Intelligent control and look-ahead energy management of hybrid electric vehicles


Autoria(s): Ganji, Behnam
Contribuinte(s)

Kouzani Abbas

Data(s)

01/09/2012

Resumo

A review of the state of knowledge in the field of control and energy management in HEVs is carried out. The key innovation of the project is the development of a model of a PHEV using the real road data with an intelligent look-ahead online controller. Another novelty of this work is the method of route planning. It combines the information of vehicle sensors such as accelerometer and speedometer with the data of a GPS to create a road grade map for use within the look-ahead energy management strategy in the vehicle. For the PHEV, an adaptive cruise controller is modelled and an optimisation method is applied to obtain the best speed profile during a trajectory. Finally, the nonlinear model of the vehicle is applied with the sliding mode controller. The effect of using this controller is compared with the universal cruise controller. The stability of the system is studied and proved.

Identificador

http://hdl.handle.net/10536/DRO/DU:30056797

Idioma(s)

eng

Publicador

Deakin University, Faculty of Science, Engineering and Built Environment, School of Engineering

Relação

http://dro.deakin.edu.au/eserv/DU:30056797/ganji-agreement-2013.pdf

http://dro.deakin.edu.au/eserv/DU:30056797/ganji-intelligentcontrol-2013A.pdf

Direitos

The Author. All Rights Reserved

Palavras-Chave #Hybrid electric vehicles #Automotive engineering
Tipo

Thesis