[HTML][HTML] An adaptative approach for estimating the remaining useful life of a heavy-duty fuel cell vehicle
The aim of this paper is to predict the remaining useful lifetime without prior knowledge of
the load profile of a heavy duty vehicle. To achieve this, the data is indexed by cumulative …
the load profile of a heavy duty vehicle. To achieve this, the data is indexed by cumulative …
Amorphous Iridium Oxide-Integrated Anode Electrodes with Ultrahigh Material Utilization for Hydrogen Production at Industrial Current Densities
Herein, ionomer-free amorphous iridium oxide (IrO x) thin electrodes are first developed as
highly active anodes for proton exchange membrane electrolyzer cells (PEMECs) via low …
highly active anodes for proton exchange membrane electrolyzer cells (PEMECs) via low …
[HTML][HTML] Cross-domain diagnosis for polymer electrolyte membrane fuel cell based on digital twins and transfer learning network✰
Existing research on fault diagnosis for polymer electrolyte membrane fuel cells (PEMFC)
has advanced significantly, yet performance is hindered by variations in data distributions …
has advanced significantly, yet performance is hindered by variations in data distributions …
PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery
Z Dong, M Yang, J Wang, H Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Remaining useful life (RUL) early prediction of lithium-ion battery is crucial to develop
advanced battery health management and complete security assessment. However, most of …
advanced battery health management and complete security assessment. However, most of …