Digital Twin in Electric Vehicles: Enabling Technologies and State of the Art
Imron Rosyadi (a*)(b), Yul Yunazwin Nazaruddin (c)(d)

a) Doctoral Program of Engineering Physics, Faculty of Industrial Technology, Institut Teknologi Bandung, Bandung, Indonesia
b) Electrical Engineering Department, Universitas Jenderal Soedirman, Purwokerto, Indonesia
*imron.rosyadi[at]unsoed.ac.id
c) Instrumentation and Control Research Group, Department of Engineering Physics, Institut Teknologi Bandung, Bandung, Indonesia
d) National Center for Sustainable Transporation Technology, CRCS Building, 2nd Floor, Institut Teknologi Bandung, Bandung, Indonesia

Abstract

Electric vehicle adoption has been overgrown in recent years. The market growth of electric vehicles increases competition. The automotive industry must produce electric vehicles faster and provide better maintenance services to increase competitiveness. Effective design and consumer services are critical to the success and long-term sustainability of the automotive industry. The development of digital twin technologies potentially provides automotive industries with effective design processes and better maintenance services for consumers. A digital twin is a synchronous representation of a physical entity. The twin is continually updated with the recent data of its physical system.

This paper aims to analyze the enabling technologies and state of the art of digital twin in electric vehicles. A review of the digital twin^s recent research and implementation is presented in the paper. The review includes a systematic classification of the research and implementation into the specific aspect of the electric vehicle, such as the vehicle sub-systems and vehicle health management.

Keywords: digital twin- electric vehicles- health management

Topic: Electric System, Drives, Motors, Machinery