http://hdl.handle.net/10453/173 2013-05-24T02:27:28Z 2013-05-24T02:27:28Z Xu Wei Zhu Jianguo Guo Youguang Wang Shuhong Wang Yi Shi Zhanghai http://hdl.handle.net/10453/10701 2012-12-11T03:55:26Z 2009-01-01T00:00:00Z

Survey on Electrical Machines in Electrical Vehicles Xu Wei; Zhu Jianguo; Guo Youguang; Wang Shuhong; Wang Yi; Shi Zhanghai Jin, J. With great concerns on clean environment, there is a fast growing interest in electrical vehicles (EVs). As one of the key technologies, the motor drive has been developed quickly. In this paper, the characteristics of four traditional machines are first reviewed and evaluated, which include the direct current machine (DCM), induction machine (IM), switched reluctance machine (SRM) and permanent magnet brushless machine (PMBM). Then, the topologies and performances of four special machines are discussed, including the transverse flux machine (TFM), axial flux machine (AFM), doubly salient permanent magnet machine (DMPM) and dual mechanical port electrical machine (DMPEM). Finally, future research trends of electrical machines in EVs are described.

2009-01-01T00:00:00Z Li Yongjian Yang Qingxin Liu Hongxun Zhu Jianguo Guo Youguang Xu Wei http://hdl.handle.net/10453/10700 2012-12-19T00:23:46Z 2009-01-01T00:00:00Z

Study on a Wind-Solar Complementary Power Inverter Li Yongjian; Yang Qingxin; Liu Hongxun; Zhu Jianguo; Guo Youguang; Xu Wei Jin, J. This paper studies a wind-solar complementary singlephase sine wave power inverter, including the hardware structure, operating principle, and method to the charging and discharging design. A dual-level three-state intelligent float charging based on PIC single chip control is brought forward for combining the special characteristics of wind-solar energy system. It helps the automatic transfer between charging and discharging and active protection of the battery. Unattended wind-solar complementary power system is achieved. With the help of reasonable calculation and simulation analysis, the final parameters are determined. A prototype of 500W/220V/50Hz single-phase sine wave power inverter has been fabricated. Through the model experiment the output voltage waveforms are found in conformity at both no-load and full-load, and the THD is very low. Therefore, the workability and validity are proved.

2009-01-01T00:00:00Z Xu Wei Zhu Jianguo Guo Youguang Li Yongjian Wang Yi Wang Shuhong http://hdl.handle.net/10453/10699 2012-12-11T03:30:32Z 2009-01-01T00:00:00Z

Performance Analysis of Electrical Machine Drives for Plug-in Hybrid Vehicles Xu Wei; Zhu Jianguo; Guo Youguang; Li Yongjian; Wang Yi; Wang Shuhong Jin, J. Much attention has been paid to electric vehicles recently due to environmental concerns. The plug-in hybrid electric vehicle (PHEV) consisting of both electricity storage and gasoline tank is welcome to electric vehicle market. In the PHEV system, the electric machine drive is one of the key issues. The ideal tendency is to use the drive machine over the entire torque/speed range with high starting torque and wide constant power range. The proposed PHEV drive system in this paper has only one electric machine which functions as either a motor or generator at a time and a supercapacitor bank for fast charging and discharging during the regenerative braking and fast acceleration. The drive machine must be designed for frequent start or stop, high acceleration or deceleration, high torque or power density, and good transient performance at all speed range. This paper analyzes the new PHEV resistance power and the driving traits. The drive system is modeled and analyzed by the powertrain system analysis toolkit (PSAT) encoded in Matlab/Simulink toolbox. It compares the different driving performances between the new PHEV and one traditional vehicle in urban dynamometer driving schedule (UDDS).

2009-01-01T00:00:00Z Shao Zhongkai Zhan Yuedong Guo Youguang http://hdl.handle.net/10453/10698 2013-01-15T01:31:13Z 2009-01-01T00:00:00Z

Fuzzy Neural Network-based Model Reference Adaptive Inverse Control for Induction Machines Shao Zhongkai; Zhan Yuedong; Guo Youguang Jin, J. In this paper, because the induction machines are described as the plants of highly nonlinear and parameters timevarying, in order to obtain a very well control performances that a conventional model reference adaptive inverse control (MRAIC) can not be gotten, a fuzzy neural network-based model reference adaptive inverse control strategy for induction motors is presented based on the rotor field oriented motion model of induction machines. The fuzzy neural network control (FNNC) is incorporated into the model reference adaptive control (MRAC), a fuzzy basis function network controller (FBNC) and a fuzzy neural network identifier (FNNI) for asynchronous motors adjustable speed system are designed. The proposed controller for asynchronous machines resolves the shortage of MRAC, and employs the advantages of FNNC and MRAC. Simulation results show that the proposed control strategy is of the feasibility, correctness and effectiveness.

2009-01-01T00:00:00Z