A dynamic balancing charging method and system for electric vehicles with a dual-gun structure

Abstract

The present application discloses a method and system for dynamic balanced charging of an electric vehicle with a dual-gun structure, the method comprising collecting vehicle charging demand, vehicle battery status information and charging pile status information; determining an overall charging strategy; dynamically adjusting the charging parameters of each charging gun based on the overall charging strategy, in combination with the real-time status changes of the vehicle battery during the charging process, and the power output capacity of the vehicle charging pile; monitoring the partition parameter detection information during the charging process, comparing the partition parameter detection information with the corresponding preset safety threshold, and if the partition parameter detection information is outside the corresponding preset safety threshold range, triggering a partition load change information collection instruction; obtaining dual-gun adjustment parameter information according to the partition load change information collection instruction; triggering a charging pile adjustment instruction according to the dual-gun adjustment parameter information; the present application effectively solves the problems of low charging efficiency and load balancing in the existing dual-gun dynamic balanced charging system, and improves the charging efficiency.

Description

Technical Field

[0001] The present application relates to the field of charging pile charging technology, and in particular to a dynamic balance charging method and system for an electric vehicle with a double-gun structure. Background Art

[0002] With the popularity of electric vehicles, the demand for charging infrastructure is growing, especially in high-density usage scenarios such as corporate parks. Efficient charging systems are essential to improving user experience and meeting daily needs. As an advanced charging solution, the dual-gun dynamic balance charging system can provide charging services for multiple electric vehicles at the same time, but there are still some technical challenges.

[0003] Existing dual-gun dynamic balanced charging systems usually rely on fixed power distribution and simple load management strategies. These systems have certain limitations in charging efficiency and load balancing. For example, low charging efficiency may cause users to wait too long, and load imbalance may cause some charging guns to be overloaded while other charging guns are idle. In other words, the load management is relatively simple and cannot effectively respond to the charging needs of different vehicles, resulting in load imbalance. Therefore, there is room for improvement. Summary of the invention

[0004] In order to effectively solve the problems of low charging efficiency and load balancing in the existing dual-gun dynamic balance charging system and improve the charging efficiency, the present application provides a dynamic balance charging method and system for an electric vehicle with a dual-gun structure.

[0005] In the first aspect, the invention objective of the present application is achieved by adopting the following technical solutions:

[0006] A dynamic balanced charging method for an electric vehicle with a double-gun structure, comprising a vehicle charging pile with a double-gun structure, the method comprising:

[0007] Collect the target user's car charging needs and the corresponding vehicle battery status information, obtain the charging pile status information of several car charging piles in the target charging area; and determine the overall charging strategy;

[0008] Based on the overall charging strategy, combined with the real-time state changes of the vehicle battery during the charging process and the power output capacity of the car charging pile with a dual-gun structure, the charging parameters of each charging gun are dynamically adjusted;

[0009] Monitor the partition parameter detection information during the charging process in real time, and compare the partition parameter detection information with the corresponding preset safety threshold. If the partition parameter detection information is outside the corresponding preset safety threshold range, trigger the partition load change information collection instruction;

[0010] According to the partition load change information collection instruction, obtain dual-gun adjustment parameter information;

[0011] According to the dual-gun adjustment parameter information, a charging pile adjustment instruction is triggered.

[0012] By adopting the above technical scheme, the present invention provides an electric vehicle dynamic balance charging system with dynamic parameter adjustment, safety detection and feedback, intelligent response and adjustment, which improves charging efficiency, optimizes the load balancing of charging piles, and enhances safety; specifically, by collecting the target user's car charging needs and vehicle battery status information (such as battery remaining power, maximum allowable charging current, etc.), and the status information of multiple car charging piles in the target charging area (such as the working status of the charging piles, the maximum charging power that can be provided, etc.), and then comprehensively considering the user's needs, the vehicle battery status and the actual capacity of the charging piles, an optimized overall charging strategy is determined, which is conducive to ensuring that the charging process not only meets the user's needs, but also takes into account the safety and charging efficiency of the system; then during the charging process, the system will continue to monitor the changes in the status of the vehicle battery (such as temperature, current, power) in real time The dynamic platform charging system can detect the parameters of each partition of the target area in real time and compare them with the preset safety threshold. Once any parameter is found to be out of the safety range, the corresponding load change information collection instruction is immediately triggered to collect abnormal data in the charging process in time and make adjustments to ensure the safety of the charging process. Finally, after receiving the partition load change information, the system can quickly calculate the new dual-gun adjustment parameters and issue the charging pile adjustment instruction accordingly to ensure that the charging process is always in the best state. Therefore, the present invention effectively solves the problems of low charging efficiency and load balancing in the existing dual-gun dynamic balance charging system and improves the charging efficiency.

[0013] In a preferred example of the present application, the method of collecting the target user's car charging needs and the corresponding vehicle battery status information, obtaining the charging pile status information of several car charging piles in the target charging area, and determining the overall charging strategy specifically includes:

[0014] Acquire charging demand data of the user from the charging demand, and acquire current status information of the vehicle battery based on the charging demand data and the internal sensor network of the vehicle to obtain vehicle battery status information;

[0015] Acquire charging pile status information of several automobile charging piles in the target charging area; take each automobile charging pile with a dual-gun structure as a basic unit, evaluate the charging capacity according to a preset first evaluation factor, obtain a corresponding charging efficiency index, and calculate the optimal charging power of each charging gun according to the corresponding charging efficiency index;

[0016] Taking each car charging pile with a double-gun structure as a basic unit, the load adaptability data of the charging system is calculated according to the preset second evaluation factor;

[0017] A comprehensive analysis is performed based on the charging efficiency index and load adaptability data corresponding to each charging gun to obtain the best charging solution and determine the overall charging strategy.

[0018] By adopting the above technical solution, the dynamic balancing charging system of electric vehicles obtains the user's charging demand data in real time through the communication interface, including charging time, charging amount, etc., so as to solve the problem of isolation of charging demand and battery status information in the prior art. By comprehensively analyzing user needs and battery status, the pertinence and efficiency of charging are improved. The charging pile status information of the car charging pile includes availability, charging power and load conditions, etc. Taking each car charging pile with a double-gun structure as the basic unit, the optimal charging power of each charging gun is calculated, which is conducive to solving the problem of unreasonable charging pile selection and charging power setting in the prior art. Through charging capacity evaluation and optimal charging power calculation, the charging efficiency and resource utilization are improved, and the efficiency and stability of the charging process are improved. Furthermore, through the calculation of the adaptability data of the charging system, the adaptability and stability of the charging pile under different load conditions are reflected, so that the charging pile can still remain stable under different congestion conditions. Finally, the optimal charging plan obtained by the optimization algorithm ensures the optimality and feasibility of the charging plan.

