Fast Modeling of Battery Thermal Dynamics Based on Spatio-Temporal Adaptation

The thermal effect has a significant impact on the performance and durability of lithium-ion batteries. This article proposes a systematic approach for fast modeling of the distributed battery thermal process. In this method, the time/space (T/S) separation is adopted to decompose the spatio-tempora...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2022-01, Vol.18 (1), p.337-344
Main Authors: Zhou, Yu, Li, Han-Xiong, Xie, Sheng-Li
Format: Article
Language:English
Subjects:
Adaptation models
Basis functions
Batteries
Battery thermal process
Computational modeling
Data models
incremental adaptation
Lithium
Lithium-ion batteries
Mathematical model
Modeling
Numerical models
Rechargeable batteries
Separation
Temperature distribution
Temperature effects
temperature estimation
time/space separation
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Summary:The thermal effect has a significant impact on the performance and durability of lithium-ion batteries. This article proposes a systematic approach for fast modeling of the distributed battery thermal process. In this method, the time/space (T/S) separation is adopted to decompose the spatio-temporal thermal dynamics. Under the T/S separation, an incremental-learning-based regulator is first employed for the recursive update of spatial basis functions, which can represent the most recent spatial complexity. Then, a corresponding temporal model with incremental adaptive characteristics is developed to capture the temporal nonlinearity. Under such a fully adaptive modeling pattern, the desired temperature distribution can be reconstructed with high efficiency and flexibility. Experimental studies indicate that the proposed method can achieve satisfactory modeling performance while its computational efficiency is outstanding compared to peer methods.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2021.3071775