Design of magnetic flywheel control for performance improvement of fuel cells used in vehicles
Autor: | Chung-Neng Huang, Yui-Sung Chen |
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Rok vydání: | 2017 |
Předmět: |
Engineering
business.industry 020209 energy Mechanical Engineering 020208 electrical & electronic engineering PID controller 02 engineering and technology Building and Construction Pollution Industrial and Manufacturing Engineering Flywheel Automotive engineering Energy storage Power (physics) General Energy Control theory 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Performance improvement business Simulation Driving cycle Civil and Structural Engineering Efficient energy use |
Zdroj: | Energy. 118:840-852 |
ISSN: | 0360-5442 |
DOI: | 10.1016/j.energy.2016.10.112 |
Popis: | Because hydrogen can be extracted naturally and stored for a long time, different types of fuel cells have been developed to generate clean power, particularly for use in vehicles. However, the power demand of a running vehicle leads to unstable and irregular loading of fuel cells. This not only reduces fuel cell lifespan and efficiency but also affects driving safety when the slow output response cannot satisfy an abrupt increase in power demand. Magnetic flywheels with characteristics such as high energy density, high-speed charging ability, and low loss have been extensively used in Formula One cars. This study developed a hybrid powertrain in which a magnetic flywheel system (MFS) is integrated with the fuel cells to solve the aforementioned problems. Moreover, an auto-tuning proportional–integral–derivative (PID) controller based on the controls of a multiple adaptive neuro-fuzzy interference system and particle swarm optimization was designed for MFS control. Furthermore, MATLAB/Simulink simulations considering an FTP-75 urban driving cycle were conducted, and a variability improvement of approximately 27.3% in fuel cell output was achieved. |
Databáze: | OpenAIRE |
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