智能轮胎的垂向力预测应用研究
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摘要
选用MEMS加速度传感器搭建智能轮胎的硬件测试系统,并利用该系统实现对轮胎垂向力的预测。为了获取各种工况下的智能轮胎传感器数据,同时对预测算法进行验证,分别进行了转鼓台架试验和实车试验。结果表明,基于智能轮胎的垂向力预测算法具有较高的精度,可以满足工程应用要求。
The hardware test system of smart tire was built by using the MEMS accelerometer,and the tire vertical force was predicted by the system. In order to obtain the data of smart tire sensor under various working conditions,and verify the prediction algorithm,the drum bench test and vehicle experiment were carried out respectively. The results showed that,the vertical force prediction algorithm based on smart tire had high accuracy,and could meet the requirements of engineering applications.
The hardware test system of smart tire was built by using the MEMS accelerometer,and the tire vertical force was predicted by the system. In order to obtain the data of smart tire sensor under various working conditions,and verify the prediction algorithm,the drum bench test and vehicle experiment were carried out respectively. The results showed that,the vertical force prediction algorithm based on smart tire had high accuracy,and could meet the requirements of engineering applications.
引文
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[16]Hong H N,Cesbron J,Anfosso Ledee F,et al. Dependence of the Contact Areaonthe VelocityofaRolling Tire[J]. Journalofthe Acoustical Society of America,2009,123(5):3868.
[2]许志超,周福强,危银涛,等.商用车轮胎通过噪声与温度、速度和花纹关系的实验研究[J].橡胶工业,2017,64(11):655-659.
[3]崔志博,王友善,吴健,等.接地特性对轮胎纯侧偏六分力影响的数值研究[J].橡胶工业,2017,64(11):678-682.
[4]Lee H,Taheri S. Intelligent Tires-A Review of Tire Characterization Literature[J]. IEEEIntelligent TransportationSystemsMagazine,2017,9(2):114-130.
[5]Matsuzaki R,Todoroki A. Wireless Monitoring of Automobile Tires for Intelligent Tires[J]. Sensors,2008,8(12):8123.
[6]Tuononen A J,Matilainen M J. Real-time Estimation of Aquaplaning withanOpticalTyreSensor. ProceedingsoftheInstitutionof Mechanical Engineers Part D[J]. Journal of Automobile Engineering,2009,223(10):1263-1272.
[7]Yilmazoglu O,Brandt M,Sigmund J,et al. Integrated InAs/GaSb3D Magnetic Field Sensors for“The Intelligent Tire”[J]. Sensors&Actuators A:Physical,2001,94(1-2):59-63.
[8]RyosukeMatsuzaki,AkiraTodoroki,HideoKobayashi,et al. Passive Wireless Strain Monitoring of a Tire Using Capacitance andElectromagneticInductionChange[J]. AdvancedComposite Materials,2003,14(2):147-164.
[9]Pohl A,Steindl R,Reindl L. The“Intelligent Tire”Utilizing Passive SAW Sensors Measurement of Tire Friction[J]. IEEE Transactions on Instrumentation&Measurement,1999,48(6):1041-1046.
[10]Federico Cheli,Edoardo Sabbioni,Pesce M,et al. A methodology for Vehicle Sideslip Angle Identification:Comparison with Experimental Data[J]. Vehicle System Dynamics,2007,45(6):549-563.
[11]Braghin F,Brusarosco M,Cheli F,et al. Measurement of Contact Forces and Patch Features by Means of Accelerometers Fixed Inside the Tire to Improve Future Car Active Control[J]. Vehicle System Dynamics,2006,44:3-13.
[12]Savaresi S M,Tanelli M,Langthaler P,et al. New Regressors for the Direct Identification of Tire Deformation in Road Vehicles Via“In-Tire”Accelerometers[J]. IEEE Transactions on Control Systems Technology,2008,16(4):769-780.
[13]Sakaguchi K,Suzuki M,Matsubara T,et al. Optimal Tire Force Allocation by Means of Smart Tire Technology[J]. SAE International Journal of Passenger Cars——Mechanical Systems,2013,61(1):163-176.
[14]Christian Oertel,Wei Y T. Tyre Rolling Kinematics and Prediction of TyreForcesandMoments:PartI:A TheoryandMethod[J].Vehicle System Dynamics,2012,50(11):1673-1687.
[15]Wei Y T,Christian Oertel,Shen X L. Tyre Rolling Kinematics and Prediction of Tyre Forces and Moments:Part II:A Simulation and Experiment[J]. Vehicle System Dynamics,2012,50(11):1689-1706.
[16]Hong H N,Cesbron J,Anfosso Ledee F,et al. Dependence of the Contact Areaonthe VelocityofaRolling Tire[J]. Journalofthe Acoustical Society of America,2009,123(5):3868.