Advancements in Battery State of Charge Estimation Methods for Battery Management Systems: A Comprehensive Literature Review-Reference-Cited by-同舟云学术

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Advancements in Battery State of Charge Estimation Methods for Battery Management Systems: A Comprehensive Literature Review

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE East-West Design & Test Symposium (EWDTS)
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Author:

Song Ningfei¹,Jin Nanlin¹,Wang Jingchen¹,Zhang Jie¹,Smith Jeremy S.²,Yue Yutao³,Jung Young-Ae⁴,Man Ka Lok¹

Affiliation:

1. School of Advanced Technology, Xi'an Jiaotong-Liverpool University,Suzhou,China

2. The University of Liverpool,Department of Electrical Engineering and Electronics,Liverpool,United Kingdom,L69 3GJ

3. Institute of Deep Perception Technology, JITRI, Wuxi, China XJTLU-JITRI Academy of Industrial Technology Xi'an Jiaotong-Liverpool University,Suzhou,China

4. Sun Moon University,Division of IT Education,Chung-nam,South Korea

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10296971/10297023/10297068.pdf?arnumber=10297068

Reference36 articles.

1. A Review on Kalman Filter Models

2. Accuracy improvement of SOC estimation in lithium-ion batteries

3. Tabular Open Circuit Voltage Modelling of Li-Ion Batteries for Robust SOC Estimation

4. Sideslip angle estimation based on input–output linearisation with tire–road friction adaptation

5. Kalman Filter and Its Application

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