New energy automobile charging pile multi-gun linkage adjustable control method
Patent Information
- Application Number
- CN202611025337.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-10
- Publication Date
- 2026-08-21
AI Technical Summary
[0005]本发明的目的在于：用于解决传统的新能源汽车多枪充电管理中，通常采用固定的充电控制策略，导致充电效率不高、资源利用率低、充电过程中存在安全隐患等问题，同时，传统多枪充电系统缺乏智能化的联动控制机制，各充电枪之间缺乏有效的协调配合，容易出现功率分配不均现象，影响充电效果和设备寿命的问题
该新能源汽车充电桩的多枪联动可调节控制方法，通过获取新能源汽车电池的性能数据并计算性能综合指数，能够精准区分高性能电池和低性能电池，实现对不同电池状态的差异化充电控制，有效提升充电效率和电池安全性；同时，结合充电枪对应的车辆优先数据计算补能优先指数，并综合考虑性能综合指数与补能优先指数，对充电枪输出功率进行智能调控，从而实现充电功率的动态优化分配，避免功率分配不均现象，最大化利用充电桩资源，提高资源利用率和整体充电效果；此外，通过实时监测新能源汽车电池的SOC值并对充电进程进行动态判断和处置，能够在充电完成后及时释放功率资源，并对剩余车辆的功率进行重新分配调整，形成智能化的闭环控制机制，不仅解决了传统固定充电策略导致的效率低下问题，还有效避免了充电过程中的安全隐患，延长充电设备使用寿命，提升用户充电体验和充电站运营效率。
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Figure CN122607164A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of charging control technology, and in particular to a multi-gun linkage adjustable control method for new energy vehicle charging piles. Background Technology
[0002] With the rapid development and popularization of new energy vehicles, the driving range and charging speed of electric vehicles have become the focus of users' attention. Charging technology, as a crucial component of the new energy vehicle industry chain, directly impacts user experience and market acceptance. In the field of charging technology, multi-gun charging technology has received widespread attention due to its ability to significantly shorten charging time and improve charging efficiency. Multi-gun charging technology effectively increases charging power by using multiple charging guns simultaneously to charge the same electric vehicle, meeting the needs of different vehicle models and charging scenarios.
[0003] However, the implementation of multi-gun charging technology faces complex control and management challenges, requiring solutions to issues such as coordination among the multiple guns, power distribution, and safety protection. Traditional multi-gun charging management for new energy vehicles typically employs fixed charging control strategies, which cannot be flexibly adjusted based on dynamic factors such as vehicle status, charging pile load, and grid conditions. This results in low charging efficiency, low resource utilization, and safety hazards during charging. Furthermore, traditional multi-gun charging systems lack intelligent linkage control mechanisms, resulting in ineffective coordination between the charging guns and potentially uneven power distribution, impacting charging performance and equipment lifespan.
[0004] To address the aforementioned technical deficiencies, a solution is proposed. Summary of the Invention
[0005] The purpose of this invention is to address the problems in traditional multi-gun charging management for new energy vehicles, which typically employs a fixed charging control strategy, resulting in low charging efficiency, low resource utilization, and safety hazards during the charging process. Furthermore, traditional multi-gun charging systems lack intelligent linkage control mechanisms, and the lack of effective coordination between charging guns easily leads to uneven power distribution, affecting charging performance and equipment lifespan.
[0006] To achieve the above objectives, the present invention adopts the following technical solution: a multi-gun linkage adjustable control method for new energy vehicle charging piles, comprising the following steps: Step 1: Establish a connection with the new energy vehicle battery management system through the communication interface of the charging pile, obtain the performance data of the new energy vehicle battery, analyze and calculate it, obtain the comprehensive performance index of the new energy vehicle battery, and classify the new energy vehicle battery into high-performance battery and low-performance battery. Step 2: Obtain the priority data of the vehicle corresponding to each charging gun, and perform analysis and calculation to obtain the charging priority index of the new energy vehicle charging gun. Step 3: Obtain the comprehensive performance index and the energy replenishment priority index, and combine them with the charging pile power data for analysis, which will be used to intelligently control the output power of the charging gun. Step 4: Monitor the SOC value of the new energy vehicle battery in real time, and judge and handle the charging process.
