Articles | Volume 12, issue 1
https://doi.org/10.5194/ms-12-19-2021
https://doi.org/10.5194/ms-12-19-2021
Research article
 | 
18 Jan 2021
Research article |  | 18 Jan 2021

On co-estimation and validation of vehicle driving states by a UKF-based approach

Peng Wang, Hui Pang, Zijun Xu, and Jiamin Jin

Viewed

Total article views: 1,290 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
948 310 32 1,290 25 29
  • HTML: 948
  • PDF: 310
  • XML: 32
  • Total: 1,290
  • BibTeX: 25
  • EndNote: 29
Views and downloads (calculated since 18 Jan 2021)
Cumulative views and downloads (calculated since 18 Jan 2021)

Viewed (geographical distribution)

Total article views: 1,219 (including HTML, PDF, and XML) Thereof 1,217 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Nov 2024
Download
Short summary
In this paper, an effective UKF-based estimation method is proposed to accurately estimate the driving states of vehicles. First, a three degrees of freedom (3-DOFs) vehicle dynamics model is established, and then a vehicle driving state estimation method is designed based on the UKF algorithm. Finally, by using CarSim and MATLAB/Simulink software, the co-simulation and validation are carried out to validate the accuracy of the proposed method under the sinusoidal and fishhook conditions.