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253 results on '"Doppelbauer, Martin"'

36. Tradeoff Study of Torque and Losses in Permanent Magnet Vernier and Synchronous Machines for In-Wheel Traction Applications

Author

Yu, Yanlei, Zhang, Xi, Chai, Feng, Pei, Yulong, Chen, Lei, and Doppelbauer, Martin

Abstract

This article provides a tradeoff study of torque and rotor losses, including the permanent magnet (PM) loss and core loss, in permanent magnet vernier machines (PMVMs), for in-wheel traction. Firstly, the analytical models of PM loss, core loss, and torque are established, and the core loss is calculated by three methods. Besides, the influencing factors on toque and losses are extracted. Secondly, the influence of stator and rotor topologies on torque and losses is studied, and the contribution of flux density harmonic on PM loss, core loss, and torque in various topologies and slot-pole combinations are calculated and compared, where both sub-harmonics and slot harmonics are mostly responsible for core loss and PM loss. Next, the rotor flux barrier in d-axis path is introduced. The influence of flux barrier dimensions on air-gap flux density, core loss, PM loss, and torque is carried out, and it shows that the modulated flux density is reduced with flux barrier, which helps to reduce PM loss. Moreover, the decay rates of losses and torque under the typical conditions are extracted. The PM loss has the dramatic decrease compared with the other ones, but the torque also decreases slightly, which can validate the applicability and correctness of the rotor flux barrier. Finally, a PMVM and a benchmark PMSM are manufactured and tested to validate the theoretical analysis and finite-element analysis (FEA). This article aims to provide the tradeoff design between torque and losses, and introduce a flux barrier solution to alleviate the design conflicts in PMVM for in-wheel traction applications.

Published
2024
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39. Fault tolerant control of a three‐phase PMSM by limiting the heat of an inter‐turn fault

Author

Foitzik, Simon and Doppelbauer, Martin

Subjects
TK4001-4102, machine learning, inter‐turn fault, Applications of electric power, Hardware_PERFORMANCEANDRELIABILITY, ddc:620, fault tolerant control, permanent magnet synchronous machines, Engineering & allied operations
Abstract

Inter‐turn faults are most commonly the initial stator winding fault in power trains with Voltage Source Inverters. Without counteractions, these faults can propagate and cause catastrophic failures in safety critical applications like all‐electric aircraft. The propagation of an inter‐turn fault can be reduced, by limiting the local temperature at the fault. In this article, a fault tolerant control scheme is designed and validated, which reduces the heat of an inter‐turn fault by a controlled adaption of the operating point. The control strategy utilizes the hyperbolas of constant torque and the controller design is based on a linear time‐invariant system description. A machine learning regression is used for the online heat estimation and a 3D lumped‐parameter model to evaluate the thermal effectiveness. To test the control scheme, an inter‐turn fault is actively switched, which generates the local heat equal to 13% of the overall stator copper losses. The control scheme adopts the operating point within 30 electric periods, which reduces the generated heat of the inter‐turn fault by 70%. This causes a temperature reduction at the fault locally from 367°C to 175°C, which extends the approximated insulation life from 30 s to 5000 h.

Published
2022

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