Active cell balancing control strategy for parallelly connected LiFePO4 batteries
CSEE Journal of Power and Energy Systems
Chinese Society of Electrical Engineering
Electron Science Research Institute / School of Engineering
Ministry of Higher Education, Malaysia
© 2015 CSEE. While several recent studies have focused on eliminating 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 cells. As such, this paper aims at presenting a new balancing approach for parallel LiFePO4 battery cells. In 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 converter. Simulation 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%.