Tire Road Friction Coefficient Estimation: Review and Research Perspectives

Chinese Journal of Mechanical Engineering

Table 3 Summary of estimation methods based on vehicle coupled dynamics

Number	Models	Methodology	References
1	Four wheel vehicle model	Analytical model	[93]
2	Four wheel vehicle model	Unscented Kalman filter	[106]
3	Kinematic model	Analytical model	[94]
4	Single-track vehicle model	Analytical model	[95]
5	Brushed tire model	Linearized RLS	[92]
6	Three DOF vehicle model	Extended Kalman filter	[103]
7	Three DOF vehicle model	Integrated estimator	[96]
8	Planar vehicle model	RLS	[102]
9	Three DOF vehicle model	Signal fusion method	[98]
10	Four-DOF vehicle model	Extended Kalman filter	[104]
11	Planar vehicle model	MSE-weighted fusion method	[99]
12	Three DOF vehicle model	RLS	[101]
13	Fourteen DOF vehicle model	Multilayer perceptron neural network	[110]
14	Active front steering model	Frequency domain data fusion	[100]
15	Planar vehicle model	Nonlinear observer	[108]
16	Three DOF vehicle model	Limited-memory adaptive EKF	[105]
17	Kinematic model	Nonlinear observer	[109]
18	Three DOF vehicle model	Moving horizon estimation strategy	[97]
19	Seven DOF vehicle model	Improved strong tracking UKF	[107]