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Optimal control theory as an instrument for elaboration of automotive hybrid powertrains

  • Automation and Control in Manufacturing
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Abstract

The subject of this paper are essential aspects of development of automotive hybrid powertrains. Instruments for obtaining optimal control of hybrid powertrain have been devised. These instruments were utilized for the comparative assessment of different powertrain topologies with respect to fuel economy and exhaust emissions.

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References

  1. Pollution of Moscow atmosphere for the first quarter of 2008, Mosekomonitoring Report, 2008.

  2. Revich, B.A., Klimat, kachestvo atmosfernogo vozdukha i zdorov’e moskvichei (Climate, Quality of Atmospheric Air and Health of Moscow Residents), Moscow: Adamant, 2006.

    Google Scholar 

  3. Nagaitsev, M.V., Modern world requirements for cars energy efficiency and ways for its provision in Russia, Zh. Avtomob. Inzh., 2014, part 1, no. 4(87), pp. 32–37; part 2, no. 5(88), pp. 18–24.

    Google Scholar 

  4. de Jager, B., van Keulen, T., and Kessels J., Optimal Control of Hybrid Vehicles, London: Springer-Verlag, 2013.

    Book  Google Scholar 

  5. Kum, D., Peng, H., and Bucknor, N.K., Supervisory control of parallel hybrid electric vehicles for fuel and emission reduction, ASME J. Dynam. Syst., Measurement, Control, 2011, vol. 133, no. 6.

    Google Scholar 

  6. Lin, C.-C., Peng, H., and Grizzle, J.W., Power management strategy for a parallel hybrid electric truck, Proc. 2002 Mediterranean Control Conf., Lisbon, 2002.

    Google Scholar 

  7. Kulikov, I.A., Dynamic programming solutions for control of hybrid electric vehicle, Zh. Avtomob. Inzh., 2010, part 2, no. 4(63), pp. 36–39; part 2, no. 5(64), pp. 22–25.

    Google Scholar 

  8. Boltyanskii, V.G., Matematicheskie metody optimal’nogo upravleniya (Mathematical Methods of Optimal Control), Moscow: Nauka, 1969.

    Google Scholar 

  9. Boltyanskii, V.G., Optimal’noe upravlenie diskretnymi sistemami (Optimal Control for Discrete Systems), Moscow: Nauka, 1973.

    Google Scholar 

  10. Pontryagin, L.S., Boltyanskii, V.G., Gamkrelidze, R.V., et al., Matematicheskaya teoriya optimal’nykh protsessov (Mathematical Theory of Optimal Processes), Moscow: Nauka, 1983.

    MATH  Google Scholar 

  11. Bellman, R. and Dreyfus, S., Applied Dynamical Programming, Princeton Univesity Press, 1962.

    Google Scholar 

  12. Venttsel’, E.S., Elementy Dinamicheskogo Programmirovaniya (Elements of Dynamical Programming), Moscow: Nauka, 1961.

    Google Scholar 

  13. Nikolaenko, A.V., Bakhmutov, S.V., Selifonov, V.V., Pavlushkov, B.E., Filonov, A.I., Blagushko, Ya.V., Baulina, E.E., Kulikov, I.A., et al., RF Patent 2424919, Byull. Izobret., 2011, no. 21.

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Authors and Affiliations

  1. Moscow State University of Mechanical Engineering (MAMI), Moscow, Russia

    I. A. Kulikov, A. V. Krutashov & A. I. Filonov

  2. The Central Research and Development Automobile and Engine Institute NAMI, Moscow, Russia

    S. V. Bakhmutov

Authors
  1. I. A. Kulikov
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  2. A. V. Krutashov
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  3. A. I. Filonov
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  4. S. V. Bakhmutov
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Corresponding author

Correspondence to I. A. Kulikov.

Additional information

Original Russian Text © I.A. Kulikov, A.V. Krutashov, A.I. Filonov, S.V. Bakhmutov, 2015, published in Problemy Mashinostroeniya i Nadezhnosti Mashin, 2015, No. 6, pp. 92–99.

The article was translated by the authors.

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Kulikov, I.A., Krutashov, A.V., Filonov, A.I. et al. Optimal control theory as an instrument for elaboration of automotive hybrid powertrains. J. Mach. Manuf. Reliab. 44, 565–571 (2015). https://doi.org/10.3103/S1052618815060072

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  • DOI: https://doi.org/10.3103/S1052618815060072

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