Adaptive model parameter identification for lithium-ion batteries based on improved coupling hybrid adaptive particle swarm optimization- simulated annealing method-Reference-Cited by-同舟云学术

Adaptive model parameter identification for lithium-ion batteries based on improved coupling hybrid adaptive particle swarm optimization- simulated annealing method

Published:2021-01 Issue: Volume:482 Page:228951
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Zhou Sida,Liu Xinhua,Hua Yang,Zhou Xinan,Yang Shichun

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference41 articles.

1. Concept of reliability and safety assessment of lithium-ion batteries in electric vehicles: Basics, progress, and challenges

2. Environmental impacts and behavioral drivers of deep decarbonization for transportation through electric vehicles

3. Parameter identification of electrolyte decomposition state in lithium-ion batteries based on a reduced pseudo two-dimensional model with Padé approximation

4. A comparative study of global optimization methods for parameter identification of different equivalent circuit models for Li-ion batteries

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