Abstract
Lithium iron phosphate (LiFePO4) battery is widely used in electric vehicle power supply. For the estimation of lithium iron phosphate battery model and the remaining power, a new third-order RC circuit model has been designed, and the state of charge (SOC) estimation based on sampling point Kalman joint algorithm is used to estimate the remaining capacity of the proposed battery model. This algorithm not only uses improved time integration method to estimate real-time battery power, but also uses the sampling point Kalman algorithm to correct the SOC estimation error when the error accumulation of improved integration method is too large. The new third-order RC circuit model is better than the second-order RC circuit model in characterizing the battery, and the error value of the improved sampling point SOC estimation algorithm is controlled within 2%.
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