A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries

K Luo, X Chen, H Zheng, Z Shi - Journal of Energy Chemistry, 2022‏ - Elsevier
In the field of energy storage, it is very important to predict the state of charge and the state of
health of lithium-ion batteries. In this paper, we review the current widely used equivalent …

A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring

W Ming, P Sun, Z Zhang, W Qiu, J Du, X Li… - International Journal of …, 2023‏ - Elsevier
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 …

Energy management strategies, control systems, and artificial intelligence-based algorithms development for hydrogen fuel cell-powered vehicles: A review

TL Oladosu, J Pasupuleti, TS Kiong, SPJ Koh… - International Journal of …, 2024‏ - Elsevier
Hydrogen fuel cell electric vehicles (HFCEVs) are gaining revived attention due to the
HFCEVs promising potential as important syndicates to net zero carbon emission …

Deep neural network-based hybrid modeling and experimental validation for an industry-scale fermentation process: Identification of time-varying dependencies …

P Shah, MZ Sheriff, MSF Bangi, C Kravaris… - Chemical Engineering …, 2022‏ - Elsevier
Kinetic modeling of fermentation processes is difficult due to the use of micro-organisms that
follow complex reaction mechanisms. Kinetic models are usually not perfect owing to …

[HTML][HTML] Analysis of solid oxide fuel and electrolysis cells operated in a real-system environment: State-of-the-health diagnostic, failure modes, degradation mitigation …

V Subotić, C Hochenauer - Progress in Energy and Combustion Science, 2022‏ - Elsevier
Solid oxide cells (SOC) play a major role in strategic visions to achieve decarbonization and
climate-neutrality. With its multifuel capability, this technology has received rapidly growing …

Performance improvement of solid oxide fuel cells by combining three-dimensional CFD modeling, artificial neural network and genetic algorithm

G Xu, Z Yu, L **a, C Wang, S Ji - Energy Conversion and Management, 2022‏ - Elsevier
Solid oxide fuel cell (SOFC) is the electrochemical device that directly convert the chemical
energy of fuels into electrical energy, which are considered one of the promising methods for …

Simulation study on the PEMFC oxygen starvation based on the coupling algorithm of model predictive control and PID

Y Wang, H Li, H Feng, K Han, S He, M Gao - Energy Conversion and …, 2021‏ - Elsevier
The frequent variable load operation of Proton exchange membrane fuel cell (PEMFC) may
cause the mismatch with the hysteresis of gas flow and diffusion, which will lead to oxygen …

Comprehensive review of chromium deposition and poisoning of solid oxide fuel cells (SOFCs) cathode materials

L Zhou, JH Mason, W Li, X Liu - Renewable and Sustainable Energy …, 2020‏ - Elsevier
A solid oxide fuel cell (SOFC) is a clean and efficient energy conversion device. The
development of intermediate-temperature SOFCs has made it preferable to use metallic …

Design and performance optimization of a direct ammonia planar solid oxide fuel cell for high electrical efficiency

A Omer, I Rahimipetroudi, K Rashid, JB Yang… - Journal of Power …, 2023‏ - Elsevier
Achieving higher efficiency of direct ammonia solid oxide fuel cells (DA-SOFC) requires high
compatibility between cell design and temperature distribution during NH 3 decomposition …

Water management issues during load cycling under high temperature and low humidity conditions relevant for heavy-duty applications of PEMFC

Y Shao, L Xu, L Xu, X Zhang, Z Wang, G Zhao, Z Hu… - eTransportation, 2023‏ - Elsevier
To meet the increased requirements for efficiency and compactness of the Polymer
Electrolyte Membrane Fuel Cell (PEMFC) system for heavy-duty vehicles (HDVs) …