The vehicle center of mass slip angle and the road adhesion coefficient are the key
parameters required to realize the intelligence of the vehicle chassis. The vehicle's center of …

With regard to the rear-drive in-wheel motor vehicle, this paper studies the joint estimation
method for the vehicle state and road adhesion coefficient. A nonlinear seven degrees of …

车辆质心侧偏角和路面附着系数是实现车辆底盘智能化所需要的关键参数. 车辆质心侧偏角对于
提高车辆安全性和操控性至关重要, 轮胎-路面附着系数决定轮胎力的峰值 …

为识别铁道车辆车钩等存在非线性刚度阻尼的单一维度, 多自由度系统的外部动载荷,
提出一种基于平方根容积卡尔曼滤波(SRCKF) 算法的载荷识别方法. 以一个二自由度的非线性 …

In this study, a vehicle state joint estimation method based on lateral stiffness was applied to
estimate the running states of electric vehicles driven by rear-drive, in-wheel motors …

To accurately obtain the state parameter information of a vehicle, a square root generalized
high-order cubature Kalman filter (CKF) estimation algorithm based on the atomic search …

道路坡度的估计对于车辆的精确控制, 行驶环境的构建分析具有重要意义.
在以往的坡度估计中未考虑坡度变化率, 估计值难以实时跟随道路坡度的变化 …

To improve the estimation accuracy of the state parameters of distributed electric vehicles, a
double inverse covariance intersection generalized fifth-order cubature Kalman filter (DICI …

Due to the influence of various factors, real-time and stability analysis of road adhesion
coefficient is extremely complex. This paper proposes a road adhesion coefficient estimation …

To improve the estimation accuracy of distributed electric vehicle state parameters, a
generalized fifth-order cubature Kalman filter (GHCKF) is proposed. Based on the fifth-order …