智能和基于sic的驱动系统的数字孪生

Xinjun Liu, M. Hofmann, F. Streit, M. Maerz
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引用次数: 6

摘要

可靠、高效的电动机和逆变器解决方案对于各种应用至关重要。基于所有驱动组件的联合仿真,经过验证的数字孪生可以在开发的早期阶段为这些开发目标做出贡献。特别是对于现代基于sic的驱动系统,这些工具有助于分析快速开关逆变器及其更高开关频率的影响。本文介绍了数字孪生在汽车牵引传动系统中的发展、实验验证和应用。数字孪生结合了基于FEM的电机模型和sic逆变电路仿真。所分析的驱动系统由一个175 kW的内部永磁同步电机(IPMSM)和一个800 V的硅基逆变器组成。结果表明,所描述的联合仿真工具可以更准确地预测效率和整体机器行为。
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Digital Twin for Intelligent and SiC-based Drive Systems
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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