...
首页> 外文期刊>IEEE Transactions on Industrial Electronics >Sequential Monte Carlo Filter for State-of-Charge Estimation of Lithium-Ion Batteries Based on Auto Regressive Exogenous Model
【24h】

Sequential Monte Carlo Filter for State-of-Charge Estimation of Lithium-Ion Batteries Based on Auto Regressive Exogenous Model

机译:基于自回归外生模型的锂离子电池充电状态估计的顺序蒙特卡罗滤波器

获取原文
获取原文并翻译 | 示例

摘要

The state of charge (SOC) of lithium-ion batteries (LIBs) is an important evaluation index in battery management system of energy storage systems. However, it is always a challenging task to accurately estimate SOC of LIBs, because of the existence of non
机译:锂离子电池(LIB)的充电状态(SOC)是储能系统电池管理系统中的重要评估指标。但是,由于存在非可比性,准确估计LIB的SOC始终是一项艰巨的任务。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号