments of the present application, the preset environment category standard refers to a series of standards for classifying charging environment categories that are set in advance based on the characteristics of the charging environment and the charging needs of new energy vehicles. These standards are formulated based on historical data and industry standards, and are intended to divide the charging environment into different categories so as to perform more accurate analysis of charging parameters in different environments.

[0101] Specifically, a periodic change analysis is performed on the first distribution information and the second distribution information to obtain first periodic change information corresponding to the charging reaction parameters when the battery applies different charging standards under different environmental parameters and second periodic change information corresponding to the application data information, including: unsupervised time series data sorting is performed on the first distribution information and the second distribution information to obtain a first distribution data matrix corresponding to the first distribution information and a second distribution data matrix corresponding to the second distribution information, basic data distribution exploration is performed on the first distribution data matrix and the second distribution data matrix respectively to obtain a first periodic law of the charging reaction parameters when the battery applies different charging standards under different environmental parameters and a second periodic law corresponding to the application data information, based on the first periodic law and the second periodic law, a first time period length corresponding to the charging reaction parameters and a second time period length corresponding to the application data information are determined, and supervised time series data sorting is performed on the first distribution data matrix and the second distribution data matrix based on the first time period length and the second time period length to obtain first periodic change information corresponding to the charging reaction parameters when the battery applies different charging standards under different environmental parameters and a second periodic change information corresponding to the application data information.

[0102] Specifically, the charging reaction parameters and application data information are predicted and analyzed according to the first cycle change information and the second cycle change information, respectively, to obtain future reaction parameters and future application data corresponding to the battery when different charging standards are applied under different environmental parameters in a future preset time period, including: processing the data contained in the first cycle change information and the second cycle change information to obtain first cycle sequence data and second cycle sequence data, inputting the first cycle sequence data and the second cycle sequence data into a preset algorithm model for data extrapolation, respectively, to obtain future reaction parameters and future application data corresponding to the battery when different charging standards are applied under different environmental parameters in a future preset time period.

[0103] For the embodiment of the present application, the preset algorithm model is a bidirectional LSTM model, including but not limited to a bidirectional LSTM model.

[0104] Step S12: Simulate charging of the new energy vehicle based on the real-time state model, current environmental parameters and vehicle charging standards to obtain simulated charging data.

[0105] Specifically, the current environmental parameters are matched with the environmental parameters in the real-time status model to obtain charging status models corresponding to different charging standards, and the new energy vehicles are simulated for charging based on the charging status models to obtain simulated charging reaction parameters and simulated application data information corresponding to each charging standard, and the target charging reaction parameters and target application data information corresponding to the vehicle charging standard and the reference charging reaction parameters and reference application data information corresponding to the remaining charging standards are determined based on the simulated charging reaction parameters and the simulated application data information, and the target charging reaction parameters, target application data information, reference charging reaction parameters and reference application data information are sorted and arranged to obtain simulated charging data.

[0106] Step S13: adjusting the vehicle charging standard based on the simulated charging data to obtain an adjusted vehicle charging standard.

[0107] Specifically, based on the preset battery evaluation standard, the target charging reaction parameters, target application data information, reference charging reaction parameters and reference application data information in the simulated charging data are evaluated to obtain the charging application scores corresponding to different charging standards of the battery at different charging time nodes, and the charging application scores are optimized and screened to obtain the charging standard group with the best charging application score of the battery at different charging time nodes. The charging standard groups are arranged according to the charging time nodes, and the charging combination standard corresponding to the battery is determined based on the sorted charging standard groups. The vehicle charging standard is adjusted according to the charging combination standard to obtain the adjusted vehicle charging standard.

[0108] For the embodiments of the present application, the preset battery evaluation standard represents a series of evaluation indicators, weights and scoring standards that have been set before the battery charging performance evaluation is performed. These standards are used to guide how to quantitatively evaluate the various parameters in the simulated charging data to ensure the objectivity and accuracy of the evaluation results. The charging application score is a score used to quantitatively represent the charging performance of the battery at different charging time nodes and different charging standards. This score is the result of evaluating the simulated charging data according to the preset battery evaluation standard, which reflects the comprehensive performance of the battery under different charging conditions.

