Upload
others
View
5
Download
0
Embed Size (px)
Citation preview
Vehicle Speed Optimisation with Dynamic Programming
Thomas LevermoreKingston University
Supervision: Necip Sahinkaya and Yahya Zweiri
UKACC PhD Presentation Showcase
UKACC PhD Presentation Showcase Slide 2
Introduction
Automotive industry’s biggest issues? Emissions Fuel consumption
Both can be reduced by more efficient driving
Source: http://ertico.com/projects/adasisforum/
Compared to vehicle design changes - cheaper, quicker to implement and works with existing vehicles.
eHorizon systems provideinformation about the road ahead
UKACC PhD Presentation Showcase Slide 3
Overview Background and motivation for research
Dynamic Programming applied to HGV speed optimisation with positive simulation results in published literature.
Develop system for passenger vehicles for real time application Incorporate flexibility – time-efficient or fuel-efficient?
Research methodology Simulation – Simulink, real road data, real vehicle data Hardware – Raspberry Pi, CAN Bus, GPS
Current status DP implemented in C code Algorithm results compared to
recorded driving data. Working prototype tested in
vehicle
UKACC PhD Presentation Showcase Slide 4
Simulation Results
Time / FuelWeighting Time (min) Time
DifferenceFuel Consumption
(l/100km)Fuel
DifferenceSpeed Limit 15:08 ‐10% 6.15 4%
Driven 16:50 5.940.2 18:39 11% 4.05 ‐32%0.5 16:59 1% 4.33 ‐27%0.8 16:01 ‐5% 4.67 ‐21%
UKACC PhD Presentation Showcase Slide 5
Conclusion
Dynamic Programming used to optimise vehicle speed and gear selection in a real time in-vehicle test.
Significant fuel savings found compared to logged driving data.
Next: Driver guidance system improvement Extensive road testing required Analysis to identify the most suitable settings
for the DP algorithm.