[0019] In a preferred example of the present application, each car charging pile with a dual-gun structure is used as a basic unit, and the charging capacity is evaluated according to a preset first evaluation factor to obtain a corresponding charging efficiency index, which specifically includes:

[0020] The first evaluation factor includes the maximum output power of the charging pile, the actual output power of the two charging guns in the charging pile, the distance between the charging pile and the power grid, the frequency of use of the charging gun and the maintenance record of the charging pile;

[0021] Taking each car charging pile with a dual-charger structure as a basic unit, determine the correlation between the two charging guns;

[0022] Based on the association relationship, all first evaluation factors of each charging gun in a single charging pile are weighted and averaged to obtain a weighted average score of the first evaluation factor of the single charging pile, wherein the weight of each first evaluation factor is pre-set according to its influence on the charging capacity;

[0023] The charging efficiency index is calculated using the weighted average score of the first evaluation factor and the comprehensive index method.

[0024] By adopting the above technical scheme, the association relationship between the two charging guns refers to the mutual influence and dependence between the two charging guns, such as sharing the same power supply and load balancing; the present invention comprehensively evaluates the charging capacity of the charging pile by collecting the maximum output power of the charging pile, the actual output power of the two charging guns, the distance between the charging pile and the power grid, the frequency of use of the charging gun and the maintenance record of the charging pile. The first evaluation factor covers the hardware performance, usage and maintenance status of the charging pile. Through multi-dimensional evaluation factors, the charging capacity of the charging pile is comprehensively evaluated to ensure the accuracy and comprehensiveness of the evaluation; through the association relationship, the influence relationship between the actual output power and charging power of the dual-gun structure car charging pile in actual use is analyzed to improve the coordination of the dual-gun charging gun in actual use; the present application adopts the method of weight assignment addition and weighted average calculation to avoid the problem of unreasonable weight distribution of multiple evaluation factors. Through scientific weight replication and weighted average calculation, the accuracy and fairness of the evaluation results are ensured, and the optimization level of the charging system is improved.

[0025] In a preferred example of the present application, each car charging pile with a double-gun structure is used as a basic unit, and the load adaptability data of the charging system is calculated according to the preset second evaluation factor, specifically including:

[0026] The second evaluation factor includes the grid load, the frequency of use of the charging pile, the distance between the charging pile and the nearest substation, the maintenance record of the charging pile, and the number of abnormal load alarms of the charging gun;

[0027] Taking each car charging pile with a dual-charger structure as a basic unit, determine the correlation between the two charging guns;

[0028] Based on the association relationship, all the second evaluation factors of each charging gun in a single charging pile are weighted and averaged to obtain a weighted average score of the second evaluation factor of the single charging pile, wherein the weight of each second evaluation factor is pre-set according to its influence on load adaptability;

[0029] The load adaptability data of the charging system is calculated using the weighted average score of the second evaluation factor and the comprehensive index method.

[0030] By adopting the above technical solution, the dynamic balancing charging system for electric vehicles comprehensively evaluates the load adaptability of the charging pile by collecting the grid load, the frequency of use of the charging pile, the distance between the charging pile and the nearest substation, the maintenance record of the charging pile, and the number of abnormal load alarms of the charging gun. The second evaluation factor covers the power supply capacity of the grid, the use of the charging pile, the physical location and the operating stability, which provides comprehensive data support for the subsequent load adaptability evaluation; further, through the calculation method of weight replication and weighted average, the accuracy and fairness of the evaluation results are ensured, and the optimization level of the charging system is improved; which is conducive to improving the comprehensiveness and scientificity of the evaluation results.

[0031] In a preferred example of the present application, the charging efficiency index and load adaptability data corresponding to each charging gun are comprehensively analyzed to obtain the best charging solution and determine the overall charging strategy, which specifically includes:

[0032] Taking each of the charging guns as a basic unit, inputting the corresponding charging efficiency index as row vector data and the corresponding load adaptability data as column vector data into a preset charging strategy optimization matrix to obtain corresponding charging priority data;

[0033] According to the charging priority data corresponding to each charging gun, the best charging plan is generated by comprehensively considering the user's charging needs, vehicle battery status, charging pile status and grid load conditions;

[0034] An overall charging strategy is obtained based on the optimal charging solution.

[0035] By adopting the above technical solution, the load adaptability data is used to measure the load adaptability of the charging pile, and the charging strategy optimization matrix is ​​a matrix for comprehensively analyzing the charging efficiency index and the load adaptability data to help determine the charging priority; the optimal charging solution is the optimal charging solution generated by comprehensively considering the user's charging needs, the vehicle battery status, the charging pile status and the power grid load conditions; specifically, the present invention takes each charging gun as a basic unit, takes the charging efficiency index of each charging gun as the row vector data, and takes the load adaptability data as the column vector data, and inputs them into the preset charging strategy optimization matrix. Through matrix operation, the charging priority data of each charging gun is calculated, which effectively solves the problem of unscientific determination of the charging gun priority in the prior art. Through the charging strategy optimization matrix, the charging efficiency and load adaptability are comprehensively considered, ensuring the reasonable priority allocation of the charging gun, improving the efficiency and reliability of the charging process, and formulating the overall charging strategy based on the optimal charging solution finally generated by the charging priority data of each charging gun, wherein the charging strategy includes the selection of charging guns, the allocation of charging power, the arrangement of charging sequence, etc., to ensure the efficiency and safety of the entire charging process.

[0036] In a preferred example of the present application: based on the overall charging strategy, combined with the real-time state change of the vehicle battery during the charging process, and the power output capacity of the car charging pile with a dual-gun structure, the charging parameters of each charging gun are dynamically adjusted, including:

[0037] According to the overall charging strategy and in combination with the real-time state change of the vehicle battery during the charging process, the initial charging parameters of each charging gun are obtained, wherein the initial charging parameters include charging current and voltage;

[0038] Based on the load balancing algorithm and the actual power output capacity of the car charging pile with a dual-gun structure, the power distribution of the two charging guns is dynamically adjusted to determine the power distribution ratio of each charging gun; the power distribution ratio ensures charging efficiency and load balancing;

[0039] During the charging process, the real-time status information of the battery is collected regularly, and the charging parameters of each charging gun are dynamically adjusted using an adaptive control algorithm.

