Abstract: Disclosed are a vehicle control apparatus and a vehicle control method. The vehicle control apparatus may calculate a total sum of consumed power according to at least one of power consumed due to an air resistance, power consumed due to an operation of a cooling fan that increases flow of air introduced into an under-hood of a vehicle, or power consumed due to an operation of an air conditioner, or any combination thereof, and control at least one of an air flap that opens and closes an air inlet of the under-hood or a cooling fan, or any combination thereof such that the total sum of the consumed power is minimized in response to securing of a target air flow rate representing a flow rate of air required to pass through a condenser or a radiator of the air conditioner according to an operation of the vehicle.

Abstract: A method of planning to charge an electric vehicle includes: determining a driving path based on a destination; dividing a prediction range on the driving path into a plurality of sections; obtaining driving environment information of the driving path; and applying the driving environment information to a charging plan model for each of the plurality of sections using and establishing a charging plan on the driving path by collectively calculating to find a minimized solution of the charging plan model for the plurality of sections. The charging plan model includes an objective function of travel time and battery state of charge (SOC). The objective function is defined based on a first model according to a longitudinal motion equation of the vehicle, a second model for the travel time, and a third model for the battery SOC.

Abstract: Disclosed herein is a vehicle predictive control method that includes determining a driving prediction horizon in front of a vehicle, dividing the driving prediction horizon into a plurality of steps, at least some of the steps corresponding to a sloped section being integrated into one step according to slopes, and applying a driving prediction model based on a relationship between states of vehicle speed, traction force, and braking force for each step and collectively computing the driving prediction model over the entire prediction horizon to calculate a control value for the vehicle.

Abstract: 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.

Abstract: A method for controlling driving of an electric vehicle includes calculating an error between a vehicle output value output from the electric vehicle which is traveling and a model output value output from a control model of the electric vehicle for controlling the electric vehicle, analyzing the calculated error and determining an error factor causing the error based on analyzed result values, generating a weight corresponding to the determined error factor and applying the weight to a parameter to obtain an estimated parameter, and reflecting the estimated parameter in the control model when a vehicle input value input to the electric vehicle satisfies a predetermined condition.