Wang Ye-Qin
Faculty of Electronic and Electrical Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu, 223003, China
Yang Yan
Faculty of Electronic and Electrical Engineering, Huaiyin Institute of Technology, Huaian, Jiangsu, 223003, China
ABSTRACT
In order to improve the operation efficiency of drive system for electric city Bus, a hybrid method for motor efficiency optimization control is proposed, the loss model is used to determine the optimal flux search range and the influence of parameters variation on optimization control precision is reduced through identification of motors parameters on line. Motor speed, torque , mutual inductance and rotor resistance were taken as the input of generalized regression neural network,and the optimal flux can be searched by the generalized regression neural network; Contrast experiment between the hybrid method and the conventional vector control is carried out under the given speed and torque, the simulation results show that efficiency increase 23.77% in light load and low speed areas (1003 r/min/200 N.m). Finally eficiency of real car operating mode is test in 100 kW test platform of power train, the efficiency of drive motor increase by an average of 24.99% in hybrid control method. This approach provides an effective way for the improvement of energy utilization in electric city bus.
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How to cite this article
Wang Ye-Qin and Yang Yan, 2013. Efficiency Optimization Control of Driving Motor for Electric City Bus Based
on GRNN. Information Technology Journal, 12: 4720-4724.
DOI: 10.3923/itj.2013.4720.4724
URL: https://scialert.net/abstract/?doi=itj.2013.4720.4724
DOI: 10.3923/itj.2013.4720.4724
URL: https://scialert.net/abstract/?doi=itj.2013.4720.4724
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