Engineering Implementation of SOH Estimation and RUL Prediction for Power Battery Based on Sparse Sampled Data-Reference-Cited by-同舟云学术

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Engineering Implementation of SOH Estimation and RUL Prediction for Power Battery Based on Sparse Sampled Data

Published:2023-11-17 Issue: Volume:20 Page:140-145
ISSN:
Container-title:2023 9th International Conference on Mechanical and Electronics Engineering (ICMEE)
language:
Short-container-title:

Author:

Lv Jingjinge¹,Wang Rui²,XiangLi Kang³,Wu ChunLing¹,Zhang Zhen¹

Affiliation:

1. School of Energy and Electrical Engineering, Chang'an University,Xi'an, Shaanxi Province,China

2. Deltronics Future Automotive Technology Co Shaanxi AUTOMOBILE Group Co., Ltd.,Xi'an, Shaanxi Province,China

3. School of Electronic Control Engineering, Chang'an University,Xi'an, Shaanxi Province,China

Funder

National Key Research and Development Program of China

China Postdoctoral Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525258/10525262/10525362.pdf?arnumber=10525362

Reference20 articles.

1. Graphite anode interface SEI film and thermal runaway of lithium-ion batteries[J/OL];Zhang;Energy Storage Science and Technology,2023

2. A review of research on health state estimation methods for lithium-ion batteries[J];Hu;Journal of Power Sources,2022

3. Intelligent state of health estimation for lithium-ion battery pack based on big data analysis

4. Remaining useful life prediction for 18650 sodium-ion batteries based on incremental capacity analysis

5. Modeling and reliability analysis of lithium battery energy storage system based on differential power conversion[J/OL];Zheng;Power Grid Technology,2023

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