BATTERY MODELING FOR HYBRID ELECTRIC VEHICLE (HEV)

Abstract

The study is based on battery modeling, which plays a crucial role in simulating hybrid electric vehicles (HEVs). The power distribution, regenerative braking, fuel efficiency, and battery life are all greatly affected by the accuracy of these models since things like battery voltage, current limits, state of charge (SoC), and temperature sensitivity contribute immensely to these factors. At the vehicle level, first-order and second-order Thevenin equivalent-circuit models (ECMs) are well suited for emulating battery performance. They are also easy to understand, computable at low cost, and perform adequately during realistic driving conditions. We developed a battery modeling framework in MATLAB/Simulink that used the NC-R18650PF Lithium-ion cylindrical cell data from PANASONIC and the WLTC Class 1 drive-cycle dataset targeting HEV applications in this study. Parameters: The cell's electrical and thermal parameters are revealed by the study. The manufacturer specifications lead to a nominal voltage of 3.6 V and typical capacity of 2.9 Ah, 4.2 V CC-CV charging, discharge cutoff at 2.5 V clean-up (most cells are rated for thermal aging too) + ambient limits dependent on temperature, the additional Panasonic introduction sheet puts DC internal resistance as about 43 mΩ and AC resistance as about 21 mΩ with a reference for continuous discharge at the maximum level of excellence being up to 10 A. The derived framework is suitable for developing a physics-informed simulation-efficient HEV battery model, which is subsequently validated against the constant-current discharge curve, pulse loads, and WLTC-driven duty cycles.