Time-Effective Component Selection Automation in Electric Vehicles using Openly-Available Data

Abstract

Transportation electrification is at the core of the possible solutions to many challenges the world is currently facing. Efficient vehicle electrification has the potential to si-multaneously reduce greenhouse gasses emissions and decrease range anxiety. This paper proposes a methodology for component selection in each part of electric vehicle (EV) architecture, demon-strating the method with Power Electronics switches selection. A Design Automation (DA) simulation platform is introduced to facilitate EV model-based design. The approach includes considerations on the mechanical and electrical domain of the vehicle, accounting for the effect of the component in the whole system, and yielding the solution that optimizes range. Using the proposed method, the Pareto Front of a large pool of candidates is found, yielding a range-efficiency variation of approximately 16% within it.