Adaptive Integral Correction-Based State of Charge Estimation Strategy for Lithium-Ion Cells
Author:
Affiliation:
1. Electrical and Electronics Engineering Department, Government Engineering College Thrissur, APJ Abdul Kalam Technological University, Thiruvananthapuram, Kerala, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09810241.pdf?arnumber=9810241
Reference60 articles.
1. A Novel Battery State of Charge Estimation Method Based on a Super-Twisting Sliding Mode Observer
2. An Improved SOC Estimator Using Time-Varying Discrete Sliding Mode Observer
3. Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach
4. Li-ion battery SOC estimation method based on the reduced order extended Kalman filtering
5. Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries
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