Abstract
A new modeling and optimization approach is proposed for co-optimization of both switched reluctance machine (SRM) design and control across the entire speed range. A unique method uses static finite element analysis (FEA) results to determine a set of current profiles for discrete speeds, torques, and torque ripple levels, and the associated voltage profiles are computed using steady state equations without time-domain simulations. Particle swarm optimization is implemented to determine optimal current profiles with the consideration of voltage limits, torque ripple, and other system parameters. Further, a machine design optimization method is proposed that leverages outputs from current profile optimizers and determines quality metrics for each design based on the torque requirements and torque ripple limits across the operation region of the targeted application.
Original language | English |
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Title of host publication | 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9781728175836 |
DOIs | |
State | Published - Jun 21 2021 |
Event | 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 - Chicago, United States Duration: Jun 21 2021 → Jun 25 2021 |
Publication series
Name | 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 |
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Conference
Conference | 2021 IEEE Transportation Electrification Conference and Expo, ITEC 2021 |
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Country/Territory | United States |
City | Chicago |
Period | 06/21/21 → 06/25/21 |
Funding
This manuscript has been authored by Oak Ridge National Laboratory, operated by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).