Optimization of Inlet Hydrogen Temperature during the Fast-Filling Process Based on a Back Propagation Neural Network Model

Optimization of Inlet Hydrogen Temperature during the Fast-Filling Process Based on a Back Propagation Neural Network Model

A reasonable inflating strategy must be developed for filling an onboard hydrogen storage tank with hydrogen gas. The inflow hydrogen temperature has always been a constant value in filling cases. However, in our opinion, the optimal inflow hydrogen temperature is not supposed to be a fixed value bu...

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Bibliographic Details
Main Authors: Xu Wang, Chun Hui, Dongwei Liu, Shanshan Deng, Pang-Chieh Sui
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Energies
Subjects:
hydrogen filling
hydrogen safety
BP neural network model
prediction
optimization
Online Access:https://www.mdpi.com/1996-1073/17/7/1569

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https://www.mdpi.com/1996-1073/17/7/1569

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