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| Modeling and Analysis of Redundancy of Battery Replacement for Electric Vehicles Based on Edge Computing |
| XIE Hu1,CHEN Zhi-wei2,GUO Wen-xin2,ZHAO Rui-feng2,LIU Yang2 |
1. Digital Grid Research Institute, China Southern Power Grid. Guangzhou, Guangdong 510670, China
2. Power Dispatching and Controlling Center of Guangdong Power Grid Company Limited, Guangzhou, Guangdong 510610, China |
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Abstract In order to solve the problem of high battery redundancy and high charging cost in electric vehicle power station, based on edge calculation,the modeling and analysis of battery redundancy are studied. Combined with edge computing and cloud computing technology, an edge computing platform for analyzing the redundancy of electric vehicle battery is established. The edge node A is used to collect the electric vehicle electricity information, and the collected data is uploaded to the cloud platform. The cloud platform uses the electric vehicle battery charging optimization control model to analyze the edge node B associated with the electric vehicle battery redundancy, and solves the model using adaptive genetic algorithm to realize the optimization of battery charging. The experimental results show that the model can effectively analyze the battery redundancy of electric vehicle, and the monthly charging cost of the battery can be reduced by more than 13% when the model is applied to the electric vehicle exchange station.
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Received: 09 June 2021
Published: 18 May 2023
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|
Li S C, Wang Q Y, Kou W G, et al. Research on minimizing Energy C onsumption Based on Vehicle Edge ［J］. University of Electronic Technology, 2020, 49 (2): 206-212.
|
| ［3］ |
钱斌, 蔡梓文, 肖勇, 等. 基于边缘计算的电表计量系统数据协同检测方案 ［J］. 中国电力, 2019, 52(11): 145-152.
|
|
Jan Z F, Chen J W, Zhang M Y. Cheung. Improving the chaotic bat group collaborative scheduling algorithm for edge computing ［J］. Small Microcomputer System, 2019, 40 (11): 2424-2430.
|
| ［8］ |
韩笑, 周明, 李庚银. 基于无迹变换随机潮流建模的主动配电网优化调度 ［J］. 电力系统保护与控制, 2018, 46(3): 9-17.
|
| ［9］ |
袁洪涛, 韦钢, 张贺, 等. 基于模型预测控制含充换储一体站的配电网优化运行 ［J］. 电力系统自动化, 2020, 44(5): 187-197.
|
| ［10］ |
孙伟卿, 陈顺风, 刘通, 等. 电动汽车换电站运营效益建模与分析 ［J］. 系统仿真学报, 2018, 30(2): 388-396.
|
| ［11］ |
黄敏丽, 于艾清. 基于改进布谷鸟算法的电动汽车换电站有序充电策略研究 ［J］. 中国电机工程学报, 2018, 38(4): 1075-1083.
|
|
Duan X, Zhang C H, Zhang K, et al. Probabilistic Modeling of Space Distribution of Electric Vehicles ［J］. Grid Technology, 2019, 43 (12): 4541-4550.
|
| ［13］ |
Rupp M, Handschuh N, Rieke C, et al. Contribution of country-specific electricity mix and charging time to environmental impact of battery electric vehicles: A case study of electric buses in Germany ［J］. Applied Energy, 2019, 237(1): 618-634.
|
|
Lv X Z, Fan B X, Zhao X H, et al. Availability Analysis of Complex Redundancy Systems Based on Discrete Event Simulation ［J］. Computer Engineering and Application, 2018, 54 (15): 255-261.
|
|
Li J, Luo Y, Zou X Y, et al. DC System Pressure Loss Compensation Research Based on Battery Redundancy Technology ［J］. Power Electronics, 2019, 325 (12): 61-65.
|
|
Liang Z G, Sun H L, Yin X, et al. Evaluation of transfer function of resistance strain data acquisition system ［J］. Acta Metrologica Sinica, 2020, 41(11): 1380-1385.
|
| ［18］ |
冯建, 胡俊杰, 胡斌. 交流注入式电池内阻测试仪电阻参数的校准方法 ［J］. 计量学报, 2020, 41(5): 592-596.
|
|
Li B, Niu L, Huang X, et al. On-board Edge Transfer Strategy Based on M obile Path Prediction ［J］. Electronics and informatics, 2020, 42 (11): 2664-2670.
