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Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data

Author

Listed:
  • Woong Lee

    (Department of Mechanical Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea)

  • Tacksu Kim

    (Department of Mechanical Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea)

  • Jongryeol Jeong

    (Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul 08826, Korea)

  • Jaewoo Chung

    (Eco-Friendly Vehicle R&D Division, Korea Automotive Technology Institute, Cheonan, Chungcheongnamdo 31214, Korea)

  • Deokjin Kim

    (Eco-Friendly Vehicle R&D Division, Korea Automotive Technology Institute, Cheonan, Chungcheongnamdo 31214, Korea)

  • Beomho Lee

    (Eco-Friendly Vehicle R&D Division, Korea Automotive Technology Institute, Cheonan, Chungcheongnamdo 31214, Korea)

  • Namwook Kim

    (Department of Mechanical Engineering, Hanyang University, Ansan, Gyeonggi-do 15588, Korea)

Abstract

The control strategy of a hybrid electric vehicle (HEV) is generally not disclosed to public because it is a significant factor in determining the performance of the system. However, engineers desiring to understand the control concept of real-world HEVs can gain knowledge in various ways. In this study, we used test data obtained from a bench dynamometer and real driving to analyze the supervisory control strategy of Hyundai Ioniq Hybrid. This research can be described in three steps. First, an understanding of the mode control strategy is obtained by investigating the engine on/off behavior, which determines when the pure electric driving mode is used. Second, the shifting patterns are studied by observing the speed ratios according to the vehicle speed and the torque demand. Third, the strategy for distributing the torque between the engine and the motor is analyzed by studying the motor assistant operation. Based on the analyzed control concept, it is possible to understand the technical strategy for improving the fuel efficiency of the parallel hybrid system. This study would be useful for engineers who want to design controllers for HEVs, in that it provides the analyzed control concept and the real-world operating behaviors.

Suggested Citation

  • Woong Lee & Tacksu Kim & Jongryeol Jeong & Jaewoo Chung & Deokjin Kim & Beomho Lee & Namwook Kim, 2020. "Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data," Energies, MDPI, vol. 13(16), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4092-:d:395897
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    References listed on IDEAS

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    1. Sachin Chaturvedi, 2016. "The Development Compact," International Studies, , vol. 53(1), pages 15-43, January.
    2. Haeseong Jeoung & Kiwook Lee & Namwook Kim, 2019. "Methodology for Finding Maximum Performance and Improvement Possibility of Rule-Based Control for Parallel Type-2 Hybrid Electric Vehicles," Energies, MDPI, vol. 12(10), pages 1-17, May.
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    Citations

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    Cited by:

    1. Huijun Yue & Jinyu Lin & Peng Dong & Zhinan Chen & Xiangyang Xu, 2023. "Configurations and Control Strategies of Hybrid Powertrain Systems," Energies, MDPI, vol. 16(2), pages 1-18, January.
    2. Bảo-Huy Nguyễn & João Pedro F. Trovão & Ronan German & Alain Bouscayrol, 2020. "Real-Time Energy Management of Parallel Hybrid Electric Vehicles Using Linear Quadratic Regulation," Energies, MDPI, vol. 13(21), pages 1-19, October.
    3. Nikolaos Aletras & Stylianos Doulgeris & Zissis Samaras & Leonidas Ntziachristos, 2023. "Comparative Assessment of Supervisory Control Algorithms for a Plug-In Hybrid Electric Vehicle," Energies, MDPI, vol. 16(3), pages 1-17, February.

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