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 …

The proton exchange membrane (PEM) fuel cell is an ideal automotive power source with
great potential, owing to its high efficiency and zero emissions. However, the durability and …

Accurate state of health estimation of lithium-ion batteries is essential to enhance the
reliability and safety of a battery system. However, the estimation accuracy based on a data …

With the rapid advancement of technology in the energy sector and the demand for
sustainable energy practices, the world is aiming at fostering the hydrogen economy and …

Batteries are prevalent energy providers for modern systems. They can also be regarded as
storage units for renewable and sustainable energy. Failures of batteries can bring huge …

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 …

Currently, the larger-scaled commercialization of fuel cell technology is considerably
impeded by the limited durability of fuel cells. Prognostics and health management (PHM) is …

Achieving the desired accuracy in time series forecasting has become a binding domain,
and develo** a forecasting framework with a high degree of accuracy is one of the most …

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 …

Accurate remaining useful life (RUL) prediction is of great importance for predictive
maintenance. With the recent advancements in sensor technology and artificial intelligence …