|
|
Deng X H, Guan P Y, Wan Z W, et al. A Collaborative Study of Edge Computing Resources Based on Integrated Trust ［J］. Computer Research and Development, 2018, 55 (3): 449-477.
|
|
Huang M L, Yu A Q. Orderly Charging Strategy of Electric Vehicle Changing Station Based on improved cuckoo algorithm ［J］. Chinese Journal of Electrical Engineering, 2018, 38 (4): 1075-1083.
|
| ［17］ |
徐新平, 王锐, 袁静, 等. 惯性导航设备升沉数据测试系统研究 ［J］. 计量学报, 2020, 41(4): 500-504.
|
|
Feng J, Hu J J, Hu b. Calibration method for resistance parameters of AC injection battery Internal Resistance Tester ［J］. Acta Metrologica Sinica, 2020, 41(5): 592-596.
|
|
Guo Y C, Gao L, Wang H, et al. Energy Consumption Optimization Based on Content Dynamic refresh in Mobile Edge Computing ［J］. Computer Research and Development, 2018, 55 (3): 563-571.
|
|
Zhao H T, Zhu Y Y, Ding Y, et al. Research on the Content-aware C lassification and Unloading Algorithm in the Internet of Vehicles ［J］. Electronics and Information Journal, 2020, 42 (1): 20-27).
|
|
Yuan H T, Wei G, Zhang H, et al. Optimization operation of charging and storage station ［J］. Power System Automation, 2020, 44 (5): 187-197.
|
|
Sun W Q, Chen S F, Liu T, et al. Modeling and Analysis of Electric Vehicle Exchange Station ［J］. System Simulation Journal, 2018, 30 (2): 388-396.
|
| ［15］ |
李晶, 罗洋, 邹学毅, 等. 基于蓄电池冗余技术的直流系统失压补偿研究 ［J］. 电力电子技术, 2019, 325(12): 61-65.
|
| ［16］ |
梁志国, 孙浩琳, 尹肖, 等. 电阻应变数据采集系统传递函数的评价 ［J］. 计量学报, 2020, 41(11): 1380-1385.
|
| ［7］ |
简琤峰, 陈家炜, 张美玉. 面向边缘计算的改进混沌蝙蝠群协同调度算法 ［J］. 小型微型计算机系统, 2019, 40(11): 2424-2430.
|
|
Han X, Zhou M, Li G Y. Optimized Dispatching of Active Distribution Network Based on the Random Current Flow Model ［J］. Power System Protection and Control, 2018, 46 (3): 9-17.
|
| ［12］ |
段雪, 张昌华, 张坤, 等. 电动汽车换电需求时空分布的概率建模 ［J］. 电网技术, 2019, 43(12): 4541-4550.
|
| ［14］ |
吕学志, 范保新, 赵新会, 等. 基于离散事件仿真的复杂冗余系统可用度分析 ［J］. 计算机工程与应用, 2018, 54(15): 255-261.
|
|
Xu X P, Wang R, Yuan J, et al. Research on heave data test system for inertial navigation equipment ［J］. Acta Metrologica Sinica, 2020, 41(4): 500-504.
|
| ［1］ |
李波, 牛力, 黄鑫, 等. 基于移动路径预测的车载边缘计算卸载切换策略研究 ［J］. 电子与信息学报, 2020, 42(11): 2664-2670.
|
| ［2］ |
李世超, 王秋云, 寇为刚, 等. 基于车辆边缘计算的用户能耗最小化资源分配研究 ［J］. 电子科技大学学报, 2020, 49(2): 206-212.
|
|
Qian B, Cai Z W, Xiao Y, et al. Based on Edge Computing ［J］. China Power, 2019, 52 (11): 145-152.
|
| ［4］ |
郭延超, 高岭, 王海, 等. 移动边缘计算中基于内容动态刷新的能耗优化 ［J］. 计算机研究与发展, 2018, 55(3): 563-571.
|
| ［5］ |
赵海涛, 朱银阳, 丁仪, 等. 车联网中基于移动边缘计算的内容感知分类卸载算法研究 ［J］. 电子与信息学报, 2020, 42(1): 20-27.
|
| ［6］ |
邓晓衡, 关培源, 万志文, 等. 基于综合信任的边缘计算资源协同研究 ［J］. 计算机研究与发展, 2018, 55(3): 449-477.
|
|
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2023, Vol. 44 
