Powertrain Optimization in a Hybrid Electric Bus

Alisina Shojaei, Dani Strickland, D. Scott, M. Tucker, G. Kirkpatrick, Brian J Price, Stephen Luke, J. Richmond

Research output: Contribution to conferencePaper

Abstract

This paper describes the use of a formal optimisation procedure to optimise a plug-in hybrid electric bus using two different case studies to meet two different performance criteria; minimum journey cost and maximum battery life. The approach is to choose a commercially available vehicle and seek to improve its performance by varying key design parameters. Central to this approach is the ability to develop a representative backward facing model of the vehicle in MATLAB/Simulink along with appropriate optimisation objective and penalty functions. The penalty functions being the margin by which a particular design fails to meet the performance specification. The model is validated against data collected from an actual vehicle and is used to estimate the vehicle performance parameters in a model-in-the-loop process within an optimisation routine. For the purposes of this paper, the journey cost/battery life over a drive cycle is optimised whilst other performance indices are met (or exceeded). Among the available optimisation methods, Powell's method and Simulated Annealing are adopted. The results show this method as a valid alternative modelling approach to vehicle powertrain optimisation.
Original languageEnglish
Publication statusPublished - 1 Feb 2013
Event2012 IEEE Vehicle Power and Propulsion Conference - Seoul, Korea, Democratic People's Republic of
Duration: 9 Oct 201212 Oct 2012

Conference

Conference2012 IEEE Vehicle Power and Propulsion Conference
Abbreviated titleVPPC 2012
CountryKorea, Democratic People's Republic of
CitySeoul
Period9/10/1212/10/12

Bibliographical note

Publisher: IEEE.

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