Year: 2024
Type: article
Abstract: As electric vehicles (EVs) become increasingly central to the future of transportation, battery technology remains at the core of their performance, safety, and economic viability. However, the complexity of battery systems requires advanced management techniques to ensure optimal performance over the lifecycle of an EV. One such approach is the use of digital twins—virtual representations of physical battery systems, which enable real-time monitoring, predictive maintenance, and optimisation. This paper explores the integration of digital twins in EV battery systems, examining their potential to enhance efficiency, longevity, and safety. The study further discusses the challenges of implementing digital twin technology, the technological advancements required, and future research directions in the EV sector.
Author: Arpit Darbari
Institution: SRH University Berlin
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4405114313