A control device comprises a catalyst warmup control part configured to supply electric power to a conductive base to warm up a catalyst device. The catalyst warmup control part is provided with a first estimating part configured to estimate a temperature of the conductive base based on an engine operating state, a second estimating part configured to estimate a temperature of the conductive base based on a resistance value of the conductive base detected when supplying current to the conductive base, and an electric power control part configured to control an amount of electric power supplied to the conductive base when warming up the catalyst device based on a result of comparison of magnitudes of a first estimated temperature of the conductive base estimated by the first estimating part and a second estimated temperature of the conductive base estimated by the second estimating part.

A method for controlling an internal combustion engine system including a catalyst includes receiving a desired output for an internal combustion engine, and receiving sensor information including information indicative of a temperature of the catalyst. The method includes calculating a plurality of sets of engine performance values based on respective sets of candidate control points, the engine performance values including a temperature change rate at which the temperature of the catalyst changes over time, and determining whether the temperature change rate satisfies a minimum warmup rate for the catalyst. The method also includes controlling the internal combustion engine based on a selected set of candidate control points and the minimum warmup rate.

Systems, methods, and apparatuses for adaptive regeneration of aftertreatment system components. The system may include an aftertreatment system and a controller. The controller is configured to access one or more parameters indicative of an ambient condition, determine a regeneration type of a regeneration process for a component of the aftertreatment system, determine an application in condition, and modify a parameter for the regeneration process for the component of the aftertreatment system. In some instances, the controller initiates the regeneration process. In some instances, the one or more parameters include an ambient air temperature, a reductant tank temperature, or a particulate matter sensor temperature. In some instances, the modified parameter includes a target regeneration temperature, a regeneration duration, a dwell time between regeneration process, a threshold value for the regeneration process, or a minimum regeneration temperature.

A work vehicle may include an internal combustion engine, aftertreatment system, and at least one controller. The controller is configured to use a temperature of the aftertreatment system to determine a hydrocarbon level of the aftertreatment system, and set an idle speed of the engine to high idle if the hydrocarbon level is above a hydrocarbon ceiling, to ultra-low idle if the hydrocarbon level is below a hydrocarbon floor, and to low idle if the hydrocarbon level is between the hydrocarbon floor and the hydrocarbon ceiling.

An internal combustion engine includes a state determination device. The state determination device includes a storage device and an execution device. The execution device executes an acquisition process, and a determination process. The execution device executes a guard process of bringing an internal combustion engine state variable closer to an allowable range or a value within the allowable range when the internal combustion engine state variable acquired in the acquisition process is out of the predetermined allowable range. The execution device determines the state of the internal combustion engine based on the internal combustion engine state variable after the guard process in the subsequent determination process when the guard process is executed.

A state estimation device for an internal combustion engine includes: a storage device that stores mapping data, the mapping data being data defining a mapping that takes as an input an internal combustion engine state variable and that generates as an output an estimated value for estimating the state of the internal combustion engine; and an execution device that executes an acquisition process of acquiring the internal combustion engine state variable and an estimation process of calculating the estimated value based on the output of the mapping. The mapping data is data learned by machine learning. When the estimated value is out of an acceptable range, the execution device executes a guard process of adjusting the estimated value to a value close to or within the acceptable range. When executing the guard process, the execution device calculates the value after the guard process as the estimated value.

An in-vehicle control device carries out fuel cut-off for stopping fuel injection from a fuel injection valve when a prescribed fuel cut-off condition including that a lockup clutch with which a torque converter is equipped is engaged and that an accelerator is off is fulfilled. Besides, the in-vehicle control device performs a fuel cut-off suspension process for carrying out fuel injection from the fuel injection valve and releasing the lockup clutch when there is a request to suspend fuel cut-off with the accelerator off. Also, the in-vehicle control device performs a speed increase process for performing shift control of an automatic transmission such that the rotational speed of a turbine impeller with which the torque converter is equipped becomes higher while the fuel cut-off suspension process is performed than when fuel cut-off is carried out.

A method and system for controlling temperature in an exhaust gas routing system of an internal combustion engine is provided. The exhaust gas routing system includes an exhaust gas manifold, an exhaust gas turbine which includes an electric machine arranged downstream of the exhaust gas manifold in the exhaust gas stream, an aftertreatment system arranged downstream of the exhaust gas turbine, and a control means configured to control the operation of the electric machine to adapt an operating mode of the exhaust gas turbine between motor operating, regeneration operating and neutral operating modes control means (50) such that the temperature of the aftertreatment system is controlled based on a target temperature.

The abnormality diagnosis system 1, 1, 1 of an ammonia detection device 46, 71 comprises: an air-fuel ratio detection device 41, 72 arranged in the exhaust passage 22 at the downstream side of the catalyst 20; an air-fuel ratio control part 51 configured to control an air-fuel ratio of exhaust gas; and an abnormality judgment part 52 configured to judge abnormality of the ammonia detection device. The air-fuel ratio control part performs rich control making the air-fuel ratio of the inflowing exhaust gas richer than a stoichiometric air-fuel ratio. The abnormality judgment part judges that the ammonia detection device is abnormal if, after start of the rich control, an output value of the ammonia detection device does not rise to a reference value before the air-fuel ratio detected by the air-fuel ratio detection device falls to a rich judged air-fuel ratio richer than a stoichiometric air-fuel ratio.

A vehicle learning system includes a first execution device mounted on a vehicle, a second execution device outside the vehicle, and a storage device. The storage device stores mapping data including data, which is learned by machine learning and defines mapping that receives input data based on a detection value of an in-vehicle sensor and outputs an output value. The first execution device and the second execution device execute, in cooperation with each other, an acquisition process of acquiring input data, a calculation process of calculating an output value with the input data as an input of the mapping, and a relationship evaluation process of evaluating a relationship between a predetermined variable different from a variable corresponding to the output value and accuracy of the output value. The first execution device executes at least the acquisition process, and the second execution device executes at least the relationship evaluation process.