A comparative study of state-of-charge estimation algorithms for lithium-ion batteries in wireless charging electric vehicles-Reference-Cited by-同舟云学术

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A comparative study of state-of-charge estimation algorithms for lithium-ion batteries in wireless charging electric vehicles

Published:2016-10 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW)
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Author:

Tian Yong,Li Dong,Tian Jindong,Xia Bizhong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7761913/7772054/07772089.pdf?arnumber=7772089

Cited by 11 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. State-Of-Charge Estimation using Extended Kalman Filter;2023 International Conference for Advancement in Technology (ICONAT);2023-01-24

2. Performance Analysis of State of Charge Estimation Techniques for Two-Wheeler Electric Vehicles;2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON);2022-05-05

3. Abnormal Battery Identification via Graph Signal Processing Method;2022 7th Asia Conference on Power and Electrical Engineering (ACPEE);2022-04

4. State of Charge Estimation of Electrical Vehicle Battery;2022 Interdisciplinary Research in Technology and Management (IRTM);2022-02-24

5. PERFORMANCE ANALYSIS ON DYNAMIC WIRELESS CHARGING FOR ELECTRIC VEHICLE USING FERRITE CORE;IIUM Engineering Journal;2022-01-04

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