摘要
针对电动汽车的动态无线充电方式,提出了一种自适应控制算法,对电动汽车的充电功率及其供电来源的供电配比进行优化调节。在代价函数中综合考虑了电动汽车用户的充电满意度、无线充电道路的负荷压力、供电成本以及供电稳定性,通过自适应动态规划(ADP)算法,训练神经网络估计并最小化长期代价函数,得到近似最优的控制策略。仿真结果表明,该方法能够兼顾用户充电满意度和充电道路的负荷压力,同时满足供电成本和供电稳定性的要求。
Considering the dynamic wireless charging mode of electric vehicles, an adaptive control algorithm is proposed to optimize the charging power of electric vehicles and the power supply ratio of the power supply sources. In the cost function, the charging satisfaction of the electric vehicle users, the load burden of a wireless charging road, the power supply cost and the power supply stability are comprehensively considered. Through an adaptive dynamic programming (ADP) algorithm, neural networks are trained to estimate and minimize the long-term cost function, and an approximate optimal control strategy is obtained. Simulation results show that the proposed method can take into account the user's charging satisfaction and load burden of the charging road, while meeting the requirements of power supply cost and stability.
作者
刘金华
况祥
钟伟锋
周文辉
LIU Jin-hua;KUANG Xiang;ZHONG Wei-feng;ZHOU Wen-hui(Zhongshan Institute, University of Electronic Science and Technology of China Zhongshan Guangdong 528402;School of Automation Engineering, University of Electronic Science and Technology of China Chengdu 611731;School of Automation, Guangdong University of Technology Guangzhou 510006)
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2019年第4期533-538,共6页
Journal of University of Electronic Science and Technology of China
基金
国家自然科学基金(61773126)
