Energy Management Strategy for Ultracapacitors in Hybrid Electric Vehicles

Electric vehicles EV are attracting attention due to their environmentally friendly operation; they market penetration may require the installation of a large number of charging stages, which is expensive and challenging from the logistic point of view. Hybrid electric vehicles HEV, may get charged from different sources which makes a flexible operation, the combination of a fuel cell, a battery, and an ultra-capacitor represents a plausible solution, ultracapacitors provide the power density required for the acceleration, and the fuel cell provides the energy density required to have a good autonomy. This manuscript proposes a fussy-logic-based energy administration strategy for an HEV feed by a set of a fuel cell, a battery, and an ultra-capacitor. The proposed strategy controls the state of charge of the ultracapacitor, considering their superior energy storage capability. Experimental results demonstrate that the proposed strategy reduces the waste of energy by 14%. This leads to energy savings, the vehicle consumed 218 Wh per km without the proposed strategy against 192 Wh per km without it, for the same example of the driving path; the estimated fuel efficiency increased 96 to 109 miles per gallons.

[1]  Jingwei Li,et al.  Optimal energy management strategy for a plug-in hybrid electric commercial vehicle based on velocity prediction , 2018, Energy.

[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]  Julio C. Rosas-Caro,et al.  Quadratic buck–boost converter with positive output voltage and continuous input current for PEMFC systems , 2017 .

[4]  Xiaosong Hu,et al.  An artificial neural network-enhanced energy management strategy for plug-in hybrid electric vehicles , 2018, Energy.

[5]  Mohamed Benbouzid,et al.  Influence of secondary source technologies and energy management strategies on Energy Storage System sizing for fuel cell electric vehicles , 2017, International Journal of Hydrogen Energy.

[6]  Kodjo Agbossou,et al.  Design of an adaptive EMS for fuel cell vehicles , 2017 .

[7]  E. Rideal The Fuel Cell , 1966, Nature.

[8]  Hongwen He,et al.  Rule based energy management strategy for a series–parallel plug-in hybrid electric bus optimized by dynamic programming , 2017 .

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

[10]  P. Wilson,et al.  Development of a multi-scheme energy management strategy for a hybrid fuel cell driven passenger ship , 2017 .

[11]  Hongwen He,et al.  An energy management strategy based on stochastic model predictive control for plug-in hybrid electric buses , 2017 .

[12]  Sudhakar Natarajan,et al.  Energy sources and multi-input DC-DC converters used in hybrid electric vehicle applications – A review , 2018, International Journal of Hydrogen Energy.

[13]  Kodjo Agbossou,et al.  On the sizing and energy management of an hybrid multistack fuel cell – Battery system for automotive applications , 2017 .

[14]  Hüseyin Turan Arat,et al.  Overview of the next quarter century vision of hydrogen fuel cell electric vehicles , 2019, International Journal of Hydrogen Energy.

[15]  A. Bouscayrol,et al.  Fuel cell, battery and supercapacitor hybrid system for electric vehicle: Modeling and control via energetic macroscopic representation , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[16]  Jiankun Peng,et al.  Energy management of hybrid electric bus based on deep reinforcement learning in continuous state and action space , 2019, Energy Conversion and Management.

[17]  R. Salas-Cabrera,et al.  Topological Derivation of DC-DC Multiplier Converters , 2010 .

[18]  Rong-hui Zhang,et al.  An energy matching method for battery electric vehicle and hydrogen fuel cell vehicle based on source energy consumption rate , 2019, International Journal of Hydrogen Energy.

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

[20]  Faouzi Ben Ammar,et al.  Improved performance and energy management strategy for proton exchange membrane fuel cell/backup battery in power electronic systems , 2017 .

[21]  Luis J. Morales-Mendoza,et al.  A novel DC-DC multilevel SEPIC converter for PEMFC systems , 2016 .

[22]  Hui Liu,et al.  Real-time optimal energy management strategy for a dual-mode power-split hybrid electric vehicle based on an explicit model predictive control algorithm , 2019, Energy.

[23]  Qi Li,et al.  An energy management strategy based on dynamic power factor for fuel cell/battery hybrid locomotive , 2018 .

[24]  Jingni Yuan,et al.  Intelligent energy management strategy based on hierarchical approximate global optimization for plug-in fuel cell hybrid electric vehicles , 2018 .