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Automatic control of clutches and simulations for parallel hybrid vehicles

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Abstract

This paper is a continuation of a previous paper titled “Modeling and Model Predictive Control for Hybrid Vehicle” published on IJAT/2011 describing a mathematical model and design for a model predictive controller for tracking speeds and simulations. The present paper further describes a fuzzy logic controller for the smooth and quick engagement of an automatic clutch. The described controller uses both fuzzy logic and slip control algorithms to enable automatic clutch engagement. Clutch engagement and comprehensive simulations for the hybrid vehicle are conducted in MATLAB R2009s. The research described herein offers theoretical solutions for how to better control clutch slip and engagement within realistic parameters used for hybrid vehicles. Algorithms and operations of this fuzzy logic controller can be implemented in electronic control units for automatic clutch engagements and gear-shifting processes.

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References

  • David, J. and Natarajan, N. (2005). Design of an optimal clutch controller for commercial trucks. American Control Conf., 14, 1599–1606.

    Google Scholar 

  • Heath, P. G. and Child, A. J. (2007). Zeroshift. A seamless Automated Manual Transmission (AMT) with no torque interrupt. Int. Cong. & Exposition — SAE Technical Paper, 1–6.

  • Horn, J., Bamberger, J., Michau, P. and Pindl, S. (2003). Flatness-based clutch control for automated manual transmissions. Control Engineering Practice, 11, 1353–1359.

    Article  Google Scholar 

  • Kim, T. S, Manzie, C. and Sharma, R. (2009). Model predictive control of velocity and torque split in a parallel hybrid vehicle. Proc. IEEE Int. Conf. Systems 13,2, 2014–2019.

    Google Scholar 

  • Kluger, M. and Long, D. (1999). An overview of current automatic, manual and continuously variable transmission efficiencies and their projected future improvements. Int. Cong. & Exposition. SAE Technical Paper, 1–6.

  • Langari, R. and Won, J. S. (2003). A driving situation awareness-based energy management strategy for parallel hybrid vehicles. Proc. Future Transportation Technology Conf., 1, California, 95–102.

  • Lukic, S. M. and Emadi, A. (2004). Effects of drivetrain hybridization on fuel economy and dynamic performance of parallel hybrid electric vehicles. IEEE Trans. Vehicular Technology 53,2, 385–389.

    Article  Google Scholar 

  • Paganelli, G., Delprat, S., Guerra, T. M., Rimaux, J. and Santin, J. J. (2002). Equivalent consumption minimization strategy for parallel hybrid powertrains. Proc. IEEE Vehicular Technology Conf., 4, 2076–2081.

    Google Scholar 

  • Ran, C. and Dongye, S. (2008). Fuzzy neural network control of AMT clutch in starting Phase. 2nd Int. Symp. Intelligent Information Technology Application, 1, 712–715.

    Article  Google Scholar 

  • Schouten, N. J., Salman, M. A. and Kheir, N. A. (2002). Fuzzy logic control for parallel hybrid vehicles. IEEE Trans. Control Systems Technology 10,3, 460–468.

    Article  Google Scholar 

  • Sciarretta, A., Back, M. and Guzzella, L. (2004). Optimal control of parallel hybrid electric vehicles. IEEE Trans. Control Systems Technology 12,3, 352–363.

    Article  Google Scholar 

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Correspondence to V. T. Minh.

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Minh, V.T., Rashid, A.A. Automatic control of clutches and simulations for parallel hybrid vehicles. Int.J Automot. Technol. 13, 645–651 (2012). https://doi.org/10.1007/s12239-012-0063-y

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  • DOI: https://doi.org/10.1007/s12239-012-0063-y

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