Control strategy of fuel cell hybrid electric vehicle based on driving cycle recognition

This paper describes a novel control strategy based on driving cycle recognition. A Driving Cycle Recognition Algorithm (DCRA) is firstly presented. It allows switching between three driving modes: urban, suburban and highway. A real-time control strategy is then defined based on fuzzy logic with DCRA. Results are drawn and compared to fuzzy logic controllers parametrized for urban or highway cycles.

[1]  Xin Zhang,et al.  Intelligent Energy Management Based on Driving Cycle Identification Using Fuzzy Neural Network , 2009, ISCID.

[2]  Jorge Moreno,et al.  Energy-management system for a hybrid electric vehicle, using ultracapacitors and neural networks , 2006, IEEE Transactions on Industrial Electronics.

[3]  Huei Peng,et al.  Driving Pattern Recognition for Control of Hybrid Electric Trucks , 2004 .

[4]  R. Trigui,et al.  Predictive control for HEV energy management: experimental results , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[5]  A Ravey,et al.  Energy sources sizing for hybrid fuel cell vehicles based on statistical description of driving cycles , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.

[6]  Yaobin Chen,et al.  Analysis and Design of an Optimal Energy Management and Control System for Hybrid Electric Vehicles , 2002 .

[7]  Lino Guzzella,et al.  Vehicle Propulsion Systems: Introduction to Modeling and Optimization , 2005 .

[8]  Abdellatif Miraoui,et al.  Air management in PEM fuel cells: State-of-the-art and prospectives , 2007 .

[9]  Abdellatif Miraoui,et al.  Proton Exchange Membrane Fuel Cell Air Management in Automotive Applications , 2010 .

[10]  Srdjan M. Lukic,et al.  Review of driving conditions prediction and driving style recognition based control algorithms for hybrid electric vehicles , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[11]  Srdjan M. Lukic,et al.  Energy Storage Systems for Automotive Applications , 2008, IEEE Transactions on Industrial Electronics.