[0109] In the embodiment of the present application, a machine learning algorithm is used to mine and analyze the simulated charging data to discover the potential laws and characteristics of battery charging performance under different charging conditions. Then, based on these laws and characteristics, a preset battery evaluation standard is constructed.

[0110] Step S14: Generate a charging control instruction based on the adjusted vehicle charging standard, and control the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard.

[0111] In the embodiment of the present application, when the new energy vehicle is initially connected to the target charging pile, the system can quickly obtain diversified historical charging parameters, current environmental parameters and vehicle charging standards. The comprehensive consideration of this information provides detailed data support for the charging process of new energy vehicles. In particular, the historical vehicle charging parameters reflect the charging performance of new energy vehicles under different conditions, providing a rich data basis for subsequent model creation. Then, the historical vehicle charging parameters are modeled and analyzed to obtain a real-time state model of the new energy vehicle battery. This model can accurately reflect the current state of the battery and provide a reliable basis for subsequent simulated charging. The simulated charging combined with the current environmental parameters and the vehicle charging standards can predict the charging effect under different conditions, and adjust the vehicle charging standards based on the simulated charging data to obtain a charging standard that is more in line with the actual needs of new energy vehicles. This dynamic adjustment strategy not only improves the charging efficiency, but also ensures the safety of the charging process. The charging control instructions finally generated can control the charging pile to charge according to the adjusted charging stage power, realizing the intelligence and personalization of the charging process.

[0112] A possible implementation method of the embodiment of the present application is to control the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard, and then also include: collecting the actual charging stage power of the charging pile for the new energy vehicle, and comparing the actual charging stage power with the charging stage power to obtain a power comparison result, and judging whether there is an abnormality in the power comparison result, if so, generating power abnormality information, and performing power compensation or power attenuation on the actual charging stage power based on the power abnormality information, and repeatedly comparing the actual charging stage power with the charging stage power to obtain a power comparison result, and judging whether there is an abnormality in the power comparison result, until there is no abnormality in the power comparison result, the abnormality includes that the relative value between the actual charging stage power and the charging stage power does not satisfy the preset power difference range.

[0113] The following is an introduction to a new energy vehicle charging control system provided in an embodiment of the present application. The new energy vehicle charging control system described below and the new energy vehicle charging control method described above can be referred to each other. Please refer to Figure 2 , Figure 2 : is a structural diagram of a new energy vehicle charging control system 20 provided in an embodiment of the present application, including:

[0114] The information acquisition module 21 is used to acquire historical vehicle charging parameters, current environmental parameters and vehicle charging standards when it is detected that the new energy vehicle is initially connected to the target charging pile for charging. The historical vehicle charging parameters are the charging reaction parameters of the battery during each charging of the new energy vehicle in the historical time period, the historical charging standards of the applied charging pile, the charging environmental parameters and the application data information of the battery after charging. The vehicle charging standard is the battery charging standard of the target charging pile;

[0115] The model analysis module 22 is used to create and analyze the historical vehicle charging parameters to obtain a real-time state model of the battery of the new energy vehicle;

[0116] The charging simulation module 23 is used to simulate charging of the new energy vehicle based on the real-time state model, current environmental parameters and vehicle charging standards to obtain simulated charging data;

[0117] A standard adjustment module 24, configured to adjust the vehicle charging standard based on the simulated charging data to obtain an adjusted vehicle charging standard;

[0118] The charging control module 25 is used to generate a charging control instruction based on the adjusted vehicle charging standard, and control the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard.