[0007] Furthermore, the calculation process for the comprehensive performance index of new energy vehicle batteries is as follows: S11. Obtain and analyze the performance data of the new energy vehicle battery. The performance data includes the number of charge-discharge cycles, charging habit score, and battery usage time data of the new energy vehicle battery. S12. Calculate the comprehensive performance index C of new energy vehicle batteries according to the following formula: ; in, The actual number of charge-discharge cycles for new energy vehicle batteries. G represents the maximum number of charge-discharge cycles for a new energy vehicle battery, and G is the charging habit score for the new energy vehicle battery. Scoring is assigned to the pre-defined standard charging habits for new energy vehicle batteries. For the actual usage time of new energy vehicle batteries, This is the preset standard usage time for new energy vehicle batteries. The preset charge / discharge cycle weighting coefficient, The comprehensive performance index of new energy vehicle batteries is used to reflect the charging performance of new energy vehicle batteries, with preset charging habit weighting coefficients.
[0008] Furthermore, the process of classifying new energy vehicle batteries is as follows: S21. Obtain the preset comprehensive performance threshold. A comparative analysis was conducted with the comprehensive performance index C of new energy vehicle batteries. S22, when If the charging performance of the new energy vehicle battery is poor, it is classified as a low-performance battery. At the same time, the charging gun will output power to charge the low-performance battery according to the basic power. S23, when If the charging performance is high, it indicates that the new energy vehicle battery has high charging performance and is classified as a high-performance battery. At the same time, the output power of the charging gun is intelligently adjusted based on the basic power.
[0009] Furthermore, the calculation process for the basic output power of the charging gun is as follows: S31. Obtain and analyze data on the minimum safe charging power of new energy vehicles, the maximum number of charging guns that can be connected to the charging pile, and the rated total output power of the charging pile. S32. The minimum guarantee factor is calculated according to the following formula. : ,in, For power grid safety redundancy coefficient, Minimum safe charging power for a single vehicle This represents the maximum number of charging guns that can be connected to the charging station. This refers to the rated total output power of the charging pile. S33. Obtain the battery capacity of the new energy vehicle corresponding to the charging gun, and perform analysis and calculation in conjunction with the minimum guarantee factor; S34. Calculate the basic output power of the charging gun according to the following formula. : ; Where R represents the battery capacity of the new energy vehicle corresponding to the charging gun, and n represents the number of new energy vehicles currently being charged. Let i be the battery capacity of the i-th new energy vehicle that is currently charging. This refers to the total power capacity of the charging pile. This is the minimum guarantee factor.
[0010] Furthermore, the calculation process for the charging priority index of new energy vehicle charging guns is as follows: S41. Obtain and analyze the priority data of the vehicle corresponding to the charging gun, wherein the priority data includes; S42. Calculate the charging priority index F of the new energy vehicle charging gun according to the following formula: ; Where L represents the remaining driving range of the new energy vehicle. This refers to the maximum driving range of new energy vehicles. The queuing time for new energy vehicles in charging queues. 'm' represents the longest historical queuing time, 'm' represents the total historical consumption of new energy vehicles at the current charging station, and 'M' represents the average historical consumption of new energy vehicles at the current charging station. 'b' is the preset driving mileage weighting coefficient, 'b' is the preset queuing time weighting coefficient, and the charging priority index of the new energy vehicle charging gun is used to reflect the charging priority of the new energy vehicle charging gun.
