ARTIFICIAL NEURAL NETWORK ENHANCED REAL-TIME SIMULATION OF ELECTRIC TRACTION SYSTEMS INCORPORATING ELECTRO-THERMAL INVERTER MODELS AND FEA

Abstract

This study looks at the integration of artificial neural networks (ANNs), electrothermal inverter models,
coupled inverter models, and Finite Element Analysis (FEA) for real-time simulation of electric traction systems
in electric vehicles (EVs). The study's goal is to increase driving range, charge time, and EV dependability through
improved thermal management and component modeling