Comparison of Electric Machine Types for Electrically Driven Engine Accessories Using Multiphysics Simulation Tools
| Autor: | Anik Chowdhury, Salman Harasis, Jeffrey M. Geither, David Colavincenzo, Abdul Wahab Bandarkar, Lavanya Vadamodala, Omer Gundogmus, Fernando Venegas, Shuvajit Das, Tausif Husain, Yilmaz Sozer, Sifat M. Chowdhury, Ehsanul Haque |
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| Rok vydání: | 2021 |
| Předmět: |
010302 applied physics
Electric machine business.product_category Computer science business.industry Rotor (electric) Multiphysics 020208 electrical & electronic engineering Automotive industry Topology (electrical circuits) 02 engineering and technology 01 natural sciences Industrial and Manufacturing Engineering Automotive engineering Switched reluctance motor Design for manufacturability law.invention Control and Systems Engineering law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Torque Electrical and Electronic Engineering business |
| Zdroj: | IEEE Transactions on Industry Applications. 57:1399-1410 |
| ISSN: | 1939-9367 0093-9994 |
| DOI: | 10.1109/tia.2020.3048095 |
| Popis: | With growing interest in electrification in automotive industries, the selection of suitable electric machine types based on application requirements is most important. In this article, three electric machine types, axial flux machine, interior permanent magnet (IPM) machine, and switched reluctance machine, are compared systematically to find the best candidate to drive engine accessories in a hybrid truck. These machine types are designed and optimized to meet the application-oriented design requirements and constraints. An extensive Pugh matrix is created where each machine type is scored based on efficiency range, cost, volumetric power density, gravimetric power density, acoustic noise and stress on the rotor, fault tolerance, heat rejection, and manufacturability. Each Pugh matrix component is assigned to a priority-based weighting, based on the application demand, to determine an accumulated score for each machine topology. A full-scale prototype of the best performing machine type is built and tested. Experimental results validate the multiphysics conclusions drawn in the work. |
| Databáze: | OpenAIRE |
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