Lithium-Ion Battery Cell Open Circuit Fault Diagnostics: Methods, Analysis, and Comparison-Reference-Cited by-同舟云学术

Lithium-Ion Battery Cell Open Circuit Fault Diagnostics: Methods, Analysis, and Comparison

Published:2023-02 Issue:2 Volume:38 Page:2493-2505
ISSN:0885-8993
Container-title:IEEE Transactions on Power Electronics
language:
Short-container-title:IEEE Trans. Power Electron.

Author:

Zhou Shiyao¹,Chen Ziqiang²^ORCID,Lin Tiantian¹^ORCID

Affiliation:

1. State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China

2. State Key Laboratory of Ocean Engineering and Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/63/9952160/09913923.pdf?arnumber=9913923

Reference39 articles.

1. Model Prediction and Rule Based Energy Management Strategy for a Plug-in Hybrid Electric Vehicle With Hybrid Energy Storage System

2. Long Short-Term Memory

3. An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine

4. Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks

5. Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures

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