Design optimization of a hybrid electric vehicle powertrain
This paper presents an optimization work on hybrid electric vehicle (HEV) powertrain using Genetic Algorithm (GA) method. It focused on optimization of the parameters of powertrain components including supercapacitors to obtain maximum fuel economy. Vehicle modelling is based on Quasi-Static-Simula...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Institute of Physics Publishing
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/56767/ http://irep.iium.edu.my/56767/1/56767_Design%20Optimization%20of%20a%20Hybrid_complete.pdf http://irep.iium.edu.my/56767/7/56767_Design%20Optimization%20of%20a%20Hybrid_SCOPUS.pdf |
| _version_ | 1848784805480628224 |
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| author | Mangun, Firdause Mahmoud Idres, Moumen Mohammed Abdullah, Kassim Abdulrahman , |
| author_facet | Mangun, Firdause Mahmoud Idres, Moumen Mohammed Abdullah, Kassim Abdulrahman , |
| author_sort | Mangun, Firdause |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper presents an optimization work on hybrid electric vehicle (HEV) powertrain using Genetic Algorithm (GA) method. It focused on optimization of the
parameters of powertrain components including supercapacitors to obtain maximum fuel economy. Vehicle modelling is based on Quasi-Static-Simulation (QSS) backward-facing approach. A combined city (FTP-75)-highway (HWFET) drive cycle is utilized for the design
process. Seeking global optimum solution, GA was executed with different initial settings to obtain sets of optimal parameters. Starting from a benchmark HEV, optimization results in a smaller engine (2 l instead of 3 l) and a larger battery (15.66 kWh instead of 2.01 kWh). This
leads to a reduction of 38.3% in fuel consumption and 30.5% in equivalent fuel consumption.
Optimized parameters are also compared with actual values for HEV in the market. |
| first_indexed | 2025-11-14T16:43:05Z |
| format | Proceeding Paper |
| id | iium-56767 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:43:05Z |
| publishDate | 2017 |
| publisher | Institute of Physics Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-567672017-06-09T00:53:53Z http://irep.iium.edu.my/56767/ Design optimization of a hybrid electric vehicle powertrain Mangun, Firdause Mahmoud Idres, Moumen Mohammed Abdullah, Kassim Abdulrahman , TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics This paper presents an optimization work on hybrid electric vehicle (HEV) powertrain using Genetic Algorithm (GA) method. It focused on optimization of the parameters of powertrain components including supercapacitors to obtain maximum fuel economy. Vehicle modelling is based on Quasi-Static-Simulation (QSS) backward-facing approach. A combined city (FTP-75)-highway (HWFET) drive cycle is utilized for the design process. Seeking global optimum solution, GA was executed with different initial settings to obtain sets of optimal parameters. Starting from a benchmark HEV, optimization results in a smaller engine (2 l instead of 3 l) and a larger battery (15.66 kWh instead of 2.01 kWh). This leads to a reduction of 38.3% in fuel consumption and 30.5% in equivalent fuel consumption. Optimized parameters are also compared with actual values for HEV in the market. Institute of Physics Publishing 2017-04-03 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/56767/1/56767_Design%20Optimization%20of%20a%20Hybrid_complete.pdf application/pdf en http://irep.iium.edu.my/56767/7/56767_Design%20Optimization%20of%20a%20Hybrid_SCOPUS.pdf Mangun, Firdause and Mahmoud Idres, Moumen Mohammed and Abdullah, Kassim Abdulrahman and UNSPECIFIED (2017) Design optimization of a hybrid electric vehicle powertrain. In: 3rd International Conference on Mechanical, Automotive and Aerospace Engineering, ICMAAE 2016, 25th-27th July 2016, Kulliyyah of Engineering, IIUM, Kuala Lumpur. http://iopscience.iop.org/article/10.1088/1757-899X/184/1/012024 10.1088/1757-899X/184/1/012024 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics Mangun, Firdause Mahmoud Idres, Moumen Mohammed Abdullah, Kassim Abdulrahman , Design optimization of a hybrid electric vehicle powertrain |
| title | Design optimization of a hybrid electric vehicle powertrain |
| title_full | Design optimization of a hybrid electric vehicle powertrain |
| title_fullStr | Design optimization of a hybrid electric vehicle powertrain |
| title_full_unstemmed | Design optimization of a hybrid electric vehicle powertrain |
| title_short | Design optimization of a hybrid electric vehicle powertrain |
| title_sort | design optimization of a hybrid electric vehicle powertrain |
| topic | TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics |
| url | http://irep.iium.edu.my/56767/ http://irep.iium.edu.my/56767/ http://irep.iium.edu.my/56767/ http://irep.iium.edu.my/56767/1/56767_Design%20Optimization%20of%20a%20Hybrid_complete.pdf http://irep.iium.edu.my/56767/7/56767_Design%20Optimization%20of%20a%20Hybrid_SCOPUS.pdf |