Component sizing of a plug-in hybrid electric vehicle powertrain, Part B: coupling bee-inspired metaheuristics to ensemble of local neuro-fuzzy radial basis identifiers
by Ahmad Mozaffari; Maryyeh Chehresaz; Nasser L. Azad
International Journal of Bio-Inspired Computation (IJBIC), Vol. 6, No. 5, 2014

Abstract: In this paper, the authors investigate the potentials of an aggregated cooperative intelligent approach to optimise the size of components of a plug-in hybrid electric vehicle (PHEV) powertrain. The intelligent model consists of a set of modular local neuro-fuzzy radial basis identifiers. These intelligent tools are finally incorporated to develop a global identifier called ensemble neuro-fuzzy radial basis network (ENFRBN). The resulted global identifier synchronously uses the local maps to predict the fuel consumption (FC) rate of a PHEV for a specific drive cycle. To do so, an experimental/simulative sampling process was performed in smart hybrid and electric vehicle system laboratory at the University of Waterloo to create a database including a set of input/output pairs. After extracting knowledge from prepared database, the authors use two well-known bee-inspired heuristic algorithms, i.e., bee algorithm (BA) and artificial bee colony (ABC) to reach a compromise on optimal size of PHEV components.

Online publication date: Sat, 08-Nov-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com