[0011] Furthermore, the process of intelligently controlling the output power of the charging gun is as follows: S51. Obtain the comprehensive performance index and the energy replenishment priority index, and analyze and calculate them in combination with the power data of the charging pile; S52. Calculate the remaining distributable power according to the following formula. : ,in, Where n is the rated total output power of the charging pile, and n is the number of new energy vehicles currently charging. The base power output of the i-th charging gun that is currently charging; S53. Calculate the increment of the charging gun output power corresponding to the high-performance battery being charged according to the following formula. : ; in, Where is the base power output of the charging gun, F is the charging priority index of the new energy vehicle charging gun, and n is the number of new energy vehicles currently charging. Let i be the priority index for energy replenishment of the i-th new energy vehicle charging gun. This refers to the comprehensive performance index of high-performance batteries for new energy vehicles. This is the preset power control coefficient.
[0012] Furthermore, the process of judging and handling the charging process is as follows: S61. When the battery charge of a new energy vehicle reaches the target SOC value or the user actively stops charging, the charging pile stops charging the vehicle and releases the power resources it occupies. S62. If other vehicles are still charging, the power of the remaining vehicles will be redistributed and adjusted. S63. The charging process ends when all vehicles have finished charging or all users have stopped charging.
[0013] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This multi-gun linkage adjustable control method for new energy vehicle charging piles acquires the performance data of new energy vehicle batteries and calculates a comprehensive performance index. This allows for precise differentiation between high-performance and low-performance batteries, enabling differentiated charging control for different battery states and effectively improving charging efficiency and battery safety. Simultaneously, by combining the vehicle priority data corresponding to each charging gun with the energy replenishment priority index, and comprehensively considering both the comprehensive performance index and the energy replenishment priority index, the output power of the charging guns is intelligently adjusted. This achieves dynamic optimization of charging power allocation, avoiding uneven power distribution, maximizing the utilization of charging pile resources, and improving resource utilization and overall charging effect. Furthermore, by monitoring the SOC value of new energy vehicle batteries in real time and dynamically judging and handling the charging process, power resources can be released promptly after charging is completed, and the power of remaining vehicles can be redistributed and adjusted, forming an intelligent closed-loop control mechanism. This not only solves the inefficiency problem caused by traditional fixed charging strategies but also effectively avoids safety hazards during charging, extends the lifespan of charging equipment, and improves the user charging experience and charging station operational efficiency. Attached Figure Description Figure 1 A schematic diagram of the method flow of the present invention is shown. Detailed Implementation
[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0015] Example: like Figure 1 As shown, the multi-gun linkage adjustable control method for new energy vehicle charging piles first establishes a connection with the new energy vehicle battery management system through the communication interface of the charging pile, obtains the performance data of the new energy vehicle battery, performs analysis and calculation, obtains the comprehensive performance index of the new energy vehicle battery, and classifies the new energy vehicle battery into high-performance battery and low-performance battery. The calculation process for the comprehensive performance index of new energy vehicle batteries is as follows: S11. Obtain and analyze the performance data of the new energy vehicle battery. The performance data includes the number of charge-discharge cycles, charging habit score, and battery usage time data of the new energy vehicle battery. The charging habit score is obtained by comprehensively evaluating the charging habit data of the new energy vehicle and using a scale. It should be noted that the charging habit data includes historical fast charging frequency, deep discharge count (recharging when the battery level is below 10%), and full charge parking time (long-term full charge parking will accelerate aging). The higher the value of the charging habit score, the higher the degree of adverse impact on the lifespan of the new energy vehicle battery. The lower the value of the charging habit score, the lower the degree of adverse impact on the lifespan of the new energy vehicle battery. S12. Calculate the comprehensive performance index C of new energy vehicle batteries according to the following formula: ; in, The actual number of charge-discharge cycles for new energy vehicle batteries. G represents the maximum number of charge-discharge cycles for a new energy vehicle battery, and G is the charging habit score for the new energy vehicle battery. Scoring is assigned to the pre-defined standard charging habits for new energy vehicle batteries. For the actual usage time of new energy vehicle batteries, This is the preset standard usage time for new energy vehicle batteries. The preset charge / discharge cycle weighting coefficient, The performance index of new energy vehicle batteries is used to reflect the charging performance of new energy vehicle batteries, with preset charging habit weighting coefficients. The larger the value of the performance index, the worse the charging performance of the new energy vehicle battery, and the smaller the value of the performance index, the better the charging performance of the new energy vehicle battery.
