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Finite-Control-Set Model Predictive Control for Inductive Power Transfer Charging EV systems with Constant Voltage Load

Abstract

This paper presents a finite-control-set model predictive control (FCS-MPC) strategy for achieving power control in inductive power transfer (IPT) -based electric vehicle (EV) charging systems. The proposed control method is applied to a series-series-compensated IPT system when charging a battery appearing as a constant voltage load (CVL). It has been previously shown that IPT systems with CVL can exhibit large current/power oscillations due to the low damping of a critical mode that can be excited by pulse skipping modulation techniques such as pulse density modulation (PDM). By predicting the next optimal switching states and the input power, the proposed control method will suppress the oscillations caused by pulse skipping operation, while ensuring a fast dynamic response and zero voltage switching (ZVS) operation. The effectiveness and performance of the proposed control method in comparison with a PI-based PDM method are verified by the simulation results.
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Category

Academic chapter

Language

English

Author(s)

Affiliation

  • SINTEF Energy Research / Energisystemer
  • Norwegian University of Science and Technology

Year

2023

Publisher

IEEE (Institute of Electrical and Electronics Engineers)

Book

2023 11th International Conference on Power Electronics and ECCE Asia - ICPE 2023 - ECCE Asia

ISBN

9788957083505

Page(s)

3422 - 3429

View this publication at Norwegian Research Information Repository