[0040] By adopting the above technical scheme, the overall charging strategy is a comprehensive charging plan formulated according to the user's charging needs, vehicle battery status, charging pile status and grid load conditions; the initial charging parameters are the initial charging parameters of each charging gun determined according to the overall charging strategy and the real-time status changes of the vehicle battery, including charging current and voltage; the electric vehicle dynamic balance charging system is based on the load balancing algorithm and the actual power output capacity of the charging pile to ensure the load balance of the two charging guns of the car charging pile with a dual-gun structure, which can effectively solve the problems of low charging efficiency and load imbalance caused by unreasonable power distribution in the prior art, and ensure the high efficiency and load balance of the charging process by dynamically adjusting the power distribution ratio, thereby improving the overall performance of the charging system.

[0041] In a preferred example of the present application: the acquisition of dual-gun adjustment parameter information according to the partition load change information collection instruction specifically includes:

[0042] According to the partition load change information collection instruction, the partition load change information is obtained, where the partition load change information includes battery temperature change and charging current change;

[0043] Obtaining load change end information; triggering a charging parameter adjustment instruction according to the load change end information;

[0044] According to the load change end information and the partition load change information, combined with the overall charging strategy, new dual-gun adjustment parameter information is obtained, and the dual-gun adjustment parameter information includes adjusted charging current and charging voltage.

[0045] By adopting the above technical solution, according to the partition load change information collection instruction, the partition load change information such as battery temperature change and charging current change is collected in real time. This information reflects the load changes in different areas during the charging process, and provides data support for subsequent parameter adjustments; after collecting the partition load change information, the load change situation is continuously monitored until the load change reaches a stable state, and the load change end information is generated; according to the load change end information, the system triggers the charging parameter adjustment instruction and starts to adjust the charging parameters; it effectively solves the problem of the inability to timely identify the end of load changes in the prior art, and by obtaining the load change end information and triggering the charging parameter adjustment instruction, the timeliness and accuracy of the charging parameter adjustment are ensured, and the efficiency and stability of the charging process are improved.

[0046] In the second aspect, the invention objective of the present application is achieved by adopting the following technical solutions:

[0047] A dynamic balance charging system for an electric vehicle with a double-gun structure is applied to a dynamic balance charging method for an electric vehicle with a double-gun structure as described above, and the system comprises:

[0048] Car charging pile with double gun structure;

[0049] A data collection module is used to collect the target user's car charging needs and the corresponding vehicle battery status information, and obtain the charging pile status information of several car charging piles in the target charging area;

[0050] An overall charging strategy determination module, used to determine an overall charging strategy according to the charging demand information and the vehicle battery status information;

[0051] A dynamic adjustment module, for dynamically adjusting the charging parameters of each charging gun based on the overall charging strategy, combined with the real-time state changes of the vehicle battery during the charging process, and the power output capacity of the vehicle charging pile with a dual-gun structure;

[0052] A real-time monitoring module is used to monitor the partition parameter detection information during the charging process in real time, and compare the partition parameter detection information with the corresponding preset safety threshold. If the partition parameter detection information is outside the corresponding preset safety threshold range, a partition load change information collection instruction is triggered;

[0053] A dual-gun adjustment parameter acquisition module is used to acquire dual-gun adjustment parameter information according to the partition load change information collection instruction;

[0054] The adjustment instruction trigger module is used to trigger the charging pile adjustment instruction according to the dual-gun adjustment parameter information.

[0055] By adopting the above technical solution, the present invention collects the target user's car charging needs and vehicle battery status information (such as the remaining battery power, the maximum allowable charging current, etc.), as well as the status information of multiple car charging piles in the target charging area (such as the working status of the charging piles, the maximum charging power that can be provided, etc.), and then comprehensively considers the user's needs, the vehicle battery status and the actual capacity of the charging piles to determine an optimized overall charging strategy, which is conducive to ensuring that the charging process not only meets the user's needs, but also takes into account the safety and charging efficiency of the system; then during the charging process, the system will continue to monitor the changes in the state of the vehicle battery (such as temperature, current, voltage, load power, etc.) and the power output of the charging pile in real time, and dynamically adjust the two charging piles according to these real-time data. The charging parameters of each electric gun (such as charging current, voltage, etc.) are adjusted to achieve optimal load distribution and maximize charging efficiency; and the dynamic platform charging system will also perform real-time detection of the parameters of each partition of the target area, and compare them with the preset safety thresholds. Once any parameter is found to be out of the safety range, the corresponding load change information collection instruction is immediately triggered to collect abnormal data in the charging process in time and make adjustments to ensure the safety of the charging process; finally, after receiving the partition load change information, the system can quickly calculate the new dual-gun adjustment parameters, and issue charging pile adjustment instructions accordingly to ensure that the charging process is always in the best state; thereby, the present invention effectively solves the problems of low charging efficiency and load balancing in the existing dual-gun dynamic balance charging system, and improves the charging efficiency.

[0056] In the third aspect, the invention objective of the present application is achieved by adopting the following technical solutions:

[0057] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for dynamic balance charging of an electric vehicle with a double-gun structure are implemented.

[0058] In a fourth aspect, the invention objective of the present application is achieved by adopting the following technical solutions:

[0059] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for dynamic balance charging of an electric vehicle with a double-gun structure are implemented.

[0060] In summary, the present application includes at least one of the following beneficial technical effects:

[0061] 1. Comprehensively consider user needs, vehicle battery conditions and the actual capacity of the charging pile, and determine an optimal overall charging strategy, which is conducive to ensuring that the charging process not only meets user needs, but also takes into account the safety and charging efficiency of the system; then during the charging process, the system will continue to monitor the state changes of the vehicle battery (such as temperature, current, voltage, load power, etc.) and the power output of the charging pile in real time, and dynamically adjust the charging parameters of the two charging guns (such as charging current, voltage, etc.) according to these real-time data to achieve the optimal distribution of load and maximize the charging efficiency; and the dynamic platform charging system will also perform real-time detection of the parameters of each partition of the target area, and compare them with the preset safety threshold. Once any parameter is found to exceed the safety range, the corresponding load change information collection instruction is immediately triggered to collect abnormal data in the charging process in time and make adjustments to ensure the safety of the charging process; finally, after receiving the partition load change information, the system can quickly calculate the new dual-gun adjustment parameters, and issue the charging pile adjustment instruction accordingly to ensure that the charging process is always in the best state; thus, the present invention effectively solves the problems of low charging efficiency and load balancing in the existing dual-gun dynamic balance charging system, and improves the charging efficiency;