[0119] In a possible implementation of the embodiment of the present application, when the model analysis module 22 performs model creation analysis on historical vehicle charging parameters to obtain a real-time state model of the battery of the new energy vehicle, it is specifically used to:

[0120] Performing a primary data division on historical vehicle charging parameters based on charging environment parameters and preset environment category standards to obtain a first vehicle charging parameter group;

[0121] Performing secondary data division on the first vehicle charging parameter group according to the historical charging standard to obtain a second vehicle charging parameter group;

[0122] Performing data feature point analysis on the application data information and charging reaction parameters in the second vehicle charging parameter group to obtain battery feature points corresponding to each parameter group;

[0123] Establishing a two-dimensional battery application scatter plot, and importing the battery characteristic points into the two-dimensional battery application scatter plot according to a time series, to obtain first distribution information corresponding to the application data information and second distribution information corresponding to the charging reaction parameter;

[0124] Performing periodic variation analysis on the first distribution information and the second distribution information to obtain first periodic variation information corresponding to the charging reaction parameters when the battery applies different charging standards under different environmental parameters and second periodic variation information corresponding to the application data information;

[0125] Predict and analyze the charging reaction parameters and application data information respectively according to the first cycle change information and the second cycle change information, and obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters in a future preset time period;

[0126] The application model of the battery is constructed based on future reaction parameters and future application data to obtain a real-time status model corresponding to when the battery applies different charging standards under different environmental parameters.

[0127] In another possible implementation of the embodiment of the present application, the charging simulation module 23 simulates charging of the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain the simulated charging data, specifically for:

[0128] Match the current environmental parameters with the environmental parameters in the real-time state model to obtain the charging state models corresponding to different charging standards;

[0129] Based on the charging state model, the new energy vehicles are simulated for charging, and the simulated charging reaction parameters and simulated application data information corresponding to each charging standard are obtained;

[0130] Determine, based on the simulated charging reaction parameters and the simulated application data information, a target charging reaction parameter and target application data information corresponding to the vehicle charging standard and a reference charging reaction parameter and reference application data information corresponding to other charging standards;

[0131] The target charging reaction parameters, the target application data information, the reference charging reaction parameters and the reference application data information are sorted and arranged to obtain simulated charging data.

[0132] In another possible implementation of the embodiment of the present application, when the standard adjustment module 24 adjusts the vehicle charging standard based on the simulated charging data to obtain the adjusted vehicle charging standard, it is specifically used to:

[0133] Based on the preset battery evaluation standard, the target charging reaction parameters, target application data information, reference charging reaction parameters and reference application data information in the simulated charging data are evaluated to obtain the charging application scores corresponding to different charging standards of the battery at different charging time nodes;

[0134] Optimize and screen the charging application scores to obtain the charging standard group with the best charging application scores for the battery at different charging time nodes;

[0135] Arrange the charging standard groups according to the charging time nodes, and determine the charging combination standard corresponding to the battery based on the sorted charging standard groups;

[0136] The vehicle charging standard is adjusted according to the charging combination standard to obtain an adjusted vehicle charging standard.

[0137] In another possible implementation of the embodiment of the present application, the model analysis module 22 performs periodic change analysis on the first distribution information and the second distribution information to obtain first periodic change information corresponding to the charging reaction parameter when the battery applies different charging standards under different environmental parameters and second periodic change information corresponding to the application data information, specifically for:

[0138] Performing unsupervised time series data sorting on the first distribution information and the second distribution information to obtain a first distribution data matrix corresponding to the first distribution information and a second distribution data matrix corresponding to the second distribution information;

[0139] Performing basic data distribution exploration on the first distribution data matrix and the second distribution data matrix respectively, obtaining a first periodic law of charging reaction parameters when the battery applies different charging standards under different environmental parameters and a second periodic law corresponding to the application data information;

[0140] Determine a first time period length corresponding to the charging reaction parameter and a second time period length corresponding to the application data information based on the first periodic rule and the second periodic rule;

[0141] Based on the first time period length and the second time period length, supervised time series data sorting is performed on the first distribution data matrix and the second distribution data matrix to obtain first cycle change information corresponding to the charging reaction parameters when the battery applies different charging standards under different environmental parameters and second cycle change information corresponding to the application data information.

