Zou, Yuanru https://orcid.org/0009-0008-8467-9335
Wang, Shunli https://orcid.org/0000-0003-0485-8082
Hai, Nan https://orcid.org/0000-0002-3488-7952
Xie, Yanxin https://orcid.org/0000-0002-6844-2716
Fernandez, Carlos
Funding for this research was provided by:
Dazhou City School Cooperation Project (DZXQHZ006)
Technopole Talent Summit Project (KJCRCFH08)
National Natural Science Foundation of China (52377217)
Sichuan Science and Technology Program (23NSFSC1436)
Article Title: An Improved Self-Adaptive Flower Pollination-Backpropagation Neural Network for the State of Charge Estimation of Lithium-Ion Batteries with Output Sliding Average Window Strategy
Journal Title: Journal of The Electrochemical Society
Article Type: paper
Copyright Information: © 2024 The Electrochemical Society (“ECS”). Published on behalf of ECS by IOP Publishing Limited. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2023-11-02
Date Accepted:
Online publication date: 2024-02-07