A cruise control method for a vehicle includes: calculating maximum and minimum vehicle speeds based on a reference vehicle speed in a driving mode of deceleration after acceleration; setting a range of an upper and lower limit vehicle speeds for acceleration and deceleration driving by adding and subtracting a preset incremental value to and from the reference vehicle speed within the maximum and minimum vehicle speeds; calculating fuel efficiency by calculating fuel quantity and mileage according to a preset acceleration condition and by calculating fuel quantity and mileage according to fuel cut control and neutral control in a deceleration condition within the range of the upper and lower limit vehicle speeds; repeating the fuel efficiency calculation when the incremental value is additionally added to and subtracted from the range; and determining a set of driving conditions through repeating the calculating fuel efficiency.

An automated method of controlling a speed of a vehicle includes identifying parameters of a driving instance of the vehicle; identifying a predetermined profile that is applicable to the driving instance based on the identified parameters; identifying a predetermined speed policy applicable to the driving instance based on the identified profile; and implementing the identified speed policy during the driving instance. The method may be repeated during the driving instance, whereby the speed policy that is implemented is automatically updated when one or more changes in the identified parameters cause a different predetermined speed policy to be identified. Parameter may include driver parameters (e.g., driver age and driver experience); vehicle parameters (e.g., vehicle age, mileage, and tire wear) tire maintenance information); behavior parameters (e.g., speed, acceleration, hard braking of the vehicle, following distance, swerving, and cornering); and circumstance parameters (e.g., time of day, road information, inclement weather, and traffic congestion).

An on-board unit as a direction change detection device is configured to acquire a steered angle and a mileage of a vehicle at a time point at which a right turn event related to a right turn of the vehicle occurs when the right turn event occurs, and detect the right turn on condition that a maximum value of the steered angle is equal to or less than a first threshold value, and the mileage is equal to or greater than a second threshold value.

A method for cleaning up vehicle driving data includes receiving vehicle driving data of a vehicle within a predetermined time period, the vehicle driving data comprising vehicle mileage data and vehicle status data; determining a first mileage of the vehicle within the predetermined time period based on the vehicle mileage data; determining a second mileage of the vehicle within the predetermined time period based on the vehicle status data; and judging whether the first mileage is abnormal data based on the second mileage.

Disclosed is a method for optimizing the time gradient of the pressure increase in a fuel injection system of a hybrid motor vehicle. The method determines and uses the engine torque generated by the electric machine of the vehicle to reduce the engine torque generated by the internal combustion engine of the vehicle and allow the high-pressure pump of the internal combustion engine to generate, if applicable, a higher value of the time gradient of the pressure increase in the common supply chamber of its injection system.

Methods and systems for a powertrain power management in a vehicle with an electric motor, and an engine are disclosed. The methods and systems involve a powertrain that is operatively coupled to the engine and the electric motor, and an optimizer module operatively coupled to the powertrain. The optimizer module receives an operator information to travel a route from a remote management module, receives current route information for the route from a mapping application in response to the operator information, measures current vehicle status information for the hybrid vehicle, and decides a power management strategy for the vehicle based on the current route information and the current vehicle status information.

A mileage prediction and optimization system (FIG. 1) is disclosed for optimizing the mileage of a vehicle. The mileage prediction and optimization system comprises a prediction and optimization module (300) adapted to determine variation in mileage of the vehicle at least based on the current fuel volume, current speed, current fuel density, the current tire air pressure, the current tire air temperature, current fetched values from an ECU module (700) and the pre-defined mileage data of the vehicle. Further, the prediction and optimization module (300) is adapted to optimize the mileage of the vehicle by reducing variation of fuel density, reducing variation of tire air pressure and informing optimal gear-speed combinations to a user regardless of whether the vehicle is stationary or in motion.

Disclosed are a device and a method for improving the fuel efficiency of a fuel cell vehicle in uphill and downhill driving. The device may calculate an appropriate stack output to be generated from a fuel cell stack based on the SOC of a battery as well as an uphill altitude at which the vehicle traveling on the uphill road has to travel further to reach the highest altitude when determining the degree of the stack output generated from the fuel cell stack when driving on the uphill road, and may prevent fuel consumption from increasing to generate excessive stack output while driving on an uphill road or the durability of the fuel cell stack from being deteriorated.

The present disclosure relates to a method and a device for safety driving. The method includes: acquiring riding data of a current user of a self-balancing vehicle; comparing the acquired riding data with riding data corresponding to a plurality of preset user levels; and determining a user level of the current user of the self-balancing vehicle according to a result of the comparing. The riding data includes one or more of the following data: a riding time, a riding distance, a shaking frequency, a shaking arc magnitude, and a shaking time.

A vehicle driving control method includes: controlling, by a controller, a speed of an engine included in a vehicle and a torque of the engine so that fuel consumption of the vehicle is minimized in an acceleration section of the vehicle, based on gradient information of a road on which the vehicle is being driven and an air resistance of the vehicle; and controlling, by the controller, the vehicle to perform coasting driving in a coasting driving section of the vehicle after a speed of the vehicle reaches a maximum speed of an operation mode, in which the vehicle is accelerated and then performs the coasting driving, by the control of the speed of the engine and the torque of the engine.