[0142] In another possible implementation of the embodiment of the present application, the model analysis module 22 predicts and analyzes the charging reaction parameters and the application data information according to the first cycle change information and the second cycle change information, respectively, to obtain the future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters in the future preset time period, specifically for:

[0143] Processing the data included in the first periodic change information and the second periodic change information to obtain first periodic sequence data and second periodic sequence data;

[0144] The first cycle sequence data and the second cycle sequence data are respectively input into the preset algorithm model for data calculation to obtain future reaction parameters and future application data corresponding to different charging standards applied to the battery under different environmental parameters in a future preset time period.

[0145] In another possible implementation of the embodiment of the present application, the system 20 further includes: a power acquisition module and a power confirmation module, wherein:

[0146] The power acquisition module is used to collect the actual charging power of the charging pile for the new energy vehicle, and compare the actual charging power with the charging power to obtain the power comparison result;

[0147] The power confirmation module is used to determine whether there is an abnormality in the power comparison result. If so, power abnormality information is generated, and power compensation or power attenuation is performed on the actual charging stage power based on the power abnormality information, and the actual charging stage power is compared with the charging stage power to obtain the power comparison result, and the step of determining whether there is an abnormality in the power comparison result is repeated until there is no abnormality in the power comparison result. The abnormality includes that the relative value between the actual charging stage power and the charging stage power does not meet the preset power difference range.

[0148] The present application embodiment provides an electronic device, such as Figure 3 As shown, Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0149] Processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FP6A (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of the embodiments of the present application. Processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0150] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0151] The memory 303 can be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disk Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited to these.

[0152] The memory 303 is used to store application code for executing the solution of the embodiment of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the above method embodiment.

[0153] Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0154] A computer-readable storage medium provided in an embodiment of the present application is introduced below. The computer-readable storage medium described below and the method described above can be referenced to each other.

[0155] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned new energy vehicle charging control method are implemented.

[0156] Since the embodiments of the computer-readable storage medium part and the embodiments of the method part correspond to each other, the embodiments of the computer-readable storage medium part refer to the description of the embodiments of the method part.

[0157] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0158] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A new energy vehicle charging control method, characterized in that: include: When it is detected that the new energy vehicle is initially connected to the target charging pile for charging, historical vehicle charging parameters, current environmental parameters and vehicle charging standards are obtained, wherein the historical vehicle charging parameters are the charging reaction parameters of the battery of the new energy vehicle at each charging in the historical time period, the historical charging standard of the applied charging pile, the charging environmental parameters and the application data information of the battery after charging, and the vehicle charging standard is the battery charging standard of the target charging pile; Performing model creation and analysis on the historical vehicle charging parameters to obtain a real-time state model of the battery used in the new energy vehicle; The model creation and analysis of the historical vehicle charging parameters to obtain a real-time state model of the battery used in the new energy vehicle includes: Performing primary data division on historical vehicle charging parameters based on the charging environment parameters and preset environment category standards to obtain a first vehicle charging parameter group, wherein the preset environment category standards refer to a series of standards for dividing charging environment categories that are set in advance according to the characteristics of the charging environment and the demand for charging of new energy vehicles; Performing secondary data division on the first vehicle charging parameter group according to the historical charging standard to obtain a second vehicle charging parameter group; Performing data feature point analysis on the application data information and charging reaction parameters in the second vehicle charging parameter group to obtain battery feature points corresponding to each parameter group; Establishing a two-dimensional battery application scatter plot, and importing the battery characteristic points into the two-dimensional battery application scatter plot according to a time series, to obtain first distribution information corresponding to the application data information and second distribution information corresponding to the charging reaction parameter; Performing periodic variation analysis on the first distribution information and the second distribution information to obtain first periodic variation information corresponding to the charging reaction parameter and second periodic variation information corresponding to the application data information when the battery applies different charging standards under different environmental parameters; Predict and analyze the charging reaction parameters and the application data information respectively according to the first periodic change information and the second periodic change information, so as to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period; Constructing an application model of the battery based on the future reaction parameters and the future application data to obtain a real-time state model corresponding to when the battery applies different charging standards under different environmental parameters; Performing simulated charging on the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain simulated charging data; The simulating charging of the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain the simulated charging data includes: Matching the current environmental parameters with the environmental parameters in the real-time state model to obtain charging state models corresponding to different charging standards; Based on the charging state model, the new energy vehicles are respectively simulated charged to obtain simulated charging reaction parameters and simulated application data information corresponding to each charging standard; Determine the target charging reaction parameter and target application data information corresponding to the vehicle charging standard and the reference charging reaction parameter and reference application data information corresponding to other charging standards based on the simulated charging reaction parameter and the simulated application data information; Arrange the target charging reaction parameter, the target application data information, the reference charging reaction parameter and the reference application data information to obtain simulated charging data; Adjusting the vehicle charging standard based on the simulated charging data to obtain an adjusted vehicle charging standard; The adjusting the vehicle charging standard based on the simulated charging data to obtain an adjusted vehicle charging standard includes: Based on a preset battery evaluation standard, the target charging reaction parameter, the target application data information, the reference charging reaction parameter, and the reference application data information in the simulated charging data are evaluated to obtain charging application scores corresponding to different charging standards of the battery at different charging time nodes; Optimizing and screening the charging application scores to obtain a charging standard group with the best charging application scores for the battery at different charging time nodes; Arranging the charging standard groups according to charging time nodes, and determining a charging combination standard corresponding to the battery based on the sorted charging standard groups; Adjusting the vehicle charging standard according to the charging combination standard to obtain an adjusted vehicle charging standard; A charging control instruction is generated based on the adjusted vehicle charging standard to control the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard.

