Numerical prediction on an automotive fuel cell driving system

Pei, Pucheng; Wu, Yang; Li, Ping

doi:10.1016/j.ijhydene.2005.06.028

Cited by 22 publications

(7 citation statements)

References 16 publications

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“…The peak potential required from a PEMFC assembly is related to an entire automotive system, which can be dependent on factors such as level of battery hybridization, power converter efficiency, and the traction motor used. Recent publications indicate this value varies between 200 and 300 V for 80 kW systems [125][126][127]. For the current design, a 200 V potential at peak power was assumed for best efficiency of power conversion at minimum and maximum voltages.…”

Section: Channel Lengthmentioning

confidence: 99%

Visualization of Fuel Cell Water Transport and Performance Characterization under Freezing Conditions

Kandlikar

Rao

et al. 2010

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Section: Channel Lengthmentioning

confidence: 99%

Visualization of Fuel Cell Water Transport and Performance Characterization under Freezing Conditions

Kandlikar

Rao

et al. 2010

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“…Equations 18, 19, 21 and 22 were taken from Pei et al [34]. The parasitic power is composed of the power consumption of the compressor, W comp , and the other power losses, W others .…”

Section: System Efficiencymentioning

confidence: 99%

“…The parasitic power is composed of the power consumption of the compressor, W comp , and the other power losses, W others . Pei et al [34] assumed W others to be equal to 2 kW based on a stack output power of 62.5…”

Section: System Efficiencymentioning

confidence: 99%

“…Also, the compressor and motor efficiencies vary with the size of the compressor and the fraction of full load at which it is operated at. However, it is assumed that the compressor and motor efficiencies are constant, similar to the approach adopted by others [6,34]. Table 1 presents the expressions for the physical parameters used in the model, whilst Table 2 gives the values of the constant parameters.…”

Section: System Efficiencymentioning

confidence: 99%

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A multi-objective optimisation model for a general polymer electrolyte membrane fuel cell system

Ang

Brett

Fraga

2010

Journal of Power Sources

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This paper presents an optimisation model for a general polymer electrolyte membrane (PEM) fuel cell system suitable for efficiency and size trade-offs investigation. Simulation of the model for a base case shows that for a given output power, a more efficient system is bigger and vice versa. Using the weighting method to perform a multi-objective optimisation, the Pareto sets were generated for different stack output powers. A Pareto set, presented as a plot of the optimal efficiency and area of the membrane electrode assembly (MEA), gives a quantitative description of the compromise between efficiency and size. Overall, our results indicate that, to make the most of the size-efficiency trade-off behaviour, the system must be operated at an efficiency of at least 40% but not more than 47%. Furthermore, the MEA area should be at least 3 cm 2 per Watt for the efficiency to be practically useful. Subject to the constraints imposed on the model, which are based on technical practicalities, a PEM fuel cell system such as the one presented in this work cannot operate at an efficiency above 54%. The results of this work, specifically the multi-objective model, will form a useful and practical basis for subsequent techno-economic studies for specific applications.

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“…There are numerous design and operating variables that affect the overall performance of a PEM fuel cell system. Many techniques of optimization of fuel cell systems considering the design and operating variables have been reported in the literature [1][2][3][4][5][6][7][10][11][12][13]. However, most of the reported works considered only one optimization objective; efficiency or cost.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Function Optimization for PEM Fuel Cell System

2010

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There are numerous design and operating variables that affect the overall performance of a PEM fuel cell system. Many optimization techniques for the PEM fuel cell system have been reported in the literature. However, most of the reported work considered either efficiency or cost as the objective function. But it is known that fuel cell efficiency and cost affect one another. Thus, it has become imperative to consider both efficiency and cost in order to achieve optimal PEM fuel cell system design. In this, paper, a multi-objective problem to optimize the efficiency and cost of a PEM fuel cell system is formulated. The operating variables considered are: stack temperature, current density, system pressure, hydrogen and air flow rates. An optimum operating condition that will produce 5.76 kW at a cost of 521.9298 US$/kW and an efficiency of 52.2 % was obtained.

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Numerical prediction on an automotive fuel cell driving system

Cited by 22 publications

References 16 publications

Visualization of Fuel Cell Water Transport and Performance Characterization under Freezing Conditions

Visualization of Fuel Cell Water Transport and Performance Characterization under Freezing Conditions

A multi-objective optimisation model for a general polymer electrolyte membrane fuel cell system

Multi-Objective Function Optimization for PEM Fuel Cell System

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