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Modelling and Simulation of Skid Prediction in a Passenger Car

Publication Type : Journal Article

Thematic Areas : Automotive Research & Technology Centre

Publisher : International Journal of Recent Technology and Engineering (IJRTE)

Source : International Journal of Recent Technology and Engineering (IJRTE) , Volume 8, Issue 2s3 (2019)

Url : https://www.ijrte.org/wp-content/uploads/papers/v8i2S3/B11600782S319.pdf

Campus : Coimbatore

School : School of Engineering

Center : Automotive Center

Department : Mechanical Engineering

Year : 2019

Abstract : The vehicle handling is defined as the responsiveness of a vehicle to the driver input. The driver and vehicle is a closed loop system where the driver observes the direction or position of the vehicle in order to correct his input to achieve the desired motion. It is required for the driver to safely ride the vehicle particularly during cornering, acceleration and braking in order to avoid skidding. The skid occurring in a vehicle is a condition in automobile handling where one or more tyres slip relative to the road and the overall vehicle handling gets affected. Tire slip and related slip angle describe the performance of an individual tire. The cornering behaviour of a vehicle is one of the important modes in handling. In this project, a mathematical model is build using MATLAB-SIMULINK for a passenger car undergoing cornering. The steer angles for various speeds and radius of turns are determined and the results are displayed in the form of graphs. An app is designed using the MATLAB app designer which predicts the type of skid- under steer, over steer or neutral steer while the vehicle is undergoing cornering. This system is then simulated in the real time environment with the help of IPG Carmaker and driving scenario designer app in MATLAB and the corresponding results are noted.

Cite this Research Publication : Srinivaas A. and M, S., “Modelling and Simulation of Skid Prediction in a Passenger Car”, International Journal of Recent Technology and Engineering (IJRTE) , vol. 8, no. 2s3, 2019.

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