2. A new energy vehicle charging control method according to claim 1, characterized in that: The performing periodic variation analysis on the first distribution information and the second distribution information to obtain first periodic variation information corresponding to the charging reaction parameter and second periodic variation information corresponding to the application data information when the battery applies different charging standards under different environmental parameters includes: Performing unsupervised time series data sorting on the first distribution information and the second distribution information to obtain a first distribution data matrix corresponding to the first distribution information and a second distribution data matrix corresponding to the second distribution information; Performing basic data distribution exploration on the first distribution data matrix and the second distribution data matrix respectively, to obtain a first periodic law of the charging reaction parameter when the battery applies different charging standards under different environmental parameters and a second periodic law corresponding to the application data information; Determine a first time period length corresponding to the charging reaction parameter and a second time period length corresponding to the application data information based on the first periodic rule and the second periodic rule; Based on the first time period length and the second time period length, supervised time series data sorting is performed on the first distribution data matrix and the second distribution data matrix to obtain first periodic change information corresponding to the charging reaction parameters when the battery applies different charging standards under different environmental parameters and second periodic change information corresponding to the application data information.

3. A new energy vehicle charging control method according to claim 2, characterized in that: The predicting and analyzing the charging reaction parameters and the application data information respectively according to the first periodic change information and the second periodic change information to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period includes: Processing the data included in the first periodic change information and the second periodic change information to obtain first periodic sequence data and second periodic sequence data; The first cycle sequence data and the second cycle sequence data are respectively input into a preset algorithm model for data calculation to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period.

4. A new energy vehicle charging control method according to claim 1, characterized in that: The step of controlling the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard further includes: Collecting the actual charging power of the new energy vehicle by the charging pile during the charging stage, and comparing the actual charging power with the charging power during the charging stage to obtain a power comparison result; Determine whether there is an abnormality in the power comparison result. If so, generate power abnormality information, and perform power compensation or power attenuation on the actual charging stage power based on the power abnormality information, and repeat the steps of comparing the actual charging stage power with the charging stage power to obtain a power comparison result, and determine whether there is an abnormality in the power comparison result, until there is no abnormality in the power comparison result, the abnormality includes that the relative value between the actual charging stage power and the charging stage power does not satisfy a preset power difference range.

