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Recent Progress and Future Trends on the State of Charge Estimation Methods to Improve Battery-storage Efficiency: A Review

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CSEE Journal of Power and Energy Systems 2022年第1期8卷 105-114页

作者： md ohirul qays Yonis Buswig md Liton Hossain Ahmed Abu-Siada Department of Electrical and Electrical Engineering Faculty of EngineeringUniversiti Malaysia SarawakKota SamarahanSarawakMalaysia Department of Electrical and Computer Engineering Curtin UniversityKent StreetBentleyPerth 6102WAAustralia

Battery storage systems are subject to frequent charging/discharging cycles,which reduce the operational life of the battery and reduce system reliability in the long *** such,several Battery Management Systems(BMS)have been developed to maintain system reliability and extend the battery’s operative *** estimation of the battery’s State of Charge(SOC)is a key challenge in the BMS due to its non-linear *** paper presents a comprehensive review on the most recent classifications and mathematical models for SOC *** trends for SOC estimation methods are also presented.

关键词： Battery Management System(BMS) battery modeling battery storage efficiency state of charge(SOC)

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

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CSEE Journal of Power and Energy Systems 2021年第1期7卷 86-92页

作者： md ohirul qays Yonis Buswig md Liton Hossain md Momtazur Rahman Ahmed Abu-Siada Department of Electrical and Electrical Engineering Faculty of EngineeringUniversity Malaysia SarawakKota SamarahanSarawakMalaysia Department of Electrical and Computer Engineering Curtin UniversityKent StreetBentleyPerth 6102WAAustralia Electron Science Research Institute Edith Cowan University270 Joondalup DriveJoondalupWA6027Australia

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%.

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

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