Study of the effect of adverse external conditions on electric vehicles control: adaptive energy management as a solution

Abstract Hybrid electric vehicles undergo an intensive research these days. One of these research lines is the energy management between the power sources for hybrid electric vehicle. This issue is crucial for an efficient and long lasting life for the power systems involved. The most usual way to test energy managements through simulation is to use normalized driving cycles. These driving cycles can be urban, sub-urban or highway cycles. However, none of them consider the effect of unexpected situations, such as traffic holdups. This paper presents the effect of these unexpected situations on an electric and hybrid electric vehicle energy management.

[1]  Douglas J. Nelson,et al.  Energy Management Power Converters in Hybrid Electric and Fuel Cell Vehicles , 2007, Proceedings of the IEEE.

[2]  Bernard Davat,et al.  Multi-converter multi-machine systems: application for electromechanical drives , 2000 .

[3]  P. R. Pathapati,et al.  A new dynamic model for predicting transient phenomena in a PEM fuel cell system , 2005 .

[4]  Phatiphat Thounthong,et al.  Comparative Study of Fuel-Cell Vehicle Hybridization with Battery or Supercapacitor Storage Device , 2009, IEEE Transactions on Vehicular Technology.

[5]  A. Burke Ultracapacitors: why, how, and where is the technology , 2000 .

[6]  Huei Peng,et al.  Power management and design optimization of fuel cell/battery hybrid vehicles , 2007 .

[7]  Daniel Hissel,et al.  On-line fuzzy energy management for hybrid fuel cell systems , 2010 .

[8]  C. C. Chan,et al.  The State of the Art of Electric, Hybrid, and Fuel Cell Vehicles , 2007, Proceedings of the IEEE.

[9]  L. Guzzella,et al.  Control of hybrid electric vehicles , 2007, IEEE Control Systems.

[10]  Thierry-Marie Guerra,et al.  Fuel-Cell Hybrid Powertrain: Toward Minimization of Hydrogen Consumption , 2009, IEEE Transactions on Vehicular Technology.

[11]  F. R. Salmasi,et al.  Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends , 2007, IEEE Transactions on Vehicular Technology.

[12]  Alain Bouscayrol,et al.  From Modeling to Control of a PEM Fuel Cell Using Energetic Macroscopic Representation , 2010, IEEE Transactions on Industrial Electronics.

[13]  Lucia Gauchia,et al.  A Per-Unit Hardware-in-the-Loop Simulation of a Fuel Cell/Battery Hybrid Energy System , 2010, IEEE Transactions on Industrial Electronics.

[14]  Andreas Jossen,et al.  Methods for state-of-charge determination and their applications , 2001 .

[15]  C. Bordons,et al.  Constrained predictive control strategies for PEM fuel cells , 2006, 2006 American Control Conference.