Next-generation battery solutions for EVs: The power of digital twins
M. Eng, Mobility and Automotive Management, SRH University of Applied Sciences, Berlin, Germany – 10625.
Review Article
Global Journal of Engineering and Technology Advances, 2024, 21(03), 001–008.
Article DOI: 10.30574/gjeta.2024.21.3.0219
Publication history:
Received on 14 October 2024; revised on 26 November 2024; accepted on 29 November 2024
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.
Keywords:
Digital Twins; Next-Generation Batteries; Electric Vehicles (EVs); Battery Management Systems; Predictive Maintenance; Energy Efficiency
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0