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      • KCI등재

        NEW TYRE-ROAD CONTACT MODEL FOR APPLICATIONS AT LOW SPEED

        D. GARCIA-POZUELO,V. DIAZ,M. J. L. BOADA 한국자동차공학회 2014 International journal of automotive technology Vol.15 No.4

        Most of the tyre models have been developed for high speed, combined forces, etc., however, in certain testsit is necessary to know tyre behaviour at very low speed in order to evaluate different systems. So, during vehicle inspectionand maintenance of the steering and brake system, by means of sideslip tester and roller brake tester respectively, the forcestransmitted by the tyres are measured; all of these inspections are carried out at low speeds. Furthermore, usually, automobilevehicles run at low speeds during an important part of their operating life (less than 60 km/h), mainly during urban traffic, andin steady state conditions. Therefore, it is particularly interesting to develop an accurate model of the contact patch tyrepavementfor low speeds without the complexity of models that cover a wide speed range but provide less precision at verylow speeds. The dynamometer plate has proved to be an appropriate test equipment to characterise the tyre-pavement contactat low speed and the steering geometry and wheel alignment. It has the feature of being able to carry out tests with the tyreinstalled in the vehicle as in completely real conditions. The main aim of this research is to set up a contact model betweentyre and pavement at very low speed based on the measurement of longitudinal and lateral forces. A test methodology thatallows carrying out the experimental tests in a systematic and controlled way with the dynamometer plate has also beendeveloped. From this model it will be possible to estimate the forces that tyres are capable of transmitting in differentsituations to act in the parameters which affect these forces and maximize them.

      • KCI등재

        NEURAL-EMPIRICAL TYRE MODEL BASED ON RECURSIVE LAZY LEARNING UNDER COMBINED LONGITUDINAL AND LATERAL SLIP CONDITIONS

        M. J. L. BOADA,B. L. BOADA,D. GARCIA-POZUELO,V. DIAZ 한국자동차공학회 2011 International journal of automotive technology Vol.12 No.6

        The behaviour of the tyre plays an important role in the vehicle handling. An accurate tyre model that estimates these forces and moments it is highly essential for the studies of vehicle behaviour. For the last ten years neural networks have attracted a great deal of attention in vehicle dynamics and control. Neural networks have been effectively applied to model complex systems due to their good learning capability. In this paper a recursive lazy learning method based on neural networks is considered to model the tyre characteristics under combined braking and cornering. The proposed method is validated by comparison with experimental obtained responses. Results show the estimated model correlates very well with the data obtained experimentally. Moreover, the neural model proposed allows to include the asymetric tyre behaviour in the tyre model without difficulty.

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