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 …

A fuel cell is a power generation device that directly converts chemical energy into electrical
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …

For the development of low-temperature power systems in aviation, the transport synergistic
carrier optimization of lithium-ions and electrons is conducted to improve the low …

Recent developments in maintenance modelling fueled by data-based approaches such as
machine learning (ML), have enabled a broad range of applications. In the automotive …

For optimizing the performance of the proton exchange membrane fuel cells (PEMFCs), the I–
V polarization curve is generally used as an important evaluation metric, which can …

An energy management strategy (EMS) is responsible for distributing the power between the
electrochemical power sources of a fuel cell hybrid electric vehicle (FCHEV) with a view to …

Short-term performance degradation prediction is significant for fuel cell system control and
health management. This paper presents a hybrid deep learning method by combining the …

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 …

Accurate and reliable coal price prediction is of great significance to enhance the stability of
the coal market. Numerous methods have been developed to improve the prediction …

Performance degradation prediction is an effective method to improve the durability of
proton exchange membrane fuel cell (PEMFC). In this study, a hybrid deep learning model …