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Distributed Drive Electric Vehicle State Estimation based on Extended Kalman Filter.
- Source :
- Energy Procedia; Dec2016, Vol. 104, p538-543, 6p
- Publication Year :
- 2016
-
Abstract
- This paper researched an estimation method based on Extended Kalman Filter (EKF) for distributed drive electric vehicle states. A 7 DOF closed-loop vehicle simulation platform including driver model of preview follower method and ‘Magic formula’ tire model was established. A general 2-input–1-output and 3 states estimation system was established, considering the white Gauss measurement noise. The estimation algorithm was applied to a four-motor-driven vehicle during a double-lane-change process. The results showed that EKF estimator could effectively estimate the states of distributed drive electric vehicle with varying speed under simulative experimental condition. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18766102
- Volume :
- 104
- Database :
- Supplemental Index
- Journal :
- Energy Procedia
- Publication Type :
- Academic Journal
- Accession number :
- 120407156
- Full Text :
- https://doi.org/10.1016/j.egypro.2016.12.091