Methods and systems are provided for diagnosing whether one or more intake air oxygen sensors positioned in an intake of an engine of a vehicle, are functioning as desired. In one example, a method comprises injecting fuel into one or more cylinders of the engine without combustion, routing un-combusted hydrocarbons from the one or more cylinders to the intake via a crankcase ventilation system, and indicating whether the one or more intake air oxygen sensors are functioning as desired based on a response of the one or more intake air oxygen sensors. In this way, the one or more intake air oxygen sensors may be periodically diagnosed which may improve engine operation, and reduce engine degradation, particularly with regard to hybrid electric vehicles with limited engine run-time.

A fuel injector controller is disclosed. The fuel injector controller may determine respective values of a set of parameters of the engine; process, using a neural network, the respective values to determine a target fuel output of a fuel injector, wherein the neural network is configured to determine the target fuel output based on the set of parameters being an input layer of the neural network; determine, based on an output of the neural network, the target fuel output; and provide the determined target fuel output to the fuel injector to permit the fuel injector to inject fuel according to the target fuel output.

A fuel injector controller is disclosed. The fuel injector controller may determine respective values of a set of parameters of the engine; process, using a neural network, the respective values to determine a target fuel output of a fuel injector, wherein the neural network is configured to determine the target fuel output based on the set of parameters being an input layer of the neural network; determine, based on an output of the neural network, the target fuel output; and provide the determined target fuel output to the fuel injector to permit the fuel injector to inject fuel according to the target fuel output.

Methods and systems are provided for increasing engine power via partial engine enrichment and exhaust gas recirculation. In one example, a method may include enriching a first set of engine cylinders and enleaning a second, remaining set of the engine cylinders, exhaust gas from the first set and the second set producing a stoichiometric mixture at a downstream emission control device, and providing exhaust gas recirculation (EGR) to an intake passage of the engine from the first set of cylinders and not from the second set. In this way, cooling effects from the partial enrichment and the EGR enable engine air flow, and thus engine power, to be increased while an efficiency of the emission control device is maintained, thereby decreasing vehicle emissions.

Methods and systems are provided for increasing engine power via partial engine enrichment and exhaust gas recirculation. In one example, a method may include enriching a first set of engine cylinders and enleaning a second, remaining set of the engine cylinders, exhaust gas from the first set and the second set producing a stoichiometric mixture at a downstream emission control device, and providing exhaust gas recirculation (EGR) to an intake passage of the engine from the first set of cylinders and not from the second set. In this way, cooling effects from the partial enrichment and the EGR enable engine air flow, and thus engine power, to be increased while an efficiency of the emission control device is maintained, thereby decreasing vehicle emissions.

An engine controller to control a plurality of engines is disclosed. The engine controller may identify a plurality of engines configured to provide power to a load, wherein the plurality of engines have a first set of priorities associated with providing the power to the load; receive a plurality of parameters from a plurality of monitoring devices monitoring the plurality of engines; calculate a plurality of metrics corresponding to the plurality of engines based on the plurality of parameters; determine, based on the plurality of metrics, that a switching condition is satisfied to switch from the first set of priorities to a second set of priorities for the plurality of engines; determine the second set of priorities for the plurality of engines based on the plurality of metrics; and cause the plurality of engines to provide respective amounts of power to the load based on the second set of priorities.

An engine controller to control a plurality of engines is disclosed. The engine controller may identify a plurality of engines configured to provide power to a load, wherein the plurality of engines have a first set of priorities associated with providing the power to the load; receive a plurality of parameters from a plurality of monitoring devices monitoring the plurality of engines; calculate a plurality of metrics corresponding to the plurality of engines based on the plurality of parameters; determine, based on the plurality of metrics, that a switching condition is satisfied to switch from the first set of priorities to a second set of priorities for the plurality of engines; determine the second set of priorities for the plurality of engines based on the plurality of metrics; and cause the plurality of engines to provide respective amounts of power to the load based on the second set of priorities.

A fuel injector controller is disclosed. The fuel injector controller may determine respective values of a set of parameters of the engine; process, using a neural network, the respective values to determine a target fuel output of a fuel injector, wherein the neural network is configured to determine the target fuel output based on the set of parameters being an input layer of the neural network; determine, based on an output of the neural network, the target fuel output; and provide the determined target fuel output to the fuel injector to permit the fuel injector to inject fuel according to the target fuel output.

A fuel injector controller is disclosed. The fuel injector controller may determine respective values of a set of parameters of the engine; process, using a neural network, the respective values to determine a target fuel output of a fuel injector, wherein the neural network is configured to determine the target fuel output based on the set of parameters being an input layer of the neural network; determine, based on an output of the neural network, the target fuel output; and provide the determined target fuel output to the fuel injector to permit the fuel injector to inject fuel according to the target fuel output.

An engine control device for controlling an engine of a vehicle includes a microcomputer for executing an engine control process, and an abnormality detection unit for detecting an abnormality of the microcomputer. A reset execution unit executes a process of causing an external monitor IC to reset the microcomputer on condition that the abnormality of the microcomputer is detected and an engine rotation speed is higher than a threshold engine speed value. The microcomputer may alternatively be reset on condition that a vehicle speed is higher than a threshold vehicle speed value, or that all or a part of torque output from the engine is able to be supplemented by another vehicle drive power source.