Design and Dynamic Modeling of Magnetorheological Elastomer Battery Pack Dampers for Electric Vehicles

Abstract

Electric vehicle battery packs and other components are vulnerable to vibration excitation caused by external variables like road profile because of their unique properties and dynamic reactivity. The application of passive, semi active, and active vibration isolation methods in suspension systems, drive engines, and other vehicle components presents both advantages and disadvantages.
This study examines the optimization of battery pack damper parameters using magnetorheological elastomer (MRBD) material, employing a genetic algorithm (GA) technique with magnetic fields produced by 1A and 2A electric currents integrated into electric vehicle pack batteries. 1A and 2A MRBD battery pack dampers have a lower peak transmissibility amplitude than without dampers (WOMRBD), according to simulation results of the dynamic response with input parameters of vehicle speed variations of 10, 20, and 30 km/h. In particular, there is a significant decrease in the peak MRBD 2A, which is more optimal at 0.086 at a medium frequency of 13.4 Hz. Additionally, the power dissipated by MRBD 1A and 2A while absorbing vibrational energy is sent to the battery pack at efficiencies of 51.4% and 39.3%, respectively, in contrast to the scenario without a damper (WOMRBD), specifically at a velocity of 20 km/h.