An Improved Differential Evolution for Offline Parameter Estimation in Lithium-Ion Batteries with Real-World Usage Data-Reference-Cited by-同舟云学术

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An Improved Differential Evolution for Offline Parameter Estimation in Lithium-Ion Batteries with Real-World Usage Data

Published:2023-12-08 Issue: Volume:22 Page:1-7
ISSN:
Container-title:2023 Innovations in Power and Advanced Computing Technologies (i-PACT)
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Author:

Reddy Aala Kalananda Vamsi Krishna¹^ORCID,Shekhar Shivanshu²,Narayana Komanapalli Venkata Lakshmi³^ORCID,Raj Rahul²

Affiliation:

1. Indian Institute of Technology-Banaras Hindu University (IIT-BHU),Dept. of Electrical Engineering,Varanasi,Uttar Pradesh,India,221005

2. Inverted Energy Pvt Ltd. Noida,Dept. of Electronics,India

3. School of Electrical Engineering, Vellore Institute of Technology,Vellore,Tamil Nadu,India,632014

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433943/10433945/10434909.pdf?arnumber=10434909

Reference11 articles.

1. Parameter identification and SOC estimation of lithium-ion battery based on AGCOA optimization

2. Parameter Identification of Li-ion Batteries: A Comparative Study

3. Modified bald eagle search algorithm for lithium-ion battery model parameters extraction

4. Model Parameter Identification for Lithium-ion Batteries Based on Fractional Hybrid Genetic-Particle Swarm Optimization Method

5. Genetic Algorithm and Taguchi Method: An Approach for Better Li-Ion Cell Model Parameter Identification

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