Simulation-Based Electrothermal Feature Extraction and FCN–GBM Hybrid Model for Lithium-ion Battery Temperature Prediction
Accurate temperature prediction plays a vital role in the thermal management and safety assurance of lithium-ion battery systems. This study proposes a hybrid temperature prediction model that integrates Fully Connected Networks (FCN) and Gradient Boosting Machines (GBM) to capture temperature evolu...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Electrochemical Society of Japan
2025-08-01
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| Series: | Electrochemistry |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/electrochemistry/93/8/93_25-00067/_html/-char/en |
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