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Indirect Matrix Converter for Hybrid Electric Vehicle Application with Three-Phase and Single-Phase Outputs

Author

Listed:
  • Yeongsu Bak

    (Department of Electrical and Computer Engineering, Ajou University, 206, World cup-ro, Yeongtong-gu, Suwon 443-749, Korea)

  • Eunsil Lee

    (Department of Electrical and Computer Engineering, Ajou University, 206, World cup-ro, Yeongtong-gu, Suwon 443-749, Korea)

  • Kyo-Beum Lee

    (Department of Electrical and Computer Engineering, Ajou University, 206, World cup-ro, Yeongtong-gu, Suwon 443-749, Korea)

Abstract

This paper presents an indirect matrix converter (IMC) topology for hybrid electric vehicle (HEV) application with three-phase and single-phase outputs. The HEV includes mechanical, electrical, control, and electrochemical systems among others. In the mechanical system, a traction motor and a compressor motor are used to drive the HEV. The traction motor and the compressor motor are usually operated as three-phase and single-phase motors, respectively. In this respect, a dual AC-drive system can operate the traction and the compressor motor simultaneously. Furthermore, compared to a conventional dual matrix converter system, the proposed topology can reduce the number of switches that the dual outputs share with a DC-link. The application of this system for HEV has advantages, like long lifetime and reduced volume due to the lack of a DC-link. The proposed control strategy and modulation schemes ensure the sinusoidal input and output waveforms and bidirectional power transmission. The proposed system for the HEV application is verified by simulation and experiments.

Suggested Citation

  • Yeongsu Bak & Eunsil Lee & Kyo-Beum Lee, 2015. "Indirect Matrix Converter for Hybrid Electric Vehicle Application with Three-Phase and Single-Phase Outputs," Energies, MDPI, vol. 8(5), pages 1-18, April.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:5:p:3849-3866:d:49029
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    References listed on IDEAS

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    1. Hae Gwang Jeong & Ro Hak Seung & Kyo Beum Lee, 2012. "An Improved Maximum Power Point Tracking Method for Wind Power Systems," Energies, MDPI, vol. 5(5), pages 1-16, May.
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    Cited by:

    1. Shujing Li & Zewen Wang & Yan Yan & Tingna Shi, 2021. "Finite Set Model Predictive Control of a Dual-Motor Torque Synchronization System Fed by an Indirect Matrix Converter," Energies, MDPI, vol. 14(5), pages 1-17, March.
    2. Yong-Dae Kwon & Jin-Hyuk Park & Kyo-Beum Lee, 2018. "Improving Line Current Distortion in Single-Phase Vienna Rectifiers Using Model-Based Predictive Control," Energies, MDPI, vol. 11(5), pages 1-22, May.
    3. Mourad Sellah & Abdellah Kouzou & Mostefa Mohamed-Seghir & Mohamed Mounir Rezaoui & Ralph Kennel & Mohamed Abdelrahem, 2021. "Improved DTC-SVM Based on Input-Output Feedback Linearization Technique Applied on DOEWIM Powered by Two Dual Indirect Matrix Converters," Energies, MDPI, vol. 14(18), pages 1-23, September.
    4. Qiang Geng & Jiahe Feng & Haojie Sha & Weixi Zhou & Zhanqing Zhou, 2022. "Harmonic Analysis and Attenuation Strategy for a Two-Stage Matrix Converter Fed by Dual-Inverter Based on Pulse Barycenter Method," Energies, MDPI, vol. 15(12), pages 1-20, June.
    5. Yeongsu Bak & June-Seok Lee & Kyo-Beum Lee, 2016. "Balanced Current Control Strategy for Current Source Rectifier Stage of Indirect Matrix Converter under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 10(1), pages 1-18, December.
    6. Bowei Zou & Yougui Guo & Xi Xiao & Bowen Yang & Xiao Wang & Mingzhang Shi & Yulin Tu, 2020. "Performance Improvement of Matrix Converter Direct Torque Control System," Energies, MDPI, vol. 13(12), pages 1-17, June.
    7. Borzou Yousefi & Soodabeh Soleymani & Babak Mozafari & Seid Asghar Gholamian, 2017. "Speed Control of Matrix Converter-Fed Five-Phase Permanent Magnet Synchronous Motors under Unbalanced Voltages," Energies, MDPI, vol. 10(10), pages 1-21, September.
    8. Yeongsu Bak, 2022. "Dynamic Characteristic Improvement of Integrated On-Board Charger Using a Model Predictive Control," Energies, MDPI, vol. 15(22), pages 1-16, November.

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