Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

The development of onboard sensors in combination with internet connectivity provides a
better driving experience, which fuels the growth of automotive market. The ever growing …

Multi-autonomous underwater vehicles (AUVs) cooperative localization has become a
research hotspot in the marine navigation field. In this paper, a filtering algorithm for slave …

A novel hierarchical coordination control strategy (HCCS) is offered to guarantee the stability
of four-wheel drive electric vehicles (4WD-EVs) combining the Unscented Kalman filter …

The knowledge of key vehicle states is crucial to guarantee adequate safety levels for
modern passenger cars, for which active safety control systems are lifesavers. In this regard …

Accurate physical modeling of vehicle dynamics requires extensive a priori knowledge of the
studied vehicle. In contrast, data-driven modeling approaches require only a set of data that …

Recently, the whole world has turned to the rechargeable battery as the primary source of
electric vehicles (EVs). Meanwhile, the majority of the automobile manufacturers quantify …

Accurate information about vehicle parameters and road roughness is of great significance
in vehicle dynamic analysis, road driving quality, etc. In this study, a method for estimating …

This study deals with the enhancement of reliability of vehicle dynamic model for the stability
controller design by estimating the effect of uncertainties in both tire forces and vehicle …

Abstract Hybrid Energy Storage Systems (HESSs), which are mainly based on Lithium-ion (L
i− ion) batteries and supercapacitors (SCs), are extensively investigated for large-scale …