5. A new energy vehicle charging control system, characterized in that: include: An information acquisition module is used to acquire historical vehicle charging parameters, current environmental parameters and vehicle charging standards when it is detected that the new energy vehicle is initially connected to the target charging pile for charging. The historical vehicle charging parameters are the charging reaction parameters of the battery of the new energy vehicle at each charging in the historical time period, the historical charging standards of the applied charging pile, the charging environmental parameters and the application data information of the battery after charging. The vehicle charging standard is the battery charging standard of the target charging pile; A model analysis module, used to create and analyze the historical vehicle charging parameters to obtain a real-time state model of the battery used in the new energy vehicle; When the model analysis module performs model creation analysis on the historical vehicle charging parameters to obtain a real-time state model of the battery used in the new energy vehicle, it is specifically used to: Based on the charging environment parameters and the preset environment category standard, the historical vehicle charging parameters are divided into primary data to obtain a first vehicle charging parameter group; Performing secondary data division on the first vehicle charging parameter group according to the historical charging standard to obtain a second vehicle charging parameter group; Performing data feature point analysis on the application data information and charging reaction parameters in the second vehicle charging parameter group to obtain battery feature points corresponding to each parameter group; Establishing a two-dimensional battery application scatter plot, and importing the battery characteristic points into the two-dimensional battery application scatter plot according to a time series, to obtain first distribution information corresponding to the application data information and second distribution information corresponding to the charging reaction parameter; Performing periodic variation analysis on the first distribution information and the second distribution information to obtain first periodic variation information corresponding to the charging reaction parameter and second periodic variation information corresponding to the application data information when the battery applies different charging standards under different environmental parameters; Predict and analyze the charging reaction parameters and the application data information respectively according to the first periodic change information and the second periodic change information, so as to obtain future reaction parameters and future application data corresponding to the battery applying different charging standards under different environmental parameters within a future preset time period; Constructing an application model of the battery based on the future reaction parameters and the future application data to obtain a real-time state model corresponding to when the battery applies different charging standards under different environmental parameters; A charging simulation module, used to simulate charging of the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain simulated charging data; When the charging simulation module simulates charging of the new energy vehicle based on the real-time state model, the current environmental parameters and the vehicle charging standard to obtain simulated charging data, it is specifically used to: Matching the current environmental parameters with the environmental parameters in the real-time state model to obtain charging state models corresponding to different charging standards; Based on the charging state model, the new energy vehicles are respectively simulated charged to obtain simulated charging reaction parameters and simulated application data information corresponding to each charging standard; Determine the target charging reaction parameter and target application data information corresponding to the vehicle charging standard and the reference charging reaction parameter and reference application data information corresponding to other charging standards based on the simulated charging reaction parameter and the simulated application data information; Arrange the target charging reaction parameter, the target application data information, the reference charging reaction parameter and the reference application data information to obtain simulated charging data; A standard adjustment module, configured to adjust the vehicle charging standard based on the simulated charging data to obtain an adjusted vehicle charging standard; When the standard adjustment module adjusts the vehicle charging standard based on the simulated charging data to obtain the adjusted vehicle charging standard, it is specifically used to: Based on a preset battery evaluation standard, the target charging reaction parameter, the target application data information, the reference charging reaction parameter, and the reference application data information in the simulated charging data are evaluated to obtain charging application scores corresponding to different charging standards of the battery at different charging time nodes; Optimizing and screening the charging application scores to obtain a charging standard group with the best charging application scores for the battery at different charging time nodes; Arranging the charging standard groups according to charging time nodes, and determining a charging combination standard corresponding to the battery based on the sorted charging standard groups; Adjusting the vehicle charging standard according to the charging combination standard to obtain an adjusted vehicle charging standard; The charging control module is used to generate a charging control instruction based on the adjusted vehicle charging standard, and control the charging pile to charge the new energy vehicle according to the charging stage power in the adjusted vehicle charging standard.

6. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a new energy vehicle charging control method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and executes a new energy vehicle charging control method as described in any one of claims 1 to 4.

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