By Topic

A Two-Stage Lyapunov-Based Estimator for Estimation of Vehicle Mass and Road Grade

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
McIntyre, M.L. ; Dept. of Eng., Western Kentucky Univ., Bowling Green, KY, USA ; Ghotikar, T.J. ; Vahidi, A. ; Xubin Song
more authors

This work proposes a two-stage estimation strategy to determine a heavy-duty vehicle's mass and road grade. The estimation strategy uses standard signals available through the vehicle control area network. The first stage of this approach utilizes an adaptive least-squares estimation strategy to determine the vehicle's mass and an estimate for a constant road grade. Due to the time-varying nature of the road grade, a nonlinear estimator that provides a more-accurate estimate of the road grade is then developed. Simulation and experimental results show, under a set of qualifying conditions, that both mass and road grade can be estimated with good accuracy.

Published in:

Vehicular Technology, IEEE Transactions on  (Volume:58 ,  Issue: 7 )