“State-of-Charge Estimation Methodology for Lithium-Ion Batteries Utilizing Extended Kalman Filtering”-Reference-Cited by-同舟云学术

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“State-of-Charge Estimation Methodology for Lithium-Ion Batteries Utilizing Extended Kalman Filtering”

Published:2023-11-02 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)
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Author:

Vidya Raja¹,M Uttara Kumari²,R Sridhar³,S R Dhanush¹,Sharma Shriram J¹,H S Ullas Vishwakarma¹,G Prajwal B¹

Affiliation:

1. R V College of Engineering,Dept. of Electrical and Electronics Engineering,Bengaluru,India

2. R V College of Engineering,Dept. of Electrical and Communication Engineering,Bengaluru,India

3. R V College of Engineering,Dept of Mechanical Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10333972/10333315/10334095.pdf?arnumber=10334095

Reference15 articles.

Cited by 1 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. SoC Estimation of Li-ion Battery using Extended Kalman Filter;2024 1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS);2024-04-26

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