Chebyshev–Galerkin-Based Thermal Fault Detection and Localization for Pouch-Type Li-Ion Battery

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

View graph of relations


  • Jinhui Zhou
  • Zhengwei Ma
  • Xiaolin Mou
  • Liqun Chen

Related Research Unit(s)


Original languageEnglish
Pages (from-to)3436-3445
Number of pages10
Journal / PublicationIEEE Transactions on Industrial Informatics
Issue number3
Online published7 Sept 2023
Publication statusPublished - Mar 2024


Temperature is a key factor affecting the safety of the Lithium-ion (Li-ion) battery. Therefore, real-time thermal fault diagnosis is becoming more and more prominent, as battery faults can lead to local overheating and thermal runaway in severe cases. This article proposes a Chebyshev–Galerkin-based thermal fault detection and localization framework for the pouch-type Li-ion battery under limited sensing. First, the Chebyshev function is used to construct the spatial basis functions with global and orthonormal properties. Under the time–space (T-S) separation framework, the time coefficients can be derived through the Galerkin method using six sensors. Then, by decomposing the time coefficients using the independent component analysis, the temporal and spatial reference statistics can be formed for real-time fault detection. Finally, considering the detected fault snapshots, the thermal fault location can be identified by finding the maximum contributed position through T-S synthesis. Simulations and experiments demonstrate the effectiveness of the proposed method. © 2023 IEEE.

Research Area(s)

  • Batteries, Chebyshev approximation, Distributed thermal process, fault detection, fault localization, Heating systems, Lithium-ion (Li-ion) battery, Lithium-ion batteries, Location awareness, Thermodynamics

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. Research Unit(s) information for this record is based on his previous affiliation.