Flexible and wearable fuel cells: A review of configurations and applications
J Wang, N He, J Fei, Z Ma, Z Ji, Z Chen, N Nie… - Journal of Power …, 2022 - Elsevier
Deformable energy devices play a crucial role in flexible and wearable electronics.
Currently, deformable energy storage devices demonstrate deficiencies, forcing flexible and …
Currently, deformable energy storage devices demonstrate deficiencies, forcing flexible and …
Computational techniques based on artificial intelligence for extracting optimal parameters of PEMFCs: Survey and insights
For the sake of precise simulation, and proper controlling of the performance of the proton
exchange membrane fuel cells (PEMFCs) generating systems, robust and neat …
exchange membrane fuel cells (PEMFCs) generating systems, robust and neat …
Optimal parameter estimation strategy of PEM fuel cell using gradient-based optimizer
The exact parameter estimation of the fuel cell model is considered a critical stage in
delivering a consistent emulation for the fuel cell system characteristics. The aim of this is to …
delivering a consistent emulation for the fuel cell system characteristics. The aim of this is to …
Optimization of PEMFC model parameters using meta-heuristics
The present study introduces an economical–functional design for a polymer electrolyte
membrane fuel cell system. To do so, after introducing the optimization problem and solving …
membrane fuel cell system. To do so, after introducing the optimization problem and solving …
Red-tailed hawk algorithm for numerical optimization and real-world problems
This study suggests a new nature-inspired metaheuristic optimization algorithm called the
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …
red-tailed hawk algorithm (RTH). As a predator, the red-tailed hawk has a hunting strategy …
An enhanced Archimedes optimization algorithm based on Local esca** operator and Orthogonal learning for PEM fuel cell parameter identification
Meta-heuristic optimization algorithms aim to tackle real world problems through maximizing
some specific criteria such as performance, profit, and quality or minimizing others such as …
some specific criteria such as performance, profit, and quality or minimizing others such as …
Thermal-physical modeling and parameter identification method for dynamic model with unmeasurable state in 10-kW scale proton exchange membrane fuel cell …
For proton exchange membrane fuel cell, the accurate physical modeling, involving dynamic
modeling and parameter identification, plays a significant role in simulation and control. The …
modeling and parameter identification, plays a significant role in simulation and control. The …
Novel evolutionary-optimized neural network for predicting landslide susceptibility
In order to mitigate/prevent the risks of landslides, one of the essential tools that can be used
to manage and plan the development of human settlements is landslide susceptibility. The …
to manage and plan the development of human settlements is landslide susceptibility. The …
Precise modeling of PEM fuel cell using a novel Enhanced Transient Search Optimization algorithm
This paper introduces a novel enhancement to the Transient Search Optimization (TSO)
algorithm to estimate an accurate electrical model of the proton exchange membrane fuel …
algorithm to estimate an accurate electrical model of the proton exchange membrane fuel …
Semi-empirical PEM fuel cells model using whale optimization algorithm
The accuracy of the fuel cell model (FC) plays an important role, since it affects the
simulation results. Obviously, this can appear in different systems of distributed generations …
simulation results. Obviously, this can appear in different systems of distributed generations …