This paper proposes a new design strategy for Synchronous Reluctance machines, with cooperative design in the two environments SyR-e and Motor-CAD. The paper proposes to use the open-source SyR-e for initial, equation based design of the machine. Then, the design is validated and refined in Motor-CAD, in multiple physical domains. This synergy complements both design environments and turns into a comprehensive design package, not yet available in the literature, assembling accessible design equations, magnetic and mechanical FEA and drive operating profiles evaluation to the trademark thermal analysis of Motor-CAD. The cooperative design strategy is described in the paper with reference to the case of a Pure Synchronous Reluctance motor prototype for vehicular traction

Efficient Multiphysics Design Workflow of Synchronous Reluctance Motors / Ragazzo, P.; Ferrari, S.; Riviere, N.; Popescu, M.; Pellegrino, G.. - ELETTRONICO. - (2020), pp. 2507-2513. (Intervento presentato al convegno 2020 International Conference on Electrical Machines (ICEM) tenutosi a Gothenburg, Sweden nel 23-26 Aug. 2020) [10.1109/ICEM49940.2020.9270670].

Efficient Multiphysics Design Workflow of Synchronous Reluctance Motors

Ragazzo, P.;Ferrari, S.;Pellegrino, G.
2020

Abstract

This paper proposes a new design strategy for Synchronous Reluctance machines, with cooperative design in the two environments SyR-e and Motor-CAD. The paper proposes to use the open-source SyR-e for initial, equation based design of the machine. Then, the design is validated and refined in Motor-CAD, in multiple physical domains. This synergy complements both design environments and turns into a comprehensive design package, not yet available in the literature, assembling accessible design equations, magnetic and mechanical FEA and drive operating profiles evaluation to the trademark thermal analysis of Motor-CAD. The cooperative design strategy is described in the paper with reference to the case of a Pure Synchronous Reluctance motor prototype for vehicular traction
2020
978-1-7281-9945-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2857495