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Review of Energy Technologies and Policy Research

June 2015, Volume 2, 2, pp 29-36

Fuzzy Logic Based Energy Management System for Hybrid Electric Vehicle

Z. Tareq


N. Sulaiman


M.A. Hannan


A. Mohamed


E.H. Majlan


W.R.W. Daud

Z. Tareq 1

N. Sulaiman 2

M.A. Hannan 3 A. Mohamed 3 E.H. Majlan 5
W.R.W. Daud 3 

  1. Faculty of Engineering and Technology Infrastructure, Infrastructure University Kuala Lumpur 1

  2. Faculty of Engineering and Technology Infrastructure, Infrastructure University Kuala Lumpur; Fuel Cell Institute, Universiti Kebangsaan Malaysia 2

  3. Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia 3

  4. Fuel Cell Institute, Universiti Kebangsaan Malaysia 5

Pages: 29-36

DOI: 10.18488/journal.77/2015.2.2/

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Hybrid electric vehicles have gained attention throughout the globe with its advantage of green technology and reduced greenhouse gases emission. Moreover, hybrid vehicles being powered by battery would be the best option of replacing current petrol or gas dependent vehicles. There are drawbacks though; battery has limited lifetime and is very costly. Hence, it is hybridized with other energy storage systems such as supercapacitor. This paper focuses on the energy management system for the energy storage system consisting battery and supercapacitor of a hybrid electric vehicle using fuzzy logic based controller. The energy management system, which manages energy feed between battery and supercapacitor, is then simulated in Matlab/Simulink to verify its reliability and validity of operation.

Contribution/ Originality
The paper's primary contribution is finding an energy management that could distribute or split energy between two sources of which in this paper is using battery and supercapacitor. The energy management in this paper uses fuzzy logic control to split the energy between the two energy sources.



  1. C. Roberto, D. B. Davide, M. Matteo, and V. Carlo, "Model based design and optimization of a fuel cell electric vehicle," presented at the 68th Conference of the Italian Thermal Machines Engineering Association (ATI2013). Energy Procedia, 2014.
  2. D. A. A. Tinton, "Energy storage system using battery and ultracapacitor on mobile charging station for electric vehicle," presented at the 2nd International Conference on Sustainable Energy Engineering and Application (ICSEEA2014). Energy Procedia, 2015.
  3. C. Jian and E. Ali, "A new battery/ultra-capacitor hybrid energy storage system for electric, hybrid and plug-in hybrid electric vehicles," IEEE Transactions on Power Electronics, vol. 27, pp. 122-132 2011.
  4. W. Baifan and C. Bo, "Study the performance of battery models for hybrid electric vehicles," presented at the 10th International Conference on Mechatronic and Embedded Systems and Applications MESA, 2014.
  5. S. G. Li, S. M. Sharkh, F. C. Walsh, and C. N. Zhang, "Energy and battery management of a plug-in series hybrid electric vehicle using fuzzy logic," IEEE Transactions on Vehicular Technology, vol. 60, pp. 3571-3585, 2011.
  6. B. Sofiane and M. Kamal, "Hybrid system energy management and supervision based on fuzzy logic approach for electricity production in remote areas," presented at the First International Conference on Renewable Energies and Vehicular Technology, 2012.


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