发明名称 Adaptive Machine Learning Method To Predict And Control Engine Combustion
摘要 A method is provided for controlling an internal combustion engine on a cycle-by-cycle basis. The method includes: maintaining training data used to identify a mapping function for the engine; populating a buffer with adaptive data for a given cylinder, where the adaptive data are measures of the inputs and the output of the mapping function that were captured during a number of recent operating cycles of the given cylinder; combining training data for the mapping function with the adaptive data; identifying the mapping function from the combined data set using a weighted least squares method; predicting a combustion feature of the given cylinder in the next cycle using the mapping function and measures of the inputs during the present cycle; and controlling the engine based in part on the predicted combustion feature of the given cylinder in the next cycle using one or more actuators.
申请公布号 US2016025028(A1) 申请公布日期 2016.01.28
申请号 US201514806037 申请日期 2015.07.22
申请人 The Regents of The University of Michigan 发明人 Vaughan Adam
分类号 F02D41/26;F02D35/02;F02D41/00;F02D41/14 主分类号 F02D41/26
代理机构 代理人
主权项 1. A method for controlling an internal combustion engine on a cycle-by-cycle basis, comprising: (a) providing, by a controller, a mapping function which defines a relationship between inputs and an output associated with the internal combustion engine, where the output is a given combustion feature of a given cylinder in the engine at a next cycle and the inputs include the given combustion feature of the given cylinder in a present cycle and parameters indicative of mixture state and composition or engine actuator settings from one cycle to the next cycle; (b) maintaining, by the controller, training data used to identify the mapping function in a data store associated with the controller; (c) populating, by the controller, a buffer with adaptive data for the given cylinder, where the adaptive data are measures of the inputs and the output of the mapping function that were captured during a number of recent operating cycles of the given cylinder; (d) combining, by the controller, the training data with the adaptive data to form a combined data set; (e) identifying, by the controller, the mapping function from the combined data set using a weighted least squares method; (f) predicting, by the controller, the given combustion feature of the given cylinder in the next cycle using the mapping function and measures of the inputs during the present cycle; and (g) controlling, by the controller, the engine based in part on the predicted combustion feature of the given cylinder in the next cycle using one or more actuators.
地址 Ann Arbor MI US