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公开(公告)号：US20230133128A1
公开(公告)日：2023-05-04
申请号：US17973082
申请日：2022-10-25
IPC分类号： F02D41/00
摘要： A control device includes a controller configured to: obtain a driving condition and an actual value of a controlled amount of an engine; use a transformed engine model to calculate an estimate value of a future controlled amount, from the obtained driving condition and a candidate value of an operation amount for controlling the controlled amount, the transformed engine model in which an activation function of each neuron is transformed using a linear inequality function having a binary variable, the transformed engine model for which a weight coefficient, bias, and upper and lower limits of an input/output variable of the each neuron are set based on an engine model that has a multilayer neural structure and the activation function of a ReLU structure, receives the driving condition and operation amount as input, and predicts dynamic characteristics of the engine; determine a value of the operation amount, based on error between the calculated estimate value and a target value of the controlled amount identified from the driving condition.
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公开(公告)号：US20230138137A1
公开(公告)日：2023-05-04
申请号：US17972873
申请日：2022-10-25
IPC分类号： B60W30/095 , B60W50/00
摘要： A control device calculates a first estimate value of a first monitored amount of a mobile object, from sensor information of a controlled object, using a transformed first model obtained by transformation of a first model having a multi-layered neural structure and activation functions of a ReLU structure, and predicting dynamic behavior of the mobile object. The transformed first model is a model for which weight coefficients, biases, and upper and lower limit values of input/output variables of neurons are set based on the first model and in which activation functions of the neurons are transformed using a linear inequality function having a binary variable. The control device calculates a second estimate value of a second monitored amount of the controlled object from a candidate value of an operation amount for controlling the second monitored amount. The control device determines a value of the operation amount based on a target value of the second monitored amount, the second estimate value, and the first estimate value.
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公开(公告)号：US20230063634A1
公开(公告)日：2023-03-02
申请号：US17891624
申请日：2022-08-19
申请人： TRANSTRON INC.
发明人： Masatoshi OGAWA , Takuma DEGAWA
IPC分类号： G01M15/05
摘要： An engine test method that causes a computer to execute a process including, acquiring, by a processer on the computer, a first test pattern in which an operation variable that is used for an engine test is changed in time series, inputting, based on the first test pattern, a first operation variable to a mathematical model that represents a time series response of an engine obtained by inputting a test pattern as a simulation of the engine test, monitoring, as a first monitoring parameter of engine abnormality, at least one of an air excess ratio, pressure and temperature of an intake manifold, pressure and temperature of an exhaust manifold, and a maximum cylinder pressure rise rate that are obtained by inputting the first operation variable to the mathematical model, holding, when the first monitoring parameter exceeds a first threshold value, the first operation variable until the first monitoring parameter is less than the first threshold value, creating, a history of the first operation variable in the simulation as a second test pattern, monitoring, as a second monitoring parameter, at least one of the air excess ratio, the pressure and the temperature of the intake manifold, the pressure and the temperature of the exhaust manifold, and the maximum cylinder pressure rise rate that are obtained by inputting a second operation variable to a real engine based on the second test pattern, holding, when the second monitoring parameter exceeds a second threshold value, the second operation variable until the second monitoring parameter is less than the second threshold value, and acquiring, time series data of the second operation variable and a controlled variable.
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4.发明申请公开(公告)号：US20200217259A1
公开(公告)日：2020-07-09
申请号：US16824593
申请日：2020-03-19
申请人： TRANSTRON INC.
发明人： Masatoshi OGAWA , Hiromitsu SONEDA
摘要： An injector injection amount control device includes: acquiring a measured value of a crank angle that is a rotation angle of a crankshaft of an engine, determining instruction injection amounts of fuel from respective injectors, the respective injectors corresponding to a plurality of cylinders of the engine, estimating a torque arising in each of the plurality of cylinders of the engine based on a non-linear Kalman filter employing an error between the acquired measured value of the crank angle and an estimate value of the crank angle, and correcting the instruction injection amounts for the respective injectors corresponding to the plurality of cylinders such that each of the plurality of estimated torques falls within the same range.
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公开(公告)号：US20230126014A1
公开(公告)日：2023-04-27
申请号：US17949531
申请日：2022-09-21
申请人： TRANSTRON INC.
发明人： Masatoshi OGAWA , Takuma DEGAWA
摘要： An engine control device includes a model that, based on engine operating condition and first-type operation amount, reproduces at least one index from among various indexes of combustion state of engine, and a processor that executes a process including deciding on second-type operation amount, by optimization using the model so as to treat at least one of the indexes, which are reproduced by the model, as estimated value of control amount, and ensure that the estimated value of the control amount follows control target value, associating the second-type operation amount with the control target value and the engine operating condition, rewriting a learning control table in which operation amount corresponding to the control target value and the engine operating condition is registered, and calculating operation amount according to the learning control table based on the control target value and the engine operating condition.
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公开(公告)号：US20210390412A1
公开(公告)日：2021-12-16
申请号：US17461098
申请日：2021-08-30
申请人： TRANSTRON INC.
发明人： Noriyasu ASO , Masatoshi OGAWA
摘要： A method for generating a neural network model, the method includes acquiring first time series data having a first period that is shorter than an operation period of the neural network model; extracting, from the first time series data, a plurality of sets of second time series data having a second period that is longer than the first period; and executing training on the neural network model using training data that include the plurality of sets of second time series data.
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7.发明申请公开(公告)号：US20210372334A1
公开(公告)日：2021-12-02
申请号：US17399890
申请日：2021-08-11
申请人： TRANSTRON INC.
发明人： Masatoshi OGAWA , Hiromitsu SONEDA
IPC分类号： F02D41/00
摘要： An engine torque estimating apparatus having a processor and a memory accessed by the processor. The processor performs a torque estimating that calculates time series data of an estimated indicated torque, based on a crank angle having been extracted from an output of a crank angle sensor of an engine including a plurality of cylinders; an estimated indicated torque-related value extracting that extracts an estimated indicated torque-related value, for each of the cylinders, from the time series data of the estimated indicated torque, for each of the cylinders; and average indicated torque correct value acquiring that converts, for each of the cylinders, the estimated indicated torque-related value into an average indicated torque correct value having been calculated based on a cylinder internal state of the engine in correspondence to the estimated indicated torque-related value.
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公开(公告)号：US20190354072A1
公开(公告)日：2019-11-21
申请号：US16414647
申请日：2019-05-16
申请人： TRANSTRON INC
发明人： Masatoshi OGAWA , Takuma DEGAWA
摘要： A control parameter computation method includes, by a processor, identifying, for each time segment, a plurality of mathematical models of different structures. The method also includes, computing an adaptiveness representing a level of adaptation between a time series of the computed control variable predicted values and time series data of the control variable in the paired data corresponding to the time segments different from the time segment employed in the identification. The method also includes, selecting, as a mathematical model for the paired data of the time segment. The method also includes, configuring a PID controller, generating a transfer function represented by a product of the PID controller and the selected mathematical model, and generating a function representing a gain margin of the transfer function and a function representing a phase margin of the transfer function. The method also includes computing a parameter Lambda.
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