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optimization of a Thermal Management System for Battery Electric Vehicles

To enhance the temperature dependent aspects -efficiency, safety and aging-of battery electric vehicles an innovative thermal management system is developed. The system focuses on distributing, storing and releasing heat to support the warm up process of the battery at low ambient temperatures. Additionally, cooling the power train components at high ambient temperatures is intended. In order to increase the system’s efficiency, a rule-based operational strategy is developed. This strategy is optimized using Particle Swarm optimization with an objective function which is specifically created for that problem. The function evaluates the performance of the system by considering its thermal effect, the costs for the user and the energy demand. The effect of the system and the benefit of an optimized operational strategy are demonstrated by results from simulations of the WLTP with a small battery electric vehicle (Renault Twizy).