4WID In-Wheel Motor EV Driving State Estimation Based on UKF

Gang Li; Chang Fu Zong; Qiang Zhang; Wei Hong

doi:10.4028/www.scientific.net/AMM.246-247.712

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 246-2474WID In-Wheel Motor EV Driving State Estimation...

4WID In-Wheel Motor EV Driving State Estimation Based on UKF

Abstract:

According to the characteristics of the four independent drive (4WID) electric vehicles, the vehicle driving state estimation algorithm was designed based on the Unscented Kalman Filter (UKF). The algorithm used 3-DOF vehicle estimation model with the HSRI tire model. The 4WID EV longitudinal velocity, lateral velocity and side slip angle were estimated. The algorithm was verified through simulation experiment. The results showed that the algorithm could estimate the vehicle driving state more accurately.

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Periodical:

Applied Mechanics and Materials (Volumes 246-247)

Pages:

712-717

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.246-247.712

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Online since:

December 2012

Authors:

Gang Li, Chang Fu Zong, Qiang Zhang, Wei Hong

Keywords:

4WID, EV, State Estimation, UKF

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