[0016] The process of classifying new energy vehicle batteries is as follows: S21. Obtain the preset comprehensive performance threshold. A comparative analysis was conducted with the comprehensive performance index C of new energy vehicle batteries. S22, when If the charging performance of the new energy vehicle battery is poor, it is classified as a low-performance battery. At the same time, the charging gun will output power to charge the low-performance battery according to the basic power. S23, when If the charging performance is high, it indicates that the new energy vehicle battery has high charging performance and is classified as a high-performance battery. At the same time, the output power of the charging gun is intelligently adjusted based on the basic power.
[0017] It should be noted that the calculation process for the basic output power of the charging gun is as follows: S31. Obtain and analyze data on the minimum safe charging power of new energy vehicles, the maximum number of charging guns that can be connected to the charging pile, and the rated total output power of the charging pile. S32. The minimum guarantee factor is calculated according to the following formula. : ,in, For power grid safety redundancy coefficient, Minimum safe charging power for a single vehicle This represents the maximum number of charging guns that can be connected to the charging station. This refers to the rated total output power of the charging pile. S33. Obtain the battery capacity of the new energy vehicle corresponding to the charging gun, and perform analysis and calculation in conjunction with the minimum guarantee factor; S34. Calculate the basic output power of the charging gun according to the following formula. : ; Where R represents the battery capacity of the new energy vehicle corresponding to the charging gun, and n represents the number of new energy vehicles currently being charged. Let i be the battery capacity of the i-th new energy vehicle that is currently charging. This refers to the total power capacity of the charging pile. This is the minimum guarantee factor.
[0018] Then, the priority data of the vehicle corresponding to each charging gun is obtained, analyzed and calculated to obtain the charging priority index of the new energy vehicle charging gun. The calculation process for the charging priority index of new energy vehicle charging guns is as follows: S41. Obtain and analyze the priority data of the vehicle corresponding to the charging gun, wherein the priority data includes; S42. Calculate the charging priority index F of the new energy vehicle charging gun according to the following formula: ; Where L represents the remaining driving range of the new energy vehicle. This refers to the maximum driving range of new energy vehicles. The queuing time for new energy vehicles in charging queues. 'm' represents the longest historical queuing time, 'm' represents the total historical consumption of new energy vehicles at the current charging station, and 'M' represents the average historical consumption of new energy vehicles at the current charging station. 'b' is the preset driving mileage weighting coefficient, and 'b' is the preset queuing time weighting coefficient. The charging priority index of the new energy vehicle charging gun is used to reflect the charging priority of the new energy vehicle charging gun. The larger the value of the charging priority index, the higher the charging priority level of the new energy vehicle charging gun. The smaller the value of the charging priority index, the lower the charging priority level of the new energy vehicle charging gun.
[0019] Then, the comprehensive performance index and the energy replenishment priority index are obtained and analyzed in conjunction with the power data of the charging pile, which is used to intelligently control the output power of the charging gun. The process of intelligently controlling the output power of the charging gun is as follows: S51. Obtain the comprehensive performance index and the energy replenishment priority index, and analyze and calculate them in combination with the power data of the charging pile; S52. Calculate the remaining distributable power according to the following formula. : ,in, Where n is the rated total output power of the charging pile, and n is the number of new energy vehicles currently charging. The base power output of the i-th charging gun that is currently charging; S53. Calculate the increment of the charging gun output power corresponding to the high-performance battery being charged according to the following formula. : ; in, Where is the base power output of the charging gun, F is the charging priority index of the new energy vehicle charging gun, and n is the number of new energy vehicles currently charging. Let i be the priority index for energy replenishment of the i-th new energy vehicle charging gun. This refers to the comprehensive performance index of high-performance batteries for new energy vehicles. The preset power control coefficient is determined through extensive historical experimental data, and its value range is [range missing]. .
