Lap time simulation and design optimisation of a brushed DC electric motorcycle for the Isle of Man TT Zero Challenge
Lap time simulation and design optimisation of a brushed DC electric motorcycle for the Isle of Man TT Zero Challenge
This works regards the design of an electric motorcycle for the annual Isle of Man TT Zero Challenge. Optimal control theory was used to perform lap time simulation and design optimisation. A bespoked model was developed, featuring 3D road topology, vehicle dynamics and electric power train, composed of a lithium battery pack, brushed DC motors and motor controller. The model runs simulations over the entire or of the Snaefell Mountain Course. The work is validated using experimental data from the BX chassis of the Brunel Racing team, which ran during the 2009 to 2015 TT Zero races. Optimal control is used to improve drive train and power train configurations. Findings demonstrate computational efficiency, good lap time prediction and design optimisation potential, achieving a 2 minutes reduction of the reference lap time through changes in final drive gear ratio, battery pack size and motor configuration.
Electric vehicles, Motorycles, optimal design, optimal control
27-54
Dal Bianco, Nicola
8bd1d29c-cce5-407d-82c5-e88504417658
Lot, Roberto
ceb0ca9c-6211-4051-a7b8-90fd6f0a6d78
Matthys, Koen
633367d9-2bd8-4698-b80d-acff46882eae
January 2018
Dal Bianco, Nicola
8bd1d29c-cce5-407d-82c5-e88504417658
Lot, Roberto
ceb0ca9c-6211-4051-a7b8-90fd6f0a6d78
Matthys, Koen
633367d9-2bd8-4698-b80d-acff46882eae
Dal Bianco, Nicola, Lot, Roberto and Matthys, Koen
(2018)
Lap time simulation and design optimisation of a brushed DC electric motorcycle for the Isle of Man TT Zero Challenge.
Vehicle System Dynamics, 56 (1), .
(doi:10.1080/00423114.2017.1342847).
Abstract
This works regards the design of an electric motorcycle for the annual Isle of Man TT Zero Challenge. Optimal control theory was used to perform lap time simulation and design optimisation. A bespoked model was developed, featuring 3D road topology, vehicle dynamics and electric power train, composed of a lithium battery pack, brushed DC motors and motor controller. The model runs simulations over the entire or of the Snaefell Mountain Course. The work is validated using experimental data from the BX chassis of the Brunel Racing team, which ran during the 2009 to 2015 TT Zero races. Optimal control is used to improve drive train and power train configurations. Findings demonstrate computational efficiency, good lap time prediction and design optimisation potential, achieving a 2 minutes reduction of the reference lap time through changes in final drive gear ratio, battery pack size and motor configuration.
Text
Dal Bianco, Lot & Matthys: Lap time simulation and design optimisation of an electric motorbike on the Tourist Trophy circuit
- Accepted Manuscript
More information
Accepted/In Press date: 11 June 2017
e-pub ahead of print date: 20 July 2017
Published date: January 2018
Keywords:
Electric vehicles, Motorycles, optimal design, optimal control
Organisations:
Energy Technology Group
Identifiers
Local EPrints ID: 411613
URI: http://eprints.soton.ac.uk/id/eprint/411613
ISSN: 1744-5159
PURE UUID: e2775965-41f4-43d8-b3b4-96632ddf4e71
Catalogue record
Date deposited: 21 Jun 2017 16:31
Last modified: 16 Mar 2024 05:28
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Contributors
Author:
Nicola Dal Bianco
Author:
Roberto Lot
Author:
Koen Matthys
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