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

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.