Active Cell Balancing Control Strategy for Parallelly Connected LiFePO_(4) Batteries

作     者：Md Ohirul Qays Yonis Buswig Md Liton Hossain Md Momtazur Rahman Ahmed Abu-Siada Md Ohirul Qays;Yonis Buswig;Md Liton Hossain;Md Momtazur Rahman;Ahmed Abu-Siada

作者机构：Department of Electrical and Electrical EngineeringFaculty of EngineeringUniversity Malaysia SarawakKota SamarahanSarawakMalaysia Department of Electrical and Computer EngineeringCurtin UniversityKent StreetBentleyPerth 6102WAAustralia Electron Science Research InstituteEdith Cowan University270 Joondalup DriveJoondalupWA6027Australia 

出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)

年 卷 期：2021年第7卷第1期

页      面：86-92页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

基　　金：research and innovation management center(RIMC)UNIMAS via Fundamental Research Grant Scheme FRGS/1/2017/TK10/UNIMAS/03/1 Ministry of Higher Education Malaysia 

主　　题：Active cell balancing battery management system DC/DC buck-boost converter state of charge estimation 

摘      要：While several recent studies have focused on elimi-nating the imbalance of energy stored in series-connected battery cells,very little attention has been given to balancing the energy stored in parallel-connected battery *** such,this paper aims at presenting a new balancing approach for parallel LiFePO_(4) battery *** this regard,a Backpropagation Neural Network(BPNN)based technique is employed to develop a Battery Management System(BMS)that can assess the charging status of all cells and control its operations through a DC/DC Buck-Boost *** results demonstrate the effectiveness of the proposed approach in balancing the energy stored in parallel-connected battery cells in which the state of charge(SoC)estimation error is found to be only 1.15%.