Powertrain optimisation in a hybrid electric bus

A. Shojaei*, D. Strickland, D. Scott, M. Tucker, G. Kirkpatrick, B. Price, S. Luke, J. Richmond

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publication2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012
PublisherIEEE
Pages857-862
Number of pages6
ISBN (Print)978-1-4673-0953-0, 978-1-4673-0954-7
DOIs
Publication statusPublished - 2012
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

Fingerprint

Powertrains
Vehicle performance
Simulated annealing
MATLAB
Costs
Specifications

Keywords

  • component sizing
  • hybrid electric vehicles
  • Model-in-the-Loop
  • Powell's method
  • Powertrain optimisation
  • simulated annealing

Cite this

Shojaei, A., Strickland, D., Scott, D., Tucker, M., Kirkpatrick, G., Price, B., ... Richmond, J. (2012). Powertrain optimisation in a hybrid electric bus. In 2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012 (pp. 857-862). IEEE. https://doi.org/10.1109/VPPC.2012.6422727
Shojaei, A. ; Strickland, D. ; Scott, D. ; Tucker, M. ; Kirkpatrick, G. ; Price, B. ; Luke, S. ; Richmond, J. / Powertrain optimisation in a hybrid electric bus. 2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012. IEEE, 2012. pp. 857-862
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Shojaei, A, Strickland, D, Scott, D, Tucker, M, Kirkpatrick, G, Price, B, Luke, S & Richmond, J 2012, Powertrain optimisation in a hybrid electric bus. in 2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012. IEEE, pp. 857-862, 2012 IEEE Vehicle Power and Propulsion Conference, Seoul, Korea, Democratic People's Republic of, 9/10/12. https://doi.org/10.1109/VPPC.2012.6422727

Powertrain optimisation in a hybrid electric bus. / Shojaei, A.; Strickland, D.; Scott, D.; Tucker, M.; Kirkpatrick, G.; Price, B.; Luke, S.; Richmond, J.

2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012. IEEE, 2012. p. 857-862.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Shojaei A, Strickland D, Scott D, Tucker M, Kirkpatrick G, Price B et al. Powertrain optimisation in a hybrid electric bus. In 2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012. IEEE. 2012. p. 857-862 https://doi.org/10.1109/VPPC.2012.6422727