公开(公告)号：US20190285021A1

公开(公告)日：2019-09-19

申请号：US16299308

申请日：2019-03-12

Applicant: DENSO CORPORATION

Inventor： Hiroshi SUZUKI ,  Yasuhiro KAWAKATSU

IPC: F02D41/24 ,  F02D41/14

Abstract: In a control device for an internal combustion engine, a learning map includes at least one partitioned operating region. The at least one partitioned operating region corresponds to at least one of operating conditions of the internal combustion engine. The learning map includes a value of at least one control parameter stored in the at least one partitioned operating region. A control unit controls the internal combustion engine in accordance with the at least one control parameter. An updating unit learns a value of the at least one control parameter for the at least one of the operating conditions, thus performing an updating of the value of the at least one control parameter stored in the at least one partitioned operating region to the learned value. A partition changing unit changes a partition pattern of the learning map.

公开(公告)号：US20130304356A1

公开(公告)日：2013-11-14

申请号：US13886979

申请日：2013-05-03

Applicant: DENSO CORPORATION

Inventor： Yasuhiro KAWAKATSU ,  Noriaki IWASE

IPC: F02D41/14

CPC classification number: F02D41/008 ,  F02D41/1445 ,  F02D41/1456 ,  F02D41/1458 ,  F02D41/1473 ,  F02D41/2451 ,  F02D41/2461 ,  F02D41/248 ,  F02D41/26 ,  F02D2250/14

Abstract: When executing a Local-learning, an air-fuel ratio detecting time is corrected so that a dispersion of detection values of an air-fuel ratio sensor becomes a maximum value in one cycle of an engine. While executing a cylinder-by-cylinder air-fuel ratio control, a Global-learning is executed. In the Global-learning, the air-fuel ratio detecting time is corrected based on a relationship between a variation in estimated air fuel ratio of each cylinder and a variation in fuel quantity correction value of each cylinder. In the Global-learning, a computer computes a correlation coefficient between the variation in estimated air-fuel ratio and the variation in fuel quantity correction value of the cylinder for each case where the cylinder assumed to correspond to the estimated air fuel ratio is hypothetically varied in multiple ways. Then, the air-fuel ratio detecting time is corrected so that this correlation coefficient becomes a maximum value.

Abstract translation: 当执行本地学习时，校正空燃比检测时间，使得空燃比传感器的检测值的偏差在发动机的一个循环中变为最大值。 在执行逐缸空燃比控制时，执行全局学习。 在全球学习中，基于每个气缸的估计空燃比的变化与每个气缸的燃料量校正值的变化之间的关系来校正空燃比检测时间。 在全球学习中，计算机计算出估计空燃比的变化与气缸的燃料量校正值的变化之间的相关系数，其中气缸假定与估计的空气燃料比相对应的每种情况是假设地变化的 在多种方式。 然后，校正空燃比检测时间，使得该相关系数成为最大值。

公开(公告)号：US20210301709A1

公开(公告)日：2021-09-30

申请号：US17345170

申请日：2021-06-11

Applicant: DENSO CORPORATION

Inventor： Hiroshi SUZUKI ,  Yasuhiro KAWAKATSU

IPC: F01N11/00

Abstract: A state estimation apparatus includes: a rate calculating configured to calculate, based on both a flow rate and an air-fuel ratio of exhaust gas flowing into an oxygen storage catalyst, a rate of change in an oxygen storage amount in the oxygen storage catalyst; a limit calculating unit configured to calculate a limit rate which is a limit value for the rate of change; and a storage-amount updating unit configured to update, based on the rate of change and the limit rate, an estimated value of the oxygen storage amount. Moreover, the storage-amount updating unit is further configured to: update, when the rate of change does not exceed the limit rate, the estimated value based on the rate of change; and update, when the rate of change exceeds the limit rate, the estimated value based on the limit rate.

公开(公告)号：US20170089277A1

公开(公告)日：2017-03-30

申请号：US15372807

申请日：2016-12-08

Applicant: DENSO CORPORATION

Inventor： Yasuhiro KAWAKATSU ,  Noriaki IWASE

IPC: F02D41/00 ,  F02D41/26 ,  F02D41/14

CPC classification number: F02D41/008 ,  F02D41/1445 ,  F02D41/1456 ,  F02D41/1458 ,  F02D41/1473 ,  F02D41/2451 ,  F02D41/2461 ,  F02D41/248 ,  F02D41/26 ,  F02D2250/14

Abstract: When executing a Local-learning, an air-fuel ratio detecting time is corrected so that a dispersion of detection values of an air-fuel ratio sensor becomes a maximum value in one cycle of an engine. While executing a cylinder-by-cylinder air-fuel ratio control, a Global-learning is executed. In the Global-learning, the air-fuel ratio detecting time is corrected based on a relationship between a variation in estimated air fuel ratio of each cylinder and a variation in fuel quantity correction value of each cylinder. In the Global-learning, a computer computes a correlation coefficient between the variation in estimated air-fuel ratio and the variation in fuel quantity correction value of the cylinder for each case where the cylinder assumed to correspond to the estimated air fuel ratio is hypothetically varied in multiple ways. Then, the air-fuel ratio detecting time is corrected so that this correlation coefficient becomes a maximum value.