Vehicle State Estimation by Integrating the Recursive Least Squares Method with a Variable Forgetting Factor with an Adaptive Iterative Extended Kalman Filter

The sideslip angle and the yaw rate are the key state parameters for vehicle handling and stability control. To improve the accuracy of the input parameters and the time-varying characteristics of noise covariance in state estimation, a combined method of recursive least squares with a variable forg...

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Principais autores:	Yong Chen, Yanmin Huang, Zeyu Song
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-09-01
coleção:	World Electric Vehicle Journal
Assuntos:	distributed drive electric vehicle state estimation iterated extended Kalman filter variable forgetting factor recursive least squares adaptive control
Acesso em linha:	https://www.mdpi.com/2032-6653/15/9/399
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