Modeling and optimization of hydrogen fast filling process with cascade storage system
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Abstract:
Due to the rapid compression and the Joule-Thompson effect of hydrogen during fast filling process, the internal temperature of the cylinder rises sharply, which may lead to hidden safety hazards. In this study, a mathematical model of a cascade storage system was developed to analyze the temperature rise in hydrogen cylinders under different working conditions. Results show that the pressure switching coefficient of the cascade storage system has a significant effect on the filling time, and the pre-cooling of hydrogen has a significant impact on the final temperature and the states of charge (SOC) of the cylinder. Based on these results, a multi-objective optimization algorithm was proposed to optimize the above two controllable variables, taking filling time, energy consumption and SOC within cylinders as optimizing objectives. The results show that the optimized method can significantly decrease the energy consumption, improve SOC and allow acceptable refueling time.
