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    • 1. 发明授权
    • Oil condition trend algorithm
    • 油状态趋势算法
    • US06509749B1
    • 2003-01-21
    • US09929786
    • 2001-08-14
    • Carlos BuelnaLorenzo Guadalupe RodriguezAxel H Berndorfer
    • Carlos BuelnaLorenzo Guadalupe RodriguezAxel H Berndorfer
    • G01R2708
    • F16N29/04F01M11/10F01M2011/14F01M2011/1413
    • An algorithm by which a time normalized oil condition trend (OCT) is developed. During engine off periods, while the engine is cooling, the vehicle's main computer program implements the trend algorithm according to the present invention by which engine oil conductivity (oil sensor output voltage) and temperature data are obtained in a specified temperature range, and are then input into a cool down equation to determine its coefficients using nonlinear regression. This cool down equation models oil conductivity as a function of temperature and is used at a specified time during an engine-on period to calculate an OCT point. Collectively, these OCT points determine the oil condition trend that is analyzed by a procedure called from the vehicle's main computer program to determine when an oil change is necessary.
    • 开发了时间归一化油状况趋势(OCT)的算法。 在发动机关闭期间,当发动机冷却时,车辆的主计算机程序实现根据本发明的趋势算法,通过该趋势算法在特定的温度范围内获得发动机机油导度(油传感器输出电压)和温度数据,然后 输入到冷却方程中以使用非线性回归来确定其系数。 该冷却方程将油电导率作为温度的函数建模,并在发动机启动期间的指定时间使用以计算OCT点。 总的来说,这些OCT点确定了通过车辆主计算机程序调用的程序分析的油状况趋势,以确定何时需要换油。