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<p>The new Dedicated Hybrid Transmission (DHT) hybrid vehicle has rapidly evolved into a core technology platform for hybrid electric vehicles. However, frequent engine start-stop intervention, launch impacts, and combustion instability during transient states adversely affect both driving comfort and emission performance. Given that the engine starting process is highly dependent on its instantaneous thermodynamic state, this study first establishes a coupled model integrating clutch engagement dynamics and engine combustion processes. The influence mechanisms of engagement pressure, ignition timing, and other key parameters on system vibration and emissions are elucidated in this model. Subsequently, to address the multiobjective requirements of vibration suppression and emission optimization, a Model Predictive Control (MPC) controller is designed, which comprehensively integrates the control of clutch engagement process and the optimization of engine thermodynamic parameters, and thus overcomes the limitations of decoupled optimization in conventional control methods. Finally, co-simulation using an AMESim–MATLAB platform is conducted for validation. The results demonstrate that, compared to traditional PID control, the proposed method achieves a 21.8% reduction in driveline output torque fluctuation, a 63.4% decrease in clutch sliding work, and a 28.6% reduction in particulate emission concentration. In addition, the proposed method reduces the fuel consumption by 18% under the CLTC cycle.</p>

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Research on Control of Starting Process of DHT Hybrid Electric Vehicle Considering Engine Thermodynamics

  • 期刊论文

  • 发表日期：

    2026年7月6日

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  • You Yong,
  • Yu Pengzhou,
  • Li Kunhong,
  • Jing Guoxi

摘要

The new Dedicated Hybrid Transmission (DHT) hybrid vehicle has rapidly evolved into a core technology platform for hybrid electric vehicles. However, frequent engine start-stop intervention, launch impacts, and combustion instability during transient states adversely affect both driving comfort and emission performance. Given that the engine starting process is highly dependent on its instantaneous thermodynamic state, this study first establishes a coupled model integrating clutch engagement dynamics and engine combustion processes. The influence mechanisms of engagement pressure, ignition timing, and other key parameters on system vibration and emissions are elucidated in this model. Subsequently, to address the multiobjective requirements of vibration suppression and emission optimization, a Model Predictive Control (MPC) controller is designed, which comprehensively integrates the control of clutch engagement process and the optimization of engine thermodynamic parameters, and thus overcomes the limitations of decoupled optimization in conventional control methods. Finally, co-simulation using an AMESim–MATLAB platform is conducted for validation. The results demonstrate that, compared to traditional PID control, the proposed method achieves a 21.8% reduction in driveline output torque fluctuation, a 63.4% decrease in clutch sliding work, and a 28.6% reduction in particulate emission concentration. In addition, the proposed method reduces the fuel consumption by 18% under the CLTC cycle.