A review of dynamic state estimation for the neighborhood system of connected vehicles

Y Wang, H Wei, L Yang, B Hu, C Lv - SAE International Journal of Vehicle …, 2023 - sae.org
Precise vehicle state and the surrounding traffic information are essential for decision-
making and dynamic control of intelligent connected vehicles. Tremendous research efforts …

Chassis coordinated control for full X-by-wire vehicles-A review

L Zhang, Z Zhang, Z Wang, J Deng… - Chinese Journal of …, 2021 - Springer
An X-by-wire chassis can improve the kinematic characteristics of human-vehicle closed-
loop system and thus active safety especially under emergency scenarios via enabling …

Machine learning approaches to estimate suspension parameters for performance degradation assessment using accurate dynamic simulations

Y Pan, Y Sun, Z Li, P Gardoni - Reliability Engineering & System Safety, 2023 - Elsevier
The suspension is one of the most vital systems in a vehicle. Its performance degrades over
time due to road conditions. The suspension parameters of a moving vehicle are difficult or …

A comprehensive implementation of road surface classification for vehicle driving assistance: Dataset, models, and deployment

T Zhao, J He, J Lv, D Min, Y Wei - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The prior monitoring of the road surface conditions provides valuable information to vehicle
trajectory planning and active control systems. Road surface perception with vision sensors …

Estimation of tire-road peak adhesion coefficient for intelligent electric vehicles based on camera and tire dynamics information fusion

B Leng, D Jin, L Xiong, X Yang, Z Yu - Mechanical Systems and Signal …, 2021 - Elsevier
Tire-road peak adhesion coefficient is not only a key parameter to achieve accurate vehicle
motion control, but also an important input for decision-making and planning of intelligent …

[HTML][HTML] Tyre wear model: a fusion of rubber viscoelasticity, road roughness, and thermodynamic state

A Sakhnevych, A Genovese - Wear, 2024 - Elsevier
Wear is due to many causes and involves three major consequences: loss of performance,
loss of security and environmental pollution. Depending on the context, the focus on the …

A survey of intelligent tires for tire-road interaction recognition toward autonomous vehicles

S Yang, Y Chen, R Shi, R Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driving safety is the most basic demand for autonomous vehicles but is also the most difficult
task at the same time. Intelligent tires equipped with in-tire sensors have been proposed to …

Magnetic-assisted self-powered acceleration sensor for real-time monitoring vehicle operation and collision based on triboelectric nanogenerator

X Lu, H Li, X Zhang, B Gao, T Cheng - Nano Energy, 2022 - Elsevier
In vehicle electronic systems, acceleration sensors play an irreplaceable role in improving
vehicle performances. The on-board acceleration sensor is suitable for common operating …

Extension of the multiphysical magic formula tire model for ride comfort applications

M Barbaro, A Genovese, F Timpone, A Sakhnevych - Nonlinear Dynamics, 2024 - Springer
In the development of physical tire models, the complexity of the composite structure and the
multiphysical variables require strongly nonlinear mathematical formulations to guarantee a …

Longitudinal-lateral-cooperative estimation algorithm for vehicle dynamics states based on adaptive-square-root-cubature-Kalman-filter and similarity-principle

X Chen, S Li, L Li, W Zhao, S Cheng - Mechanical Systems and Signal …, 2022 - Elsevier
It is infeasible to measure vehicle dynamics states (VDS) directly without expensive
measurement instruments, especially for the tire-road peak adhesion coefficient (μ max) …