Real-Time Estimation of Temperature Distribution for Cylindrical Lithium-Ion Batteries under Boundary Cooling

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

22 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number7733146
Pages (from-to)2316-2324
Journal / PublicationIEEE Transactions on Industrial Electronics
Volume64
Issue number3
Publication statusPublished - 1 Mar 2017

Abstract

This paper presents a real-time estimation method for the temperature distribution of cylindrical batteries under boundary air cooling. A space-/time-separation-based analytical model is developed using Karhunen-Loève decomposition and Galerkin's method. The model parameters can be identified and optimized using data-based approaches. The developed analytical model demonstrates the robustness to variation of thermal parameters. However, the change of boundary cooling will significantly degrade the performance of the developed analytical model. For the known boundary cooling, the compensation model for cooling effects can be derived to improve the modeling performance. For the unknown boundary cooling in real practice, a dual-extended Kalman filter can be used to simultaneously estimate coupled parameters and convection coefficient in the compensation model. The proposed method can achieve satisfactory performance in the battery duty-cycle experiments.

Research Area(s)

  • Boundary cooling, cylindrical lithium-ion batteries, data-based identification and optimization, dual-extended Kalman filter (KF), Karhunen-Loève (K-L) decomposition, two-dimensional (2-D) thermal process