LiFePO4 battery charging strategy design considering temperature rise minimization

The temperature rise of lithium-ion batteries during the charging process is a significant factor that can influence battery capacity degradation and produce potential safety hazards. In this paper, an optimal charging strategy for LiFePO4 batteries is proposed to minimize the charging temperature rise. First, a battery charging temperature rise model is employed to simulate the temperature variation, and a first-order equivalent circuit model is established to identify the model parameters. Then, the genetic algorithm is applied to search the optimal charging current profiles considering different initial state of charge values and different control intervals. Experimental results prove that the proposed charging strategy not only features a lower temperature rise but also shows less charging time compared to the constant current charging method. Published by AIP Publishing.