An Improvement of Fuzzy-Based Control Strategy for a Series Hydraulic Hybrid Truck

  • Tri-Vien VuEmail author
  • Bach H. Dinh
  • Anh-Minh Duc Tran
  • Chih-Keng Chen
  • Trung-Hieu Vu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 554)


This paper has proposed and investigated a fuzzy-based power management strategy for a light-duty series hydraulic hybrid truck (SHHT). In this approach, a fuzzy-based controller will use the vehicle speed and acceleration commands as the inputs to predict the desired accumulator pressure in order to satisfy the dynamic constraints in efficient manner. The performance of the proposed power management was then evaluated on a high fidelity SHHT model, which is developed in Matlab/Simulink, under typical driving cycles. The simulation results demonstrated that with the proposed supervisory controller, the SHHT system achieves better fuel economy improvement and dynamic performance for both urban and highway driving conditions.


Series hydraulic hybrid truck Multi-input-single-output Fuzzy logic controller Dynamic performance 


  1. 1.
    IPCC: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (2014)Google Scholar
  2. 2.
  3. 3.
    The United State EPA, Regulations for Emissions from Vehicles and Engines.
  4. 4.
    The European Parliament and of the Council, Decision No 406/2009/EC.
  5. 5.
  6. 6.
    Baer, K.: Simulation-Based Optimization of a Series Hydraulic Hybrid Vehicle, Linköping Studies in Science and Technology. Dissertations, Linköping University Electronic Press, p. 72 (2018)Google Scholar
  7. 7.
    Wu, B., Lin, C.-C., Filipi, Z., Peng, H., Assanis, D.: Optimal power management for a hydraulic hybrid delivery truck. J. Vehicle Syst. Dyn. 42(1–2), 23–40 (2004)CrossRefGoogle Scholar
  8. 8.
    Kim, Y., Filipi, Z.: Series hydraulic hybrid propulsion for a light truck-optimizing the thermostatic power management. SAE Trans. J. Engines 116, 1597–1609 (2007)Google Scholar
  9. 9.
    Vu, T.V., Vu, T.H.: An improvement of rule-based control strategy for a series hydraulic hybrid vehicle. In: AETA 2016: Recent Advances in Electrical Engineering and Related Sciences. Lecture Notes in Electrical Engineering, vol. 415. Springer, Cham (2016)Google Scholar
  10. 10.
    Tao, L., Jincheng, Z., Shuwen, W., Fangde, G.: Logic threshold based energy control strategy for parallel hydraulic hybrid vehicles. Res. J. Appl. Sci. Eng. Technol. 6, 2339–2344 (2013)CrossRefGoogle Scholar
  11. 11.
    Kim, Y.A.: Integrated Modeling and Hardware-in-the-Loop Study for Systematic Evaluation of Hydraulic Hybrid Propulsion Options. Ph.D. Dissertation, University of Michigan, MI, USA (2008)Google Scholar
  12. 12.
    Shan, M.: Modeling and Control Strategy for Series Hydraulic Hybrid Vehicles. Ph.D. Dissertation, Toledo Univ., OH, USA (2009)Google Scholar
  13. 13.
    Macor, A., Benato, A., Rossetti, A., Bettio, Z.: Study and simulation of a hydraulic hybrid powertrain. Energy Procedia 126, 1131–1138 (2017)CrossRefGoogle Scholar
  14. 14.
    Ramakrishnan, R., Somashekhar, S.H., Singaperumal, M.: Modeling, simulation and design optimization of a series hydraulic hybrid vehicle. Appl. Mech. Mater. 541–542, 727–731 (2014)CrossRefGoogle Scholar
  15. 15.
    Wu, W., Hu, J.B., Yuan, S.H., Di, C.F.: A hydraulic hybrid propulsion method for automobiles with self-adaptive system. Energy 114, 683–692 (2016)CrossRefGoogle Scholar
  16. 16.
    Vu, T.V., Chen, C.K.: A fuzzy-based supervisory controller development for a series hydraulic hybrid vehicle. In: AETA 2017-Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. Lecture Notes in Electrical Engineering, vol. 465. Springer, Cham (2017)Google Scholar
  17. 17.
    Vu, T.V.: Simulation and Design of Hydraulic Hybrid Vehicle, M.S thesis, Da-yeh Univ., Changhua, Taiwan (2011)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Tri-Vien Vu
    • 1
    Email author
  • Bach H. Dinh
    • 1
  • Anh-Minh Duc Tran
    • 1
  • Chih-Keng Chen
    • 2
  • Trung-Hieu Vu
    • 3
  1. 1.Faculty of Electrical and Electronics EngineeringTon Duc Thang UniversityHo Chi Minh CityVietnam
  2. 2.Department of Vehicle EngineeringNational Taipei University of TechnologyTaipei CityTaiwan
  3. 3.CT13TIE01, Ho Chi Minh City University of TechnologyHo Chi Minh CityVietnam

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