Table 2 Summary of estimation methods based on vehicle lateral dynamics
From: Tire Road Friction Coefficient Estimation: Review and Research Perspectives
Number | Models | Methodology | References |
|---|---|---|---|
1 | Single-track vehicle model | Analytical model | [71] |
2 | Brush model | Analytical model | [68] |
3 | Single-track vehicle model | Parameter identification algorithm | [74] |
4 | Lateral tire forces | Analytical model | [75] |
5 | Seven DOF vehicle model | Multi-sensor signal fusion method | |
6 | Single-track vehicle model | RLS | |
7 | Single-track vehicle model | Analytical model | [69] |
8 | Brush model | Analytical model | [72] |
9 | Three DOF vehicle model | Dual extended Kalman filter | |
10 | Nonlinear vehicle model | Switched multiple nonlinear observer | [90] |
11 | Single-track vehicle model | Analytical model | [70] |
12 | Random-walk model | Extended Luenberger observer | [85] |
13 | Single-track vehicle model | Iteration estimator | [84] |
14 | Seven DOF vehicle model | Online gradient descent algorithm | [86] |
15 | Single-track vehicle model | Nonlinear observer | |
16 | Single-track vehicle model | Nonlinear adaptive observer | [91] |
17 | Hypothetical brush model | Direct model inversion | [73] |
18 | Single-track vehicle model | High-order sliding mode differentiator. | [89] |
19 | Single-track vehicle model | Unscented Kalman filter | [83] |