| dc.creator |
Bao, Songjian |
|
| dc.creator |
Ebadi, Abdolghaffar |
|
| dc.creator |
Toughani, Mohsen |
|
| dc.creator |
DALLE, JUHRIYANSYAH |
|
| dc.creator |
Maseleno, Andino |
|
| dc.creator |
Baharuddin, Baharuddin |
|
| dc.creator |
Yıldızbası, Abdullah |
|
| dc.date.accessioned |
2020-06-15T04:11:20Z |
|
| dc.date.available |
2020-06-15T04:11:20Z |
|
| dc.identifier |
http://eprints.ulm.ac.id/9261/1/1.c.5-Hydrogen_Journal_Paper.pdf |
|
| dc.identifier |
Bao, Songjian and Ebadi, Abdolghaffar and Toughani, Mohsen and DALLE, JUHRIYANSYAH and Maseleno, Andino and Baharuddin, Baharuddin and Yıldızbası, Abdullah A new method for optimal parameters identification of a PEMFC using an improved version of Monarch Butterfly Optimization Algorithm. Hydrogen Energy Publications LLC. |
|
| dc.identifier.uri |
https://repo-dosen.ulm.ac.id//handle/123456789/14133 |
|
| dc.description |
In this paper, a circuit-based model of proton exchange membrane fuel cell (PEMFC) is
developed for optimal selection of the model parameters. The optimization is based on
using an improved version of Monarch Butterfly Optimization (IMBO) algorithm for minimizing
the Integral Time Absolute Error between the measured output voltage and the
output voltage of the achieved model. For validation of the proposed method, two different
case studies including 6 kW NedSstack PS6 and 2 kW Nexa FC PEMFC stacks have been
employed and the results have been compared with the experimental data and some wellknown
metaheuristics including Chaotic Grasshopper Optimization Algorithm (CGOA),
Grass Fibrous Root Optimization Algorithm (GRA), and basic Monarch Butterfly Optimization
(MBO) to indicate the superiority of the proposed method against the compared
methods. Final results show a satisfying agreement between the proposed IMBO and the
experimental data. |
|
| dc.format |
text |
|
| dc.publisher |
Elsevier |
|
| dc.relation |
http://eprints.ulm.ac.id/9261/ |
|
| dc.subject |
L Education (General) |
|
| dc.title |
A new method for optimal parameters identification of a PEMFC using an improved version of Monarch Butterfly Optimization Algorithm |
|
| dc.type |
Article |
|
| dc.type |
PeerReviewed |
|