Trajectory optimisation for eco–driving - an experimentally verified optimisation method
Eco–driving is an immediately applicable way to reduce fuel consumption in road vehicles by changing vehicle operation such that system efficiency is maximised. In order to identify the maximum potential of eco–driving a numerical method that computes the optimal velocity profile for a specified mission is presented here. An inverse vehicle model is presented to calculate energy consumption as a function of acceleration and velocity. Given the non–linear nature of the problem and the varying constraints the dynamic programming method was chosen to solve the optimisation problem. An iterative approach, combining dynamic programming with advanced root finding methods is proposed to reduce computational time. Using hardware–in–the–loop settings the theoretically optimal velocity profiles were tested on an engine test bench. With this the potential gains of eco–driving were verified and important factors for eco–driving were identified.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17456436
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Supplemental Notes:
- Copyright © 2013 Inderscience Enterprises Ltd.
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Authors:
- Mensing, Felicitas
- Bideaux, Eric
- Trigui, Rochdi
- Jeanneret, Bruno
- Publication Date: 2013
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 295-315
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Serial:
- International Journal of Vehicle Systems Modelling and Testing
- Volume: 8
- Issue Number: 4
- Publisher: Inderscience Enterprises Limited
- ISSN: 1745-6436
- EISSN: 1745-6444
- Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVSMT
Subject/Index Terms
- TRT Terms: Dynamic programming; Fuel consumption; Hardware in the loop simulation; Optimization; Sustainable transportation; Vehicle trajectories; Velocity
- Subject Areas: Design; Energy; Highways; Vehicles and Equipment; I15: Environment; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01499840
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 22 2013 9:20AM