Powertrain optimisation in a hybrid electric bus

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

doi:10.1109/VPPC.2012.6422727

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/Published conference output › Conference publication

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 language	English
Title of host publication	2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012
Publisher	IEEE
Pages	857-862
Number of pages	6
ISBN (Print)	978-1-4673-0953-0, 978-1-4673-0954-7
DOIs	https://doi.org/10.1109/VPPC.2012.6422727
Publication status	Published - 2012
Event	2012 IEEE Vehicle Power and Propulsion Conference - Seoul, Korea, Democratic People's Republic of Duration: 9 Oct 2012 → 12 Oct 2012

Conference

Conference	2012 IEEE Vehicle Power and Propulsion Conference
Abbreviated title	VPPC 2012
Country/Territory	Korea, Democratic People's Republic of
City	Seoul
Period	9/10/12 → 12/10/12

Keywords

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

Access to Document

10.1109/VPPC.2012.6422727

Cite this

@inproceedings{603bbceee0704192b42d278782859fc7,

title = "Powertrain optimisation in a hybrid electric bus",

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.",

keywords = "component sizing, hybrid electric vehicles, Model-in-the-Loop, Powell's method, Powertrain optimisation, simulated annealing",

author = "A. Shojaei and D. Strickland and D. Scott and M. Tucker and G. Kirkpatrick and B. Price and S. Luke and J. Richmond",

year = "2012",

doi = "10.1109/VPPC.2012.6422727",

language = "English",

isbn = "978-1-4673-0953-0",

pages = "857--862",

booktitle = "2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012",

publisher = "IEEE",

address = "United States",

note = "2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012 ; Conference date: 09-10-2012 Through 12-10-2012",

}

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

TY - GEN

T1 - Powertrain optimisation in a hybrid electric bus

AU - Shojaei, A.

AU - Strickland, D.

AU - Scott, D.

AU - Tucker, M.

AU - Kirkpatrick, G.

AU - Price, B.

AU - Luke, S.

AU - Richmond, J.

PY - 2012

Y1 - 2012

N2 - 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.

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.

KW - component sizing

KW - hybrid electric vehicles

KW - Model-in-the-Loop

KW - Powell's method

KW - Powertrain optimisation

KW - simulated annealing

UR - http://www.scopus.com/inward/record.url?scp=84874424924&partnerID=8YFLogxK

UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6422727

U2 - 10.1109/VPPC.2012.6422727

DO - 10.1109/VPPC.2012.6422727

M3 - Conference publication

AN - SCOPUS:84874424924

SN - 978-1-4673-0953-0

SN - 978-1-4673-0954-7

SP - 857

EP - 862

BT - 2012 IEEE Vehicle Power and Propulsion Conference, VPPC 2012

PB - IEEE

T2 - 2012 IEEE Vehicle Power and Propulsion Conference

Y2 - 9 October 2012 through 12 October 2012

ER -

Powertrain optimisation in a hybrid electric bus

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this