Real-Time Velocity Optimization to Minimize Energy Use in Passenger Vehicles
Faculty of Science, Engineering and Computing, Kingston University London, London SW15 3DW, UK
Jaguar Land Rover Limited, Gaydon CV35 0RR, UK
Author to whom correspondence should be addressed.
Academic Editor: K.T. Chau
Received: 11 November 2016 / Revised: 11 December 2016 / Accepted: 15 December 2016 / Published: 27 December 2016
Energy use in internal combustion engine passenger vehicles contributes directly to
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.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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MDPI and ACS Style
Levermore, T.; Sahinkaya, M.N.; Zweiri, Y.; Neaves, B. Real-Time Velocity Optimization to Minimize Energy Use in Passenger Vehicles. Energies 2017, 10, 30.
Levermore T, Sahinkaya MN, Zweiri Y, Neaves B. Real-Time Velocity Optimization to Minimize Energy Use in Passenger Vehicles. Energies. 2017; 10(1):30.
Levermore, Thomas; Sahinkaya, M. N.; Zweiri, Yahya; Neaves, Ben. 2017. "Real-Time Velocity Optimization to Minimize Energy Use in Passenger Vehicles." Energies 10, no. 1: 30.
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