Optimization of the flow channel in proton exchange membrane fuel cells using multi-regression surrogate model based on artificial neural network-Reference-Cited by-同舟云学术

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Optimization of the flow channel in proton exchange membrane fuel cells using multi-regression surrogate model based on artificial neural network

Published:2024-09 Issue: Volume:157 Page:107808
ISSN:0735-1933
Container-title:International Communications in Heat and Mass Transfer
language:en
Short-container-title:International Communications in Heat and Mass Transfer

Author:

Pak Seong Bae,Kim Jin Beom,Park Il Seouk

Funder

Ministry of Education

Korea Evaluation Institute of Industrial Technology

Ministry of Trade, Industry and Energy

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference43 articles.

1. Three-dimensional multi-phase simulation of cooling patterns for proton exchange membrane fuel cell based on a modified Bruggeman equation;Liu;Appl. Therm. Eng.,2020

2. Experimental study of PEM fuel cell temperature characteristic and corresponding automated optimal temperature calibration model;Tang;Energy,2023

3. Combined effects of flow channel configuration and operating conditions on PEM fuel cell performance;Pan;Energy Convers. Manag.,2020

4. Concepts for preventing metal dissolution from stainless-steel bipolar plates in PEM fuel cells;Novalin;Energy Convers. Manag.,2022

5. Investigation of output performance and temperature distribution uniformity of PEMFC based on Pt loading gradient design;Wei;Appl. Energy,2023

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