Abstract
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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
The statistic Portal. https://www.statista.com/statistics/281134/number-of-vehicles-in-use-worldwide/
The United State EPA, Regulations for Emissions from Vehicles and Engines. https://www.epa.gov/regulations-emissions-vehicles-and-engines/proposed-rule-repeal-emission-requirements-glider
The European Parliament and of the Council, Decision No 406/2009/EC. http://data.euro-pa.eu/eli/dec/2009/406/oj
International Energy Agency, CO2 Emissions from Fuel Combustion. https://www.iea.org/publications/freepublications/publication/CO2EmissionsfromFuelCombustionHighlights2017.pdf
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)
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)
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)
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)
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)
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)
Shan, M.: Modeling and Control Strategy for Series Hydraulic Hybrid Vehicles. Ph.D. Dissertation, Toledo Univ., OH, USA (2009)
Macor, A., Benato, A., Rossetti, A., Bettio, Z.: Study and simulation of a hydraulic hybrid powertrain. Energy Procedia 126, 1131–1138 (2017)
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)
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)
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)
Vu, T.V.: Simulation and Design of Hydraulic Hybrid Vehicle, M.S thesis, Da-yeh Univ., Changhua, Taiwan (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Vu, TV., Dinh, B.H., Tran, AM.D., Chen, CK., Vu, TH. (2020). An Improvement of Fuzzy-Based Control Strategy for a Series Hydraulic Hybrid Truck. In: Zelinka, I., Brandstetter, P., Trong Dao, T., Hoang Duy, V., Kim, S. (eds) AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application. AETA 2018. Lecture Notes in Electrical Engineering, vol 554. Springer, Cham. https://doi.org/10.1007/978-3-030-14907-9_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-14907-9_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-14906-2
Online ISBN: 978-3-030-14907-9
eBook Packages: EngineeringEngineering (R0)