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Design optimization of a hybrid electric vehicle powertrain

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 5827/56767
Uncontrolled Keywords: Design optimizatio; Hybrid; Electric vehicle powertrain
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Dr Moumen Idres
Date Deposited: 08 Jun 2017 13:50
Last Modified: 09 Jun 2017 00:53
URI: http://irep.iium.edu.my/id/eprint/56767

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