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A Control Strategy for Mode Transition with Gear Shifting in a Plug-In Hybrid Electric Vehicle

Author

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  • Kyuhyun Sim

    (Department of Mechanical Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Korea)

  • Sang-Min Oh

    (Department of Mechanical Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Korea)

  • Ku-Young Kang

    (Department of Mechanical Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Korea)

  • Sung-Ho Hwang

    (Department of Mechanical Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si 16419, Korea)

Abstract

The mode transition from electric propulsion mode to hybrid propulsion mode is important with regard to the power management strategy of plug-in hybrid electric vehicles (PHEVs). This is because mode transitions can occur frequently depending on the power management strategies and driving cycles, and because inadequate mode transitions worsen the fuel efficiency and drivability. A pre-transmission parallel PHEV uses a clutch between the internal combustion engine (ICE) and the electric motor (EM) to connect or disconnect the power source of the ICE for a mode transition. The mode transition requires additional energy consumption for clutch speed synchronization, and is accompanied by a drivetrain shock due to clutch engagement. This paper proposes a control strategy for the mode transition with gear-shifting to resolve the problems of energy consumption and drivetrain shock. Through the development of a PHEV performance simulator, we analyze the mode transition characteristics and propose a control strategy considering the vehicle acceleration and gear state. The control strategy reduces the duration required for the mode transition by moving the start time of the mode transition. This helps to improve energy efficiency while maintaining adequate drivability.

Suggested Citation

  • Kyuhyun Sim & Sang-Min Oh & Ku-Young Kang & Sung-Ho Hwang, 2017. "A Control Strategy for Mode Transition with Gear Shifting in a Plug-In Hybrid Electric Vehicle," Energies, MDPI, vol. 10(7), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:1043-:d:105362
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    References listed on IDEAS

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    1. Jing Sun & Guojing Xing & Chenghui Zhang, 2017. "Data-Driven Predictive Torque Coordination Control during Mode Transition Process of Hybrid Electric Vehicles," Energies, MDPI, vol. 10(4), pages 1-21, April.
    2. Zeyu Chen & Rui Xiong & Kunyu Wang & Bin Jiao, 2015. "Optimal Energy Management Strategy of a Plug-in Hybrid Electric Vehicle Based on a Particle Swarm Optimization Algorithm," Energies, MDPI, vol. 8(5), pages 1-18, April.
    3. Hong-Wen He & Rui Xiong & Yu-Hua Chang, 2010. "Dynamic Modeling and Simulation on a Hybrid Power System for Electric Vehicle Applications," Energies, MDPI, vol. 3(11), pages 1-10, November.
    4. Di Guo & Changqing Du & Fuwu Yan, 2016. "Drivability-Related Discrete-Time Model Predictive Control of Mode Transition in Pre-Transmission Parallel Hybrid Powertrains," Energies, MDPI, vol. 9(9), pages 1-31, September.
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    Cited by:

    1. Ioan Aschilean & Mihai Varlam & Mihai Culcer & Mariana Iliescu & Mircea Raceanu & Adrian Enache & Maria Simona Raboaca & Gabriel Rasoi & Constantin Filote, 2018. "Hybrid Electric Powertrain with Fuel Cells for a Series Vehicle," Energies, MDPI, vol. 11(5), pages 1-12, May.
    2. Xiangyang Xu & Xiaoxiao Wu & Mick Jordan & Peng Dong & Yang Liu, 2018. "Coordinated Engine-Start Control of Single-Motor P2 Hybrid Electric Vehicles with Respect to Different Driving Situations," Energies, MDPI, vol. 11(1), pages 1-23, January.

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