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Modeling and Integrated Optimization of Power Split and Exhaust Thermal Management on Diesel Hybrid Electric Vehicles

Author

Listed:
  • Jinghua Zhao

    (State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China
    Computer College, Jilin Normal University, Siping 136000, China)

  • Yunfeng Hu

    (State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China)

  • Fangxi Xie

    (State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China)

  • Xiaoping Li

    (State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China)

  • Yao Sun

    (State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China)

  • Hongyu Sun

    (Computer College, Jilin Normal University, Siping 136000, China)

  • Xun Gong

    (State Key Laboratory of Automotive Simulation and Control, NanLing Campus, Jilin University, Changchun 130025, China
    School of Artificial Intelligence, Jilin University, Changchun 130025, China)

Abstract

To simultaneously achieve high fuel efficiency and low emissions in a diesel hybrid electric vehicle (DHEV), it is necessary to optimize not only power split but also exhaust thermal management for emission aftertreatment systems. However, how to coordinate the power split and the exhaust thermal management to balance fuel economy improvement and emissions reduction remains a formidable challenge. In this paper, a hierarchical model predictive control (MPC) framework is proposed to coordinate the power split and the exhaust thermal management. The method consists of two parts: a fuel and thermal optimized controller (FTOC) combining the rule-based and the optimization-based methods for power split simultaneously considering fuel consumption and exhaust temperature, and a fuel post-injection thermal controller (FPTC) for exhaust thermal management with a separate fuel injection system added to the exhaust pipe. Additionally, preview information about the road grade is introduced to improve the power split by a fuel and thermal on slope forecast optimized controller (FTSFOC). Simulation results show that the hierarchical method (FTOC + FPTC) can reach the optimal exhaust temperature nearly 40 s earlier, and its total fuel consumption is also reduced by 8.9%, as compared to the sequential method under a world light test cycle (WLTC) driving cycle. Moreover, the total fuel consumption of the FTSFOC is reduced by 5.2%, as compared to the fuel and thermal on sensor-information optimized controller (FTSOC) working with real-time road grade information.

Suggested Citation

  • Jinghua Zhao & Yunfeng Hu & Fangxi Xie & Xiaoping Li & Yao Sun & Hongyu Sun & Xun Gong, 2021. "Modeling and Integrated Optimization of Power Split and Exhaust Thermal Management on Diesel Hybrid Electric Vehicles," Energies, MDPI, vol. 14(22), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7505-:d:675971
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    References listed on IDEAS

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    1. Karol Tucki, 2021. "A Computer Tool for Modelling CO 2 Emissions in Driving Tests for Vehicles with Diesel Engines," Energies, MDPI, vol. 14(2), pages 1-30, January.
    2. Onori, Simona & Tribioli, Laura, 2015. "Adaptive Pontryagin’s Minimum Principle supervisory controller design for the plug-in hybrid GM Chevrolet Volt," Applied Energy, Elsevier, vol. 147(C), pages 224-234.
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    Cited by:

    1. Maciej Ławryńczuk & Piotr M. Marusak & Patryk Chaber & Dawid Seredyński, 2022. "Initialisation of Optimisation Solvers for Nonlinear Model Predictive Control: Classical vs. Hybrid Methods," Energies, MDPI, vol. 15(7), pages 1-21, March.
    2. Yonmo Sung, 2023. "Advances in Reduction Technologies of Gas Emissions (CO 2 , NO x , and SO 2 ) in Combustion-Related Applications," Energies, MDPI, vol. 16(8), pages 1-4, April.
    3. Roberto Finesso & Omar Marello, 2022. "Calculation of Intake Oxygen Concentration through Intake CO 2 Measurement and Evaluation of Its Effect on Nitrogen Oxide Prediction Accuracy in a Heavy-Duty Diesel Engine," Energies, MDPI, vol. 15(1), pages 1-26, January.

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