Improved Direct Torque Control of Permanent Magnet Synchronous Electrical Vehicle Motor with Proportional-Integral Resistance Estimator

- Journal title : Journal of Electrical Engineering and Technology
- Volume 5, Issue 3, 2010, pp.451-461
- Publisher : The Korean Institute of Electrical Engineers
- DOI : 10.5370/JEET.2010.5.3.451

Title & Authors

Improved Direct Torque Control of Permanent Magnet Synchronous Electrical Vehicle Motor with Proportional-Integral Resistance Estimator

Hartani, Kada; Miloud, Yahia; Miloudi, Abdellah;

Hartani, Kada; Miloud, Yahia; Miloudi, Abdellah;

Abstract

Electric vehicles (EVs) require fast torque response and high drive efficiency. This paper describes a control scheme of fuzzy direct torque control of permanent magnet synchronous motor for EVs. This control strategy is extensively used in EV application. With direct torque control (DTC), the electromagnetic torque and stator flux can be estimated using the measured stator voltages and currents. The estimation depends on motor parameters, except for the stator resistance. The variation of stator resistance due to changes in temperature or frequency downgrades the performance of DTC, which is controlled by introducing errors in the estimated flux linkage vector and the electromagnetic torque. Thus, compensation for the effect of stator resistance variation becomes necessary. This work proposes the estimation of the stator resistance and its compensation using a proportional-integral estimation method. An electronic differential has been also used, which has the advantage of replacing loose, heavy, and inefficient mechanical transmission and mechanical differential with a more efficient, light, and small electric motors that are directly coupled to the wheels through a single gear or an in-wheel motor.

Keywords

Direct torque control;Electric vehicle;Fuzzy logic;Electronic differential;

Language

English

Cited by

1.

Fuzzy PD Speed Controller for Permanent Magnet Synchronous Motors,;;;

2.

T-S Fuzzy Tracking Control of Surface-Mounted Permanent Magnet Synchronous Motors with a Rotor Acceleration Observer,;;;

3.

Implementation of a Robust Fuzzy Adaptive Speed Tracking Control System for Permanent Magnet Synchronous Motors,;;;

4.

Sensorless Fuzzy Direct Torque Control for High Performance Electric Vehicle with Four In-Wheel Motors,;;;;

5.

A New Multimachine Robust Based Anti-skid Control System for High Performance Electric Vehicle,;;

1.

2.

3.

4.

5.

6.

7.

8.

9.

10.

11.

12.

13.

14.

References

1.

C. Chan, “The state of the art of electric and hybrid
vehicles,” Proc. Of the IEEE, Vol. 90, No. 2, pp. 247-275, Feb. 2002.

2.

J. Faiz, M.B.B. Sharifian, A. Keyhani, A.B. Proca,
“Sensorless direct torque control of induction motors
used in electric vehicle,” IEEE, Trans. Energy Conversion,
Vol. 18, No. 1, Mar. 2003.

3.

J. Faiz, S.H. Hossieni, M. Ghaneei, A. Keyhani, A.B.
Proca, “Direct torque control of induction motors for
electric propulsion systems,” Electric Power System
Research, Vol. 51, pp. 95-101, Aug. 1999.

4.

K. Jezernik, “Speed sensorless torque control of induction
motor for EV’s,” Proc. Workshop on Advanced
Motion Control, pp. 236-241, 2002.

5.

M.A. Rahman, R. Qin, “A permanent magnet hysteresis
hybrid synchronous motor for electric vehicles,”
IEEE Trans. Ind. Electron. Vol. 44, No. 1, pp.
46-53, Feb. 1997.

6.

W. Shihua, S. Liwei, C. Shumei, “Study on improving
the performance of permanent magnet wheel motor
for the electric vehicle application,” IEEE, Trans.
Magn. Vol. 43, No. 1, Jan. 2007.

7.

A. Bouscaylor, B. Davat, B. de Fornel, B. Fracois,
“Multimachine Multiconverter System: application
for electromechanical drives,” European Physics
Journal – Applied Physics, Vol. 10, No. 2, pp. 131-147, 2000.

8.

E., Benkhoris F., “Control structures for multimachine
multi-converter systems with upstream coupling,”
Elsevier, Mathematics and computers in simulation,
Vol. 63, pp. 261-270, 2003.

9.

I. Takahachi and T. Noguchi, “A new quick-response
and high-efficiency control strategy of an induction
motor,” IEEE Trans. Ind. Applicat., Vol. 22, No. 5, pp.
820-827, 1986.

