期刊
IFAC PAPERSONLINE
卷 51, 期 24, 页码 1431-1438出版社
ELSEVIER
DOI: 10.1016/j.ifacol.2018.09.536
关键词
Fault detection and isolation; Lithium-ion battery; Sensor fault; Internal fault; Unscented Kalman filter
资金
- Walloon Region (Belgium)
- Fonds pour la Formation a la Recheche dans l'Indsutrie et dans l'Agriculture (FRIA), FNRS
In this paper, first a simplified electrochemical model that includes internal faulty modes (capacity, power and rate capability fade) is developed for a lithium-ion battery. It is derived from the so-called equivalent hydraulic model for the battery electrodes, but it also includes the electrolyte dynamics as well as the thermal effects. Next this model is exploited to design a diagnosis system able to detect and isolate both internal faults and sensor faults. This system relies on a dual unscented Kalman filter for residual generation, as well as tracking of the parameters and the states of the model. The simulation results demonstrate that a set of fault indicators that allow fault discrimination can be obtained with the proposed approach. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据