Fuzzy Logic based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicle

Compared to other transportation technologies, fuel cell hybrid electric vehicles have been widely considered as one of the most promising alternatives for transport applications, due to their zero-emission, low noise, and high efficiency. This paper presents an energy management strategy for a hybrid electric vehicle powered by a fuel cell as the main source and Li-Ion battery as a secondary source. Our proposed approach is based on fuzzy logic and aims to decrease hydrogen consumption while increasing the durability of power sources by respecting their dynamic constraints as well as the battery’s state of charge. The fuzzy logic controller takes as inputs the load power and the battery state of charge and outputs the fuel cell power. The simulation model of the hybrid electric vehicle and its energy management strategy are established using MATLAB/Simulink. The simulation results show the correct functioning of our model and demonstrate that the proposed control strategy shows a good performance in improving fuel economy and the effective distribution of energy between sources.

[1]  Jin Huang,et al.  Energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle based on fuzzy logic , 2012 .

[2]  Yujie Wang,et al.  Adaptive energy management strategy for fuel cell/battery hybrid vehicles using Pontryagin's Minimal Principle , 2019, Journal of Power Sources.

[3]  P. Buasri,et al.  Battery capacity of midsize PHEV for different driving schedules , 2012, 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[4]  Abdelkader Mami,et al.  Design, Modeling and Energy Management of a PEM Fuel Cell / Supercapacitor Hybrid Vehicle , 2017 .

[5]  Olivier Tremblay,et al.  A generic fuel cell model for the simulation of fuel cell vehicles , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[6]  Guo-Ping Liu,et al.  Optimal fuzzy power control and management of fuel cell/battery hybrid vehicles , 2009 .

[7]  Abdelghani El Ougli,et al.  Improved Maximum Power Point Tracking using Fuzzy Logic Control with SEPIC Converter for Photovoltaic Systems , 2018, 2018 6th International Renewable and Sustainable Energy Conference (IRSEC).

[8]  O. Kraa,et al.  Fuzzy Logic and Passivity-based Controller Applied to Electric Vehicle Using Fuel Cell and Supercapacitors Hybrid Source , 2014 .

[9]  Hao Liu,et al.  Fuzzy Logic Based Energy Management for Fuel Cell=Battery Hybrid Systems , 2018, 2018 European Control Conference (ECC).

[10]  He Tian,et al.  Adaptive Fuzzy Logic Energy Management Strategy Based on Reasonable SOC Reference Curve for Online Control of Plug-in Hybrid Electric City Bus , 2018, IEEE Transactions on Intelligent Transportation Systems.

[11]  Jean-Philippe Martin,et al.  Implementation of energy management strategy of hybrid power source for electrical vehicle , 2019, Energy Conversion and Management.

[12]  Chih-Hong Lin,et al.  Design of a range extension strategy for power decentralized fuel cell/battery electric vehicles , 2015 .

[13]  Huan Li,et al.  A Review of Energy Management Strategy for Fuel Cell Hybrid Electric Vehicle , 2017, 2017 IEEE Vehicle Power and Propulsion Conference (VPPC).

[14]  Li Liu,et al.  Experimental investigation on the online fuzzy energy management of hybrid fuel cell/battery power system for UAVs , 2018 .

[15]  Ozan Erdinc,et al.  A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system , 2009 .

[16]  Olivier Tremblay,et al.  Experimental validation of a battery dynamic model for EV applications , 2009 .

[17]  Antonios Tsourdos,et al.  Fuzzy logic based equivalent consumption optimization of a hybrid electric propulsion system for unmanned aerial vehicles , 2019, Aerospace Science and Technology.

[18]  Chang-Soo Kim,et al.  Fuzzy control based engine sizing optimization for a fuel cell/battery hybrid mini-bus , 2008 .