Active cell balancing control strategy for parallel connected LiFePO4 batteries

Buswig, Yonis.M.Yonis and Md Ohirul, Qays and Md Liton, Hossain and Md Momtazur, Rahman and Ahmed, Abu-Siada (2020) Active cell balancing control strategy for parallel connected LiFePO4 batteries. CSEE Journal of Power and Energy Systems, 1 (1). pp. 1-8. ISSN 2096-0042

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Abstract

While several recent studies have focused on eliminating the imbalance of energy stored in series-connected battery cells, not much attention has been given to balance the energy stored in parallel-connected battery cells. As such, this paper aims at presenting a new balancing approach for parallel LiFePO 4 battery cells. In this regards, 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 operation through DC/DC Buck-Boost converter. Simulation results reveal 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%.

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