Research on Fitting Method of Characteristic Curve of Coolant Temperature Sensor Based on MATLAB

Abstract

The best fitting method: the least square method is selected by comparing the advantages and dis-advantages of curve fitting in this paper and the least square method integrated in MATLAB soft-ware is used to compare the results of characteristic curve fitting of each order of least square method, so that the characteristic curve equation of coolant temperature sensor is closer to the real one. The results show that the effect of the characteristic curve obtained by the fifth order fitting is ideal.