Development of a heavy Duty Hybrid Vehicle Model

2009-01-2933

10/06/2009

Event
SAE 2009 Commercial Vehicle Engineering Congress & Exhibition
Authors Abstract
Content
Vehicle manufacturers face mounting pressure to increase fuel economy and reduce vehicle tailpipe emissions in order to reduce the environmental impact of their vehicles and to meet ever more stringent regulations. Wrightbus have developed first generation single– and double–deck Hybrid Electric Vehicle (HEV) city buses, a number of which are in regular service in London and other cities. These buses utilise a series hybrid powertrain with a turbo-diesel engine, drive motors with total output powers between 120 kW and 170 kW and a DC electrical storage system. Fuel savings up to 30% have been achieved in service.
This paper presents a literature review of hybrid vehicle modelling, and covers the work completed by Queen's University to create a software model of the Wrightbus HEV drivetrains in the Mathworks Mat-lab/Simulink environment. The model has been calibrated to several drivetrain configurations, including differing battery technologies, control systems and vehicle hardware.
The model has been designed with sub–components to mimic the on–board hardware and control units, thus allowing modification of individual components to mirror or predict modifications to any corresponding part of the vehicle hardware. The vehicle control strategy is heavily influenced by the instantaneous voltage of the electrical energy storage device; special attention has been given to creation of an accurate model of the reaction of the voltage of the battery to typical varying load conditions.
Calibration of the model has been achieved with a combination of data gathered from different drivetrain configurations on a rolling road facility and on road tests.
Meta TagsDetails
DOI
https://doi.org/10.4271/2009-01-2933
Pages
11
Citation
Simpson, A., Fleck, R., Kee, R., Douglas, R. et al., "Development of a heavy Duty Hybrid Vehicle Model," SAE Technical Paper 2009-01-2933, 2009, https://doi.org/10.4271/2009-01-2933.
Additional Details
Publisher
Published
Oct 6, 2009
Product Code
2009-01-2933
Content Type
Technical Paper
Language
English