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A Method for Identifying Cornering Stiffness Based on Real-time Estimation of Lateral Force and Slip Angle
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Yu-ying FANG, Peng-wei WANG*, Kai-chen CUI, Song GAO, Rong ZHANG
Science Technology and Engineering | 2025, 25(18) : 7812 - 7822
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Science Technology and Engineering | 2025, 25(18): 7812-7822
Papers·Traffics and Transportations
A Method for Identifying Cornering Stiffness Based on Real-time Estimation of Lateral Force and Slip Angle
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Yu-ying FANG, Peng-wei WANG*, Kai-chen CUI, Song GAO, Rong ZHANG
Affiliations
  • School of Transport and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
Published: 2025-06-28 doi: 10.12404/j.issn.1671-1815.2403777
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The cornering stiffness of automobile tires is closely linked to the vehicle’s handling characteristics, and accurately estimating the tire cornering stiffness in real time is of significant importance for enhancing the stability of vehicle handling. Addressing the challenge of direct measurement of cornering stiffness, a real-time identification method based on the estimation of tire lateral force and slip angle was proposed. Firstly, considering the influence of longitudinal force on lateral force, a tire lateral force estimator was designed based on the yaw dynamics model and sliding mode observer algorithm, followed by the design of a slip angle feedback estimator based on the estimation error of lateral force. Secondly, a nonlinear tire force model that describes the relationship among tire lateral force, slip angle, and cornering stiffness was established. Taking the real-time estimated lateral force and slip angle as inputs, a recursive least squares online identification algorithm with limited memory was designed to address the issue of estimation error due to “data saturation” and improve identification accuracy. Finally, joint simulation experiments using Simulink and CarSim were conducted. The experimental results indicate that the estimation error of tire lateral force is approximately 4.153 9% on average, while the estimation error of tire slip angle is 3.285 2% on average. The identification model based on the recursive least squares method is robust to changes in road conditions, demonstrating good tracking accuracy and stability under both high and low adhesion conditions, with an average estimation accuracy of tire cornering stiffness of approximately 98.379 3%.

lateral force  /  slip angle  /  nonlinear characteristics  /  recursive least squares method  /  identification of cornering stiffness
Yu-ying FANG, Peng-wei WANG, Kai-chen CUI, Song GAO, Rong ZHANG. A Method for Identifying Cornering Stiffness Based on Real-time Estimation of Lateral Force and Slip Angle[J]. Science Technology and Engineering, 2025 , 25 (18) : 7812 -7822 . DOI: 10.12404/j.issn.1671-1815.2403777
Year 2025 volume 25 Issue 18
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doi: 10.12404/j.issn.1671-1815.2403777
  • Receive Date:2024-05-21
  • Online Date:2025-12-17
  • Published:2025-06-28
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  • Received:2024-05-21
  • Revised:2025-03-05
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    School of Transport and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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