A control unit that controls a travelling state and an air conditioning state of a vehicle includes: a drive control unit performing a vehicle speed control and a power train control, the vehicle speed control selectively executing an acceleration operation where an engine mounted on the vehicle is operated and a deceleration operation where the engine is stopped to allow the vehicle to coast, the power train control selectively executing activation or deactivation of the engine; m and an air conditioning control unit that controls an air conditioning system provided in the vehicle to execute an air conditioning control. A content of control is changed for at least one of the vehicle speed control, the power train control and the air-conditioning control while the air conditioning system is operating, compared to a case where the air conditioning system is not operating.

A hybrid vehicle includes a vehicle control device to perform a traveling control so as to allow switching between an HV traveling in which the hybrid vehicle travels while an engine works and an EV traveling in which the hybrid vehicle travels while working of the engine is stopped, and an engine control device to execute a filter regeneration control that is an engine control for removing particulate matter deposited in a filter. The engine control device adopts satisfaction of a predetermined first condition, as a requirement for execution of the filter regeneration control, when the number of times of start of the engine after vehicle activation is one, and adopts satisfaction of a second condition, which is satisfied more easily than the first condition, as a requirement for execution of the filter regeneration control, when the number of times of the start is two or more.

A vehicle, and a method of controlling a vehicle, is capable of selecting a wheel speed that is most appropriate to obtain a speed of the vehicle from among wheel speeds of the vehicle to obtain an accurate speed of the vehicle. The vehicle includes a sensor configured to obtain wheel speed information of at least one wheel. The vehicle also includes a controller configured to select wheel speed information from among the wheel speed information of the at least one wheel based on a driving state of the vehicle and configured to determine a speed of the vehicle based on the selected wheel speed information.

A system includes a pattern recognizing module that identifies a pattern based on at least one of: (i) a movement of a driver of a vehicle, (ii) an object in front of the vehicle, (iii) a status of the vehicle, and (iv) an action of the vehicle. The pattern corresponds to a pattern response. A safety module compares the pattern response to a safe maneuver database. The pattern response is classified as safe in response to the pattern response matching at least one safe pattern response of the safe maneuver database. A pattern integration module integrates the pattern and the pattern response into a pattern database in response to the pattern response matching the at least one safe pattern response of the safe maneuver database. A vehicle control module performs the pattern response in response to the pattern recognizing module identifying the pattern.

The embodiments of the present application provide a method and an apparatus for predicting an average energy consumption of an electric vehicle. The method comprises: according to a real-time voltage and a real-time current of a battery pack of an electric vehicle, determining an actual energy consumption of the electric vehicle in the traveled mileage segment corresponding to the current time, the traveled mileage segment comprising a plurality of unit mileage segments; according to the actual energy consumption of each unit mileage segment of the traveled mileage segment, determining an initial average energy consumption of the electric vehicle at the current time; acquiring a target average energy consumption and average energy consumption adjustment parameters of the electric vehicle; and according to the initial average energy consumption, the target average energy consumption and the average energy consumption adjustment parameters, determining the actual average energy consumption of the electric vehicle at the current time. The present application can accurately calculate the actual average energy consumption of the electric vehicle at the current time in real time.

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.

Method and control unit for predicting a path of a vehicle are provided. The method comprises measuring velocity of the vehicle; measuring steering wheel angle (?.sub.sw); measuring steering wheel angle rate (?.sub.sw); calculating a future steering wheel angle (?.sub.sw), based on the measured steering wheel angle (?.sub.sw) and the measured steering wheel angle rate (?.sub.sw); calculating a future yaw rate (?) of the vehicle based on the measured velocity of the vehicle and the calculated future steering wheel angle (?.sub.sw); extrapolating a vehicle position of the vehicle in a set of future time frames, based on the calculated future yaw rate (?) and the vehicle velocity; and predicting the path of the vehicle based on the extrapolated vehicle positions in the set of future time frames.

A method in a vehicle for determining road properties is described. The method includes: acquiring vehicle acceleration in x, y and z directions; acquiring a rack force; acquiring a wheel speed for each of all four wheels; determining a wheel speed energy based on the wheel speed; determining a wheel slip of all four wheels of the vehicle based on a respective wheel speed of the wheel; determining an acceleration energy in each of the x, y and z-directions based on the vehicle acceleration and the vehicle speed; determining a rack force energy based on the detected rack force; and determining road properties based on the wheel speed energy, rack force energy and vehicle speed. A system is also described for performing the method.

A method for predicting the expected travel path of a moving vehicle by numerical integration of a dynamic vehicle model using at least one rotational travel state and at least one longitudinal travel state is disclosed. To provide a prediction of the expected travel path, which does not depend on map information and provides the maximum possible accuracy even for non-steady-state travel states of a vehicle, time-related function rules for the rotational travel state .sub.Pre(t) and/or for the longitudinal travel state .sub.Pre(t) are determined, and values for the travel state concerned .sub.Pre, .sub.Pre are predicted at specific points in time by integration using said function rule .sub.Pre(t), .sub.Pre(t). In this process, the time-related function rule of the travel state concerned is determined by obtaining respective (rotational or longitudinal) input variables for at least two time-derivatives of the travel state concerned from measured values.

A device that can stably and accurately estimate the roll angle of a vehicle body during various states of movement of the vehicle body. A roll angle estimated value calculation portion calculates an estimated value of the roll angle by integrating a value obtained by correcting an estimated value of roll angle velocity of a vehicle body by use of a correction value, or by correcting a value obtained by integrating an estimated value of roll angle velocity by use of a correction value. The correction value is calculated by use of a detection value of speed of the vehicle body in the traveling direction, detection values of angular velocity and acceleration detected by sensors mounted on the vehicle body, a previous estimated value of the roll angle, and a previous estimated value of the pitch angle of the vehicle body.