[0062] 2. According to the partition load change information collection instruction, the partition load change information such as battery temperature change and charging current change is collected in real time. This information reflects the load changes in different areas during the charging process, and provides data support for subsequent parameter adjustments; after collecting the partition load change information, the load change situation is continuously monitored until the load change reaches a stable state and the load change end information is generated; according to the load change end information, the system triggers the charging parameter adjustment instruction and starts to adjust the charging parameters; it effectively solves the problem of the inability to timely identify the end of the load change in the prior art. By obtaining the load change end information and triggering the charging parameter adjustment instruction, the timeliness and accuracy of the charging parameter adjustment are ensured, and the efficiency and stability of the charging process are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is a structural diagram of a vehicle charging pile in a dynamic balanced charging method for an electric vehicle with a double-gun structure in one embodiment of the present application;

[0064] Figure 2 This is a flow chart of a dynamic balance charging method for an electric vehicle with a double-gun structure in one embodiment of the present application;

[0065] Figure 3 This is a flow chart of step S1 in a dynamic balance charging method for an electric vehicle with a double-gun structure in one embodiment of the present application;

[0066] Figure 4This is a flow chart of step S12 in a dynamic balance charging method for an electric vehicle with a double-gun structure in one embodiment of the present application;

[0067] Figure 5 This is a flow chart of step S13 in a dynamic balance charging method for an electric vehicle with a double-gun structure in one embodiment of the present application;

[0068] Figure 6 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0069] The present application is further described in detail below in conjunction with the accompanying drawings.

[0070] In one embodiment, the present application discloses a dynamic balanced charging method for an electric vehicle with a dual-gun structure, which is applied to a vehicle charging pile with a dual-gun structure. The structure of the vehicle charging pile with a dual-gun structure is as follows: Figure 1 As shown (the figure shows the left side, front side, right side and back side of the charging pile in sequence), as Figure 2 As shown, the electric vehicle dynamic balance charging method specifically includes the following steps:

[0071] S1: Collect the target user's car charging needs and the corresponding vehicle battery status information, obtain the charging pile status information of several car charging piles in the target charging area; and determine the overall charging strategy.

[0072] In this embodiment, the vehicle charging demand refers to the target user's demand for charging the electric vehicle, including charging time and charging amount; the vehicle battery status information refers to the current status information of the electric vehicle battery, such as remaining power, battery temperature, and health status; the charging pile status information refers to the current status information of the vehicle charging pile, such as availability, charging power, and load conditions; the overall charging strategy refers to the overall charging plan formulated based on the vehicle charging demand and the charging pile status information.

[0073] Specifically, the target user's car charging needs and vehicle battery status information are collected in real time through the on-board communication module and the charging pile communication module; at the same time, the charging pile status information of several car charging piles in the target charging area is obtained through the network; based on the collected information, an overall charging strategy is formulated using optimization algorithms (such as linear programming, genetic algorithms, etc.).

[0074] S2: Based on the overall charging strategy, combined with the real-time status changes of the vehicle battery during the charging process and the power output capacity of the car charging pile with a dual-gun structure, the charging parameters of each charging gun are dynamically adjusted.

[0075] In this embodiment, the charging parameters refer to parameters that can be adjusted during the charging process, such as charging current, charging voltage, and charging power.

[0076] Specifically, during the charging process, the vehicle battery status changes are monitored in real time through on-board sensors, and the charging parameters of each charging gun, such as charging current, charging voltage, etc., are dynamically adjusted based on the overall charging strategy and real-time monitored battery status information.

[0077] S3: Monitor the partition parameter detection information during the charging process in real time, and compare the partition parameter detection information with the corresponding preset safety threshold. If the partition parameter detection information is outside the corresponding preset safety threshold range, trigger the partition load change information collection instruction.

[0078] In this embodiment, the partition parameter detection information is the real-time detection data of different areas (such as voltage, current, temperature, etc.) during the charging process; the preset safety threshold is a pre-set safety range, which is used to determine whether the partition parameter detection information is within the normal range; the partition load change information collection instruction is an instruction generated when the partition parameter detection information exceeds the preset safety threshold, which is used to collect partition load change information.

[0079] Specifically, during the charging process, the partition parameter detection information of different areas, such as voltage, current, temperature, etc., is monitored in real time; and the partition parameter detection information is compared with the preset safety threshold. If it is detected that the parameters of a partition exceed the preset safety threshold, the partition load change information collection instruction is immediately triggered.

[0080] S4: Collect instructions based on the partition load change information and obtain dual-gun adjustment parameter information.

[0081] In this embodiment, the dual-gun adjustment parameter information refers to the information on adjusting charging gun parameters obtained according to the partition load change information collection instruction.

[0082] Specifically, according to the partition load change information collection instruction, the detailed load change information of the area is collected, and combined with the overall charging strategy and vehicle battery status information, the dual-gun adjustment parameter information is generated, including adjusting the charging current, charging voltage and other parameters of the charging gun.

[0083] S5: Trigger charging pile adjustment instructions based on the dual-gun adjustment parameter information.

[0084] Specifically, the charging pile adjustment instruction is an instruction generated according to the dual-gun adjustment parameter information, and is used to adjust the charging parameters of the charging pile.

[0085] In this embodiment, the adjustment instruction is sent to the charging pile through the communication interface. After receiving the instruction, the charging pile immediately adjusts the charging parameters to ensure the efficiency and safety of the charging process.

[0086] In one embodiment, if Figure 3As shown, in step S1, the target user's car charging demand and the corresponding vehicle battery status information are collected, and the charging pile status information of several car charging piles in the target charging area is obtained; and the overall charging strategy is determined, which specifically includes:

[0087] S11: Obtain the user's charging demand data from the charging demand, and based on the charging demand data and the vehicle's internal sensor network, obtain the current status information of the vehicle battery to obtain the vehicle battery status information.

[0088] In this embodiment, the charging demand data refers to the user's demand for charging the electric vehicle, including charging time and charging amount.

[0089] Specifically, the system obtains the user's charging demand data in real time through the communication interface, including charging time, charging amount, etc.; at the same time, through the sensor network inside the vehicle, it obtains the current status information of the vehicle battery in real time, such as remaining power, battery temperature, and health status.

[0090] S12: Obtain charging pile status information of several automobile charging piles in the target charging area; take each automobile charging pile with a dual-gun structure as a basic unit, evaluate the charging capacity according to a preset first evaluation factor, obtain a corresponding charging efficiency index, and calculate the optimal charging power of each charging gun according to the corresponding charging efficiency index.

