Review of Electric Vehicle Testing Procedures for Digital Twin Development: A Comprehensive Analysis

Abstract

This article explores the transformative potential of digital twin (DT) technology in the automotive sector, focusing on its applications in enhancing propulsion drive systems. DT technology, a virtual representation of physical objects, has gained momentum due to its real-time monitoring and analysis capabilities. Within the automotive industry, where propulsion systems dictate vehicle performance, DTs offer a game-changing approach. Propulsion drive systems encompass electric motors, transmissions, and related components, significantly impacting efficiency and power delivery. Traditional design and testing methods need help addressing these systems’ intricate interactions. This article aims to investigate how DTs can revolutionize propulsion systems. The study examines various applications of DTs, ranging from predictive maintenance to performance optimization and energy efficiency enhancement. The article underscores the technology’s potential by reviewing case studies and real-world implementations. It also outlines challenges tied to integration and validation. In unveiling the capabilities of DT technology for propulsion systems, this article contributes to a comprehensive understanding of its role in shaping a more data-driven and efficient automotive industry.

A Framework for Communicating and Building a Digital Twin Model of the Electric Car

“…As mentioned in [14], 29 relevant papers were published in 2016, while in 2021 there were already 2997 of them. Similar results apply to DTs in the automotive industry [15].…”

A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids

“…Moreover, the DT is significant in addressing various challenges in the EV, including health monitoring, predictive maintenance, and optimization of energy consumption [64] and charging behavior [65]. Studies highlight the effectiveness of DT models and advanced algorithms [66], ensuring high prediction accuracy [67] and shaping a data-driven automotive industry [68]. Utilizing DTs addresses challenges, like enhancing the management of specific EV components (e.g., air conditioning [69] and battery [70]).…”

“…DT technology is also used in battery systems for monitoring and analyzing to improve propulsion drive systems [68], for predicting usable battery life [75], and for enabling intelligent management and autonomous control of battery packs [72]. Additionally, DT technology enhances vehicle lifespan, performance, and maintenance through diagnostic and prognostic algorithms [64] while also facilitating flexible resource coordination scheduling [65].…”