[0020] Finally, the SOC value of the new energy vehicle battery is monitored in real time to judge and handle the charging process. It should be noted that the process of judging and handling the charging process is as follows: S61. When the battery charge of a new energy vehicle reaches the target SOC value or the user actively stops charging, the charging pile stops charging the vehicle and releases the power resources it occupies. S62. If other vehicles are still charging, the power of the remaining vehicles will be redistributed and adjusted. S63. The charging process ends when all vehicles have finished charging or all users have stopped charging.
[0021] This invention acquires performance data of new energy vehicle batteries and calculates a comprehensive performance index, enabling precise differentiation between high-performance and low-performance batteries. This allows for differentiated charging control for batteries in different states, effectively improving charging efficiency and battery safety. Simultaneously, by combining the vehicle priority data corresponding to the charging gun with the calculated energy replenishment priority index, and comprehensively considering both the comprehensive performance index and the energy replenishment priority index, the invention intelligently regulates the output power of the charging gun. This achieves dynamic optimization of charging power allocation, avoiding uneven power distribution, maximizing the utilization of charging pile resources, and improving resource utilization and overall charging effect. Furthermore, by monitoring the SOC value of new energy vehicle batteries in real time and dynamically judging and handling the charging process, the invention can promptly release power resources after charging is completed and redistribute power to remaining vehicles, forming an intelligent closed-loop control mechanism. This not only solves the inefficiency problem caused by traditional fixed charging strategies but also effectively avoids safety hazards during charging, extends the lifespan of charging equipment, and improves the user charging experience and charging station operational efficiency.
[0022] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value.
[0023] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.
Claims
1. A multi-gun linkage adjustable control method for new energy vehicle charging piles, characterized in that, Includes the following steps: Step 1: Establish a connection with the new energy vehicle battery management system through the communication interface of the charging pile, obtain the performance data of the new energy vehicle battery, analyze and calculate it, obtain the comprehensive performance index of the new energy vehicle battery, and classify the new energy vehicle battery into high-performance battery and low-performance battery. Step 2: Obtain the priority data of the vehicle corresponding to each charging gun, and perform analysis and calculation to obtain the charging priority index of the new energy vehicle charging gun. Step 3: Obtain the comprehensive performance index and the energy replenishment priority index, and combine them with the charging pile power data for analysis, which will be used to intelligently control the output power of the charging gun. Step 4: Monitor the SOC value of the new energy vehicle battery in real time, and judge and handle the charging process.
2. The multi-gun linkage adjustable control method for new energy vehicle charging piles according to claim 1, characterized in that, The calculation process for the comprehensive performance index of new energy vehicle batteries is as follows: S11. Obtain and analyze the performance data of the new energy vehicle battery. The performance data includes the number of charge-discharge cycles, charging habit score, and battery usage time data of the new energy vehicle battery. S12. Calculate the comprehensive performance index C of new energy vehicle batteries according to the following formula: ； in, The actual number of charge-discharge cycles for new energy vehicle batteries. G represents the maximum number of charge-discharge cycles for a new energy vehicle battery, and G is the charging habit score for the new energy vehicle battery. Scoring is assigned to the pre-defined standard charging habits for new energy vehicle batteries. For the actual usage time of new energy vehicle batteries, This is the preset standard usage time for new energy vehicle batteries. The preset charge / discharge cycle weighting coefficient, The comprehensive performance index of new energy vehicle batteries is used to reflect the charging performance of new energy vehicle batteries, with preset charging habit weighting coefficients.
