Abstract
The analysis and control of powertrain systems of electric vehicle, which is an important type of new energy vehicle, have been the focus of extensive research, but determining the motor modeling parameters remains a problem. A method of parameter determination for brushless DC motor modeling based on vehicle power performance was developed in this study. The power and torque of the driving motor of an electric vehicle were obtained by using the dynamic equation of the electric vehicle to satisfy the requirements of power performance. The ranges of the back electromotive force coefficient and the winding inductance were derived from the voltage and dynamic equations of brushless DC motor, which were deduced from the expected power and torque of the motor. The modeling parameters were then determined on the basis of the influence of power source voltage, back electromotive force coefficient, winding inductance, and winding resistance on vehicle power performance. A hardware-in-loop simulation of vehicle power performance was performed to verify the effectiveness of the proposed method. Results indicate that the maximum vehicle velocity is 172 km/h, and the acceleration time of 100 km/h is 13 s, which reveal that the motor modeling parameters obtained with the method satisfy relevant requirements.
Highlights
The development of new energy vehicles is an important endeavor in the automotive industry from the perspective of energy crisis mitigation and environmental protection.[1,2] As an important type of new energy vehicle, electric vehicles have become a popular research topic, and their power systems have been extensively studied, with regard to system parameter matching and optimization, motor control, and energy management
Brushless DC motors (BLDCMs) have been widely used in electric vehicle power systems given their advantages of high energy density, simple control, stable operation, and good speed control performance.[3]
When the road slope is set to 0.29 rad, the electric vehicle can climb it at the velocity of 20 km/h, indicating that the modeling parameters can satisfy the performance requirements of the maximum climbing slope
Summary
The development of new energy vehicles is an important endeavor in the automotive industry from the perspective of energy crisis mitigation and environmental protection.[1,2] As an important type of new energy vehicle, electric vehicles have become a popular research topic, and their power systems have been extensively studied, with regard to system parameter matching and optimization, motor control, and energy management. One of the common methods for determining motor modeling parameters is parameter identification, which is aimed at accurately estimating motor parameters, including stator inductance, stator resistance, rotor flux linkage, and load torque.[16,17] Another method is the cluster technique, which uses information on stator currents, stator voltages, and rotor angular speed, to identify electrical parameters,[18] while other methods consider perturbation and temperature.[19] these methods can accurately identify motor electrical parameters, no ready-made motor can be used to perform experiments for parameter identification during the initial development of an electric vehicle At this stage, engineers may need to match powertrain with electric vehicle power requirements. According to the mathematical model of BLDCM, the main electrical parameters of motor modeling are power supply voltage, back EMF coefficient, winding inductance, and winding resistance. The mechanical characteristic of a sixstate three-phase star-shaped BLDCM with two-phase conduction is defined as follows[22]
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