Abstract
A new approach of vehicle longitudinal velocity estimation with adaptive Kalman Filter is proposed in this paper. An EV with four in-wheel drive motors is chosen as the study object. Adaptive Kalman Filter is used to estimate the longitudinal velocity and road ramp angle under unknown road conditions by measuring the wheel speeds and vehicle acceleration. Simulation of the algorithm is carried out to find out desired covariance matrices of Kalman Filter.
F2012-G06-014
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Acknowledgments
This work was supported by National Basic Research Program of China (No.2011CB711200).
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© 2013 Springer-Verlag Berlin Heidelberg
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Gao, Y., Feng, Y., Xiong, L. (2013). Vehicle Longitudinal Velocity Estimation with Adaptive Kalman Filter. In: Proceedings of the FISITA 2012 World Automotive Congress. Lecture Notes in Electrical Engineering, vol 198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33795-6_34
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DOI: https://doi.org/10.1007/978-3-642-33795-6_34
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33794-9
Online ISBN: 978-3-642-33795-6
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