Journal
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Volume 57, Issue 2, Pages 1399-1410Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2020.3048095
Keywords
Electric machines; Torque; Power system measurements; Engines; Density measurement; Topology; Rotors; Axial flux machine (AFM); efficiency; energy loss and efficiency; fault tolerance; interior permanent magnet (IPM); noise and vibration (NV); power density; Pugh matrix; switched reluctance machine (SRM); stress analysis
Ask authors/readers for more resources
This study systematically compares three types of electric machines - axial flux machine, interior permanent magnet (IPM) machine, and switched reluctance machine - to find the most suitable candidate for driving engine accessories in a hybrid truck. A Pugh matrix is created to score each machine type based on various criteria, with the best performing machine type validated through a full-scale prototype and testing.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available