Model-based impending lithium battery terminal voltage collapse detection via data-driven and machine learning approaches-Reference-Cited by-同舟云学术

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Model-based impending lithium battery terminal voltage collapse detection via data-driven and machine learning approaches

Published:2024-05 Issue: Volume:86 Page:111279
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Tameemi Ali Qahtan,Kanesan Jeevan^ORCID,Khairuddin Anis Salwa Mohd^ORCID

Funder

Malaysia Ministry of Higher Education

Publisher

Elsevier BV

Reference59 articles.

1. A review of Lithium-Ion battery fault diagnostic algorithms: Current progress and future challenges;Tran;Algorithms,2020

2. Litmum batteries on 2003 mars exploration rover;Ratnakumar,2002

3. Linden’s Handbook of Batteries;Reddy,2011

4. The latest bull case for electric cars: The cheapest batteries ever;Chediak;Bloomberg,2017

5. Thermal management of lithium-ion battery pack with liquid cooling;Saw,2015

Cited by 2 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. Real-Time Thermal Runaway Detection of a Lithium Battery Using X-Ray Video Frames;IEEE Sensors Letters;2024-08

2. A Physics-Based Equivalent Circuit Model and State of Charge Estimation for Lithium-Ion Batteries;Energies;2024-07-31

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