Digital Twin for Intelligent and SiC-based Drive Systems
Liu X, Hofmann M, Streit F, März M (2021)
Publication Type: Conference contribution
Publication year: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2021 11th International Electric Drives Production Conference, EDPC 2021 - Proceedings
Event location: Virtual, Erlangen, DEU
ISBN: 9781665418089
DOI: 10.1109/EDPC53547.2021.9684201
Abstract
Reliable and efficient electric motor and inverter solutions are essential for a variety of applications. Validated digital twin, based on a co-simulation of all drive components, can contribute to these development goals at an early stage of development. Especially for modern SiC-based drive systems, these tools help to analyze the impact of fast-switching inverters and their higher switching frequencies. Within this paper, the development, the experimental validation and the use of a digital twin for an automotive traction drive system is described. The digital twin combines a FEM -based electric machine model with a SiC-inverter circuit simulation. The analyzed drive system consists of an interior permanent magnet synchronous machine (IPMSM) with 175 kW and an 800 V SiC-based inverter. It is shown that the described co-simulation tool leads to more accurate efficiency and overall machine behavior predictions.
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Germany (DE)How to cite
APA:
Liu, X., Hofmann, M., Streit, F., & März, M. (2021). Digital Twin for Intelligent and SiC-based Drive Systems. In 2021 11th International Electric Drives Production Conference, EDPC 2021 - Proceedings. Virtual, Erlangen, DEU: Institute of Electrical and Electronics Engineers Inc..
MLA:
Liu, Xinjun, et al. "Digital Twin for Intelligent and SiC-based Drive Systems." Proceedings of the 11th International Electric Drives Production Conference, EDPC 2021, Virtual, Erlangen, DEU Institute of Electrical and Electronics Engineers Inc., 2021.
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