[0091] In this embodiment, the charging efficiency index refers to an index obtained based on the charging capacity evaluation of the charging pile, which is used to measure the charging efficiency of the charging pile;

[0092] Specifically, the system obtains the charging pile status information of several automobile charging piles in the target charging area through the network, such as availability, charging power, load conditions, etc.; takes each automobile charging pile with a dual-gun structure as the basic unit, and evaluates the charging capacity according to the preset first evaluation factor (such as maximum charging power, load balancing capability, etc.), and obtains the charging efficiency index of each charging pile, and based on the charging efficiency index, uses an optimization algorithm (such as linear programming, genetic algorithm, etc.) to calculate the optimal charging power of each charging gun.

[0093] S13: Taking each automobile charging pile with a double-gun structure as a basic unit, the load adaptability data of the charging system is calculated according to a preset second evaluation factor.

[0094] In this embodiment, the load adaptability data refers to data obtained based on the load adaptability evaluation of the charging pile, which is used to measure the adaptability of the charging pile under different load conditions;

[0095] Specifically, the system takes each car charging pile with a dual-gun structure as the basic unit, and calculates the load adaptability data of the charging system according to the preset second evaluation factor (such as load balancing capability, thermal management capability, etc.).

[0096] S14: Perform a comprehensive analysis based on the charging efficiency index and load adaptability data corresponding to each charging gun to obtain the best charging solution and determine the overall charging strategy.

[0097] In this embodiment, a comprehensive analysis is performed based on the charging efficiency index and load adaptability data corresponding to each charging gun to evaluate the comprehensive performance of different charging piles and charging guns; an optimization algorithm (such as linear programming, genetic algorithm, etc.) is used to obtain the best charging solution, and based on the best charging solution, the overall charging strategy is determined, including the selection of charging guns and the allocation of charging power.

[0098] In one embodiment, if Figure 4 As shown, in step S12, each car charging pile with a dual-gun structure is used as a basic unit, and the charging capacity is evaluated according to the preset first evaluation factor to obtain the corresponding charging efficiency index, which specifically includes:

[0099] S121: Taking each car charging pile with a dual-gun structure as a basic unit, determining the association relationship between the two charging guns.

[0100] In this embodiment, the first evaluation factor includes the maximum output power of the charging pile, the actual output power of the two charging guns in the charging pile, the distance between the charging pile and the power grid, the usage frequency of the charging gun and the maintenance record of the charging pile; the distance between the charging pile and the power grid refers to the physical distance between the charging pile and the power grid; the usage frequency of the charging gun refers to the usage frequency of each charging gun in the charging pile, reflecting the busyness of the charging pile; the association relationship refers to the mutual influence and dependence between the two charging guns, such as sharing the same power supply and load balancing.

[0101] Specifically, the association between the two charging guns is analyzed, such as whether they share the same power supply, load balancing, etc.; these associations will affect the actual output power and charging efficiency of the charging guns; and the determined associations are recorded in the system.

[0102] S122: Based on the association relationship, all the first evaluation factors of each charging gun in a single charging pile are weighted and averaged to obtain a weighted average score of the first evaluation factors of the single charging pile, wherein the weight of each first evaluation factor is pre-set according to its influence on the charging capacity.

[0103] Specifically, the weight setting is to reasonably allocate the weights of various evaluation factors according to the performance test results of the charging pile and industry standards to ensure the fairness and accuracy of the evaluation system; the weight value is pre-set according to the degree of influence of each evaluation factor on the charging capacity; for example, the weight of the maximum output power may be higher, and the weight of the maintenance record may be lower; weighted average calculation: use the weighted average formula to calculate the weighted average score of the first evaluation factor of a single charging pile: weighted average score = ∑(evaluation factor × weight) / ∑weight.

[0104] S123: Calculate the charging efficiency index using the weighted average score of the first evaluation factor and the comprehensive index method.

[0105] In this embodiment, the collected data is input into the evaluation model, and the comprehensive score of each charging pile is calculated according to the set weight; the scoring data is then processed using the comprehensive index method to generate an efficiency index that reflects the actual charging capacity of the charging pile.

[0106] Specifically, the comprehensive index method is used to combine multiple evaluation factors into a comprehensive index. The formula of the comprehensive index method can be expressed as: charging efficiency index = f (weighted average score); where f is a comprehensive function that can be adjusted according to specific needs. Then, the charging efficiency index of each charging pile is calculated according to the comprehensive index method.

[0107] Furthermore, based on the efficiency index analysis results, targeted optimization suggestions are provided to operators, such as increasing charging capacity during peak hours and improving maintenance processes.

[0108] In one embodiment, if Figure 5 As shown, in step S13, each car charging pile with a dual-gun structure is used as a basic unit, and the load adaptability data of the charging system is calculated according to the preset second evaluation factor, specifically including:

[0109] S131: Taking each car charging pile with a dual-gun structure as a basic unit, determining the association relationship between the two charging guns.

[0110] In this embodiment, the second evaluation factor includes the grid load, the frequency of use of the charging pile, the distance between the charging pile and the nearest substation, the maintenance record of the charging pile, and the number of abnormal load alarms of the charging gun; the number of abnormal load alarms of the charging gun refers to the number of abnormal load alarms of each charging gun in the charging pile within a certain period of time, reflecting the operating stability of the charging gun.

[0111] Specifically, the association relationship between the two charging guns is analyzed, such as whether they share the same power supply, load balancing, etc.; these association relationships will affect the actual output power and load distribution of the charging guns; and the determined association relationships are recorded in the system.

[0112] S132: Based on the association relationship, all the second evaluation factors of each charging gun in a single charging pile are weighted and averaged to obtain a weighted average score of the second evaluation factors of the single charging pile, wherein the weight of each second evaluation factor is pre-set according to its influence on load adaptability.

[0113] In this embodiment, weight assignment refers to assigning a weight value to each second evaluation factor to reflect its influence on load adaptability.

[0114] Specifically, the grid load, the frequency of use of the charging pile, the distance between the charging pile and the nearest substation, the maintenance record of the charging pile, and the number of abnormal load alarms of the charging gun are collected.

[0115] Weight assignment: Pre-set weight values ​​based on the degree of influence of each evaluation factor on load adaptability; for example, the weight of grid load may be higher, and the weight of maintenance record may be lower; and use the weighted average formula to calculate the weighted average score of the second evaluation factor of a single charging pile.

[0116] S133: Calculate the load adaptability data of the charging system using the weighted average score of the second evaluation factor and the comprehensive index method.

[0117] Specifically, the comprehensive index method is used to combine multiple evaluation factors into a comprehensive index. The formula of the comprehensive index method can be expressed as: load adaptability data = f (weighted average score); where f is a comprehensive function that can be adjusted according to specific needs.

