摘要
锂离子电池的荷电状态(SOC)是电池管理系统中的一个重要参数,准确的荷电状态估计对于确保锂离子电池安全可靠的运行十分重要。从估算原理和优缺点等方面出发,综述了国内外各种基于人工神经网络的SOC估算方法的研究进展,并提出了今后的研究展望。
State of charge(SOC)of lithium-ion batteries is an important parameter in battery management system.An accurate estimation of state of charge is very important to ensure the safe and reliable operation of lithium-ion batteries.The development of various SOC estimation methods based on artificial neural network was reviewed from the aspects of estimation principle,advantages and disadvantages,and then the future research prospects were put forward.
作者
刘冰
周浩兵
刘雨辰
徐帅
周飞
LIU BING;ZHOU Hao-bing;LIU Yu-chen;XU SHUAI;ZHOU FEI(National Key Laboratory of Helicopter Transmission Technology,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 210016,China;College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 210016,China)
出处
《电源技术》
CAS
北大核心
2019年第12期2036-2039,共4页
Chinese Journal of Power Sources
关键词
锂离子电池
荷电状态
估算方法
人工神经网络
lithium-ion battery
state of charge
estimation method
artificial neural network
