An engine includes a first injection valve, which is one of port and direct injection valves, and a second injection valve, which is the other. When operating only the first injection valve based on a base injection amount, which has been corrected using a feedback operation amount and a first learning value, an air-fuel ratio control apparatus updates the first learning value and determines that the first learning value has converged on condition that a correction ratio of the base injection amount is not more than a predetermined ratio. When the first and second injection valves are being operated, the apparatus updates a second learning value for the second injection valve on condition that the first learning value has converged and the ratio of the injection amount of the second injection valve is not less than a specified value.

A method for model-based open-loop and closed-loop control of an internal combustion engine, in which method injection system setpoint values for activating the injection system control elements are calculated dependent on a setpoint torque by a combustion model, and gas path setpoint values for activating the gas path control elements are calculated by a gas path model. The combustion model is adapted during ongoing operation of the internal combustion engine. A quality measure is calculated by an optimizer dependent on the injection system setpoint values and the gas path setpoint values, the quality measure is minimized by the optimizer by varying the injection system setpoint values and gas path setpoint values within a prediction horizon. The injection system setpoint values and gas path setpoint values are set by the optimizer, based on the minimized quality measure, as being definitive for setting of the operating point of the internal combustion engine.

A method of correcting a fuel injection quantity of a vehicle corrects the fuel injection quantity prior to activation of a lambda sensor when an engine is turned on. Additionally, the method increases a speed for activating a catalyst to reduce a harmful substance in exhaust gas at the beginning of engine starting.

A method determines an inflection point OP of a parameter profile i, n which is representative of a component tolerance and a state of wear of a fuel pump. The fuel pump is provided for a fuel supply system for use in a device equipped with an internal combustion engine. The device being a passenger car, utility vehicle and/or a stationary or mobile power generator.

A method for calibrating a fuel pump for use in a fuel supply system of a device having internal combustion engine includes determining a tolerance-conditioned and wear-conditioned deviation of the fuel pump with respect to its delivery behavior so that the calibration permits energy-consumption-optimized actuation of the fuel pump.

First ECUs and second ECU of a control system of an internal combustion engine is configured to: output a predicted value of an output parameter by using a learning model if actually measured values of input parameters are input; and control an internal combustion engine based on this predicted value, the first ECUs is configured to: learn a learning model; and transmit first vehicle information including a usage environment and usage state of the first vehicle and the learned learning model linked with each other, and the second ECU is configured to receive the learned learning models, and wherein the second ECU is configured to use a learned learning model linked with the first vehicle information closest to the usage environment and usage state of the second vehicle.

A method of correcting a fuel injection quantity of a vehicle corrects the fuel injection quantity prior to activation of a lambda sensor when an engine is turned on. Additionally, the method increases a speed for activating a catalyst to reduce a harmful substance in exhaust gas at the beginning of engine starting.

Methods and systems are provided for cleaning a fuel vapor storage canister positioned in an evaporative emissions control system of a vehicle. In one example, a method comprises sealing a fuel system of the vehicle for descending an altitude change that is predicted in advance, and subsequent to the vehicle descending the altitude change, unsealing the fuel system to passively purge fuel vapors stored in the fuel vapor storage canister to a fuel tank of the vehicle. In this way, bleed through emissions from the fuel vapor storage canister may be reduced, and engine operation may be improved.

The subject matter of this specification can be embodied in, among other things, a method for characterizing a fluid injector that includes receiving a collection of waveform data, identifying a pull locus, determining a detection threshold level value, identifying a first subset of the collection of data representative of a selected first electrical waveform of the collection of electrical waveforms, identifying an opening value, identifying a representative closing value, identifying an anchor value, identifying a second subset of the collection of data based on the collection of data, the pull locus, the first subset, and the opening value, identifying a maximum electrical value, identifying an opening locus based the collection of data, the anchor value, and the maximum electrical value, identifying a hold value, and providing characteristics associated with the fluid injector comprising the pull locus, the opening locus, the hold value, the anchor value, and the representative closing value.

The air-fuel ratio feedback control section updates an air-fuel ratio feedback correction value. The air-fuel ratio learning control section performs, in each of learning regions, learning of an air-fuel ratio learning value. If the air-fuel ratio feedback correction value converges to a value less than or equal to a specified value, the air-fuel ratio learning control section determines that learning of the air-fuel ratio learning value in the learning region has been completed. If it has not yet been determined that learning of the air-fuel ratio learning value has been completed in any of the learning regions, the air-fuel ratio learning control section collectively updates the air-fuel ratio learning values of all the learning regions at the time of updating the air-fuel ratio learning value through learning in any of the learning regions.