摘要
准确估计电池荷电状态(SOC)是电动汽车电池管理的重要内容,SOC的准确评估对延长电池寿命和提高电动汽车整车性能具有重要意义。各国研究人员对电池SOC估计方法进行大量研究,先后提出了多种估计方法。文中介绍了电池SOC的定义及其主要影响因素,根据电池SOC估计方法的特点,按离线和在线方法对SOC估计方法进行总结和介绍,并比较了各方法的特点及实用效果。最后展望了电池SOC估计方法的两个潜在发展方向,即基于电池模型的非线性滤波方法和具有自学习能力的智能方法,为今后深入研究动力电池SOC估计方法提供借鉴。
The accurate estimation of state of charge （ SOC） is an important content in electric vehicle battery man-agement, which is also significant for extending the battery lifetime and improving the electric vehicle performance. Many studies are performed on SOC estimation methods by researchers all over the world, and lots of estimation meth-ods are proposed.In this paper, the definition of battery SOC and its main influencing factors are introduced.Accord-ing to the characteristics of estimation methods for battery SOC, the estimation methods are summarized and recom-mended based on off-line and on-line methods.The characteristics and practical effects of each method are compared. In order to give reference to the further research about SOC estimation methods for power battery in future, two poten-tial development directions of battery SOC estimation method are prospected, which are the nonlinear filtering method based on the cell model and the intelligent method with self-learning ability.
出处
《电测与仪表》
北大核心
2014年第24期76-84,共9页
Electrical Measurement & Instrumentation
基金
国家自然科学基金(51067002
51167004)
广西科技攻关重大专项(桂科重1348003-8)
广西制造系统与先进制造技术重点实验室主任课题(13-051-09-002Z)
