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Automatic Clutch Engagement Control for Parallel Hybrid Electric Vehicle

Author

Listed:
  • Trieu Minh Vu

    (Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, 46117 Liberec, Czech Republic)

  • Reza Moezzi

    (Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, 46117 Liberec, Czech Republic
    Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, 46117 Liberec, Czech Republic)

  • Jindrich Cyrus

    (Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, 46117 Liberec, Czech Republic)

  • Jaroslav Hlava

    (Faculty of Mechatronics, Informatics and Interdisciplinary Studies, Technical University of Liberec, 46117 Liberec, Czech Republic)

  • Michal Petru

    (Institute for Nanomaterials, Advanced Technologies and Innovation, Technical University of Liberec, 46117 Liberec, Czech Republic)

Abstract

Automatic clutch engagement control is essential for all kinds of vehicle power transmissions. The controllers for vehicle power transmissions may include model-based or model-free approaches and must provide high transmission efficiency, fast engagement and low jerk. Most vehicle automatic transmissions are using torque converters with transmission efficiencies up to 96%. This paper presents the use of fuzzy logic control for a dry clutch in parallel hybrid electric vehicles. This controller can minimize the loss of power transmission since it can offer a higher transmission efficiency, up to 99%, with faster engagement, lower jerk and, thus, higher driving comfortability with lower cost. Fuzzy logic control is one of the model-free schemes. It can be combined with AI algorithms, neuro networks and virtual reality technologies in future development. Fuzzy logic control can avoid the complex modelling while maintaining the system’s high stability amid uncertainties and imprecise information. Experiments show that fuzzy logic can reduce the clutch slip and vibration. The new system provides 2% faster engagement speed than the torque converter and eliminates 70% of noise and vibration less than the manual transmission clutch.

Suggested Citation

  • Trieu Minh Vu & Reza Moezzi & Jindrich Cyrus & Jaroslav Hlava & Michal Petru, 2021. "Automatic Clutch Engagement Control for Parallel Hybrid Electric Vehicle," Energies, MDPI, vol. 14(21), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7256-:d:671204
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    References listed on IDEAS

    as
    1. Vu Trieu Minh & John Pumwa, 2014. "Feasible Path Planning for Autonomous Vehicles," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-12, March.
    2. Vu Trieu Minh & Nitin Afzulpurkar & W. M. Wan Muhamad, 2007. "Fault Detection and Control of Process Systems," Mathematical Problems in Engineering, Hindawi, vol. 2007, pages 1-20, March.
    3. Piotr Wróblewski & Jerzy Kupiec & Wojciech Drożdż & Wojciech Lewicki & Jarosław Jaworski, 2021. "The Economic Aspect of Using Different Plug-In Hybrid Driving Techniques in Urban Conditions," Energies, MDPI, vol. 14(12), pages 1-17, June.
    4. Qinghai Zhao & Hongxin Zhang & Yafei Xin, 2021. "Research on Control Strategy of Hydraulic Regenerative Braking of Electrohydraulic Hybrid Electric Vehicles," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, February.
    Full references (including those not matched with items on IDEAS)

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