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Rotor Position Estimation Approaches for Sensorless Control of Permanent Magnet Traction Motor in Electric Vehicles: A Review
- Source :
- World Electric Vehicle Journal, Vol 12, Iss 9, p 9 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Permanent magnet traction motor has the advantages of high efficiency, high power density, high torque density and quick dynamic response, which has been widely used in the traction field of electric vehicle. The high-performance control of permanent magnet traction motor depends on accurate rotor position information, which is usually obtained by using mechanical position sensors such as hall sensor, encoder and rotary transformer. However, the traditional mechanical sensor has the disadvantages of high cost, large volume and poor anti-interference ability, which limits the application of permanent magnet motor. The sensorless control technology is an effective way to solve the above-mentioned problem. Firstly, the sensorless control techniques of permanent magnet motor are classified. The sensorless control techniques of permanent magnet motor for rotor initial position, zero-low speed range, medium-high speed range and full speed range are deeply described and compared. Finally, the development trend of sensorless control technology of permanent magnet traction motor is prospected.
- Subjects :
- business.product_category
Computer science
permanent magnet motor
020209 energy
medicine.medical_treatment
02 engineering and technology
Automotive engineering
law.invention
Traction motor
Rotary transformer
law
Electric vehicle
0202 electrical engineering, electronic engineering, information engineering
medicine
motor control
sensorless control
rotor position estimation
Rotor (electric)
020208 electrical & electronic engineering
lcsh:TA1001-1280
Traction (orthopedics)
equipment and supplies
Magnet
Automotive Engineering
Hall effect sensor
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:Transportation engineering
business
human activities
lcsh:TK1-9971
Position sensor
Subjects
Details
- Language :
- English
- ISSN :
- 20326653
- Volume :
- 12
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- World Electric Vehicle Journal
- Accession number :
- edsair.doi.dedup.....3fb190833e1f26fea19257c3d10f97ac