In order to meet increasingly strict regulations on vehicle emissions, manufacturers are seeking ways to produce vehicles that emit less pollution and consume less fuel. Eco-driving is the optimisation of velocity and gear selection in existing vehicles to reduce fuel consumption and such reductions can be made at relatively low development costs compared to powertrain modification. However, the driving experience of a premium vehicle could be compromised if the vehicle behaviour differs from that which is expected by the driver and the acceptance of such fuel saving measures may be diminished. Therefore, in order to maintain the driving experience the contribution of this work is the development and implementation of an optimal control algorithm based on Dynamic Programming which optimises, in real time, the vehicle velocity and gear selection based on a vehicle and upcoming road model while consideration is given to objective measures of driveability. The algorithm is deployed on a Raspberry Pi miniature computer with connection to the vehicle data network. Fuel savings and time savings are identified with the optimisation algorithm both with and without violating constraints on driveability, first in simulation and finally in a real-time, in-vehicle eco-driving feedback system. Primarily the application of this system is in internal combustion engine passenger vehicles in both urban and extra-urban road situations, however the approach is deliberately flexible to allow development for other powertrain configurations.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:739711 |
| Date | January 2017 |
| Creators | Levermore, Thomas |
| Contributors | Sahinkaya, Mehmet ; Wang, Ordys |
| Publisher | Kingston University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://eprints.kingston.ac.uk/40642/ |
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