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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1557
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| Title: | Study of motoring operation of in-wheel switched reluctance motor drives for electric vehicles |
| Authors: | Xue, Xiangdang Lin, Jiongkang Zhang, Zhu Ng, T. W. Luk, K. F. Cheng, K. W. Eric Cheung, C. Norbert |
| Subjects: | Electric vehicles In-wheel Motoring operation Switched reluctance motor drives |
| Issue Date: | 2009 |
| Publisher: | Power Electronics Research Centre, The Hong Kong Polytechnic University |
| Citation: | PESA 2009 : International Conference on Power Electronic Systems and Applications : 20th-22nd May 2009, p. [1-6]. |
| Abstract: | Based on the requirements of electric vehicles on electric motor drives, this paper presents three criteria to evaluate motoring operation of in-wheel switched reluctance motor drives for electric vehicles. They are the average torque, the average torque per rms current, and torque
smoothness factor. They indicate the motoring torque, copper loss and torque ripple, respectively. The model of motoring operation under the current hysteresis control is developed to investigate the effects of the turn-on angle, the turn-off angle, and the current reference on these criteria. The simulated and measured current waveforms verify the proposed model. The simulated results show that the turn-on
angle and the turn-off angles have considerable effects on motoring operation of switched reluctance drives. The optimal turn-on angle and the optimal turn-off angle can be optimized in order to maximum the average torque, the average torque per rms current, or the torque smoothness factor. In addition, the larger current reference results in the larger average torque, average torque per rms current and torque smoothness factor. Thus, this study is helpful for developing new control method to implement the best motoring operation of in-wheel switched reluctance motor drives in electric vehicles. |
| Rights: | Copyright © The Hong Kong Polytechnic University 2009. |
| Type: | Conference Paper |
| URI: | http://hdl.handle.net/10397/1557 |
| ISBN: | 978-988-17471-3-6 |
| Appears in Collections: | EE Conference Papers & Presentations
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