Disturbance-Immune and Aging-Robust Internal Short Circuit Diagnostic for Lithium-Ion Battery
Journal article, 2022

The accurate diagnostic of internal short circuit (ISC) is critical to the safety of lithium-ion battery (LIB), considering its consequence to disastrous thermal runaway. Motivated by this, this paper proposes a novel ISC diagnostic method with a high robustness to measurement disturbances and the capacity fading. Particularly, a multi-state-fusion ISC diagnostic method leveraging polarization dynamics instead of the conventional charge depletion is proposed within a model-switching framework. This is well proven to eliminate the vulnerability of diagnostic to battery aging. Within this framework, the recursive total least squares method with variant forgetting (RTLS-VF) is exploited, for the first time, to mitigate the adverse effect of measurement disturbances, which contributes to an unbiased estimation of the ISC resistance. The proposed method is validated both theoretically and experimentally for high diagnostic accuracy as well as the strong robustness to battery degradation and disturbance.

recursive total least squares

state estimate

Lithium-ion battery

fault diagnosis

internal short circuit

Author

Jian Hu

Beijing Institute of Technology

Hongwen He

Beijing Institute of Technology

Zhongbao Wei

Beijing Institute of Technology

Yang Li

Chalmers, Electrical Engineering, Systems and control, Automatic Control

IEEE Transactions on Industrial Electronics

0278-0046 (ISSN)

Vol. 69 2 1988-1999

Areas of Advance

Information and Communication Technology

Energy

Driving Forces

Sustainable development

Subject Categories

Control Engineering

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/TIE.2021.3063968

More information

Latest update

11/24/2021