The Hybridized Fuel Cell Vehicle Model of the University of California, Davis

Hauer, Karl-Heinz; Moore, Robert M.; Ramaswamy, Sitaram

doi:10.4271/2001-01-0543

Cited by 13 publications

(15 citation statements)

References 5 publications

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“…Air supply control strategies and analyses based on dynamic quasi-steady fuel cell operation are described in [15,[18][19][20][21][22][23]. These studies established a good foundation for understanding fuel cell systems and fuel cell vehicles.…”

Section: Page 3 Of 37mentioning

confidence: 99%

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Optimization of fuel cell system operating conditions for fuel cell vehicles

Zhao

Burke

2009

Journal of Power Sources

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Proton Exchange Membrane fuel cell (PEMFC) technology for use in fuel cell vehicles and other applications has been intensively developed in recent decades. Besides the fuel cell stack, air and fuel control and thermal and water management are major challenges in the development of the fuel cell for vehicle applications. The air supply system can have a major impact on overall system efficiency. In this paper a fuel cell system model for optimizing system operating conditions was developed which includes the transient dynamics of the air system with varying back pressure. Compared to the conventional fixed back pressure operation, the optimal operation discussed in this paper can achieve higher system efficiency over the full load range. Finally, the model is applied as part of a dynamic forward-looking vehicle model of a load-following direct hydrogen fuel cell vehicle to explore the energy economy optimization potential of fuel cell vehicles.

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Section: Page 3 Of 37mentioning

confidence: 99%

“…A dynamic air supply model including the fuel cell stack manifold and channels and the compressor was developed and then integrated into the fuel cell system/vehicle model developed by the UCD fuel cell vehicle modeling group [5,11,21]. The system shown in The stack current is used to calculate the hydrogen required.…”

Section: Fuel Cell Systemmentioning

confidence: 99%

Optimization of fuel cell system operating conditions for fuel cell vehicles

Zhao

Burke

2009

Journal of Power Sources

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“…The general FCVSim simulation tool has been described in detail in the literature [2][3][4][5][6]. It uses a "forward-looking" methodology (a brief discussion of the "forward" and "backward" looking methodologies is available in the literature [2,5]), and this FCVSim review begins on the uppermost upper level, the vehicle, and then progresses to the interaction between the vehicle and the fuel cell power system.…”

Section: The General Fcvsim Simulation Toolmentioning

confidence: 99%

“…FCVSim has been previously introduced and described in the literature [2][3][4][5][6]. This general dynamic FCV simulation tool was developed and implemented as part of a six year R&D project on FCV simulation and analysis, sponsored by an industrial consortium of approximately 20 companies (see "Acknowledgments" at the end of this paper for further details on the project and consortium).…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Simulation Tool for the Battery‐Hybrid Hydrogen Fuel Cell Vehicle

et al. 2006

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This paper describes a dynamic fuel cell vehicle simulation tool for the battery‐hybrid direct‐hydrogen fuel cell vehicle. The emphasis is on simulation of the hybridized hydrogen fuel cell system within an existing fuel cell vehicle simulation tool. The discussion is focused on the simulation of the sub‐systems that are unique to the hybridized direct‐hydrogen vehicle, and builds on a previous paper that described a simulation tool for the load‐following direct‐hydrogen vehicle. The configuration of the general fuel cell vehicle simulation tool has been previously presented in detail, and is only briefly reviewed in the introduction to this paper. Strictly speaking, the results provided in this paper only serve as an example that is valid for the specific fuel cell vehicle design configuration analyzed. Different design choices may lead to different results, depending strongly on the parameters used and choices taken during the detailed design process required for this highly non‐linear and n‐dimensional system. The primary purpose of this paper is not to provide a dynamic simulation tool that is the “final word” for the “optimal” hybrid fuel cell vehicle design. The primary purpose is to provide an explanation of a simulation method for analyzing the energetic aspects of a hybrid fuel cell vehicle.

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“…From a practical point of view the reverse causality is one major obstacle that has been already pointed out 10 . The program compensates this partly with an extensive graphical user interface and a large component library.…”

Section: The Advisor (Advanced Vehicle Simulator) Modelmentioning

confidence: 99%

Fuel Cell Vehicle Simulation – Part 1: Benchmarking Available Fuel Cell Vehicle Simulation Tools

Hauer¹,

Moore

2003

Fuel Cells

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Fuel cell vehicle simulation is one method for systematic and fast investigation of the different vehicle options (fuel choice, hybridization, reformer technologies). However, a sufficient modeling program, capable of modeling the different design options, is not available today. Modern simulation programs should be capable of serving as tools for analysis as well as development. Shortfalls of the existing programs, initially developed for internal combustion engine hybrid vehicles, are: (i)Insufficient modeling of transient characteristics; (ii) Insufficient modeling of the fuel cells system; (iii) Insufficient modeling of advanced hybrid systems; (iv) Employment of a non‐causal (backwards looking) structure; (v) Significant shortcomings in the area of controls.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 with slow 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. When 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 (from different components) 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. This paper is the first part of a three part series and benchmarks the “state of the art” of existing programs. The second paper introduces a new simulation program, which tries to overcome existing barriers. Specifically it explicitly recognizes the dynamic interaction between fuel cell system, drive train and optional additional energy storage.

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The Hybridized Fuel Cell Vehicle Model of the University of California, Davis

Cited by 13 publications

References 5 publications

Optimization of fuel cell system operating conditions for fuel cell vehicles

Optimization of fuel cell system operating conditions for fuel cell vehicles

A Dynamic Simulation Tool for the Battery‐Hybrid Hydrogen Fuel Cell Vehicle

Fuel Cell Vehicle Simulation – Part 1: Benchmarking Available Fuel Cell Vehicle Simulation Tools

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