A method is for calculating a management setpoint for the consumption of fuel and of electric current by a hybrid motor vehicle including at least one electric motor that is supplied with electric current by a traction battery and an internal combustion engine that runs on fuel. The method includes: dividing a journey into segments; acquiring attributes for each segment; for each segment, acquiring a relationship between the fuel and electrical consumption; determining an optimal consumption point in each acquired relationship to maximize discharging the traction battery over the segments for which use of the internal combustion engine is not authorized, minimize the fuel consumption of the hybrid motor vehicle over the entire journey, and maximize the discharging of the traction battery upon completion of the journey; and developing a setpoint for power management over the entire journey, according to the coordinates of the optimal points.

A control apparatus for a vehicle includes a determination unit that determines whether or not a start condition is established, the start condition including a torque converter is in a non-lock-up state and the vehicle is starting; and a display control unit that causes a virtual number of rotations to be displayed on a tachometer instead of an actual number of rotations when it is determined by the determination unit that the start condition is established. The display control unit calculates an acting number of rotations by referring to the actual number of rotations and a number of rotations on a driving wheel side relative to the torque converter in an automatic transmission, and causes the acting number of rotations to be displayed on the tachometer as the virtual number of rotations.

A method controls an energy equivalence factor of a motor vehicle including a heat engine and at least one electric motor powered by a storage battery. The method includes estimating a value of the energy equivalence factor proportional to a predetermined maximum value when the difference is lower than the threshold value or proportional to a predetermined minimum value when the difference is higher than the threshold value.

Mixed autonomous and manual control of a vehicle is provided. The vehicle can include an operational mode in which the vehicle operates autonomously but is influenced by a mix of autonomous control inputs and manual control inputs. A first weight can be assigned to manual control inputs, and a second weight can be assigned to autonomous control inputs. The assigned first and second weights can be applied to a vehicle system. Responsive to receiving a manual control input, the autonomous operation of the vehicle can be caused to be influenced by the received manual control input in an amount corresponding to the first weight without deactivating the autonomous operation of the vehicle.

The present disclosure relates to an apparatus (1) for estimation of a vehicle state. The apparatus (1) includes a controller (21) configured to determine a first estimation of the vehicle state in dependence on at least one first vehicle dynamics parameter. A filter coefficient (F.sub.C) is calculated based on a first vehicle operating parameter. An operating frequency of a first signal filter (35) is set in dependence on the determined filter coefficient (F.sub.C) and the first estimation is filtered to generate a first filtered estimation of the vehicle state. The present disclosure also relates to a vehicle; and to a method of estimating a vehicle state.

A vehicle is capable of disabling autonomous driving by identifying whether an intervention of a user has occurred during autonomous driving. The vehicle includes a steering wheel, a first sensor device configured to detect a steering torque of the steering wheel, a steering angle of the steering wheel, and a steering angular velocity of the steering wheel, and a second sensor device configured to detect a touch of a user applied to the steering wheel. When the vehicle travels in an emergency control state in which a deceleration/acceleration speed of the vehicle is greater than a predetermined first value during autonomous driving, if the touch of the user on the steering wheel is detected through the second sensor device, the emergency control state is disabled under certain conditions, and if the steering torque is greater than or equal to a predetermined torque value, autonomous driving is disabled.

A vehicle control method, system, and computer program product, includes determining a cognitive state of a driver of a vehicle, detecting an upcoming traffic signal at an intersection and a status of the upcoming traffic signal, identifying intersection data relating to the intersection with the upcoming traffic signal, and performing a vehicle control action on the vehicle at the intersection based on the cognitive state of the driver, the status of the upcoming traffic signal, and the intersection data.

A control apparatus for a vehicle includes a determination unit that determines whether or not a start condition is established, the start condition including a torque converter is in a non-lock-up state and the vehicle is starting; and a display control unit that causes a virtual number of rotations to be displayed on a tachometer instead of an actual number of rotations when it is determined by the determination unit that the start condition is established. The display control unit calculates an acting number of rotations by referring to the actual number of rotations and a number of rotations on a driving wheel side relative to the torque converter in an automatic transmission, and causes the acting number of rotations to be displayed on the tachometer as the virtual number of rotations.

A method for the performance-enhancing driver assistance of a road vehicle driven by a driver. The method comprises the steps of detecting a plurality of dynamic data (DD) of the vehicle by means of a control system, suggesting to the driver, by means of an interface device and depending on the plurality of dynamic data, one or more corrective actions to be carried out in order to accomplish a mission optimizing a cost function, and estimating the driving ability of the driver in order to obtain a driver rating value, based on which the corrective actions to be suggested are to be changed.

An autonomous valet parking method includes: activating an automated valet parking procedure; determining, by a parking infrastructure, a plurality of guide route candidates leading from a pickup zone to a target position; determining, by the parking infrastructure, weighting factors for the plurality of guide route candidates; selecting, by the parking infrastructure, one guide route candidates among the plurality of guide route candidates as a guide route to the target position; transmitting the target position and the guide route to the vehicle; performing, by the vehicle, autonomous driving to the target position along the guide route; performing, by the vehicle, autonomous parking at the target position, and finishing the automated valet parking procedure.