System power loss optimization of electric vehicle driven by front and rear induction motors
Power loss optimization aiming at the high-efficiency drive of front-and-rear-induction-motor-drive electric vehicle (FRIMDEV) as an effective way to improve energy efficiency and extend driving range is of high importance. Different from the traditional look-up table method of motor efficiency, power loss optimization of the dual-motor system based on the loss mechanism of induction motor (IM) is proposed. First of all, based on the power loss characteristic of FRIMDEV from battery to wheels, the torque distribution optimization model aiming at the minimum system power loss is put forward. Secondly, referring to d-q axis equivalent model of IM, the power loss functions of the dual-IM system are modeled. Then, the optimal torque distribution coefficient (βₒ) between the two IMs is derived, and the theoretical switching condition (Tsw) between the single- and dual-motor-drive mode (SMDM and DMDM) is confirmed. Finally, a dual-motor test platform is developed. The derived torque distribution strategy is verified. The influence of motor temperature on βₒ and Tsw are tested, and the correction models based on temperature difference are proposed. Based on the system power loss analysis, it can be confirmed that, under low load conditions, the SMDM takes priority over the DMDM, and the controller of the idling motor should be shut down to avoid the additional excitation loss. While under middle to high load conditions, even torque distribution (βₒ = 0.5) is preferred if the temperature difference between the two IMs is small; otherwise, βₒ should be corrected based on dual-motor temperatures. The theoretical Tsw derived without dealing with temperature difference is a function only of motor speed, while temperature difference correction of it should be conducted in actual operations based on motor resistance changing with temperature.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/12299138
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Supplemental Notes:
- Copyright © 2018, The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
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Authors:
- Sun, Binbin
- Gao, Song
- Ma, Chao
- Li, Junwei
- Publication Date: 2018-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 121-134
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Serial:
- International Journal of Automotive Technology
- Volume: 19
- Issue Number: 1
- Publisher: Korean Society of Automotive Engineers
- ISSN: 1229-9138
- EISSN: 1976-3832
- Serial URL: http://link.springer.com/journal/12239
Subject/Index Terms
- TRT Terms: Computer models; Electric vehicles; Induction motors; Optimization; Power loss; Temperature; Torque
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01648502
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 16 2017 3:59PM