Digital Twin for Intelligent and SiC-based Drive Systems

Liu, Xinjun; Hofmann, M; Streit, Fabian; Maerz, Martin

doi:10.1109/edpc53547.2021.9684201

Cited by 6 publications

(1 citation statement)

References 27 publications

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“…Shi et al [ 68 ] proposed a DT method for IGBT parameter identification of a three-phase DC/AC inverter for circuit condition motoring based on a particle swarm optimization algorithm using the MATLAB/ Simulink platform. Liu et al [ 69 ] developed and experimentally validated a DT of an automotive traction drive system. The proposed DT combined an FEM-based PMSM model with a SiC inverter circuit simulation using the MATLAB /Simulink platform.…”

Section: Dt Platforms For Ev Applicationsmentioning

confidence: 99%

Overview of Digital Twin Platforms for EV Applications

Ibrahim

Rjabtšikov

Zequera

2023

Sensors

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Digital twin (DT) technology has been used in a wide range of applications, including electric vehicles. The DT platform provides a virtual representation or advanced simulation of a physical object in real-time. The implementation of DT on various aspects of EVs has recently transpired in different research studies. Generally, DT can emulate the actual vehicle on the road to predict/optimize its performance and improve vehicle safety. Additionally, DT can be used for the optimization of manufacturing processes, real-time condition monitoring (at all levels and in all powertrain components), energy management optimization, repurposing of the components, and even recycling processes. This paper presents an overview of different DT platforms that can be used in EV applications. A deductive comparison between model-based and data-driven DT was performed. EV main systems have been discussed regarding the usable DT platform. DT platforms used in the EV industry were addressed. Finally, the review showed the superiority of data-driven DTs over model-based DTs due to their ability to handle systems with high complexity.

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Section: Dt Platforms For Ev Applicationsmentioning

confidence: 99%