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Energy-Saving Control of Induction Motor for Electric Vehicle Based on Online Parameter Estimation | |
Alternative Title | 20200908225535 |
Shengwen, Fan1,2; Shuya, Dai1,2; Ruizhi, Li3; Xinsen, Zhang1,2 | |
Source Publication | Journal of Physics: Conference Series |
2020 | |
Volume | 1449 |
Issue | 1 |
Pages | 012130 |
DOI | 10.1088/1742-6596/1449/1/012130 |
Language | 英语 |
ISSN | 17426588 |
Abstract | In order to improve the problem of insufficient endurance mileages of pure electric vehicles, an energy-saving control strategy of induction motor based on the online parameter estimation is proposed. Considering the model of considering the iron loss of the stator of the induction motor, the loss minimization model is used to control the energy of the motor to reduce the steady-state loss of the motor. At the same time, an observer with the model reference adaptive system (MRAS) is designed to online estimated the rotor time constant and stator resistance of the motor, and reduce the influence of parameter variation on the loss minimization control, which makes the loss model more accurate and the energy-saving effect is more ideal. Finally, the control strategy is verified by simulation. The simulation results show that the energy-saving effect of this algorithm is obvious when the motor runs at a high speed under a light load. © Published under licence by IOP Publishing Ltd. |
Keyword | Control strategies Energy-saving control Energy-saving effect Model reference adaptive system On-line parameter estimations Pure electric vehicles Rotor time constant Stator resistance |
Conference Name | 2019 2nd International Symposium on Power Electronics and Control Engineering, ISPECE 2019 |
Conference Date | November 22, 2019 - November 24, 2019 |
Conference Place | Tianjin, China |
Indexed By | EI |
Citation statistics | |
Document Type | 会议论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/7746 |
Collection | 中国科学院国家空间科学中心 |
Affiliation | 1.School of Electrical and Control Engineering, North China University of Technology, Beijing; 100144, China; 2.Collaborative Innovation Center of Key Power Energy-Saving Technologies, Beijing; 100144, China; 3.National Space Science Center, CAS, Beijing; 100190, China |
Recommended Citation GB/T 7714 | Shengwen, Fan,Shuya, Dai,Ruizhi, Li,et al. Energy-Saving Control of Induction Motor for Electric Vehicle Based on Online Parameter Estimation[C],2020:012130. |
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