Multi-physics-resolved digital twin of proton exchange membrane fuel cells with a data-driven surrogate model-Reference-Cited by-同舟云学术

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Multi-physics-resolved digital twin of proton exchange membrane fuel cells with a data-driven surrogate model

Published:2020-08 Issue: Volume:1 Page:100004
ISSN:2666-5468
Container-title:Energy and AI
language:en
Short-container-title:Energy and AI

Author:

Wang Bowen,Zhang Guobin,Wang Huizhi,Xuan Jin,Jiao Kui

Funder

National Natural Science Foundation of China

UK Royal Society

Natural Science Foundation of Tianjin

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Energy,Engineering (miscellaneous)

Reference47 articles.

1. Current status of automotive fuel cells for sustainable;Pollet;Curr Opin Electrochem.,2019

2. Batteries and fuel cells for emerging electric vehicle markets;Cano;Nat Energy,2018

3. Durable and self-hydrating tungsten carbide-based composite polymer electrolyte membrane fuel cells;Zheng;Nat Commun,2017

4. Current status and future outlook of fuel cell vehicle development in Toyota;Kojima;ECS Trans,2015

5. Materials, technological status, and fundamentals of PEM fuel cells – A review;Wang;Mater Today,2020

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