SOC Estimation of Lithium Batteries Based on Deep Learning and Particle Filtering-Reference-Cited by-同舟云学术

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SOC Estimation of Lithium Batteries Based on Deep Learning and Particle Filtering

Published:2022-09-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition
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Author:

Zhang Wenjin¹^ORCID,Liu Yao¹^ORCID,Li Lei¹^ORCID,Li Xiangyu¹^ORCID,Chang Jiantao¹^ORCID

Affiliation:

1. Xi'an University of Posts & Telecommunications, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573942.3573946

Reference22 articles.

1. Implementation Method Analysis and Performance Comparison review of SOC estimation of lithium battery[J];Chong L;Energy Storage Science and Technology,2022

2. Xiaoqiang Z Gongxing Y. 2021. Estimating SOC and SOH of lithium battery based on nano material[J]. Ferroelectrics 580(1).

3. DEKF-based SOC estimation study for lithium batteries[J];Yuhang C;Journal of Physics: Conference Series, 2263(1).,2022

4. Estimation of State of Charge of Lithium-ion Batteries Based on Temperature-Variable Bipolarization Model[J];Changhe L;Journal of Chongqing University,2022

5. Xiaoyue L Yuzhan W. 2021. SoC Estimation of Lithium Batteries for Optimized Neural Networks[J]. Mechanical Design and Manufacturing (11).

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