UKF-based State and tire slip estimation for a 4WD electric vehicle-Reference-Cited by-同舟云学术

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UKF-based State and tire slip estimation for a 4WD electric vehicle

Published:2019-08-13 Issue:10 Volume:58 Page:1479-1496
ISSN:0042-3114
Container-title:Vehicle System Dynamics
language:en
Short-container-title:Vehicle System Dynamics

Author:

Heidfeld Hannes¹,Schünemann Martin¹,Kasper Roland¹

Affiliation:

1. Institute for Mobile Systems, Otto von Guericke University Magdeburg, Magdeburg, Germany

Funder

European Regional Development Fund

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Safety, Risk, Reliability and Quality,Automotive Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00423114.2019.1648836

Reference22 articles.

1. Unscented Kalman filter for vehicle state estimation

2. Hamann H , Hedrick JK , Rhode S , et al. Tire force estimation for a passenger vehicle with the Unscented Kalman Filter. In: 2014 IEEE Intelligent Vehicles Symposium Proceedings. Proceedings; August 8 – November 6, 2014; MI, USA; 2014; p. 814–819.

3. A hierarchical estimator development for estimation of tire-road friction coefficient

4. Wielitzka M , Busch A , Dagen M , et al. Unscented Kalman Filter for state and parameter estimation in vehicle dynamics. In: Ginalber Luiz de Oliveira Serra, editor Kalman Filters – Theory for Advanced Applications; 2018; p. 56–75.

5. Fast identification of a detailed two-track model with onboard sensors and GPS

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