Digital Twin for Intelligent and SiC-based Drive Systems

被引：2

作者：

Liu, Xinjun ^{[1
]}

Hofmann, Maximilian ^{[1
]}

Streit, Fabian ^{[1
]}

Maerz, Martin ^{[2
]}

机构：

[1] Fraunhofer Inst Integrated Syst & Device Technol, Drives & Mechatron, Erlangen, Germany

[2] Fraunhofer Inst Integrated Syst & Device Technol, Erlangen, Germany

来源：

2021 11TH INTERNATIONAL ELECTRIC DRIVES PRODUCTION CONFERENCE (EDPC) | 2021年

关键词：

digital twin; IPMSM; high switching frequency; co-simulation; SiC-inverter; SYNCHRONOUS MOTOR; IRON LOSSES; PWM; MODEL;

D O I：

10.1109/EDPC53547.2021.9684201

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：11 / 18

页数：8

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