基于改进 Thevenin 模型的扩展卡尔曼滤波估计算法用于锂电池系统管理
信号处理
2019-10-09 v2 适应与自组织系统
摘要
我们提出了一种基于改进 Thevenin 模型的扩展卡尔曼滤波（EKF）新估计算法；通过 7 节 4Ah 钴酸锂电池串联实验验证了有效性。实验结果表明，采用该算法时 SOC 估计误差在允许误差范围内，可满足在线 SOC 估计需求。
引用
@article{arxiv.1902.00226,
title = {An Estimation Algorithm of Extended Kalman Filter based on improved Thevenin Model for the management of Lithium Battery System},
author = {Peng Li},
journal= {arXiv preprint arXiv:1902.00226},
year = {2019}
}
备注
Because of the author's inexperience (the first time) when this article was uploaded, due to the problems of document management software, the contents of other authors in the reference were mistakenly uploaded to the article. Although no comments were received, the author still asked to withdraw this article and sincerely apologized