Research on a PMSM control strategy for electric vehicles

Abstract

This paper proposes a novel state estimation based permanent magnet synchronous motor (PMSM) control method for electric vehicle (EV) driving. Firstly, a state feedback decoupling control with disturbance feed-forward (SFDCDF) is described. As motor angular speed and rotary angle are key information for the proposed control algorithm and park’s transformation, a novel observer based angular speed estimator (OBASE) is proposed for angular speed estimation. Moreover, an extended Kalman filter (EKF) based rotary angle estimator (EBRAE) is used for rotary angle estimation with information of the estimated angular speed. The convergence of angular speed estimation is proven through Lyapunov stability theory. Simulation results also indicate that the proposed algorithms can control PMSM torque, current, and angular speed to accurately follow reference values without severe fluctuation. In addition, in order to provide SFDCDF with load torque information, the OBASE is slightly modified to work as a vehicle load estimator (VLE) so PMSM responds more rapidly and speed fluctuates more slightly when the load suddenly changes. Then a series of hardware in the loop (HIL) simulations are carried out. Results indicate that the proposed control strategy can precisely estimate PMSM’s angular speed and rotor angle. Also, it can improve the driving performance of PMSM used on EVs.

Design and Modelling of Energy Conversion with the Two-Region Torque Control of a PMSM in an EV Powertrain

“…Comparing the results presented here with the literature where "EV" is in the title (EV is now a popular phrase, but not always appropriate to the topic of the article) is difficult; they all have experimental results, but many do not relate to the specifics of the EV powertrain-usually they are electric drive control systems to which an EV has been added. The basis of the operation of the transmission is flux weakening, and the systems presented in [13,14,24] work for constant torque; that is, they need a gearbox, which is unnecessary in an EV. Some have oscillations in electromagnetic torque, and then the question must be asked: how will the passenger react to such driving conditions?…”

“…The motor in drive systems is characterized by two operating regions; in the second region, it is possible to work with angular velocities that are greater than the rated velocity but, at the same time, an electromagnetic torque that is smaller than the rated torque [4][5][6][7][8][12][13][14][15]18,19].…”

“…While the titles of some articles include "EV", many are just descriptions of control methods that do not take into account vehicle dynamics. Additionally, they omit the operation of the motor for constant power: These methods include state feedback decoupling control with disturbance feed-forward [13], where the extended Kalman filter is used, and the practical implementation of direct torque control (DTC), presented in Ref. [14].…”

“…In conclusion, we believe that the consideration of vehicle dynamics in the dynamic analysis of a closed-loop PMSM control system is not seen frequently in the literature [4][5][6][7][8][9][10][11][12][13][14][15][16] and would be valuable. In the quoted articles, as described above, the focus is on other problems of the propulsion system, e.g., there are static characteristics of currents, voltages, and torque or there are different motor control structures.…”

Anti-disturbance GITSMC with quick reaching law for speed control of PMSM drive

“…In recent decades, permanent magnet synchronous motor has been intensively utilized in many different industrial applications as electric vehicles [1], [2] and computer numerical control (CNC) machines [3] due to its small size, simple structure, high torque to inertia rating, and high efficiency [4]. Paremanent magnet synchronous motor (PMSM) is nonlinear, multivariate, and highly coupled system, they generally have critical issues in modeling error, operating condition complexities and sensitivity to uncertainties [5] these disadvantages make difficulties to the conventional controllers proportional integral (PI) to meet the desired dynamic performance control of PMSM drives, which are extremely sensitive to parameter variations and external perturbations.…”