Fitness inheritance-based evolutionary algorithm and its application in hybrid electric vehicle design

Authors:
Li Zhao;Wan-Ke Cao;Yu-Tao He
Affiliations:
National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 10081, China/ Shijiazhuang Vocational Technology Institute, Shijiazhuang 050081, China;National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 10081, China;Shijiazhuang University, Shijiazhuang 050000, China
Venue:
International Journal of Wireless and Mobile Computing
Year:
2014

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Abstract

In this paper, we present a Fitness Inheritance-Based Evolutionary Algorithm FIEA for optimisation of component size and control parameters in designing a Hybrid Electric Vehicle HEV. FIEA is an intelligent optimisation tool for adjusting the component size and the control strategy parameters to minimise the weighted sum of fuel consumption FC and emissions. In this paper, the simulation tool ADVISOR and the driving cycles FTP, ECE-EUDC, and UDDS were used to evaluate FC, emission and dynamic performance. The experimental results show that the FIEA algorithm is a powerful tool in optimising a parallel HEV. At the same time, FC and the emissions can be improved clearly while the performance of the vehicle is not sacrificed.