冯海娣1，刘军1，孙楠楠2，陈秀明1，于云1，孙启航1
1.潍柴动力股份有限公司，山东潍坊261061;2.潍柴重机股份有限公司，山东潍坊261108
摘要：为解决目前润滑油黏度检测离线采样不便、检测周期长、不能及时有效反映润滑油使用状况等问题，提出基于润滑油温度和压力的润滑油黏度在线估计模型。通过研究润滑油黏度与压力、黏度与温度的变化关系，发现在发动机怠速工况、润滑油温为80～100 ℃时，润滑油黏度和温度近似呈线性关系。建立怠速工况、油温为80～100 ℃时的润滑油黏度线性在线估计模型，并通过试验对模型进行验证，润滑油在线估计黏度与离线采样测量之间的相对误差小于5%，满足精度要求。
关键词：润滑油；黏度；在线检测
Abstract：In order to solve the problems of inconvenient sampling, long detection period and unable to reflect the use status of lubricating oil timely and effectively, an online viscosity prediction model based on temperature and pressure of lubricating oil is proposed. There is a linear relationship between the viscosity and temperature of lubricating oil when the engine idles and the lubricating oil temperature is 80~100 ℃ by studying the relationship between viscosity and pressure, viscosity and temperature. The linear online estimation model of lubricating oil viscosity is established under idle condition and oil temperature of 80~100 ℃. The experimental results show that the error between estimated viscosity and offline sampling measurement is less than 5%, which meets the accuracy requirements.
Keywords:lubricating oil; oil viscosity; online prediction
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