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Heuristics and lower bounds for minimizing fuel consumption in hybrid-electrical vehicles

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Abstract

In hybrid electric vehicles, the electrical powertrain system has multiple energy sources that it can gather power from to satisfy the propulsion power requested by the vehicle at each instant. This paper focusses on the minimization of the fuel consumption of such a vehicle, taking advantage of the different energy sources. Based on global optimization approaches, the proposed heuristics find solutions that best split the power requested between the multi-electrical sources available. A lower bounding procedure is introduced to validate the quality of the solutions. Computational results show a significant improvement over previous results from the literature in both the computing time and the quality of the solutions.

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References

  • Bernard J, Delprat S, Guerra TM, Büchi FN (2010) Fuel efficient power management strategy for fuel cell hybrid powertrains. Control Eng Pract 18:408–417

    Article  Google Scholar 

  • Bertsekas DP (2011) Dynamic programming and optimal control, vol II, chap 6. In: Approximate dynamic programming, 3rd edn. Nashua: ISBN 1-886529-26-4, Massachusetts Institute of Technology, pp 322–552

  • Bolvashenkov I, Herzog H-G, Engstle A (2006) Factor of hybridization as a design parameter for hybrid vehicles. In: International symposium on power electronics, electrical drives, automation and motion (SPEEDAM), IEEE, pp 926–929

  • Bosman MGC, Bakker V, Molderink A, Hurink JL, Smit GJM (2012) Planning the production of a fleet of domestic combined heat and power generators. Eur J Oper Res 216:140–151

    Article  Google Scholar 

  • Brahma A, Guezennec Y, Rizzoni G (2000) Optimal energy management in series hybrid electric vehicles. In: American control conference (ACC) 1(6): 60–64, IEEE

  • Buecherl D, Bolvashenkov I, Herzog H (2009) Verification of the optimum hybridization factor as design parameter of hybrid electric vehicles. In: IEEE vehicle power and propulsion conference (VPPC), IEEE, pp 847–851

  • Burke AF (2007) Batteries and ultracapacitors for electric, hybrid, and fuel cell vehicles. Proc IEEE 95:806–820

    Article  Google Scholar 

  • Chan CC (2007) The state of the art of electric, hybrid, and fuel cell vehicles. Proc IEEE 95:704–718

    Article  Google Scholar 

  • Feo TA, Resende MGC (1995) Greedy randomized adaptive search procedures. J Global Optim 6:109–133

    Article  Google Scholar 

  • Gao J, Sun F, He H, Zhu GG, Strangas EG (2009) A comparative study of supervisory control strategies for a series hybrid electric vehicle. In: Asia-Pacific power and energy engineering conference (APPEEC), IEEE, pp 1–7

  • Gaoua Y, Caux S, Lopez P (2013) A combinatorial optimization approach for the electrical energy management in a multi-source system. In: 2nd international conference on operations research and enterprise systems (ICORES 2013), SciTePress, pp 55–59

  • Hankache W (2008) Gestion Optimisée de l’énergie électrique d’un Groupe Electrogène Hybride à Pile à Combustible. PhD thesis, Institut National Polytechnique de Toulouse

  • He Y, Chowdhury M, Pisu P, Ma Y (2012) An energy optimization strategy for power-split drivetrain plug-in hybrid electric vehicles. Transp Res Part C: Emerg Technol 22:29–41

    Article  Google Scholar 

  • Hofman T, Steinbuch M, Van Druten R, Serrarens A (2007) Rule-based energy management strategies for hybrid vehicles. Int J Electr Hybrid Veh 1:71–94

    Article  Google Scholar 

  • Horst R, Tuy H (2000) Global Optimization: Deterministic Approaches, 3rd edn, ISBN 9783540610380, Springer, p 728

  • Jacomino M, Le M (2012) Robust energy planning in buildings with energy and comfort costs. Q J Oper Res (4OR) 10:81–103

