Fig. 4: Hybrid model performance.
From: Accelerating the transition to cobalt-free batteries: a hybrid model for LiFePO4/graphite chemistry
Comparison between experimental data and simulation results for current profiles #4 (a) and #7 (b), where the hybrid model adopts the RF machine-learning compensation. As shown in both the zoomed portions, the hybrid model reduces the discrepancy between simulated and experimental voltage profiles. In a, the contribution of the machine-learning model (Vh) to the overall voltage profile (V) is on average −32 mV. In (b), a −32 mV average contribution is seen only inside the SOC range [10, 90]% and, for SOC higher than 90%, the pseudo-hysteresis increases to 43 mV. For both a, b, the bottom left plots show the good agreement of the physics-based model SOC (Sim.) with the SOC from Coulomb counting.
