Feedforward Control of Battery Cooling System for Hybrid Electric Vehicles Using Battery Power and Vehicle Speed as Predictive Parameters

Abstract

This paper presents an enhanced cooling model for the auxiliary battery cooling system of a hybrid electric vehicle (HEV), integrating feedforward control with battery power and vehicle speed as predictive parameters. Unlike conventional cooling systems that operate based solely on reactive temperature thresholds, this approach anticipates cooling demands, optimizing power consumption and maintaining thermal stability across varying driving conditions. Simulation results highlight improvements in power efficiency and reduced peak temperature levels.