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Research on Six-Components Wheel Force Identification Method Based on CTPA
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Jian Kong, Guangjun Mao, Youzhe Li, Yinglai Huang, Xile Shan
Automotive Engineer | 2026, (4) : 29 - 34
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Automotive Engineer | 2026, (4): 29-34
Research on Six-Components Wheel Force Identification Method Based on CTPA
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Jian Kong, Guangjun Mao, Youzhe Li, Yinglai Huang, Xile Shan
Affiliations
  • Geely Automobile Research Institue, Ningbo 315336
Published: 2026-04-15 doi: 10.20104/j.cnki.1674-6546.20240416
Outline
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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.

Wheel center load  /  Six-components force  /  Virtual Point Transformation  /  Component-based TPA
孔剑, 毛光军, 李有哲, 黄应来, 单喜乐. 基于部件传递路径分析的轮心六分力载荷识别方法研究. 汽车工程师, 2026 , (4) : 29 -34 . DOI: 10.20104/j.cnki.1674-6546.20240416
Jian Kong, Guangjun Mao, Youzhe Li, Yinglai Huang, Xile Shan. Research on Six-Components Wheel Force Identification Method Based on CTPA[J]. Automotive Engineer, 2026 , (4) : 29 -34 . DOI: 10.20104/j.cnki.1674-6546.20240416
Year 2026 volume Issue 4
157
37
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doi: 10.20104/j.cnki.1674-6546.20240416
  • Online Date:2026-09-20
  • Published:2026-04-15
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  • Revised:2025-03-08
Affiliations
    Geely Automobile Research Institue, Ningbo 315336
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表12种不同金属材料的力学参数
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
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