    Article  Google Scholar 

  • Jalil N, Kheir NA, Salman M (1997) A rule-based energy management strategy for a series hybrid vehicle. In: American control conference (ACC), IEEE, pp 689–693

  • Kim N, Cha S, Peng H (2011) Optimal control of hybrid electric vehicles based on Pontryagin’s minimum principle. IEEE Trans Control Syst Technol 19:1279–1287

    Article  Google Scholar 

  • Lukic SM, Emadi A (2004) Effects of drivetrain hybridization on fuel economy and dynamic performance of parallel hybrid electric vehicles. IEEE Trans Veh Technol 53:385–389

    Article  Google Scholar 

  • Mathworks (2013) http://www.mathworks.fr/help/toolbox/optim/ug/fmincon.html. Accessed 27 March 2013

  • Neffati A, Caux S, Fadel M (2012) Fuzzy switching of fuzzy rules for energy management in HEVs. In: 8th power plant and power system control symposium (PP&PSC), pp 663–668

  • Ngo DV, Hofman T, Steinbuch M, Serrarens AFA (2010) An optimal control-based algorithm for hybrid electric vehicle using preview route information. In: American control conference (ACC). IEEE, pp 5818–5823

  • Paganelli G, Delprat S, Guerra T-M, Rimaux J, Santin JJ (2002) Equivalent consumption minimization strategy for parallel hybrid powertrains. In: IEEE 55th vehicular technology conference (VTC). IEEE 4: 2076–2081

  • Pérez L, García GO (2010) State constrained optimal control applied to supervisory control in HEVs, oil & gas science and technology. Revue de l’Institut Français du Pétrole 65:191–201

    Google Scholar 

  • Pérez LV, Bossio GR, Moitre D, García GO (2006) Optimization of power management in an hybrid electric vehicle using dynamic programming. Math Comput Simul 73:244–254

    Article  Google Scholar 

  • Pérez LV, Pilotta EA (2009) Optimal power split in a hybrid electric vehicle using direct transcription of an optimal control problem. Math Comput Simul 79:1959–1970

    Article  Google Scholar 

  • Pisu P, Rizzoni G (2007) A comparative study of supervisory control strategies for hybrid electric vehicles. IEEE Trans Control Syst Technol 15:506–518

    Article  Google Scholar 

  • Shen C, Shan P, Gao T (2011) A comprehensive overview of hybrid electric vehicles. Int J Veh Technol 2011:7

    Google Scholar 

  • Vis IFA (2006) Survey of research in the design and control of automated guided vehicle systems. Eur J Oper Res 170:677–709

    Article  Google Scholar 

  • Yu Y-B, Wang Q-N, Min H-T, Wang P-Y, Hao C-G (2009) Control strategy optimization using dynamic programming method for synergic electric system on hybrid electric vehicle. Nat Sci 1:222–228

    Google Scholar 

  • Zadeh L (1965) Fuzzy sets. Inf Control 8:338–353

    Article  Google Scholar 

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Authors and Affiliations

  1. LAAS-CNRS, Université de Toulouse, CNRS, INP, Toulouse, France

    Sandra Ulrich Ngueveu

  2. LAPLACE-UMR5213, Université de Toulouse, INP, UPS, Toulouse, France

    Stéphane Caux, Frédéric Messine & Mouloud Guemri

Authors
  1. Sandra Ulrich Ngueveu
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  2. Stéphane Caux
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  3. Frédéric Messine
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  4. Mouloud Guemri
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Correspondence to Sandra Ulrich Ngueveu.

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Ngueveu, S.U., Caux, S., Messine, F. et al. Heuristics and lower bounds for minimizing fuel consumption in hybrid-electrical vehicles. 4OR-Q J Oper Res 15, 407–430 (2017). https://doi.org/10.1007/s10288-017-0343-5

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  • DOI: https://doi.org/10.1007/s10288-017-0343-5

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