Optimization of fuel cell thermal management system based on back propagation neural network

Two thermal management control strategies, namely flow following current and power mode and back propagation neural network auto-disturbance rejection method, were proposed to solve significant temperature fluctuation problems, long regulation time, and slow response speed in fuel cell ther...

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Bibliographic Details
Main Authors: Ge Qianqian, Wei Cuncun
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2021-01-01
Series:Thermal Science
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2021/0354-98362104975G.pdf

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