A Comprehensive Review of Health Indicators of Li-ion Battery for Online State of Health Estimation-Reference-Cited by-同舟云学术

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A Comprehensive Review of Health Indicators of Li-ion Battery for Online State of Health Estimation

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)
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Author:

Liu Wei,Xu Yan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9039860/9061690/09062037.pdf?arnumber=9062037

Cited by 15 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. State‐of‐health estimation of lithium‐ion batteries: A comprehensive literature review from cell to pack levels;Energy Conversion and Economics;2024-08

2. Driving behavior-guided battery health monitoring for electric vehicles using extreme learning machine;Applied Energy;2024-06

3. Improved Deep Extreme Learning Machine for State of Health Estimation of Lithium-Ion Battery;International Journal of Energy Research;2024-05-18

4. A Review of Techniques for State of Charge and State of Health Estimation in Battery Management Systems;2023 IEEE 21st Student Conference on Research and Development (SCOReD);2023-12-13

5. A comprehensive study on state-of-charge and state-of-health estimation of sodium-ion batteries;Journal of Energy Storage;2023-11

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