Digital twin for propulsion drive of autonomous electric vehicle

Abstract

Autonomous driving is no longer just an idea of technology vision, instead a real technical trend all over the world. The continuing development to a further level of autonomy requires more from energy optimization. The optimization of electric propulsion drive systems of self-driving electric vehicles by using autonomous and monitoring sensors are not often discussed. The goal of the paper is to specify tasks required for a specialized unsupervised prognosis and control platform for energy system performance estimation. Final goal requires the development of several test platforms and digital twins. A digital twin is composed of three components - the physical entities in the real world, their virtual models, and the connected data/view that ties the two worlds together.