发明名称 INTERNAL COMBUSTION ENGINE CONTROL DEVICE
摘要 This invention has an object to enable update of learning values of a large number of grid points in one session of a learning operation and also to easily adjust learning speed and efficiency in a wide learning region.;An engine 10 is provided with an ECU 60 for executing engine control by using various control parameters. The ECU 60 includes a learning map storing a learning value of the control parameter and executes weighting learning control of the learning value. In the weighting learning control, each time the control parameter is acquired, a weight wkij decreasing larger if a distance from a position of an acquired value zk of the control parameter to a grid point is larger is set to each of the grid points of the learning map. Then, on the basis of the acquired value zk of the control parameter and the weight wkij, the learning values Zij(k) at all the grid points are updated. As a result, all the learning values can be efficiently updated in one session of the learning operation.
申请公布号 US2015152804(A1) 申请公布日期 2015.06.04
申请号 US201214408352 申请日期 2012.06.26
申请人 Sakayanagi Yoshihiro;Sampei Mitsuji;Sekiguchi Kazuma;Tahara Kohei;Ito Hironori 发明人 Sakayanagi Yoshihiro;Sampei Mitsuji;Sekiguchi Kazuma;Tahara Kohei;Ito Hironori
分类号 F02D41/14;F02D28/00 主分类号 F02D41/14
代理机构 代理人
主权项 1. An internal combustion engine control device comprising: a learning map having a plurality of grid points and storing a learning value of a control parameter used for control of an internal combustion engine at each of the grid points, capable of being updated; weight setting unit for setting a weight of each grid point of the learning map when the control parameter is acquired and for decreasing the weight of the grid point as a distance from a reference position which is a position of the acquired value of the control parameter on the learning map to the grid point becomes larger; and weighting learning unit for executing weighting learning control for updating the learning value of the respective grid points so that, each time the control parameter is acquired, the larger the weight is, the more the acquired value of the control parameter is reflected in the learning value at all the grid points.
地址 Mishima-shi JP