Design Optimization of a Hybrid Electric Vehicle Powertrain

3rd International Conference on Mechanical, Automotive and Aerospace Engineering 2016

机械制造;无线电电子学;航空航天工程

Mangun, Firdause^1 ; Idres, Moumen^1 ; Abdullah, Kassim^1

Department of Mechanical Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, P.O. Box 10, Kuala Lumpur

50728, Malaysia^1

关键词: Design optimization;    Equivalent fuel consumption;    Global optimum solutions;    Hybrid electric vehicle (HEV);    Optimal parameter;    Optimized parameter;    Powertrain components;    Vehicle modelling;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/184/1/012024/pdf
DOI  :  10.1088/1757-899X/184/1/012024

学科分类：航空航天科学

来源: IOP

【 摘 要 】

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.