A branch current estimation and correction method for a parallel connected battery system based on dual BP neural networks-Reference-Cited by-同舟云学术

A branch current estimation and correction method for a parallel connected battery system based on dual BP neural networks

Published:2022-09 Issue:2 Volume:1 Page:100029
ISSN:2773-1537
Container-title:Green Energy and Intelligent Transportation
language:en
Short-container-title:Green Energy and Intelligent Transportation

Author:

Yu Quanqing^ORCID,Liu Yukun,Long Shengwen^ORCID,Jin Xin,Li Junfu,Shen Weixiang^ORCID

Publisher

Elsevier BV

Reference18 articles.

1. Algorithm for the detection of a single cell contact loss within parallel-connected cells based on continuous resistance ratio estimation;Fill;J Energy Storage,2020

2. Current distribution within parallel-connected battery cells;Brand;J Power Sources,2016

3. Current sensor fault diagnosis method based on an improved equivalent circuit battery model;Yu;Appl Energy,2022

4. Experimental investigation of parametric cell-to-cell variation and correlation based on 1100 commercial lithium-ion cells;Rumpf;J Energy Storage,2017

5. Fast self-heating battery with anti-aging awareness for freezing climates application;Xiong;Appl Energy,2022

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning enables rapid state of health estimation of each cell within battery pack;Applied Energy;2024-12

2. An online inconsistency evaluation and abnormal cell identification method for real-world electric vehicles;Energy;2024-10

3. Equivalent state of charge estimation method of hybrid energy storage system for electric vehicles based on multiple operating modes;Journal of Energy Storage;2024-10

4. Comprehensive performance comparison among different types of features in data-driven battery state of health estimation;Applied Energy;2024-09

5. Current sensorless diagnosis of the cell internal resistance consistency in a parallel module using relaxation voltage;Energy;2024-08