A Recurrent Neural Networks Approach for Estimating the Core Temperature in Lithium-Ion Batteries-Reference-Cited by-同舟云学术

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A Recurrent Neural Networks Approach for Estimating the Core Temperature in Lithium-Ion Batteries

Published:2020-09-01 Issue: Volume: Page:
ISSN:
Container-title:Progress in Canadian Mechanical Engineering. Volume 3
language:
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Author:

Ojo Olaoluwa,Lin Xianke,Lang Haoxiang,Kim Youngki

Publisher

University of Prince Edward Island. Robertson Library

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing electric bike battery management: Machine learning predictions of LiFePO4 temperature under varied conditions;Journal of Energy Storage;2024-10

2. Batteries temperature prediction and thermal management using machine learning: An overview;Energy Reports;2023-11

3. Estimation of Surface Temperature Distributions Across an Array of Lithium-Ion Battery Cells Using a Long Short-Term Memory Neural Network;SAE Technical Paper Series;2022-03-29

4. A Physics-Informed Machine Learning Approach for Estimating Lithium-Ion Battery Temperature;IEEE Access;2022

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