Title: 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

Authors: Ahmad Mozaffari; Maryyeh Chehresaz; Nasser L. Azad

Addresses: Systems Design Engineering Department, University of Waterloo, N2L 3G1, Ontario, Canada ' Systems Design Engineering Department, University of Waterloo, N2L 3G1, Ontario, Canada ' Systems Design Engineering Department, University of Waterloo, N2L 3G1, Ontario, Canada

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.

Keywords: plug-in HEVs; PHEVs; hybrid electric vehicles; HEV powertrain; bee-inspired metaheuristics; ensemble computing; computational intelligence; neuro-fuzzy identifiers; neural networks; fuzzy logic; component sizing; fuel consumption; bio-inspired computation; optimisation; bee algorithm; artificial bee colony; ABC.

DOI: 10.1504/IJBIC.2014.065596

International Journal of Bio-Inspired Computation, 2014 Vol.6 No.5, pp.303 - 321

Received: 29 May 2013
Accepted: 08 Feb 2014
Published online: 08 Nov 2014 *

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