DocumentCode :
1620560
Title :
Encoderless IPM traction drive for EV/HEV´s
Author :
Patel, N. ; O´Meara, T. ; Nagashima, J. ; Lorenz, R.
Author_Institution :
Gen. Motors, Torrance, CA, USA
Volume :
3
fYear :
2001
Firstpage :
1703
Abstract :
This paper presents an accurate and robust method of estimating rotor position for an IPM drive system for EV/HEV applications. The importance of position sensorless technique for electric propulsion drives has been highlighted in the present study. Stability and dynamic behavior of the position estimation is critical in real world applications. The paper provides experimental results, which demonstrate the excellent performance of the proposed control algorithm. The goal of this paper is to design, implement and successfully demonstrate a sensorless control algorithm for EV/HEV propulsion drive system which works over the entire torque-speed range including zero mechanical speed achieved by combining two rotor position estimation methods for low and high speed ranges.
Keywords :
control system synthesis; electric propulsion; electric vehicles; machine testing; machine theory; machine vector control; parameter estimation; permanent magnet motors; position control; robust control; rotors; traction motor drives; EV applications; HEV applications; control design; control performance; dynamic behavior; electric vehicles; encoderless IPM traction drive; hybrid electric vehicles; interior permanent magnet motors; propulsion drive system; rotor position estimation; sensorless control algorithm; stability; torque-speed range; Algorithm design and analysis; Frequency; Hybrid electric vehicles; Mechanical sensors; Propulsion; Robustness; Rotors; Sensorless control; Synchronous motors; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2001. Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE
Conference_Location :
Chicago, IL, USA
ISSN :
0197-2618
Print_ISBN :
0-7803-7114-3
Type :
conf
DOI :
10.1109/IAS.2001.955762
Filename :
955762
Link To Document :
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