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...

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Main Authors:	Mangun, Firdause, Mahmoud Idres, Moumen Mohammed, Abdullah, Kassim Abdulrahman,
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Physics Publishing 2017
Subjects:	TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics
Online Access:	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

id	iium-56767
recordtype	eprints
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 Conference or Workshop Item 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General) TL Motor vehicles. Aeronautics. Astronautics
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
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.
format	Conference or Workshop Item
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
title	Design optimization of a hybrid electric vehicle powertrain
title_short	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_sort	design optimization of a hybrid electric vehicle powertrain
publisher	Institute of Physics Publishing
publishDate	2017
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
first_indexed	2023-09-18T21:20:09Z
last_indexed	2023-09-18T21:20:09Z
_version_	1777411827859193856

Design optimization of a hybrid electric vehicle powertrain

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