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Article

Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System

1
Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia
2
School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth 6102, Australia
*
Author to whom correspondence should be addressed.
Energies 2020, 13(13), 3434; https://doi.org/10.3390/en13133434
Received: 30 May 2020 / Revised: 24 June 2020 / Accepted: 1 July 2020 / Published: 3 July 2020
(This article belongs to the Special Issue Control of Wind Turbines)
Charging a group of series-connected batteries of a PV-battery hybrid system exhibits an imbalance issue. Such imbalance has severe consequences on the battery activation function and the maintenance cost of the entire system. Therefore, this paper proposes an active battery balancing technique for a PV-battery integrated system to improve its performance and lifespan. Battery state of charge (SOC) estimation based on the backpropagation neural network (BPNN) technique is utilized to check the charge condition of the storage system. The developed battery management system (BMS) receives the SOC estimation of the individual batteries and issues control signal to the DC/DC Buck-boost converter to balance the charge status of the connected group of batteries. Simulation and experimental results using MATLAB-ATMega2560 interfacing system reveal the effectiveness of the proposed approach. View Full-Text
Keywords: active battery balancing; backpropagation neural network; DC/DC Buck-boost converter; PV-battery integrated system; state of charge estimation active battery balancing; backpropagation neural network; DC/DC Buck-boost converter; PV-battery integrated system; state of charge estimation
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MDPI and ACS Style

Ohirul Qays, M.; Buswig, Y.; Hossain, M.L.; Abu-Siada, A. Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System. Energies 2020, 13, 3434. https://doi.org/10.3390/en13133434

AMA Style

Ohirul Qays M, Buswig Y, Hossain ML, Abu-Siada A. Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System. Energies. 2020; 13(13):3434. https://doi.org/10.3390/en13133434

Chicago/Turabian Style

Ohirul Qays, Md, Yonis Buswig, Md L. Hossain, and Ahmed Abu-Siada. 2020. "Active Charge Balancing Strategy Using the State of Charge Estimation Technique for a PV-Battery Hybrid System" Energies 13, no. 13: 3434. https://doi.org/10.3390/en13133434

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