电源技术2013，Vol.37Issue(6)：966-968,3.
新能源汽车用动力电池管理系统设计
Design of battery management system for new energy vehicles
刘锦绢 1刘贤兴 1孙金虎 2张育华2
作者信息
- 1. 江苏大学电气信息工程学院,江苏镇江212013
- 2. 镇江恒驰科技有限公司,江苏镇江212013
- 折叠
摘要
Abstract
Battery SOC is one of the key parameters of a new energy vehicles.In this paper,a combination of self-learning algorithm and dynamic A.H algorithm and extended Kalman filter algorithm was use to estimate battery SOC.The experimental results show that this combinated algorithm is more accurate than the ordinary single algorithm; the error is less than 2％.Meanwhile,by using of the electronic switching networks concentrated equalizer,the designed BMS can compensate the performance inconsistency of the batteries in a battery package and reduce the chances of the batteries working overcharged and overdischarged.So,as a result,the service life of the battery package is extended.关键词
电池管理/SOC估算/均衡充电Key words
BMS/ SOC/ equalizer分类
信息技术与安全科学引用本文复制引用
刘锦绢,刘贤兴,孙金虎,张育华..新能源汽车用动力电池管理系统设计[J].电源技术,2013,37(6):966-968,3.
