A Novel GA Based Technique for Optimizing Both the Design and Control Parameters in Parallel Passenger Hybrid Cars

摘要

Fuel economy, emissions and performance of the Hybrid Electric Vehicles (HEVs) are greatly affected by Degree of Hybridization (DOH) and control parameters of the vehicle. In this paper, the authors have linked the GA optimization algorithm to the AD VISOR software, for a small parallel hybrid car in order to find the optimal values for DOH and control parameters. In this study, also a new technique has been proposed for deciding about the number of battery modules used in the vehicle, which results in a great improvement in performance of the car. However the proposed methodology takes long time for running the simulations, but, it's simple and at the same time so efficient. Copyright 2011 Praise Worthy Prize S.r.L - All rights reserved.