[0118] In one embodiment, in step S14, a comprehensive analysis is performed based on the charging efficiency index and load adaptability data corresponding to each charging gun to obtain the best charging solution and determine the overall charging strategy, which specifically includes:

[0119] S141: Taking each charging gun as a basic unit, the corresponding charging efficiency index is used as row vector data, and the corresponding load adaptability data is used as column vector data, which are input into a preset charging strategy optimization matrix to obtain corresponding charging priority data.

[0120] In this embodiment, the charging strategy optimization matrix is ​​a matrix used to comprehensively analyze the charging efficiency index and load adaptability data to help determine the charging priority.

[0121] Specifically, taking each charging gun as a basic unit, the charging efficiency index of each charging gun is used as row vector data, and the load adaptability data is used as column vector data; then the row vector and column vector data are input into a preset charging strategy optimization matrix; then, through matrix operations, the charging priority data of each charging gun is calculated; for example, the following formula can be used: priority data = charging efficiency index × weight 1 + load adaptability data × weight 2; the calculated priority data is recorded in the system for subsequent charging plan generation.

[0122] S142: Generate the best charging plan based on the charging priority data corresponding to each charging gun, taking into account the user's charging needs, vehicle battery status, charging pile status and grid load conditions.

[0123] In this embodiment, the charging priority data is the priority data of each charging gun calculated according to the charging strategy optimization matrix, and is used to guide the charging sequence and power distribution.

[0124] Specifically, based on the charging priority data of each charging gun, the user's charging needs (such as charging time, charging amount), vehicle battery status (such as remaining power, battery temperature), charging pile status (such as availability, load conditions) and grid load conditions (such as current load, peak load) are comprehensively considered. Then, the optimization algorithm (such as linear programming, genetic algorithm, etc.) is used to generate the best charging plan. The best charging plan includes selecting a suitable charging gun, allocating appropriate charging power, determining the charging order, etc.

[0125] S143: Obtain an overall charging strategy based on the optimal charging solution.

[0126] Specifically, based on the generated optimal charging plan, an overall charging strategy is formulated; the overall charging strategy includes the selection of charging guns, the allocation of charging power, the arrangement of charging sequence, etc., to ensure the efficiency and safety of the entire charging process.

[0127] In one embodiment, in step S2, based on the overall charging strategy, combined with the real-time state change of the vehicle battery during the charging process, and the power output capacity of the vehicle charging pile with a dual-gun structure, the charging parameters of each charging gun are dynamically adjusted, including:

[0128] S21: According to the overall charging strategy and in combination with the real-time state changes of the vehicle battery during the charging process, the initial charging parameters of each charging gun are obtained. The initial charging parameters include the charging current and voltage.

[0129] In this embodiment, the real-time status information of the vehicle battery, such as the remaining power, battery temperature, etc., is regularly collected through the sensor network inside the vehicle; based on the overall charging strategy and real-time status information, an optimization algorithm (such as linear programming, genetic algorithm, etc.) is used to determine the initial charging parameters of each charging gun.

[0130] S22: Based on the load balancing algorithm and the actual power output capacity of the car charging pile with a dual-gun structure, the power distribution of the two charging guns is dynamically adjusted to determine the power distribution ratio of each charging gun; the power distribution ratio ensures charging efficiency and load balance.

[0131] In this embodiment, a load balancing algorithm (such as a polling algorithm, a weighted polling algorithm, etc.) is used to dynamically adjust the power distribution ratio of the two charging guns according to the actual power output capacity of the charging pile to ensure load balance of the two charging guns, avoid the situation where one charging gun is overloaded while the other is idle, improve the charging efficiency, and record the determined power distribution ratio in the system for subsequent charging process control.

[0132] S23: During the charging process, the real-time status information of the battery is collected regularly, and the charging parameters of each charging gun are dynamically adjusted using an adaptive control algorithm.

[0133] In this embodiment, an adaptive control algorithm (such as PID control, fuzzy control, etc.) is used to dynamically adjust the charging parameters of each charging gun, such as charging current and voltage, according to real-time status information; the charging parameters are dynamically adjusted according to real-time data to ensure the efficiency and safety of the charging process.

[0134] Specifically, in one embodiment, in step S4, according to the partition load change information collection instruction, the dual-gun adjustment parameter information is obtained, which specifically includes:

[0135] S41: Acquire partition load change information according to the partition load change information collection instruction, where the partition load change information includes battery temperature change and charging current change.

[0136] In this embodiment, the partitioned load change information refers to the load change information of different charging areas during the charging process. This application detects the load change information of the same target charging area according to the charging needs in different time periods and between different areas. This can not only improve the quality and efficiency of the charging service, but also enhance user satisfaction.

[0137] For example, assume that in a large enterprise park, there are multiple charging areas equipped with dual-gun charging piles, serving a large number of electric vehicle users in different departments; the charging demand in the park varies significantly between different time periods and different areas. The specific application scenarios are as follows:

[0138] 1) Administrative Office Area:

[0139] Daytime peak: Employees in the administrative office area usually work during the day, so there will be a higher demand for charging in the morning and afternoon. Through regional detection, the system can monitor the changes in battery temperature and charging current in real time, dynamically adjust charging parameters, and ensure fast charging while avoiding overheating.

[0140] Nighttime low point: The charging demand in this area is low at night, and the system can appropriately reduce the charging current and voltage, allowing electric vehicles to charge slowly under a milder state and extend battery life.

[0141] 2) R&D Department:

[0142] Night overtime: Employees in the R&D department often work overtime until late at night, so there will be a higher demand for charging in this area at night; the system can adjust the charging parameters in time through regional detection to ensure that employees' electric vehicles can be quickly fully charged after overtime.

[0143] Charging safety: Electric vehicles used in R&D departments may include high-performance models, which have larger battery capacities and higher charging requirements. By monitoring battery temperature and charging current in real time, the system can detect and handle abnormal situations in a timely manner to ensure charging safety.

[0144] 3) Visitor Area:

[0145] Temporary demand: The charging demand in the visitor area is uncertain and may occur at any time period. Through regional detection, the system can flexibly adjust the charging parameters to ensure that visitors' electric vehicles can be charged in the shortest time and improve the visitor experience.

[0146] S42: Obtain load change completion information; trigger a charging parameter adjustment instruction according to the load change completion information.

[0147] In this embodiment, the system continuously monitors the partition load change information until the load change reaches a stable state and generates load change end information; according to the load change end information, the system generates a charging parameter adjustment instruction and prepares to adjust the charging parameters.

[0148] S43: According to the load change end information and the partition load change information, combined with the overall charging strategy, new dual-gun adjustment parameter information is obtained, and the dual-gun adjustment parameter information includes the adjusted charging current and charging voltage.

