首页> 外文会议>2013 World Electric Vehicle Symposium and Exhibition >Iterative capacity estimation of LiFePO4 cell over the lifecycle based on SoC estimation correction
【24h】

Iterative capacity estimation of LiFePO4 cell over the lifecycle based on SoC estimation correction

机译:基于SoC估计校正的生命周期内LiFePO 4 电池的迭代容量估计

获取原文
获取原文并翻译 | 示例

摘要

Real time state of charge (SoC) and state of health (SoH) monitoring plays an essential role in electric vehicles, hybrid electric vehicles and generally in battery powered applications. Between these two state estimations, only the SoC has been studied rigorously until the current dates, while SoH or capacity estimation are much less referenced on the literature. Additionally, the SoC and the SoH estimation are strongly correlated by widely used coulomb counting equation and consequently wrong capacity estimation would lead to a SoC estimation error, which in turn, will lead to a further capacity estimation error. In this sense, the first job was to develop the equivalent electric model, design SoC estimator and to verify both of them experimentally. Then, different alternative techniques for estimating the capacity are analyzed, selecting the best choice considering the observability degree of the object of estimation: capacity. Then, in this paper we propose a new method for estimating the capacity, called iterative transferred charge, which adapts the current capacity estimation value based on the SoC correction made by the corresponding estimator. Finally, the developed algorithm is evaluated by comparing the capacity estimation with the reference over the life of the cell, by extensive experimental tests.
机译:实时充电状态(SoC)和健康状态(SoH)监视在电动汽车,混合动力电动汽车以及通常由电池供电的应用中起着至关重要的作用。在这两种状态估计之间,只有SoC才被严格研究,直到目前为止,而SoH或容量估计在文献中所引用的要少得多。另外,SoC和SoH估计与广泛使用的库仑计数方程密切相关,因此错误的容量估计将导致SoC估计错误,进而导致进一步的容量估计错误。从这个意义上讲,第一个工作是开发等效的电模型,设计SoC估计器并通过实验验证两者。然后,分析了用于估计容量的不同替代技术,并考虑到估计对象的可观察性程度:容量,从而选择最佳选择。然后,在本文中,我们提出了一种估算容量的新方法,称为迭代转移电荷,该方法根据相应估算器进行的SoC校正来适应当前容量估算值。最后,通过广泛的实验测试,通过将容量估算值与电池寿命期间的参考值进行比较,来评估所开发的算法。

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