Development of a Hydrogen Flow Meter With High Accuracy at Low Flow Rates to Measure Fuel Consumption for Fuel Cell Vehicles

2009 ◽  
Author(s):  
Asao Uenodai ◽  
Steve Mathison ◽  
David Cun ◽  
Ryan Harty
Keyword(s):  
Fuel Cell ◽  
Fuel Consumption ◽  
High Accuracy ◽  
Low Flow ◽  
Fuel Cell Vehicles ◽  
Flow Meter ◽  
Flow Rates ◽  
Hydrogen Flow

Development of Fuel Consumption Measurement Methods for Hydrogen Fuel Cell Vehicles

2006 ◽  
Author(s):  
Eiji Kuroda ◽  
Kenzo Moriya ◽  
Masaru Yano ◽  
Shogo Watanabe ◽  
Hidenori Hirata ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Fuel Consumption ◽  
Measurement Methods ◽  
Fuel Cell Vehicles ◽  
Hydrogen Fuel Cell ◽  
Hydrogen Fuel ◽  
Hydrogen Fuel Cell Vehicles

scholarly journals Optimization of Fuel Cell Hybrid Electric Vehicle Parameters.

2020 ◽  
pp. 89-96
Author(s):  
Zahraa Salam Dawood ◽  
Sadiq M. Ihmood
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Fuel Cell ◽  
Fuel Consumption ◽  
Hybrid Electric Vehicle ◽  
Fossil Fuel ◽  
Fuel Cell Vehicles ◽  
Swarm Optimization ◽  
The World ◽  
Result Show

The emission that caused by fossil fuel and the constantly increasing pollution rates made the engineers and researchers focus on using hydrogen as a fuel instead of fossil fuel. Fuel cells are one of the technologies that are widely explored all over the world. Fuel cell vehicles are environmentally friendly and use hydrogen as fuel and generate zero emissions. Optimization strategies is the best way for identify the best solution to the design issue. In this workwe will use particle swarm optimization and genetic algorithm to optimize the obtained model. The result show that the best choice between the three accebtablecases is case 5 because in this case the fuel consumption is 2.7668 Litter/100 km which is lower than the fuel consumption

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