A method for operating a drive train of a working machine, wherein a traction drive of the drive train is driven by an electric traction motor via a transmission and wherein, when a gear stage of the transmission is changed, a rotational speed of the traction motor is synchronised with the gear stage being engaged. The method further includes a computational model of the traction motor that is used for the rotational speed synchronisation. The model, taking into account a moment of inertia of the traction motor, describes a torque to be delivered for the rotational speed synchronisation. A corresponding drive train and a working machine is also disclosed.

The present invention relates to a method for determining engine operation parameter values during and/or after a gear shift operation prior to performing said gear shift operation. The method comprises the steps of, prior to the gear shift operation: determining initial conditions comprising torque demand and engine speed and certain other engine operation parameter values; providing said initial conditions to an engine operation simulation model; providing a torque development course as well as an engine speed development course during the intended gear shift operation to said engine operation simulation model; and determining desired engine operation parameter values by means of said engine operation simulation model based upon the information thus provided to said engine operation simulation model.

The present disclosure provides an engine stop/start control system for a vehicle comprising a first engine restart module configured to set a restart frequency and duration of an engine in response to a sensed ambient temperature, a second engine restart module configured to control the engine in response to a sensed characteristic temperature associated with the engine, a third engine restart module configured to control the engine in response to occurrence or non-occurrence of at least one expected charging event along a predefined route, a fourth engine restart module configured to control the engine in response to a state-of-charge of an energy storage device, and a route optimization module configured to set and adjust a proposed route to a destination that results in reduced engine usage.

A vehicle including an internal combustion engine and an automatic transmission capable of transmitting and receiving torque to and from an output shaft of the internal combustion engine is controlled. During operation of the internal combustion engine, a process that calculates a diluted water amount based on an operation state of the internal combustion engine is executed. The diluted water amount is the amount of water contained in lubricating oil in the internal combustion engine. Further, a process that controls the automatic transmission such that torque per unit period in the internal combustion engine becomes smaller when the diluted water amount is relatively large compared to when the diluted water amount is relatively small, while continuing the operation of the internal combustion engine, is executed.

Ground vehicle control techniques adapted to reduce energy consumption, braking, shifting, travel distance, travel time, and or the like. The techniques can generate a target speed window and a target vehicle performance plan for controlling operation of a ground vehicle along a current and one or more upcoming segments of a roadway responsive to the dynamic driving environment.

A system and method for compensation of turbo lag in hybrid vehicles is disclosed. The system identifies a zero boost power limit of the engine and a torque curve power limit. A turbocharger dynamic model is then developed based on measurements of the input engine power and the output max available engine power. The model is used to determine an overall propulsion power limit based on the combination of the engine and motor in operation. A power request by the driver may then be limited to the overall propulsion power limit to compensate for the effect of the turbocharger when propelling the vehicle using both the engine and motor and better simulate the engine-only response.

A hybrid electric vehicle includes an intelligent vehicle controller, an electric motor, a battery, an internal combustion engine (ICE), and an electrical generator coupled to the ICE configured to provide electricity to the battery and the electric motor. The intelligent vehicle controller receives ICE power level shifting data from the electrical generator, ICE, battery, and electric motor. The intelligent vehicle controller determines a desirable torque and/or a desirable revolutions per minute (RPM) for the ICE based on the received ICE power level shifting data by utilizing an efficiency map that includes fuel efficiency contours and noise, vibration, and/or harshness (NVH) level lines for the hybrid electric vehicle. The intelligent vehicle controller may have first and second vehicle operation modes, and may derive first and a second desirable power levels for the ICE in the first and second operation modes, based on the ICE power level shifting data.

There is a control system for a hybrid vehicle including an internal combustion engine including a throttle valve on an intake air passage, and a generator coupled to an output shaft of the engine. The control system includes a controller. The controller is configured to detect shaft torque of the output shaft of the engine by the generator, calculate an actual value of a throttle flow rate based on the shaft torque, the flow rate being an amount of air that flows through the throttle valve, and learn flow rate characteristics indicating a relationship between a throttle opening being a degree of opening of the throttle valve and the throttle flow rate, based on an actual value of the throttle opening and the actual value of the throttle flow rate.

The invention relates to a method for simulation-based analysis and/or optimization of a motor vehicle, preferably having the following working steps: simulating (SIOI) a driving operation of the motor vehicle (I) on the basis of a model (M) with at least one manipulated variable for acquiring values of at least one simulated variable which is suitable for characterizing an overall vehicle behaviour, in particular a driving capability, of the motor vehicle (I), wherein the model has at least one partial model, in particular a torque model, and wherein the at least one partial model is based on a function and preferably characterizes the operation of at least one component, in particular of an internal combustion engine of the motor vehicle (I); andoutputting (S I03) the values of the at least one simulated variable.

In one embodiment, when speed control command (e.g., throttle, brake commands) is issued based on a target speed, a first feedback parameters is determined based on an expected speed and an actual speed of the ADV in response to the speed control command. A second feedback parameter is determined by applying a speed control parameter adjustment (SCPA) model to a set of input parameters that are captured or measured at the point in time. The set of input parameters represents a driving environment of the ADV at the point in time. One or more control parameters of a speed controller of the ADV is adjusted based on the first feedback parameter and the second feedback parameter, where the speed controller is configured to generate and issue speed control commands. Subsequent speed control commands can be generated based on the adjusted speed control parameters of the speed controller.