[0149] In this embodiment, the system calculates new dual-gun adjustment parameter information based on the load change end information and the partition load change information, combined with the overall charging strategy, using an optimization algorithm (such as linear programming, genetic algorithm, etc.), and sends the new dual-gun adjustment parameter information to the charging pile control system. The charging pile control system adjusts the charging current and charging voltage according to the new parameters to ensure the smooth progress of the charging process.

[0150] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0151] In one embodiment, a dynamic balance charging system for an electric vehicle with a dual-gun structure is provided, and the dynamic balance charging system for an electric vehicle with a dual-gun structure corresponds to a dynamic balance charging method for an electric vehicle with a dual-gun structure in the above embodiment.

[0152] An electric vehicle dynamic balance charging system with a dual-gun structure includes a vehicle charging pile with a dual-gun structure, a data acquisition module, an overall charging strategy determination module, a dynamic adjustment module, a real-time monitoring module, a dual-gun adjustment parameter acquisition module, and an adjustment instruction trigger module. The detailed description of each functional module is as follows:

[0153] Car charging pile with double gun structure;

[0154] A data collection module is used to collect the target user's car charging needs and the corresponding vehicle battery status information, and obtain the charging pile status information of several car charging piles in the target charging area;

[0155] An overall charging strategy determination module, used to determine the overall charging strategy based on the charging demand information and the vehicle battery status information;

[0156] Dynamic adjustment module, which is used to dynamically adjust the charging parameters of each charging gun based on the overall charging strategy, combined with the real-time status changes of the vehicle battery during the charging process, and the power output capacity of the car charging pile with a dual-gun structure;

[0157] A real-time monitoring module is used to monitor the partition parameter detection information during the charging process in real time, and compare the partition parameter detection information with the corresponding preset safety threshold. If the partition parameter detection information is outside the corresponding preset safety threshold range, a partition load change information collection instruction is triggered;

[0158] A dual-gun adjustment parameter acquisition module is used to collect instructions based on partition load change information and obtain dual-gun adjustment parameter information;

[0159] The adjustment instruction trigger module is used to trigger the charging pile adjustment instruction according to the dual-gun adjustment parameter information.

[0160] For the specific limitations on the dynamic balancing charging system for electric vehicles with a dual-gun structure, please refer to the limitations on the dynamic balancing charging method for electric vehicles with a dual-gun structure mentioned above, which will not be repeated here; the various modules in the above-mentioned dynamic balancing charging system for electric vehicles with a dual-gun structure can be implemented in whole or in part through software, hardware and a combination thereof; the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above modules.

[0161] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store load adaptability data and overall charging strategies, etc. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a dynamic balancing charging method for an electric vehicle with a double-gun structure is implemented.

[0162] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps described in a method for dynamic balancing charging of an electric vehicle with a dual-gun structure are implemented.

[0163] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps described in a method for dynamic balance charging of an electric vehicle with a double-gun structure are implemented.

[0164] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0165] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0166] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A dynamic balance charging method for electric vehicles with a double-gun structure, characterized in that: A car charging pile with a double-gun structure, the method comprising: Collect the target user's car charging needs and the corresponding vehicle battery status information, obtain the charging pile status information of several car charging piles in the target charging area; and determine the overall charging strategy; Based on the overall charging strategy, combined with the real-time state changes of the vehicle battery during the charging process and the power output capacity of the car charging pile with a dual-gun structure, the charging parameters of each charging gun are dynamically adjusted; Monitor the partition parameter detection information during the charging process in real time, and compare the partition parameter detection information with the corresponding preset safety threshold. If the partition parameter detection information is outside the corresponding preset safety threshold range, trigger the partition load change information collection instruction; According to the partition load change information collection instruction, obtain dual-gun adjustment parameter information; According to the dual-gun adjustment parameter information, a charging pile adjustment instruction is triggered; The collecting of the target user's vehicle charging demand and the corresponding vehicle battery status information, obtaining the charging pile status information of several vehicle charging piles in the target charging area; and determining the overall charging strategy specifically includes: Acquire charging demand data of the user from the charging demand, and acquire current status information of the vehicle battery based on the charging demand data and the internal sensor network of the vehicle to obtain vehicle battery status information; Acquire charging pile status information of several automobile charging piles in the target charging area; take each automobile charging pile with a dual-gun structure as a basic unit, evaluate the charging capacity according to a preset first evaluation factor, obtain a corresponding charging efficiency index, and calculate the optimal charging power of each charging gun according to the corresponding charging efficiency index; Taking each car charging pile with a double-gun structure as a basic unit, the load adaptability data of the charging system is calculated according to the preset second evaluation factor; Perform a comprehensive analysis based on the charging efficiency index and load adaptability data corresponding to each charging gun to obtain the best charging solution and determine the overall charging strategy; The method uses each car charging pile with a dual-gun structure as a basic unit, performs charging capacity evaluation according to a preset first evaluation factor, and obtains a corresponding charging efficiency index, specifically including: The first evaluation factor includes the maximum output power of the charging pile, the actual output power of the two charging guns in the charging pile, the distance between the charging pile and the power grid, the frequency of use of the charging gun and the maintenance record of the charging pile; Taking each car charging pile with a dual-charger structure as a basic unit, determine the correlation between the two charging guns; Based on the association relationship, all first evaluation factors of each charging gun in a single charging pile are weighted and averaged to obtain a weighted average score of the first evaluation factor of the single charging pile, wherein the weight of each first evaluation factor is pre-set according to its influence on the charging capacity; The charging efficiency index is calculated by using the weighted average score of the first evaluation factor and the comprehensive index method; The method takes each car charging pile with a dual-gun structure as a basic unit and calculates the load adaptability data of the charging system according to the preset second evaluation factor, specifically including: The second evaluation factor includes the grid load, the frequency of use of the charging pile, the distance between the charging pile and the nearest substation, the maintenance record of the charging pile, and the number of abnormal load alarms of the charging gun; Taking each car charging pile with a dual-charger structure as a basic unit, determine the correlation between the two charging guns; Based on the association relationship, all the second evaluation factors of each charging gun in a single charging pile are weighted and averaged to obtain a weighted average score of the second evaluation factor of the single charging pile, wherein the weight of each second evaluation factor is pre-set according to its influence on load adaptability; Calculating load adaptability data of the charging system using the weighted average score of the second evaluation factor and the comprehensive index method; The comprehensive analysis based on the charging efficiency index and load adaptability data corresponding to each charging gun to obtain the best charging solution and determine the overall charging strategy specifically includes: Taking each of the charging guns as a basic unit, inputting the corresponding charging efficiency index as row vector data and the corresponding load adaptability data as column vector data into a preset charging strategy optimization matrix to obtain corresponding charging priority data; According to the charging priority data corresponding to each charging gun, the best charging plan is generated by comprehensively considering the user's charging needs, vehicle battery status, charging pile status and grid load conditions; An overall charging strategy is obtained based on the optimal charging solution.

