An EV-Traction Inverter Data-Driven Modelling for Digital Twin Development

Ibrahim, Mahmoud; Raja, Hadi Ashraf; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants

doi:10.1109/epe58302.2023.10149230

Cited by 1 publication

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the primary challenges in implementing DTs for propulsion systems is the seamless integration of data from various sources [96]. Propulsion systems are comprised of many components, each generating a data stream.…”

Section: Exploration Of Challenges In Implementing Dts For Propulsion...mentioning

confidence: 99%

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

Rjabtšikov,

Rassõlkin,

Kudelina

et al. 2023

Energies

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Exploration Of Challenges In Implementing Dts For Propulsion...mentioning

confidence: 99%