Abstract
This paper presents a new minimum conduction loss (MCL) torque control algorithm for current source inverter- (CSI-) fed permanent-magnet synchronous machine drives that improves the overall machine drive efficiency by minimizing the combined conduction losses in the inverter and machine at each operating point. First, analytical models of conduction losses in CSI-fed motor drives are presented, and a closed-form expression for optimal d-axis stator current to achieve MCL operation is derived. An expression for the rms current in both wye- and delta-connected CSI output capacitors is derived. A detailed simulation model that emulates the operation of a 100 kW SiC CSI-fed integrated machine drive (IMD) has been developed based on experimental results and finite element analysis. This simulation model is used to evaluate the proposed MCL control algorithm applied to a CSI-fed IMD system for a battery-electric vehicle traction drive, and the predicted total drive system loss with MCL control is compared to predicted losses with maximum-torque-per-ampere (MTPA) and minimum dc-link current (MDCC) control. Results show that MCL control can achieve loss reductions compared to the other two control algorithms over a wide range of operating conditions, with significant loss reductions >20% in the medium-speed regime.
Original language | English |
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Title of host publication | 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 720-726 |
Number of pages | 7 |
ISBN (Electronic) | 9781665405607 |
DOIs | |
State | Published - 2022 |
Event | 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022 - Anaheim, United States Duration: Jun 15 2022 → Jun 17 2022 |
Publication series
Name | 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022 |
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Conference
Conference | 2022 IEEE Transportation Electrification Conference and Expo, ITEC 2022 |
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Country/Territory | United States |
City | Anaheim |
Period | 06/15/22 → 06/17/22 |
Funding
This material is based on work supported by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Vehicle Technologies Office (VTO), Award Number DE-EE0008704. The authors also gratefully acknowledge the support of the Wisconsin Electric Machines and Power Electronics Consortium (WEMPEC).