Transfer learning prediction on lithium-ion battery heat release under thermal runaway condition
Accurately predicting the variability of thermal runaway (TR) behavior in lithium-ion (Li-ion) batteries is critical for designing safe and reliable energy storage systems. Unfortunately, traditional calorimetry-based experiments to measure heat release during TR are time-consuming and expensive. He...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2024-12-01
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| Series: | Nano Research Energy |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/NRE.2024.9120147 |
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