Fundamental study of smart tire system

Ohori, Masanori; Ishizuka, T.; Fujita, Takako; Masaki, Nobuo; Suizu, Yoji

doi:10.1109/itsc.2006.1707439

Cited by 10 publications

(6 citation statements)

References 1 publication

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“…The tire force can be measured with a wheel load measuring system or a smart tire system [13], [14] . However, there are utility problems in both the wheel load measuring system and the smart tire system.…”

Section: Tire Modelmentioning

confidence: 99%

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Vehicle Dynamics Control of In-wheel Electric Motor Drive Vehicles Based on Averaging of Tire Force Usage

Masaki

Iwano

Kamada³

et al. 2012

JMTL

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For in-wheel electric motor drive vehicles, a new vehicle dynamics control which is based on the tire force usage rate is proposed. The new controller adopts non-linear optimal control could manage the interference between direct yaw-moment control and the tire force usage rate. The new control is considered total longitudinal and transverse tire force. Therefore the controller can prevent tire force saturation near tire force limit during cornering. Simulations and test runs by the custom made four wheel drive in-wheel motor electric vehicle show that higher driving stability performance compared to the performance of the same vehicle without control. Weight [kg] Supply voltage 144 [V]Reduction gear ratio 9

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Section: Tire Modelmentioning

confidence: 99%

“…The tire usage rate error margin was defined from the mean value of the tire force usage rates of each side's tire usage rate. They are showed in Equations (13) to Equation (16).…”

Section: Design Of Tire Force Distribution Controllermentioning

confidence: 99%

Vehicle Dynamics Control of In-wheel Electric Motor Drive Vehicles Based on Averaging of Tire Force Usage

Masaki

Iwano

Kamada³

et al. 2012

JMTL

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“…Miyazaki et al [54-55] measured the four-axis direction force by attaching strain gages to improve the ABS efficiency. Ohori et al [56] and Kamada et al [57] measured the strains applied to the wheel to estimate the six force components in the tire.…”

Section: Advanced Intelligent Tiresmentioning

confidence: 99%

Wireless Monitoring of Automobile Tires for Intelligent Tires

Matsuzaki

Todoroki

2008

Sensors

102

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This review discusses key technologies of intelligent tires focusing on sensors and wireless data transmission. Intelligent automobile tires, which monitor their pressure, deformation, wheel loading, friction, or tread wear, are expected to improve the reliability of tires and tire control systems. However, in installing sensors in a tire, many problems have to be considered, such as compatibility of the sensors with tire rubber, wireless transmission, and battery installments. As regards sensing, this review discusses indirect methods using existing sensors, such as that for wheel speed, and direct methods, such as surface acoustic wave sensors and piezoelectric sensors. For wireless transmission, passive wireless methods and energy harvesting are also discussed.

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“…Unlike normal vehicle dynamic information, it is hard to measure tire-road friction directly. A cutting-edge approach is the intelligent tire which monitors the tire adhesion information in real time by the sensors such as ultrasonic approach [3], optical position detection [4], and piezoelectric film sensor [5] mounted inside of tires. However, these researches are still in their early stage and unsuitable for wide application due to the newly equipped sensors and the increased cost.…”

Section: Introductionmentioning

confidence: 99%

Development and Verification of the Tire/Road Friction Estimation Algorithm for Antilock Braking System

Zhao

Zhang

Zhu

2014

Mathematical Problems in Engineering

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Road friction information is very important for vehicle active braking control systems such as ABS, ASR, or ESP. It is not easy to estimate the tire/road friction forces and coefficient accurately because of the nonlinear system, parameters uncertainties, and signal noises. In this paper, a robust and effective tire/road friction estimation algorithm for ABS is proposed, and its performance is further discussed by simulation and experiment. The tire forces were observed by the discrete Kalman filter, and the road friction coefficient was estimated by the recursive least square method consequently. Then, the proposed algorithm was analysed and verified by simulation and road test. A sliding mode based ABS with smooth wheel slip ratio control and a threshold based ABS by pulse pressure control with significant fluctuations were used for the simulation. Finally, road tests were carried out in both winter and summer by the car equipped with the same threshold based ABS, and the algorithm was evaluated on different road surfaces. The results show that the proposed algorithm can identify the variation of road conditions with considerable accuracy and response speed.

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Fundamental study of smart tire system

Cited by 10 publications

References 1 publication

Vehicle Dynamics Control of In-wheel Electric Motor Drive Vehicles Based on Averaging of Tire Force Usage

Vehicle Dynamics Control of In-wheel Electric Motor Drive Vehicles Based on Averaging of Tire Force Usage

Wireless Monitoring of Automobile Tires for Intelligent Tires

Development and Verification of the Tire/Road Friction Estimation Algorithm for Antilock Braking System

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