Real-Time Velocity Optimization to Minimize Energy Use in Passenger Vehicles

Thomas Levermore, M. Necip Sahinkaya, Yahya Zweiri and Ben Neaves
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Thomas Levermore: Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK
M. Necip Sahinkaya: Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK
Yahya Zweiri: Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK
Ben Neaves: Jaguar Land Rover Limited, Gaydon CV35 0RR, UK

Energies, 2016, vol. 10, issue 1, 1-18

Abstract: Energy use in internal combustion engine passenger vehicles contributes directly to CO 2 emissions and fuel consumption, as well as producing a number of air pollutants. Optimizing the vehicle velocity by utilising upcoming road information is an opportunity to minimize vehicle energy use without requiring mechanical design changes. Dynamic programming is capable of such an optimization task and is shown in simulation to produce fuel savings, on average 12%, compared to real driving data; however, in this paper it is also applied in real time on a Raspberry Pi, a low cost miniature computer, in situ in a vehicle. A test drive was undertaken with driver feedback being provided by a dynamic programming algorithm, and the results are compared to a simulated intelligent cruise control system that can follow the algorithm results precisely. An 8% reduction in fuel with no loss in time is reported compared to the test driver.

Keywords: dynamic programming; optimization; fuel; fuel consumption (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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