Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles-Reference-Cited by-同舟云学术

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Critical Review on the Battery State of Charge Estimation Methods for Electric Vehicles

Published:2018 Issue: Volume:6 Page:1832-1843
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xiong Rui^ORCID,Cao Jiayi,Yu Quanqing,He Hongwen,Sun Fengchun

Funder

National Natural Science Foundation of China

Beijing Nova Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8274985/08168251.pdf?arnumber=8168251

Cited by 623 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. A review on thermal runaway warning technology for lithium-ion batteries;Renewable and Sustainable Energy Reviews;2024-12

2. How battery capacities are correctly estimated considering latent short-circuit faults;Applied Energy;2024-12

3. A hybrid deep learning framework integrating bidirectional sliding windows, TCN, and external attention for accurate state-of-charge estimation in lithium-ion batteries;Journal of Power Sources;2024-12

4. State of charge estimation for lithium-ion batteries with pre-set convergence time based on a comprehensive unobservable model;Electrochimica Acta;2024-11

5. State of charge estimation for electric vehicles using random forest;Green Energy and Intelligent Transportation;2024-10

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