Estimation of Irreversible Thermal Resistance Maps Based on Time Delay Control for Accurate High C-rate Temperature Prediction of a Pouch-type Lithium-ion Battery

This study proposes a time delay control (TDC)-based effective irreversible thermal resistance estimation method for surface temperature prediction of lithium-ion batteries under high C-rate operation. Conventional hybrid pulse power characterization-based equivalent circuit models use resistances identified from short pulse tests to calculate irreversible heat generation, but these parameters may not sufficiently describe thermal responses during continuous high-C-rate charge and discharge. The residual between the measured surface temperature response and a first-order lumped thermal model was converted into an effective irreversible thermal resistance in the form of I²R. A resistance map was constructed using 0.4C, 0.6C, and 0.8C charge and discharge data and extrapolated to 1.2C and 1.6C conditions. Experimental results show that the proposed TDC-based resistance map reduces the root-mean-square error and mean absolute error of surface temperature prediction under both 1.2C and 1.6C charge/discharge conditions.