Multi-objective nonlinear observer design for multi-fault detection of lithium-ion battery in electric vehicles

Accurate and rapid fault detection is essential for the safe operation of lithium-ion batteries in electric vehicles. However, conventional fault detection methods dependent on constant thresholds may have false alarms or missing alarms due to the inevitable disturbances resulted from the battery sy...

Full description

Saved in:
Bibliographic Details
Published in:Applied energy 2024-05, Vol.362, p.122989, Article 122989
Main Authors: Xu, Yiming, Ge, Xiaohua, Shen, Weixiang
Format: Article
Language:English
Subjects:
Adaptive threshold
case studies
electric potential difference
Electric vehicle
Internal short circuit
lithium batteries
Lithium-ion battery
Multi-fault detection
Multi-objective observer
rapid methods
Sensor fault
sounds
vehicles (equipment)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Accurate and rapid fault detection is essential for the safe operation of lithium-ion batteries in electric vehicles. However, conventional fault detection methods dependent on constant thresholds may have false alarms or missing alarms due to the inevitable disturbances resulted from the battery system modeling errors and measurement noises. In this paper, we design a multi-objective nonlinear fault detection observer for lithium-ion batteries, which is robust against disturbances but sensitive to battery multi-fault. We then perform formal stability and L∞/H_ performance analysis for the resultant estimation error system. Furthermore, tractable design procedures for the observer gain parameter and an adaptive threshold are derived. Then, via adaptive thresholding, a delicate three-step multi-fault detection scheme is developed to detect the occurrence of battery various faults, including short-circuit faults, current and voltage sensor faults. Finally, the efficacy of the proposed scheme is validated under several experimental case studies involving a variety of faults with their different levels of severity and erroneous SOC initialization. •A general battery model that incorporates both multi-faults and disturbances.•A multi-objective nonlinear observer with formal stability and performance analysis.•A three-step multi-fault detection scheme with an adaptive threshold.•Extensive experimental studies involving a variety of faults.
ISSN:0306-2619
1872-9118
DOI:10.1016/j.apenergy.2024.122989