Hybrid Systems Energy Management Using Optimization Method Based on Dynamic Sources Models

This paper focus on offline energy management strategy based on dynamic losses computation made on accurate sources models. Hybrid energy systems (mainly Hybrid Electric Vehicle) should now be managed globally to reach the optimal operation minimizing a global cost criterion, such as hydrogen consumption. The presented operational research method is applied to a Fuel Cell based Vehicle (FCV) powertrain, and it has been adapted to the mathematical model depending on the sources characteristics (fuel cell and battery). In this paper losses and efficiency curves are issued from an accurate nonlinear model using experiments for both sources providing data representing the sources behavior to feed the optimization algorithm. Consumption comparisons on actual mission profiles demonstrate the optimal power splitting obtained.

[1]  L.-A. Dessaint,et al.  A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[2]  Robin Lougee,et al.  The Common Optimization INterface for Operations Research: Promoting open-source software in the operations research community , 2003, IBM J. Res. Dev..

[3]  Ronald L. Rardin,et al.  Optimization in operations research , 1997 .

[4]  Lucia Gauchia,et al.  Black-Box Model, Identification Technique and Frequency Analysis for PEM Fuel Cell With Overshooted Transient Response , 2014, IEEE Transactions on Power Electronics.

[5]  Andreas Wächter,et al.  Short Tutorial: Getting Started With Ipopt in 90 Minutes , 2009, Combinatorial Scientific Computing.

[6]  V. Valdivia,et al.  Black-box model and identification methodology for PEM fuel cell with overshooted transient response , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[7]  V. Valdivia,et al.  Black-box model and identification methodology for PEM fuel cell with overdamped transient response , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[8]  G. Capponi,et al.  Fuel cell modelling for power supply systems design , 2008, 2008 11th Workshop on Control and Modeling for Power Electronics.

[9]  Lili Zhou,et al.  Impact of driving cycles and all-electric range on plug-in hybrid vehicle component size and cost , 2009, 2009 IEEE Vehicle Power and Propulsion Conference.

[10]  W. P. M. H. Heemels,et al.  Energy management strategies for vehicular electric power systems , 2005, IEEE Transactions on Vehicular Technology.

[11]  Sandra Ulrich Ngueveu,et al.  Using Quasi-Newton method for energy management in electrical multi source systems , 2012, 2012 11th International Conference on Environment and Electrical Engineering.

[12]  P. Zumel,et al.  Optimal sizing of propulsion systems applied to fuel cell based vehicles , 2014, 2014 IEEE Energy Conversion Congress and Exposition (ECCE).

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

[14]  Kodjo Agbossou,et al.  Experimental evaluation of PEM Fuel Cell systems efficiency , 2009, 2009 Canadian Conference on Electrical and Computer Engineering.

[15]  Eric R. Zieyel.  Operations research : applications and algorithms , 1988 .

[16]  K. T. Chau,et al.  An overview of energy sources for electric vehicles , 1999 .

[17]  K. Agbossou,et al.  PEM Fuel Cells Modeling and Analysis Through Current and Voltage Transient Behaviors , 2008, IEEE Transactions on Energy Conversion.

[18]  Giorgio Rizzoni,et al.  Optimal energy management in series hybrid electric vehicles , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[19]  R. Lougee-Heimer,et al.  The Common Optimization INterface for Operations Research: Promoting open-source software in the operations research community , 2003 .

[20]  N. Rizoug,et al.  Influence of the drive cycles on the sizing of hybrid storage system battery-supercapacitor supplying an electric vehicle , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.