For optimizing the performance of vehicles, tire force and moment data generated by a tire testing machine is crucial to automotive manufacturers. The data representation should involve more than the transmittal of raw data. Conceivable representation of data enables tire manufacturers to improve and optimize their tire design. It involves heavy post processing to generate tire curves and plots. This thesis report describes the development of an algorithm for tire data modelling and curve fitting. Later, it presents the layout design required for test report generation. The presented algorithm imports the data from a LabVIEW program. After post processing like, converting data files into a MATLAB readable format, rearranging it for creation of various tire curves and curve fitting using Pacejka equation, entire tire test is saved into a single computer file for circulation within the organization. A Simulink GUI called "MATLAB Report Generator" is used to generate reports. Before it can generate required reports, a specific layout is designed according to guidelines from SAE and insights from the research advisor. This comprehensive report can serve as a guide for tire data modelling and any improvements related to it. Finally,the processed data is compared to the actual tire data from a tire manufacturer. Ultimately it proves that, although 46 years old, the M-15 still is capable of 6 running tire tests with fairly good accuracy.
