A method for predicting soot build-up in an engine system when operating according to an intended drive cycle. The engine system includes an internal combustion engine and an exhaust gas aftertreatment system provided with a particulate filter. The method includes providing data representing engine operational conditions for the internal combustion engine during the intended drive cycle, wherein the data comprises values for at least engine speed and engine torque distributed over a time period representing the intended drive cycle; determining a working temperature for the exhaust gas aftertreatment system during the intended drive cycle based on the data representing the engine operational conditions; providing a reference relation between working temperature of the exhaust gas aftertreatment system and a corresponding estimated magnitude of a build-up of soot in the exhaust gas aftertreatment system; and predicting soot build-up in the engine system when operating according to the intended drive cycle by comparing the determined working temperature for the exhaust gas aftertreatment system with the reference relation.

A method for predicting soot build-up in an engine system when operating according to an intended drive cycle. The engine system includes an internal combustion engine and an exhaust gas aftertreatment system provided with a particulate filter. The method includes providing data representing engine operational conditions for the internal combustion engine during the intended drive cycle, wherein the data comprises values for at least engine speed and engine torque distributed over a time period representing the intended drive cycle; determining a working temperature for the exhaust gas aftertreatment system during the intended drive cycle based on the data representing the engine operational conditions; providing a reference relation between working temperature of the exhaust gas aftertreatment system and a corresponding estimated magnitude of a build-up of soot in the exhaust gas aftertreatment system; and predicting soot build-up in the engine system when operating according to the intended drive cycle by comparing the determined working temperature for the exhaust gas aftertreatment system with the reference relation.

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.

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.

A system and method for reducing data noise for vehicle monitoring sensors using parameter-based correction, the system including An embodiment system includes a sensor operable to make a sensor reading and generate a sensor signal, and a data server operable to acquire a condition indicator model correlating operational parameters with condition indicators, and to acquire a current condition indicator according to the sensor signal, the data server further operable to generate an adjusted condition indicator by adjusting the current condition indicator according to the condition indicator model, and to determine whether an alert condition is indicated, according to at least the adjusted condition indicator, by a condition indicator set that includes the adjusted condition indicator, and to provide an alert in response to determining that the alert condition is indicated.

A system and method for reducing data noise for vehicle monitoring sensors using parameter-based correction, the system including An embodiment system includes a sensor operable to make a sensor reading and generate a sensor signal, and a data server operable to acquire a condition indicator model correlating operational parameters with condition indicators, and to acquire a current condition indicator according to the sensor signal, the data server further operable to generate an adjusted condition indicator by adjusting the current condition indicator according to the condition indicator model, and to determine whether an alert condition is indicated, according to at least the adjusted condition indicator, by a condition indicator set that includes the adjusted condition indicator, and to provide an alert in response to determining that the alert condition is indicated.

A classifier capable of predicting if cylinder valves of an engine commanded to activate or deactivate failed to activate or deactivate respectively. In various embodiments, the classifier can be binary or multi-class Logistic Regression, or a Multi-Layer Perceptron (MLP) classifier. The variable displacement engine can operate in cooperation with a variable displacement engine using cylinder deactivation (CDA) or skip fire, including dynamic skip fire and/or multi-level skip fire.

A classifier capable of predicting if cylinder valves of an engine commanded to activate or deactivate failed to activate or deactivate respectively. In various embodiments, the classifier can be binary or multi-class Logistic Regression, or a Multi-Layer Perceptron (MLP) classifier. The variable displacement engine can operate in cooperation with a variable displacement engine using cylinder deactivation (CDA) or skip fire, including dynamic skip fire and/or multi-level skip fire.

Systems and processes are provided for measuring carbon deposits on an engine. In some examples, a light source can be transmitted through a viewing window of an engine onto an area of an internal surface of the engine and reflected back through the viewing window and detected using an optical sensor. A topography of the area can be determined based, at least in part, on the reflected light source detected by the optical sensor and used to determine whether carbon deposits have increased, decreased, or remained constant on the area.

Systems and processes are provided for measuring carbon deposits on an engine. In some examples, a light source can be transmitted through a viewing window of an engine onto an area of an internal surface of the engine and reflected back through the viewing window and detected using an optical sensor. A topography of the area can be determined based, at least in part, on the reflected light source detected by the optical sensor and used to determine whether carbon deposits have increased, decreased, or remained constant on the area.