摘要
动力电池的荷电状态SOC作为纯电动汽车中车用电池管理系统的重要技术,对于动力电池的荷电状态SOC进行估算是研究与管理电池性能、延长电池使用寿命和提高车辆行驶性能的重要内容。本文通过对动力电池SOC的影响因素进行分析,并结合多种SOC值估算策略,对比各方法的特点及估算效果后,采用扩展卡尔曼滤波法作为动力电池荷电SOC值估算策略,用于提高电池SOC值估算的精度。
The state of charge SOC of the power battery is an important technology of the vehicle battery management system in pure electric vehicles.Estimating the state of charge SOC of the power battery is an important content for researching and managing battery performance,extending battery life and improving vehicle driving performance.This article analyzes the influencing factors of power battery SOC and combines multiple SOC value estimation strategies.After comparing the characteristics and estimation effects of each method,the extended Kalman filter method is used as the power battery charge SOC value estimation strategy to improve The accuracy of battery SOC value estimation.
作者
周嫣
ZHOU Yan(Wuxi Nanyang Vocational and Technical College,Wuxi Jiangsu 214000,China)
出处
《交通节能与环保》
2020年第5期7-10,共4页
Transport Energy Conservation & Environmental Protection
基金
江苏高校哲学社会科学研究项目(2019SJA0887)
无锡南洋职业技术学院精品课程(NYAK2019001)。