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Road Friction Coefficient Estimation Based on Square Root Cubature Kalman Filter
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Ruofei Du1, Jian Wang1, Nan Li2, Mingzhe Fei1, Huan Deng1, Yunjing Wang1
Automotive Engineer | 2023, (8) : 30 - 37
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Automotive Engineer | 2023, (8): 30-37
Road Friction Coefficient Estimation Based on Square Root Cubature Kalman Filter
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Ruofei Du1, Jian Wang1, Nan Li2, Mingzhe Fei1, Huan Deng1, Yunjing Wang1
Affiliations
  • 1 Shandong Jiaotong University, Jinan 250357
  • 2 Ningbo Yinzhou DLT Technologies Co., Ltd., Ningbo 315100
Published: 2023-08-15 doi: 10.20104/j.cnki.1674-6546.20230123
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For the estimation of road adhesion coefficient, a key parameter in vehicle active safety system, a three-degree-of-freedom vehicle dynamics model with Dugoff tire model was established, and the road adhesion coefficient estimator was designed based on Square root Cubature Kalman Filter (SCKF). This method introduced orthogonal trigonometric decomposition into Cubature Kalman Filter (CKF) algorithm, avoiding the root operation of covariance matrix in CKF, and improving the stability of the algorithm. MATLAB and CarSim co-simulation platform were used to carry out multi-condition simulation verification under different road conditions, and the proposed algorithm was compared with CKF algorithm. The results show that SCKF algorithm has high robustness and higher estimation accuracy than CKF algorithm, and can meet the requirements of vehicle active safety system.

Estimation of road adhesion coefficient  /  Square root Cubature Kalman Filter (SCKF)  /  Vehicle dynamic model  /  Dugoff tire model
Ruofei Du, Jian Wang, Nan Li, Mingzhe Fei, Huan Deng, Yunjing Wang. Road Friction Coefficient Estimation Based on Square Root Cubature Kalman Filter[J]. Automotive Engineer, 2023 , (8) : 30 -37 . DOI: 10.20104/j.cnki.1674-6546.20230123
Year 2023 volume Issue 8
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doi: 10.20104/j.cnki.1674-6546.20230123
  • Online Date:2025-11-25
  • Published:2023-08-15
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  • Revised:2023-05-12
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    1 Shandong Jiaotong University, Jinan 250357
    2 Ningbo Yinzhou DLT Technologies Co., Ltd., Ningbo 315100
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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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