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Correlation Method for Proving Ground Durability Test Based on Road Unevenness and Vehicle Speed
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Qingsong Jiang1, 2, 3, Mukui Qiu1, 2, 3, Xingfu Qin1, 2, 3, Houlai He1, 2, 3, Yanhui Liao1, 2, 3
Automobile Technology | 2026, (9) : 45 - 52
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Automobile Technology | 2026, (9): 45-52
• Special Topic on Lateral Stability and Motion Tracking Control Technology for Steer-by-Wire Vehicles •
Correlation Method for Proving Ground Durability Test Based on Road Unevenness and Vehicle Speed
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Qingsong Jiang1, 2, 3, Mukui Qiu1, 2, 3, Xingfu Qin1, 2, 3, Houlai He1, 2, 3, Yanhui Liao1, 2, 3
Affiliations
  • 1.SAIC-GM-Wuling Automobile Co., Ltd., Liuzhou 545007
  • 2. Guangxi New Energy Vehicle Laboratory, Liuzhou 545616
  • 3.Guangxi Key Laboratory of Automotive New Four Modernizations, Liuzhou 545616
Published: 2026-09-24 doi: 10.19620/j.cnki.1000-3703.20250807
Outline
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In light of traditional reliability and durability testing standards have lagged behind, and where conventional user survey methods struggle to accurately reflect user needs, this paper integrates user big data with public road big data. Taking road surface roughness and driving speed as core reference points, it establishes a method for correlating user behaviour with durability testing conducted at test tracks. Specifically, this method first establishes a road surface roughness map of public roads. By linking and coupling users'connected vehicle driving data via latitude and longitude coordinates, the driving data for each user is discretised to construct a four-dimensional feature matrix comprising vehicle speed, road surface roughness, load mass and mileage. Subsequently, based on collected segments of typical road load spectra, the load spectra for each user are precisely reconstructed to obtain the target loads for each user; Finally, test track durability test specifications are formulated based on the damage equivalence principle. The study established a road surface roughness map of public roads in Liuzhou City. Based on load spectra from 16 typical roads covering a cumulative distance of over 1 000 km at various speeds, load spectra for 2 000 users totalling nearly 7×106 km were constructed, and the corresponding test track durability test specifications were formulated accordingly.

Road unevenness  /  Vehicle speed  /  Load spectrum  /  User correlation
蒋青松, 邱慕逵, 覃星福, 何厚来, 廖艳辉. 基于路面不平度和车速的试验场耐久性试验关联方法. 汽车技术, 2026 , (9) : 45 -52 . DOI: 10.19620/j.cnki.1000-3703.20250807
Qingsong Jiang, Mukui Qiu, Xingfu Qin, Houlai He, Yanhui Liao. Correlation Method for Proving Ground Durability Test Based on Road Unevenness and Vehicle Speed[J]. Automobile Technology, 2026 , (9) : 45 -52 . DOI: 10.19620/j.cnki.1000-3703.20250807
Year 2026 volume Issue 9
96
17
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Article Info
doi: 10.19620/j.cnki.1000-3703.20250807
  • Online Date:2026-10-20
  • Published:2026-09-24
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  • Revised:2026-09-08
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Affiliations
    1.SAIC-GM-Wuling Automobile Co., Ltd., Liuzhou 545007
    2. Guangxi New Energy Vehicle Laboratory, Liuzhou 545616
    3.Guangxi Key Laboratory of Automotive New Four Modernizations, Liuzhou 545616
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表12种不同金属材料的力学参数
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Number of
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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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