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Dynamic characteristic analysis for clutch engagement process of series–parallel hybrid electric vehicle

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Abstract

Variable driving conditions can cause an integrated starter generator hybrid powertrain to switch between multiple drive modes. The addition of a permanent magnet synchronous motor (PMSM) gives hybrid powertrains complex electromechanical coupling characteristics. The effects of excitation sources, such as the engine and PMSM, may cause unstable behavior in the drive system, such as speed fluctuations during mode switches due to electromechanical coupling characteristics. Although traditional mode switch strategies and methods have achieved measurable results, they are difficult to improve. To solve this problem, we first considered the combination and separation of the clutch and establish a nonlinear model of mode switches for series–parallel hybrid electric vehicles. Then, we predicted the instability boundary of the drive system during mode switches. Experimental results indicated that the proposed instability boundary has higher accuracy. Numerical results showed that the three-mode switches have different thresholds of instability for the clutch structure gap. The decrease in electromagnetic torque and the increase in load excitation amplitude will improve the critical value of the clutch structure gap. The increase in load excitation frequency causes the critical value of the clutch structure gap to drop first and then rise.

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Acknowledgements

This work was supported by the Science Fund of the State Key Laboratory of Automotive Safety and Energy (Grant No. KF2023), the State Key Laboratory of Automotive Simulation and Control (Grant No. 20191103) and the National Natural Science Foundation of China (Grant No. 51705208).

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Authors and Affiliations

  1. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, 212013, China

    Donghai Hu, Jiongzhi Zhang & Leli Hu

  2. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, 100084, China

    Donghai Hu

  3. School of Computing, Electronics and Mathematics, Coventry University, Coventry, UK

    Donghai Hu & Qingqing Yang

  4. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China

    Jianwei Li

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  1. Donghai Hu
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  2. Jiongzhi Zhang
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Correspondence to Donghai Hu or Jianwei Li.

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Hu, D., Zhang, J., Hu, L. et al. Dynamic characteristic analysis for clutch engagement process of series–parallel hybrid electric vehicle. Nonlinear Dyn 105, 45–59 (2021). https://doi.org/10.1007/s11071-021-06609-7

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