Analysis Tool for Fuel Cell Vehicle Hardware and Software (Controls) with an Application to Fuel Economy Comparisons of Alternative System Designs

In the area of analysis, a modeling tool for fuel cell vehicles needs to address the transient dynamic interaction between the electric drive train and the fuel cell system. Especially for vehicles lacking an instantaneously responding on-board fuel processor, this interaction is very different from the interaction between a battery (as power source) and an electric drive train in an electric vehicle design. Non-transient modeling leads to inaccurate predictions of vehicle performance and fuel consumption. Applied in the area of development, the existing programs do not support the employment of newer techniques, such as rapid prototyping. This is because the program structure merges control algorithms and component models, or different control algorithms are lumped together in one single control block and not assigned to individual components as they are in real vehicles. In both cases, the transfer of control algorithms from the model into existing hardware is not possible. The simulation program developed in this dissertation recognizes the dynamic interaction between fuel cell system, drive train and optional additional energy storage. It provides models for four different fuel cell vehicle topologies: 1) A load following fuel cell vehicle; 2) A battery hybrid fuel cell vehicle; 3) An ultra-capacitor hybrid fuel cell vehicle in which the ultra-capacitor unit is coupled via a dc-dc converter to the stack; 4) An ultra-capacitor hybrid fuel cell vehicle with direct coupling between fuel cell stack and ultra-capacitor. The structure of the model is a causal and forward-looking. The model separates the modeling of control algorithms from the component models. The setup is strictly modular and encourages the use of rapid prototyping techniques in the development process. The first half of the dissertation explains the model setup. In the second half of the dissertation, the simulation of different hybrid vehicle designs illustrates the capabilities of the model.

[1]  James Moreland Choosing a simulation tool , 1998 .

[2]  Joan M. Ogden,et al.  A comparison of hydrogen, methanol and gasoline as fuels for fuel cell vehicles: implications for vehicle design and infrastructure development , 1999 .

[3]  J Fetz,et al.  ANTRIEBE FUER ELEKTROSTRASSENFAHRZEUGE , 1993 .

[4]  Karl-Heinz Hauer,et al.  Efficiency, Dynamic Performance and System Interactions for a Compact Fuel Processor for Indirect Methanol Fuel Cell Vehicle , 2003 .

[5]  Andrew Burke Ultracapacitors for Electric and Hybrid Vehicles - Performance Requirements, Status of the Technology, and R&D Needs , 1995 .

[6]  David Joshua Friedman REFORMATE FUEL CELL STACK CHARACTERISTICS AND SYSTEM INTERACTIONS , 2000 .

[7]  Sitaram Ramaswamy,et al.  System dynamics and efficiency of the fuel processor for an indirect methanol fuel cell vehicle , 2000, Collection of Technical Papers. 35th Intersociety Energy Conversion Engineering Conference and Exhibit (IECEC) (Cat. No.00CH37022).

[8]  P. Badrinarayanan,et al.  Characteristics of an indirect-methanol fuel cell system , 2000, Collection of Technical Papers. 35th Intersociety Energy Conversion Engineering Conference and Exhibit (IECEC) (Cat. No.00CH37022).

[9]  David J. Friedman,et al.  Requirements for a Flexible and Realistic Air Supply Model for Incorporation into a Fuel Cell Vehicle (FCV) System Simulation , 1999 .

[10]  Sitaram Ramaswamy,et al.  Steam reformer/burner integration and analysis for an indirect methanol fuel cell vehicle , 2000, Collection of Technical Papers. 35th Intersociety Energy Conversion Engineering Conference and Exhibit (IECEC) (Cat. No.00CH37022).

[11]  Karl-Heinz Hauer,et al.  The Hybridized Fuel Cell Vehicle Model of the University of California, Davis , 2001 .

[12]  Richard Stobart,et al.  Engine and control system modelling to reduce powertrain development risk , 1997 .

[13]  Moshe Ben-Akiva,et al.  ACTIVITY-BASED TRAVEL FORECASTING , 1997 .

[14]  Thomas E. Endres Advantages of Rapid Prototyping , 1999 .

[15]  John B. Heywood,et al.  Future Light-Duty Vehicles: Predicting their Fuel Consumption and Carbon-Reduction Potential , 2001 .

[16]  Robert J. Kee,et al.  CHEMKIN-III: A FORTRAN chemical kinetics package for the analysis of gas-phase chemical and plasma kinetics , 1996 .

[17]  F. Huet A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries , 1998 .

[18]  D. Friedman,et al.  Maximizing Direct-Hydrogen PEM Fuel Cell Vehicle Efficiency – Is Hybridization Necessary? , 1999 .

[19]  T D Gillespie,et al.  Fundamentals of Vehicle Dynamics , 1992 .

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

[21]  Bengt J H Jacobson,et al.  On Vehicle Driving Cycle Simulation , 1995 .

[22]  T. Springer,et al.  Modeling and Experimental Diagnostics in Polymer Electrolyte Fuel Cells , 1993 .

[23]  K. B. Wipke,et al.  ADVISOR 2.1: a user-friendly advanced powertrain simulation using a combined backward/forward approach , 1999 .

[24]  T. Springer,et al.  Characterization of polymer electrolyte fuel cells using ac impedance spectroscopy , 1996 .