Extracting optimal parameters of PEM fuel cells using Salp Swarm Optimizer

By A. El‐Fergany. 2018

296 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/a573ff811976f27ff58501dcd18822c9e02f2cd7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Mohammad Alshinwan
2. Hamzeh Alabool
3. Mohammad Shehab
4. Laith Mohammad Abualigah

In Electrical and Electronic Engineering

1. Laith Mohammad Abualigah
2. Mohammad Alshinwan
3. Hamzeh Alabool
4. Mohammad Shehab
5. A. El‐Fergany

In Renewable Energy, Sustainability and the Environment

1. Mohammad Alshinwan
2. Hamzeh Alabool
3. Mohammad Shehab
4. Laith Mohammad Abualigah
5. A. El‐Fergany

Citations in the corpus

• Salp swarm algorithm: a comprehensive survey (2019, methodology): “SSA is applied in [72] to solve the electrical engineering problem.”
• Parameters extraction of PEMFC's model using manta rays foraging optimizer (2020, background): “Thus, to have higher voltage and current values suiting required applications; several PEMFCs are combined together in series/ parallel.(28,47) The typical I/V polarization curve of the PEMFC has three voltage declines based on the operating region of the cell such as: (a) vact at low current values”