Estimating Lithium-Ion Battery State of Health with Least Squares Approach for Accurate Assessment-Reference-Cited by-同舟云学术

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Estimating Lithium-Ion Battery State of Health with Least Squares Approach for Accurate Assessment

Published:2024-02-22 Issue: Volume:abs/2301.02347 Page:1-7
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Container-title:2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)
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Author:

ArulKumar K.¹,Gowthami R.¹,Kumar Arapirala Venkata Pavan¹,Ramanathan P.²,Arun V.³

Affiliation:

1. Madanapalle Institute of Technology & Science,Department of Electrical & Electronics Engineering,Madanapalle,India

2. Madanapalle Institute of Technology & Science,Department of Electronics & Communication engineering,Madanapalle,India

3. School of Engineering, Mohan Babu University,Tirupati

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10493200/10493145/10493768.pdf?arnumber=10493768

Reference11 articles.

1. A Simplified Model-Based State-of-Charge Estimation Approach for Lithium-Ion Battery With Dynamic Linear Model

2. Nonlinear Fractional-Order Estimator with Guaranteed Robustness and Stability for Lithium-Ion Batteries

3. Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

4. Battery State-of-Charge Estimation Based on Regular/Recurrent Gaussian Process Regression

5. Online Model Identification and State-of-Charge Estimate for Lithium-Ion Battery With a Recursive Total Least Squares-Based Observer

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