A review of heavy-duty vehicle powertrain technologies: Diesel engine vehicles, battery electric vehicles, and hydrogen fuel cell electric vehicles

C Cunanan, MK Tran, Y Lee, S Kwok, V Leung… - Clean …, 2021 - mdpi.com
Greenhouse gas emissions from the freight transportation sector are a significant contributor
to climate change, pollution, and negative health impacts because of the common use of …

A review on lifetime prediction of proton exchange membrane fuel cells system

Z Hua, Z Zheng, E Pahon, MC Péra, F Gao - Journal of Power Sources, 2022 - Elsevier
The proton exchange membrane fuel cells (PEMFC) system is a promising eco-friendly
power converter device in a wide range of applications, especially in the transportation area …

Data-driven proton exchange membrane fuel cell degradation predication through deep learning method

R Ma, T Yang, E Breaz, Z Li, P Briois, F Gao - Applied energy, 2018 - Elsevier
Proton exchange membrane fuel cells (PEMFCs) is one of the principal candidates to take
part of the worldwide future clean and renewable energy solution. However, fuel cells are …

Transport (Chapter 10)

P Jaramillo, S Kahn Ribeiro, P Newman, S Dhar… - 2022 - pure.iiasa.ac.at
Meeting climate mitigation goals would require transformative changes in the transport
sector (high confidence). In 2019, direct greenhouse gas (GHG) emissions from the transport …

Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies

M Yue, S Jemei, R Gouriveau, N Zerhouni - International Journal of …, 2019 - Elsevier
Considering the overwhelming pressure on worldwide demand of fossil fuels and the
climate change caused by air pollution, hybrid electric vehicles have seen a promising future …

Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning

W He, T Liu, W Ming, Z Li, J Du, X Li, X Guo… - … and Sustainable Energy …, 2024 - Elsevier
Hydrogen fuel cells are promising power sources that directly transform the chemical energy
produced by the chemical reaction of hydrogen and oxygen into electrical energy. However …

Performance analysis of a degraded PEM fuel cell stack for hydrogen passenger vehicles based on machine learning algorithms in real driving conditions

M Raeesi, S Changizian, P Ahmadi… - Energy Conversion and …, 2021 - Elsevier
Fuel cell degradation is one of the main challenges of hydrogen fuel cell vehicles, which can
be solved by robust prediction techniques like machine learning. In this research, a specific …

Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review

H Liu, J Chen, D Hissel, J Lu, M Hou, Z Shao - Renewable and Sustainable …, 2020 - Elsevier
Prognostics is a promising solution to the short lifetime and high-cost bottlenecks of proton
exchange membrane fuel cells (PEMFCs). The advances of PEMFCs prognostics research …

Remaining useful life prediction of PEMFC systems under dynamic operating conditions

Z Hua, Z Zheng, E Pahon, MC Péra, F Gao - Energy Conversion and …, 2021 - Elsevier
Abstract The Prognostic and Health Management (PHM) has been developed for more than
two decades. It is capable to anticipate the impending failures and make decisions in …

A review on prognostics and health monitoring of proton exchange membrane fuel cell

T Sutharssan, D Montalvao, YK Chen, WC Wang… - … and Sustainable Energy …, 2017 - Elsevier
Fuel cell technology can be traced back to 1839 when British scientist Sir William Grove
discovered that it was possible to generate electricity by the reaction between hydrogen and …