10.

T.J. Vyncke, J. A. Melkebeek, and R. K. Boel, “Direct
torque control of permanent magnet synchronous motors
- an overview,” in conf. Proc. 3rd IEEE Benelux
Young Research Symposium in Electrical Power Engineering,
No. 28, Ghent, Begium, Apr. 27-28, p.5,
2006.

11.

D. Casadei, G. Serra, A. Tani, “Implementation of
direct torque control algorithm for induction motors
based on discrt space vector modulation,” IEEE
Trans. on Power Electronics. Vol. 15, No. 4, pp. 769-777, July 2000.

12.

C. French, P. Acarnley, “Direct torque control of
permanent magnet drives,” IEEE Trans. Ind. Appl.
Vol. 32 No. 5, pp. 1080-1088, Sep./Oct. 1996.

13.

B. Hredzak, S., Gair, J.F., Eastham, “Elimination of
torque pulsations in a direct drive EV wheel motor,”
IEEE Trans.actions Magn. Vol. 32, No. 5, pp. 5010-5012, Sep. 1996.

14.

P. Pragasen, R. Krishnan. “Modeling, Simulation, and
Analysis of Permanent Magnets Motor Drives, Part I:
The Permanent Magnets Synchronous Motor Drive,”
IEEE Transactions on Industry Applications. Vol. 25,
No.2, 265-273, 1989.

15.

D.A.J. Rand, R. Woods, R.M. DELL. “Batteries for
electric vehicles,” Research Studies. Press Ltd. 1997.

16.

L.T. Lam, R. Lovey, “Development of ultra-battery
for hybrid-electric vehicle applications,” Elservier,
Power Sources, Vol. 158, pp. 1140-1148, 2006.

17.

S. Kandler, C.Y. Wang, “Power and thermal characterization
of Lithium-Ion battery pack for hybridelectric
vehicles”, Elservier, Power Sources, Vol. 160,
pp. 662-673, 2006.

18.

J. Newan, K.E. Thomas, H. Hafezi, D.R. Wheeler,
“Modeling of lithium-ion batteries,” J. Power Source,
Vol. 119-121, pp. 838-843, Jun. 2003.

19.

P.M. Gomadam, J.W. Weidner, R.A. Dougal, R.E.
White, “Mathematical modeling of lithium-ion and
nickel battery systems,” J. Power Source, Vol. 110,
No. 2, pp.267-284, Aug. 2002.

20.

Cao, Xianqing, Zang, Chunhua, Fan, Liping, “Direct
Torque Controlled Drive for Permanent Magnet Synchronous
Motor Based on Neural Networks and
Multi Fuzzy Controllers,” IEEE International Conference
on Robotics and Biomimetics, 2006. ROBIO
'06. pp. 197-201, 2006.

21.

M. Vasudevan, R. Arumugam, “New direct torque
control scheme of induction motor for electric vehicles,”
5th Asian Control Conference, Vol. 2, 20-23,
pp. 1377-1383, 2004.

22.

S. Mir, M. E. Elbuluk and D. S. Zinger, “PI and
Fuzzy Estimators for Tuning the stator resistance in
direct torque control of induction machines,” IEEE
Transactions Power Electronics, Vol. 13, No. 2, pp.
279-287, March, 1998.

23.

T. Gillespice. “Fundamentals of vehicle dynamics,”
Society of Automotive Engineers, ISBN 1-56091-199-9.

24.

Y. Hori, senior member IEEE, “Future vehicles driver
by electricity and control research on four wheel motored
-UOT electric march II,” IEEE Transactions on
Industrial Electronics, Vol. 51, No. 5, pp. 954-962,
2004.

25.

M. Jalili-Kharaajoo, F. Besharati, “Sliding mode traction
control of an electric vehicle with four separate
wheel drives,” in Proc. IEEE Conf. Emerging Technol-Factory Autom. (ETFA’03), Vol. 2, pp. 291-296,
Sep. 16-19, 2003.

26.

R. Rajamani, Vehicle dynamics and control, ISBN 0-387-26396-9, Springer verlag, New York, 2005.

27.

D. Kim, S. Hwang, H. Kim, “Rear motor control for
4WD hybrid electric vehicle stability,” IEEE Conf. pp.
86-91, 2005.

28.

M. Ouladisine, H. Sheain, L.F. Dridman, H. Noura,
“Vehicle parameters estimation and stability enhancement
using the principle of sliding mode,”
American Control Conference, pp. 5224-5229, 2007.