Iron-Loss Modeling with Sensorless Predictive Control of PMBLDC Motor Drive for Electric Vehicle Application

Prashant Kumar, Devara Vijaya Bhaskar, Utkal Ranjan Muduli, Abdul R. Beig, Ranjan Kumar Behera

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Permanent-magnet brushless dc motor (PMBLDCM) is more suitable for electric vehicle (EV) with higher torque and driving performance. A suitable loss modeling of PMBLDCM with proper analysis can improve the control stability at different road surface conditions. However, the iron loss is not minimal enough to be ignored during high-speed operation of PMBLDCM drives. This article proposes a disturbance observer-based sensorless drive control for accurate estimation of the rotor position. This is achieved by taking the iron loss into consideration in order to further reduce the rotor position estimation error. A modified model predictive control is also proposed to deal with the novel modeling to provide torque ripple-free operation at reduced losses. The EV performances are compared for lossless and loss model of PMBLDCM through both simulation and experimental validation.

Original languageBritish English
Article number9252942
Pages (from-to)1506-1515
Number of pages10
JournalIEEE Transactions on Transportation Electrification
Volume7
Issue number3
DOIs
StatePublished - Sep 2021

Keywords

  • Brushless dc motor drive
  • disturbance observer
  • iron-loss estimation
  • model predictive control
  • torque ripple minimization

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