Dynamic Modeling and Control of a Fuel Cell Hybrid Vehicle with Onboard Fuel Processor

Abstract The transient behavior of a Fuel Processor System to produce Hydrogen from bio-ethanol with high performance, coupled with a Proton Exchange Membrane Fuel Cell is modeled. The Ethanol Processor is based on a previous steady state design, optimized to work with maximum efficiency around 10 kW of rated power. From the dynamic rigorous model, a linearized model is identified to apply a systematic procedure to synthesize the control structure. The Fuel Cell System is then hybridized with supercapacitors as auxiliary power source, to lower the overall consumption of hydrogen, hence of bio-ethanol too. The entire vehicle is tested using standard driving cycles, widely utilized in related literature and to measure pollutant emissions. The overall behavior reaches the expectations and is capable of fulfilling the requirements of urban and highway scenarios, and also suggests the possibility of resizing the components to improve fuel economy.

[1]  Nigel P. Brandon,et al.  Comparative analysis of battery electric, hydrogen fuel cell and hybrid vehicles in a future sustainable road transport system , 2010 .

[2]  Eduardo López,et al.  Dynamic modeling and controllability analysis of an ethanol reformer for fuel cell application , 2010 .

[3]  David Zumoffen,et al.  Optimal Sensor Location for Chemical Process Accounting the Best Control Configuration , 2009 .

[4]  Diego Feroldi,et al.  CONTROL AND DESIGN OF PEM FUEL CELL-BASED SYSTEMS: Advantages of fuel cell hybrid systems with supercapacitors , 2009 .

[5]  Tony Markel,et al.  ADVISOR: A SYSTEMS ANALYSIS TOOL FOR ADVANCED VEHICLE MODELING , 2002 .

[6]  M. Morari,et al.  Internal model control: PID controller design , 1986 .

[7]  Jeffrey D. Ward,et al.  Optimal design of an experimental methanol fuel reformer , 2008 .

[8]  Diego Feroldi,et al.  Energy management strategies based on efficiency map for fuel cell hybrid vehicles , 2009 .

[9]  Drew Seils,et al.  Optimal design , 2007 .

[10]  Jianqiu Li,et al.  Power management strategy for vehicular-applied hybrid fuel cell/battery power system , 2009 .

[11]  M. Basualdo,et al.  Analysis of the control structures for an integrated ethanol processor for proton exchange membrane fuel cell systems , 2009 .

[12]  Daniel Eduardo Rivera Flores.  UNA METODOLOGÍA PARA LA IDENTIFICACIÓN INTEGRADA CON EL DISEÑO DE CONTROLADORES IMC-PID , 2007 .

[13]  Lennart Ljung,et al.  System identification toolbox for use with MATLAB , 1988 .

[14]  B. De Moor,et al.  Two subspace algorithms for the identification of combined deterministic-stochastic systems , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[15]  Alessandra Conversi,et al.  Comparative Analysis , 2009, Encyclopedia of Database Systems.

[16]  Marta Basualdo,et al.  Control Oriented Dynamic Rigorous Model of a Fuel Processor System and Fuel Cell Stack , 2009 .

[17]  Phatiphat Thounthong,et al.  Energy management of fuel cell/battery/supercapacitor hybrid power source for vehicle applications , 2009 .

[18]  Thomas Aicher,et al.  A portable fuel processor for hydrogen production from ethanol in a 250 Wel fuel cell system , 2009 .