Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi
Fuel cell vehicles have the potential to address the problems surrounding the ICE vehicle, without forcing any significant restrictions on vehicle performance, driving range or refueling time. The fuel cells will however need to work at different operating points because of the dynamic load characte...
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| Format: | Book Section |
| Language: | English |
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Institute of Graduate Studies, UiTM
2018
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| Online Access: | https://ir.uitm.edu.my/id/eprint/20551/1/ABS_SUHADIYANA%20HANAPI%20TDRA%20VOL%2013%20IGS%2018.pdf |
| _version_ | 1825735414618521600 |
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| author | Hanapi, Suhadiyana |
| author_facet | Hanapi, Suhadiyana |
| author_sort | Hanapi, Suhadiyana |
| collection | UITM |
| description | Fuel cell vehicles have the potential to address the problems surrounding the ICE vehicle, without forcing any significant restrictions on vehicle performance, driving range or refueling time. The fuel cells will however need to work at different operating points because of the dynamic load characteristic where current is drawn instantaneously from the load source connected to the fuel cell stack during transient conditions. Research on fuel cell vehicle design is therefore imperative in order to improve vehicle performance in term of energy usage and durability, increase efficiency and reduce the fuel costs. This thesis makes a number of key contributions to the advancement of fuel cell vehicle design within two main research areas; powertrain system design based on quality energy, and optimization system based on biology based algorithms. With regards to powertrain design, this research first evaluates the quantitative and qualitative energy efficiency and fuel consumption of the hydrogen fuel cell propulsion system under various system design configuration conditions. Exergy analysis was performed for each type of plant. Three alternative configurations of a vehicle system were considered namely, without DC/DC converter, with DC/DC converter on the supercapacitors side and with DC/DC converter on the PEM fuel cell side. In the process of evaluating the best system configuration, Multi-Criteria Decision Making technique (MCDM) through the Analytical Hierarchy Process (AHP), was used for evaluation, comparison and applicability assessment. The ability to construct accurate mathematical models of real systems is an important part of the control parameters in prototype PEM fuel cell systems for vehicles. Secondly, in this research, an empirical dynamic model of the PEM fuel cell system in vehicles was analyzed and validated using the system identification method… |
| first_indexed | 2024-03-06T01:46:45Z |
| format | Book Section |
| id | uitm.eprints-0551 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T01:46:45Z |
| publishDate | 2018 |
| publisher | Institute of Graduate Studies, UiTM |
| record_format | dspace |
| spelling | uitm.eprints-05512018-07-06T06:02:01Z https://ir.uitm.edu.my/id/eprint/20551/ Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi Hanapi, Suhadiyana Algorithms Fuel cell vehicles have the potential to address the problems surrounding the ICE vehicle, without forcing any significant restrictions on vehicle performance, driving range or refueling time. The fuel cells will however need to work at different operating points because of the dynamic load characteristic where current is drawn instantaneously from the load source connected to the fuel cell stack during transient conditions. Research on fuel cell vehicle design is therefore imperative in order to improve vehicle performance in term of energy usage and durability, increase efficiency and reduce the fuel costs. This thesis makes a number of key contributions to the advancement of fuel cell vehicle design within two main research areas; powertrain system design based on quality energy, and optimization system based on biology based algorithms. With regards to powertrain design, this research first evaluates the quantitative and qualitative energy efficiency and fuel consumption of the hydrogen fuel cell propulsion system under various system design configuration conditions. Exergy analysis was performed for each type of plant. Three alternative configurations of a vehicle system were considered namely, without DC/DC converter, with DC/DC converter on the supercapacitors side and with DC/DC converter on the PEM fuel cell side. In the process of evaluating the best system configuration, Multi-Criteria Decision Making technique (MCDM) through the Analytical Hierarchy Process (AHP), was used for evaluation, comparison and applicability assessment. The ability to construct accurate mathematical models of real systems is an important part of the control parameters in prototype PEM fuel cell systems for vehicles. Secondly, in this research, an empirical dynamic model of the PEM fuel cell system in vehicles was analyzed and validated using the system identification method… Institute of Graduate Studies, UiTM 2018 Book Section PeerReviewed text en https://ir.uitm.edu.my/id/eprint/20551/1/ABS_SUHADIYANA%20HANAPI%20TDRA%20VOL%2013%20IGS%2018.pdf Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi. (2018) In: The Doctoral Research Abstracts. IGS Biannual Publication, 18 (18). Institute of Graduate Studies, UiTM, Shah Alam. |
| spellingShingle | Algorithms Hanapi, Suhadiyana Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi |
| title | Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi |
| title_full | Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi |
| title_fullStr | Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi |
| title_full_unstemmed | Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi |
| title_short | Application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system / Suhadiyana Hanapi |
| title_sort | application of system identification method coupled with evolutionary algorithms for the optimization of power consumption in a pem fuel cell propulsion system suhadiyana hanapi |
| topic | Algorithms |
| url | https://ir.uitm.edu.my/id/eprint/20551/1/ABS_SUHADIYANA%20HANAPI%20TDRA%20VOL%2013%20IGS%2018.pdf |
| work_keys_str_mv | AT hanapisuhadiyana applicationofsystemidentificationmethodcoupledwithevolutionaryalgorithmsfortheoptimizationofpowerconsumptioninapemfuelcellpropulsionsystemsuhadiyanahanapi |