Authors: George Bozdech; Paul Ayers; David Irick
Addresses: Department of Biosystems Engineering and Soil Science, University of Tennessee, 2506 E.J. Chapman Drive, Knoxville, TN 37996, USA ' Department of Biosystems Engineering and Soil Science, University of Tennessee, 2506 E.J. Chapman Drive, Knoxville, TN 37996, USA ' Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, 1512 Middle Drive, Knoxville, TN 37996, USA
Abstract: Recently, military vehicles have been equipped with hybrid, diesel-electric drives to improve fuel efficiency and stealth capabilities, and these vehicles require accurate power duty cycle estimates. A GPS-based mobility power and duty cycle model was developed and is used to predict the vehicle power requirements. The dynamic vehicle parameters needed to estimate the forces and power developed during locomotion are determined from the global positioning system (GPS) tracking data. Controlled tests were performed and the predicted mobility power values predicted from a GPS receiver were compared to the measured drivewheel power estimated from engine data transmitted on the vehicle's controller area network (CAN). The results from the validation tests indicated that the model was reasonably accurate in predicting the average power requirements of the vehicle.
Keywords: GPS; global positioning system; mobility; power; model; CAN; controller area network; duty cycle; validation; military vehicle; testing.
International Journal of Vehicle Performance, 2019 Vol.5 No.4, pp.409 - 429
Received: 19 Apr 2018
Accepted: 02 Jun 2018
Published online: 10 Dec 2019 *