Online stator and rotor resistance estimation scheme using swarm intelligence for induction motor drive in EV/HEV

The usage of niche copper-rotor induction motor (CRIM) in the Tesla Roadster electric vehicle has bolstered the technology of using copper-rotor induction motor for electrified transportation. Understanding the merits, demerits and state of art technology of induction motor and its drive in EV/HEV a...

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Bibliographic Details
Main Authors: Iyer, K. L. V., Xiaomin Lu, Mukherjee, K., Kar, N. C.
Format: Conference Proceeding
Language:English
Subjects:
Copper
Copper-rotor induction machine
electric vehicle
Estimation
Induction motors
particle swarm optimization
Resistance
rotor resistance estimation
Rotors
stator resistance estimation
Stators
Traction motors
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Summary:The usage of niche copper-rotor induction motor (CRIM) in the Tesla Roadster electric vehicle has bolstered the technology of using copper-rotor induction motor for electrified transportation. Understanding the merits, demerits and state of art technology of induction motor and its drive in EV/HEV application, this research manuscript proposes an online stator and rotor resistance estimation scheme using particle swarm optimization (PSO) technique for efficient and accurate control of induction motors in the same application. Firstly, an insight is provided on the state or art CRIM technology in EV/HEV and the need for reliable online rotor and stator resistance estimation scheme. Secondly, a PSO based scheme for resistance estimation is developed through a mathematical model. The developed model is validated and tested on a 10hp CRIM thorough a computer programme. Thereafter, the calculated results obtained from numerical investigations are analyzed.
DOI:10.1109/EDPC.2011.6085571