2. A dynamic balanced charging method for electric vehicles with a double-gun structure according to claim 1, characterized in that: Based on the overall charging strategy, combined with the real-time state change of the vehicle battery during the charging process and the power output capacity of the car charging pile with a dual-gun structure, the charging parameters of each charging gun are dynamically adjusted, including: According to the overall charging strategy and in combination with the real-time state change of the vehicle battery during the charging process, the initial charging parameters of each charging gun are obtained, wherein the initial charging parameters include charging current and voltage; Based on the load balancing algorithm and the actual power output capacity of the car charging pile with a dual-gun structure, the power distribution of the two charging guns is dynamically adjusted to determine the power distribution ratio of each charging gun; the power distribution ratio ensures charging efficiency and load balancing; During the charging process, the real-time status information of the battery is collected regularly, and the charging parameters of each charging gun are dynamically adjusted using an adaptive control algorithm.

3. The dynamic balanced charging method for an electric vehicle with a double-gun structure according to claim 1 is characterized in that: The step of obtaining the dual-gun adjustment parameter information according to the partition load change information collection instruction specifically includes: According to the partition load change information collection instruction, the partition load change information is obtained, where the partition load change information includes battery temperature change and charging current change; Obtaining load change end information; triggering a charging parameter adjustment instruction according to the load change end information; According to the load change end information and the partition load change information, combined with the overall charging strategy, new dual-gun adjustment parameter information is obtained, and the dual-gun adjustment parameter information includes adjusted charging current and charging voltage.

4. A dynamic balance charging system for electric vehicles with a double-gun structure, characterized in that: The method for dynamic balanced charging of an electric vehicle with a double-gun structure as claimed in any one of claims 1 to 3 comprises: Car charging pile with double gun structure; A data collection module is used to collect the target user's car charging needs and the corresponding vehicle battery status information, and obtain the charging pile status information of several car charging piles in the target charging area; An overall charging strategy determination module, used to determine an overall charging strategy according to the charging demand information and the vehicle battery status information; A dynamic adjustment module, for dynamically adjusting the charging parameters of each charging gun based on the overall charging strategy, combined with the real-time state changes of the vehicle battery during the charging process, and the power output capacity of the vehicle charging pile with a dual-gun structure; A real-time monitoring module is used to monitor the partition parameter detection information during the charging process in real time, and compare the partition parameter detection information with the corresponding preset safety threshold. If the partition parameter detection information is outside the corresponding preset safety threshold range, a partition load change information collection instruction is triggered; A dual-gun adjustment parameter acquisition module is used to acquire dual-gun adjustment parameter information according to the partition load change information collection instruction; An adjustment instruction triggering module, used to trigger a charging pile adjustment instruction according to the dual-gun adjustment parameter information; The collecting of the target user's vehicle charging demand and the corresponding vehicle battery status information, obtaining the charging pile status information of several vehicle charging piles in the target charging area; and determining the overall charging strategy specifically includes: Acquire charging demand data of the user from the charging demand, and acquire current status information of the vehicle battery based on the charging demand data and the internal sensor network of the vehicle to obtain vehicle battery status information; Acquire charging pile status information of several automobile charging piles in the target charging area; take each automobile charging pile with a dual-gun structure as a basic unit, evaluate the charging capacity according to a preset first evaluation factor, obtain a corresponding charging efficiency index, and calculate the optimal charging power of each charging gun according to the corresponding charging efficiency index; Taking each car charging pile with a double-gun structure as a basic unit, the load adaptability data of the charging system is calculated according to the preset second evaluation factor; Perform a comprehensive analysis based on the charging efficiency index and load adaptability data corresponding to each charging gun to obtain the best charging solution and determine the overall charging strategy; The method uses each car charging pile with a dual-gun structure as a basic unit, performs charging capacity evaluation according to a preset first evaluation factor, and obtains a corresponding charging efficiency index, specifically including: The first evaluation factor includes the maximum output power of the charging pile, the actual output power of the two charging guns in the charging pile, the distance between the charging pile and the power grid, the frequency of use of the charging gun and the maintenance record of the charging pile; Taking each car charging pile with a dual-charger structure as a basic unit, determine the correlation between the two charging guns; Based on the association relationship, all first evaluation factors of each charging gun in a single charging pile are weighted and averaged to obtain a weighted average score of the first evaluation factor of the single charging pile, wherein the weight of each first evaluation factor is pre-set according to its influence on the charging capacity; The charging efficiency index is calculated by using the weighted average score of the first evaluation factor and the comprehensive index method; The method takes each car charging pile with a dual-gun structure as a basic unit and calculates the load adaptability data of the charging system according to the preset second evaluation factor, specifically including: The second evaluation factor includes the grid load, the frequency of use of the charging pile, the distance between the charging pile and the nearest substation, the maintenance record of the charging pile, and the number of abnormal load alarms of the charging gun; Taking each car charging pile with a dual-charger structure as a basic unit, determine the correlation between the two charging guns; Based on the association relationship, all the second evaluation factors of each charging gun in a single charging pile are weighted and averaged to obtain a weighted average score of the second evaluation factor of the single charging pile, wherein the weight of each second evaluation factor is pre-set according to its influence on load adaptability; Calculating load adaptability data of the charging system using the weighted average score of the second evaluation factor and the comprehensive index method; The comprehensive analysis based on the charging efficiency index and load adaptability data corresponding to each charging gun to obtain the best charging solution and determine the overall charging strategy specifically includes: Taking each of the charging guns as a basic unit, inputting the corresponding charging efficiency index as row vector data and the corresponding load adaptability data as column vector data into a preset charging strategy optimization matrix to obtain corresponding charging priority data; According to the charging priority data corresponding to each charging gun, the best charging plan is generated by comprehensively considering the user's charging needs, vehicle battery status, charging pile status and grid load conditions; An overall charging strategy is obtained based on the optimal charging solution.

5. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of a dynamic balancing charging method for an electric vehicle with a dual-gun structure as described in any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by the processor, the steps of a dynamic balance charging method for an electric vehicle with a dual-gun structure as claimed in any one of claims 1 to 3 are implemented.

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