Study on direct torque control of permanent magnet synchronous motor in electric vehicle drive

Xu, Jian; Ouyang, Minggao; Tang, Renyuan

doi:10.1109/amc.2006.1631757

Cited by 10 publications

(6 citation statements)

References 8 publications

(7 reference statements)

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“…The motor controller losses consists of the switching loss generates while switches are turned on and off, and the conduction loss is generated by saturation voltage of a switching device [5] [6]. Figure 1 shows a waveform of the current and voltage in a switching device while the switch is turned on and off.…”

Section: Loss Analysis Of the Pwm Controllermentioning

confidence: 99%

The effective improvement of the PMSM system with the carrier frequency modulation

Wang

Ye²,

Dong

et al. 2011

2011 4th International Conference on Power Electronics Systems and Applications

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The efficiency of the motor driving system in the electric vehicle affects the utilization factor of the power source and the driving range of the EV. The loss of the PMSM drive system is tested with the low speed. The modulation of carrier frequency in PMSM was discussed in this paper. According to the working situation of the EV, the carrier frequency would change to improve the effective of the driving system. The result of the simulation and the experiment show that the effective of the PMSM can be improve about 3.5%.

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Section: Loss Analysis Of the Pwm Controllermentioning

confidence: 99%

The effective improvement of the PMSM system with the carrier frequency modulation

Wang

Ye²,

Dong

et al. 2011

2011 4th International Conference on Power Electronics Systems and Applications

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show abstract

“…[5] provided a search method based on genetic algorithm, but the efficiency-optimized speed of this method will slow down when a larger quantity initial species was chosen. A fuzzy logic control method based on torque compensation and the PM and iron loss was presented in [6], but fuzzy logic rules have SM mathematic model considering the effects of copper loss been influenced by anthropogenic factors, and lack of practicality. Minh and Yoichi applied the golden section technique to optimize the efficiency of induction motor firstly [7], thus shortening the optimization time greatly because of its simplicity.…”

Section: Introductionmentioning

confidence: 99%

Efficient-Optimization Strategy Based on Back Propagation for Vector Controlled Claw Pole Motor Drives

Ding

2011

2011 Asia-Pacific Power and Energy Engineering Conference

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An efficiency optimization vector control scheme based on back propagation (BP) is presented in this paper. The controller is designed to generate d-axes currents command and q-axes currents command simultaneously. In order to achieve a robust BP efficiency optimization vector control from variation of motor parameters, an online learning algorithm is employed. Results of experiments are provided to demonstrate the effectiveness of the proposed method. Keywords -PMSM; efficiency optimization; neural network I INTRODUCTIONThe advantages of PMSM make them highly attractive candidates for traction and residential drive applications, such as hybrid electrical vehicles (HEV) [1][2][3]. In this application of continuous long time operation, the efficiency of the motor is one of the most important factors.Some prior studies proposed the algorithms for efficiency optimization of PMSM. Currently, all the efficiency optimization methods can be divided into two categories: based on loss model and based on search technique, which are put the minimum input power as control objectives. The loss model of PMSM was introduced in [3,4], and an optimal control of the armature current vector, which can make the electrical loss minimized, was provided. This method is suitable to do theoretical analysis, in real-time control process, there is a large amount of dependence on the parameters and computational complexity.[5] provided a search method based on genetic algorithm, but the efficiency-optimized speed of this method will slow down when a larger quantity initial species was chosen. A fuzzy logic control method based on torque compensation and the PM and iron loss was presented in [6], but fuzzy logic rules have SM mathematic model considering the effects of copper loss been influenced by anthropogenic factors, and lack of practicality. Minh and Yoichi applied the golden section technique to optimize the efficiency of induction motor firstly [7], thus shortening the optimization time greatly because of its simplicity. However, this approach is not easy to determine the direction of the initial optimization.An efficiency optimized vector control scheme for PMSM drives is designed in this paper. In the proposed strategy is based on back propagation neural network. The controller is designed to generate d-axes currents command and q-axes currents command simultaneously and an online learning algorithm is employed to achieve a robust BP efficiency optimization vector control from variation of motor parameters. At last, results of experiments are provided to demonstrate the effectiveness of the proposed method. II LOSS MODEL OF PMSMIn the process of PMSM efficiency optimization, the motor mechanical loss and stray loss can be ignored generally, putting i d obtained by loss model, which makes the smallest electrical loss, as the efficiency of optimizing the initial value. According to three dimensional magnetic field theory [2], the application of software ANSYS with finite element method (FEM) to simulate, finite element model is built...

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“…[4] provided a search method based on genetic algorithm, but the efficiency-optimized speed of this method will slow down when a larger quantity initial species was chosen. A fuzzy logic control method based on torque compensation and the PM and iron loss was presented in [5], but fuzzy logic rules have SM mathematic model considering the effects of copper loss been influenced by anthropogenic factors, and lack of practicality. An efficiency optimization method based on neural networks was proposed in [6].…”

Section: Introductionmentioning

confidence: 99%

A Quick Efficiency-Optimized Scheme for Vector Controlled Permanent Magnet Synchronous Motor Drive

Cao¹,

Fan²

2009

2009 IITA International Conference on Control, Automation and Systems Engineering (Case 2009)

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In view of the operation characters of permanent magnet synchronous motor (PMSM) for hybrid electric vehicle (HEV) application, efficiency optimization control strategy is needed to meet the demand of rapidity. A quick efficiency optimized vector control scheme is presented in this paper. In steady state, the initial value of d-axis current can be achieved in any constant speed and torque operating point by loss model, and optimized through the gradient search technique and the golden section technique. Once the motor running in a dynamic process, fast dynamic response control scheme will be activated. Results of simulations and experiments are provided to demonstrate the effectiveness of the proposed method.

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Study on direct torque control of permanent magnet synchronous motor in electric vehicle drive

Cited by 10 publications

References 8 publications

The effective improvement of the PMSM system with the carrier frequency modulation

The effective improvement of the PMSM system with the carrier frequency modulation

Efficient-Optimization Strategy Based on Back Propagation for Vector Controlled Claw Pole Motor Drives

A Quick Efficiency-Optimized Scheme for Vector Controlled Permanent Magnet Synchronous Motor Drive

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