Estimation of tire-road friction coefficient based on combined APF-IEKF and iteration algorithm

Tire-road friction coefficient is an important parameter for vehicle stability and active safety systems. However, precise measurement of tire-road friction coefficient is hard to achieve without expensive equipment. Considering easy availability and good economy, this paper proposes a method which...

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Vydáno v:	Mechanical systems and signal processing Ročník 88; s. 25 - 35
Hlavní autoři:	Liu, Y.-H., Li, T., Yang, Y.-Y., Ji, X.-W., Wu, J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin Elsevier Ltd 01.05.2017 Elsevier BV
Témata:	Algorithms APF-IEKF Automotive parts Computer simulation Extended Kalman filter Filters Friction Iteration algorithm Iterative algorithms Iterative methods Kalman filters Noise Self-aligning torque Sideslip Simulation Slip Tire-road friction coefficient Tires Vehicles Iteration algorithm Tire-road friction coefficient APF-IEKF Self-aligning torque
ISSN:	0888-3270, 1096-1216
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Abstract	Tire-road friction coefficient is an important parameter for vehicle stability and active safety systems. However, precise measurement of tire-road friction coefficient is hard to achieve without expensive equipment. Considering easy availability and good economy, this paper proposes a method which first combines auxiliary particle filter and the iterated extended kalman filter (APF-IEKF), and then processes the results of the first step using iteration algorithm. APF-IEKF is used to estimate the slip angle of the front tires with strong nonlinearity and non-Gaussian noise, in which APF filters non-Gaussian noise and reach a preliminary estimation of sideslip angle, then IEKF is used to optimize the result, making the estimation of the sideslip angle more accurate. The iteration algorithm is used to estimate the tire-road friction coefficient based on self-aligning torque, which is more sensitive to tire slip angle and provides faster estimation. In this way, this method can estimate tire road friction coefficient more accurately and in real time. Both numerical simulation in Carsim/Simulink and actual off-vehicle tests in winter are provided to demonstrate the efficiency of the proposed algorithm. •A method that combines APF-IEKF and iteration algorithm is proposed for tire-road friction coefficient.•Tire slip angle estimated by APF-IEKF is much more accurate than common UKF because it is fit for non-Gaussian noise.•Tire-road friction coefficient estimate by proposed method is also much more accurate.
AbstractList	Tire-road friction coefficient is an important parameter for vehicle stability and active safety systems. However, precise measurement of tire-road friction coefficient is hard to achieve without expensive equipment. Considering easy availability and good economy, this paper proposes a method which first combines auxiliary particle filter and the iterated extended kalman filter (APF-IEKF), and then processes the results of the first step using iteration algorithm. APF-IEKF is used to estimate the slip angle of the front tires with strong nonlinearity and non-Gaussian noise, in which APF filters non-Gaussian noise and reach a preliminary estimation of sideslip angle, then IEKF is used to optimize the result, making the estimation of the sideslip angle more accurate. The iteration algorithm is used to estimate the tire-road friction coefficient based on self-aligning torque, which is more sensitive to tire slip angle and provides faster estimation. In this way, this method can estimate tire road friction coefficient more accurately and in real time. Both numerical simulation in Carsim/Simulink and actual off-vehicle tests in winter are provided to demonstrate the efficiency of the proposed algorithm. •A method that combines APF-IEKF and iteration algorithm is proposed for tire-road friction coefficient.•Tire slip angle estimated by APF-IEKF is much more accurate than common UKF because it is fit for non-Gaussian noise.•Tire-road friction coefficient estimate by proposed method is also much more accurate. Tire-road friction coefficient is an important parameter for vehicle stability and active safety systems. However, precise measurement of tire-road friction coefficient is hard to achieve without expensive equipment. Considering easy availability and good economy, this paper proposes a method which first combines auxiliary particle filter and the iterated extended kalman filter (APF-IEKF), and then processes the results of the first step using iteration algorithm. APF-IEKF is used to estimate the slip angle of the front tires with strong nonlinearity and non-Gaussian noise, in which APF filters non-Gaussian noise and reach a preliminary estimation of sideslip angle, then IEKF is used to optimize the result, making the estimation of the sideslip angle more accurate. The iteration algorithm is used to estimate the tire-road friction coefficient based on self-aligning torque, which is more sensitive to tire slip angle and provides faster estimation. In this way, this method can estimate tire road friction coefficient more accurately and in real time. Both numerical simulation in Carsim/Simulink and actual off-vehicle tests in winter are provided to demonstrate the efficiency of the proposed algorithm.
Author	Liu, Y.-H. Wu, J. Ji, X.-W. Li, T. Yang, Y.-Y.
Author_xml	– sequence: 1 givenname: Y.-H. surname: Liu fullname: Liu, Y.-H. organization: The State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, People’s Republic of China – sequence: 2 givenname: T. surname: Li fullname: Li, T. organization: The State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, People’s Republic of China – sequence: 3 givenname: Y.-Y. surname: Yang fullname: Yang, Y.-Y. organization: School of Engineering and Technology, China University of Geoscience (Beijing), Beijing 100083, People’s Republic of China – sequence: 4 givenname: X.-W. surname: Ji fullname: Ji, X.-W. email: jixw@tsinghua.edu.cn organization: The State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, People’s Republic of China – sequence: 5 givenname: J. surname: Wu fullname: Wu, J. organization: The State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, People’s Republic of China
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Snippet	Tire-road friction coefficient is an important parameter for vehicle stability and active safety systems. However, precise measurement of tire-road friction...
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SubjectTerms	Algorithms APF-IEKF Automotive parts Computer simulation Extended Kalman filter Filters Friction Iteration algorithm Iterative algorithms Iterative methods Kalman filters Noise Self-aligning torque Sideslip Simulation Slip Tire-road friction coefficient Tires Vehicles
Title	Estimation of tire-road friction coefficient based on combined APF-IEKF and iteration algorithm
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