基于MATLAB的冷却液温度传感器特性曲线拟合方法研究  

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

作　　者：张志辉 刘明[1] 秦金龙 陈磊 

机构地区：[1]中国汽车工程研究院股份有限公司环保与健康测评研究中心,重庆

出　　处：《理论数学》2023年第2期319-324,共6页Pure Mathematics

摘　　要：本文通过对比各曲线拟合方法的优缺点,选择最优的拟合方法:最小二乘法,并利用MATLAB软件中集成的最小二乘法,对比各阶次最小二乘法特性曲线拟合结果,得到较理想的冷却液温度传感器特性曲线方程。对比结果表明五阶次拟合得到的特性曲线效果较理想。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.

关 键 词：最小二乘法 MATLAB软件 曲线拟合 特性曲线 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]