3. The multi-gun linkage adjustable control method for new energy vehicle charging piles according to claim 1, characterized in that, The process of classifying new energy vehicle batteries is as follows: S21. Obtain the preset comprehensive performance threshold. A comparative analysis was conducted with the comprehensive performance index C of new energy vehicle batteries. S22, when If the charging performance of the new energy vehicle battery is poor, it is classified as a low-performance battery. At the same time, the charging gun will output power to charge the low-performance battery according to the basic power. S23, when If the charging performance is high, it indicates that the new energy vehicle battery has high charging performance and is classified as a high-performance battery. At the same time, the output power of the charging gun is intelligently adjusted based on the basic power.
4. The multi-gun linkage adjustable control method for new energy vehicle charging piles according to claim 3, characterized in that, The calculation process for the basic output power of the charging gun is as follows: S31. Obtain and analyze data on the minimum safe charging power of new energy vehicles, the maximum number of charging guns that can be connected to the charging pile, and the rated total output power of the charging pile. S32. The minimum guarantee factor is calculated according to the following formula. : ,in, For power grid safety redundancy coefficient, Minimum safe charging power for a single vehicle This represents the maximum number of charging guns that can be connected to the charging station. This refers to the rated total output power of the charging pile. S33. Obtain the battery capacity of the new energy vehicle corresponding to the charging gun, and perform analysis and calculation in conjunction with the minimum guarantee factor; S34. Calculate the basic output power of the charging gun according to the following formula. : ； Where R represents the battery capacity of the new energy vehicle corresponding to the charging gun, and n represents the number of new energy vehicles currently being charged. Let i be the battery capacity of the i-th new energy vehicle that is currently charging. This refers to the total power capacity of the charging pile. This is the minimum guarantee factor.
5. The multi-gun linkage adjustable control method for new energy vehicle charging piles according to claim 1, characterized in that, The calculation process for the charging priority index of new energy vehicle charging guns is as follows: S41. Obtain and analyze the priority data of the vehicle corresponding to the charging gun, wherein the priority data includes; S42. Calculate the charging priority index F of the new energy vehicle charging gun according to the following formula: ； Where L represents the remaining driving range of the new energy vehicle. This refers to the maximum driving range of new energy vehicles. The queuing time for new energy vehicles in charging queues. 'm' represents the longest historical queuing time, 'm' represents the total historical consumption of new energy vehicles at the current charging station, and 'M' represents the average historical consumption of new energy vehicles at the current charging station. 'b' is the preset driving mileage weighting coefficient, 'b' is the preset queuing time weighting coefficient, and the charging priority index of the new energy vehicle charging gun is used to reflect the charging priority of the new energy vehicle charging gun.
6. The multi-gun linkage adjustable control method for new energy vehicle charging piles according to claim 1, characterized in that, The process of intelligently controlling the output power of the charging gun is as follows: S51. Obtain the comprehensive performance index and the energy replenishment priority index, and analyze and calculate them in combination with the power data of the charging pile; S52. Calculate the remaining distributable power according to the following formula. : ,in, Where n is the rated total output power of the charging pile, and n is the number of new energy vehicles currently charging. The base power output of the i-th charging gun that is currently charging; S53. Calculate the increment of the charging gun output power corresponding to the high-performance battery being charged according to the following formula. : ； in, Where is the base power output of the charging gun, F is the charging priority index of the new energy vehicle charging gun, and n is the number of new energy vehicles currently charging. Let i be the priority index for energy replenishment of the i-th new energy vehicle charging gun. This refers to the comprehensive performance index of high-performance batteries for new energy vehicles. This is the preset power control coefficient.
7. The multi-gun linkage adjustable control method for new energy vehicle charging piles according to claim 1, characterized in that, The process of judging and handling the charging process is as follows: S61. When the battery charge of a new energy vehicle reaches the target SOC value or the user actively stops charging, the charging pile stops charging the vehicle and releases the power resources it occupies. S62. If other vehicles are still charging, the power of the remaining vehicles will be redistributed and adjusted. S63. The charging process ends when all vehicles have finished charging or all users have stopped charging.