In order to obtain the wheel center load, the six-component force identification method under road test condition is studied. The principal component analysis method is used to solve road noise problem with multi-reference strong coupling of excitation source. The Virtual Point Transformation (VPT) technique is used to convert the measured translational FRF into the six-component FRF at the wheel center, and the correctness of the VPT method is verified by experiments. Based on component-based Transfer Path Analysis (TPA) technology, combined with matrix inverse method and in-situ method, the six-component wheel center Blocked force under rough road conditions at a vehicle speed of 40 km/h was identified. The predicted in-vehicle noise was consistent with the measured noise value, which verified the effectiveness of the method.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |