Model Predictive Control of an Electric Vehicle Motor Drive Integrated Battery Charger

This paper presents a multi-objective model predictive control (MPC) approach for a three-phase, split converter-fed switched reluctance motor (SRM) integrated battery charger for Electric Vehicle (EV) application. The proposed control is based on finite control set (FCS) model predictive control wh...

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Bibliographic Details
Main Authors: Saeed, Junaid, Niakinezhad, Mehdi, Fernando, Nuwantha, Wang, Liuping
Format: Conference Proceeding
Language:English
Subjects:
Batteries
Charger
Electric Vehicle
Finite Control Set
Inductors
Mathematical model
Model Predictive Control
Plug-in Hybrid Electric Vehicle
Predictive control
Predictive models
Reluctance motors
State of Charge
Switched reluctance motor
Windings
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Description
Summary:This paper presents a multi-objective model predictive control (MPC) approach for a three-phase, split converter-fed switched reluctance motor (SRM) integrated battery charger for Electric Vehicle (EV) application. The proposed control is based on finite control set (FCS) model predictive control which is suitable for online prediction with a unit prediction horizon. With the help of a tailored multi-objective cost function, the proposed MPC achieves unity input power factor while also equalizing the batteries' state of charge (SoC) at the end of the charging cycle regardless their initial SoC. The performance of the proposed MPC has been verified using MATLAB/Simulink.
ISSN:2166-9546
DOI:10.1109/CPE.2019.8862423