Fuzzy Logic Based Energy Storage Management For Parallel Hybrid Eleсtriс Vehiсle

¹ College of Pharmacy, Ahl Al Bayt University, Karbala, Iraq
² Department of EEE, GRIET, Bachupally, Hyderabad, Telangana, India
³ Asso Professor,,Sri Sai Ram Institute of Technology, chennai
⁴ Department of Mathematics,Christ University, Bangalore
⁵ Department of computers Techniques engineering, College of technical engineering, The Islamic University, Najaf, Iraq, Department of computers Techniques engineering, College of technical engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq, Department of computers Techniques engineering, College of technical engineering, The Islamic University of Babylon, Babylon, Iraq

^* Corresponding author: AH.hussien@abu.edu.iq
^** vijayram_v@yahoo.com
^*** Saritha.ganesan@gmail.com
^**** subramani.r@christuniversity.in
^***** zaidsalami12@gmail.com

Abstract

For the parallel hybrid electric vehicle, the various control strategies for energy management are illustrated with the implementation of fuzzy logic. The controller is designed and simulated in two modes for the economy and fuel optimisation. In order to manage the energy in HEV with three separate energy sources—batteries, Fuel cell and a supercapacitor system, —this article intends to create a fuzzy logic controller. By considering a complete system, the operating efficiency of the components need to be optimized. the control strategy implementation will be performed by the forward-facing approach. The fuel economy is optimised by maximising the operating efficiency in this strategy while other strategies does not have this extra aspect. The ability controller for parallel hybrid vehicles is mentioned in this research to enhance fuel economy. Although the earlier installed power controllers optimise operation, they do not fully utilise the capabilities. Hybrid vehicles can be equipped with a variety of power and energy sources such as batteries, internal combustion engines, fuel cell systems, supercapacitor systems or flywheel systems.