A vehicle driving control method with optimal efficiency includes a first step of state variable modeling of a longitudinal dynamics equation of a vehicle based on a velocity-related state variable and a wheel drive input variable, a second step of calculating wheel power using the state variable and the input variable, a third step of calculating battery power using the wheel power calculation, a fourth step of approximating the battery power, and a fifth step of outputting a wheel drive control target by calculating a minimum solution by using the approximated battery power as an objective function and applying at least one constraint to the objective function.

Section acquisition systems, methods, and programs acquire a scheduled travel route of a vehicle driven by at least one of an internal combustion engine or a motor. The systems, methods, and programs divide the scheduled travel route that is in a range of a predetermined distance from a current location into a plurality of sections such that a difference in traffic congestion degree is distinguished, and divide the scheduled travel route that is not in the range of the predetermined distance from the current location into a plurality of sections such that a difference in travel load is distinguished.

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.

A hybrid vehicle control device for controlling a hybrid vehicle with an engine and an electric motor as drive sources of the vehicle includes a high-load road travel determination unit configured to determine whether or not the vehicle is traveling on a high running resistance road surface on which a predetermined vehicle acceleration is unobtainable only by an output of the engine, and a motor output setting unit configured to set an output of the electric motor. If the vehicle is determined to be traveling on the high running resistance road surface by the high-load road travel determination unit, the motor output setting unit limits the output of the electric motor when a vehicle speed reaches a predetermined vehicle speed.

A method of increasing engine braking of an engine for a vehicle, the method including: determining the change in kinetic energy of the vehicle over a period; determining the energy output from a drivetrain of the vehicle over the period; comparing the change in kinetic energy to the energy output; and increasing the engine braking of the vehicle when the change in kinetic energy is greater than the energy output over the period.

A motor speed control method and system for improving the performance of a running resistance evaluation of a hybrid electric vehicle are provided. The method includes determining whether a vehicle satisfies a running resistance evaluation start condition. When the vehicle satisfies the running resistance evaluation start condition, the speed of a motor is adjusted, which adjusts an input speed of a transmission to be equal to an output speed of the transmission. A speed adjustment of the motor is then completed using the speed of the motor and the output speed of the transmission.

A flood sensing device includes: an acquiring section that acquires plural types of traveling state data relating to traveling of a vehicle; and a sensing section that senses flooding of a road on which the vehicle travels by using (a) a physical quantity that is estimated on the basis of (i) a vehicle behavior model, which is configured by driving force of the vehicle and traveling resistance that includes air resistance applied to the vehicle, slope resistance applied to the vehicle and rolling resistance applied to the vehicle, and which determines the physical quantity that varies due to the vehicle traveling, and (ii) the plural types of traveling state data of the present time that are acquired by the acquiring section, and (b) the physical quantity that is obtained from the traveling state data of the present time that is acquired by the acquiring section.

A travel resistance arithmetic device includes: a controller configured to estimate travel resistance which a vehicle receives from a travel road; and a memory configured to store the travel resistance in association with positional information. The controller is configured to: correct, based on difference between a stored value of the travel resistance stored in the memory in association with a predetermined area on the travel road through which the vehicle has already passed and an estimated value of the travel resistance estimated by the controller in the predetermined area, the stored value stored in the memory in association with a correction target area on the travel road and; output the corrected stored value as the travel resistance in the correction target area while the vehicle travels the travel road.

A deceleration factor estimation apparatus estimating a deceleration factor of a vehicle includes: a driving force acquisition unit that obtains a driving force of the vehicle; a speed acquisition unit that obtains a speed of the vehicle; an acceleration acquisition unit that obtains an acceleration of the vehicle; and a deceleration factor estimation unit that estimates a plurality of deceleration factors on the basis of a relationship between the obtained driving force, speed, and acceleration, wherein the deceleration factor estimation unit switches the deceleration factor to be estimated on the basis of a travel condition of the vehicle.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.