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Design Optimization of a Switched Reluctance Machine with an Improved Segmental Rotor for Electric Vehicle Applications

In this article, a switched reluctance machine (SRM) with six phases and a misaligned segmental rotor is proposed. The segmental rotor has an internal 15-degree misalignment, allowing the SRM structure to be a one-layer 2D structure with a short flux path structure. The proposed SRM produces a relatively low torque ripple by exciting two phases simultaneously. Additionally, an optimization method is applied, allowing for the maximum torque position of one phase to be aligned with the zero-torque position of the adjacent phase. The finite element method (FEM) is used to analyze and design the proposed SRM and to simulate the proposed liquid cooling system. The static torque waveforms are analyzed, and the dynamic torque waveforms are simulated with a drive using SiC MOSFETs. Finally, a prototype is manufactured, and the experiment is performed to validate the design and simulation results.
- Vrije Universiteit Brussel Belgium
- Flanders Make (Belgium) Belgium
- Flanders Make (Belgium) Belgium
Technology, T, finite element method, torque ripple, switched reluctance machine, Finite Element Method, switched reluctance machine; segmental rotor; torque ripple; finite element method; multi-stack; electric vehicles, multi-stack, Electric Vehicles, segmental rotor, electric vehicles
Technology, T, finite element method, torque ripple, switched reluctance machine, Finite Element Method, switched reluctance machine; segmental rotor; torque ripple; finite element method; multi-stack; electric vehicles, multi-stack, Electric Vehicles, segmental rotor, electric vehicles
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
