Abstract: An electric vehicle control method for braking of an electric vehicle applies a front braking torque to a front drive motor that drives a front wheel and applies a rear braking torque to a rear drive motor that drives a rear wheel. The method includes: during the braking, executing a torque limiting process (process B, process C, front braking torque control) that reduces the front braking torque and the rear braking torque when a slip of the front wheel is detected; and executing a distribution torque changing process that increases the front braking torque while maintaining a sum of the front braking torque and the rear braking torque when a slip of the rear wheel is detected.

Abstract: A driving force control method is executed in a vehicle including first and second electric motors, and distributes a requested driving force for driving at a predetermined distribution ratio according to a traveling state and outputs the requested driving force by the first and second electric motors. The method includes: transferring an output torque from one electric motor to the other in response to a change in the distribution ratio based on the traveling state; setting a slip state parameter indicating a slip state; when the slip state parameter is equal to or smaller than a predetermined threshold value, setting an upper limit of a change speed of the output torque to be transferred to a first upper limit value that is small; and when the slip state parameter exceeds the threshold value, setting the upper limit of the change speed to a second upper limit value that is large.

Abstract: A control method for an electric four-wheel drive vehicle including a front drive source for driving a front wheel and a rear drive source for driving a rear wheel independently of the front wheel includes: acquiring a driving direction of the electric four-wheel drive vehicle based on an input state of a shift lever; acquiring an actual moving direction of the electric four-wheel drive vehicle; and when the driving direction and the moving direction are different from each other, setting a basic driving force for suppressing movement in the moving direction for the front wheel and the rear wheel, and driving one wheel of the front wheel and the rear wheel with a driving force smaller than the basic driving force by implementing a limit for setting an upper limit value for a driving force generated in the one wheel.

Abstract: An electric vehicle control method for braking of an electric vehicle applies a front braking torque to a front drive motor that drives a front wheel and applies a rear braking torque to a rear drive motor that drives a rear wheel. The method includes: during the braking, executing a torque limiting process (process B, process C, front braking torque control) that reduces the front braking torque and the rear braking torque when a slip of the front wheel is detected; and executing a distribution torque changing process that increases the front braking torque while maintaining a sum of the front braking torque and the rear braking torque when a slip of the rear wheel is detected.

Abstract: A wireless remote control radio-transmits a vehicle height adjusting signal tagged with a remote control identification code in order to improve vehicle height adjustment operability in a vehicle such as a truck. The remote control identification code is pre-registered in a receiver, which, upon receipt of the vehicle height adjusting signal tagged with the remote control identification code, takes in the vehicle height adjusting signal. According to information contained in the received vehicle height adjusting signal, an air suspension ECU controls the supply and discharge of compressed air for air springs to adjust the vehicle height. When an emergency operation switch is operated, the vehicle height adjusting signal from the wireless remote control is disabled, and vehicle height adjustment is preferentially made based on a switching signal from the emergency operation switch.

Abstract: To improve operability for vehicle height adjustment, while ensuring safety, in a vehicle such as a truck, a wireless remote control radio-transmits a vehicle height adjusting signal tagged with a remote control identification code. The remote control identification code is preregistered in a receiver, which, upon receipt of the vehicle height adjusting signal tagged with the remote control identification code, takes in the vehicle height adjusting signal. According to information contained in the received vehicle height adjusting signal, an air suspension ECU controls supply and discharge of compressed air for air springs to adjust the vehicle height. When an emergency operation switch is operated, the vehicle height adjusting signal from the wireless remote control is disabled, and vehicle height adjustment is preferentially made based on a switching signal from the emergency operation switch.

Abstract: An apparatus for estimating a road traffic condition and for controlling a vehicle running characteristic includes a controller having a fuzzy inference function and a neural network function. The controller carries out frequency analysis on vehicle driving parameters such as vehicle speed, steering angle, accelerator opening degree, and longitudinal acceleration and lateral acceleration of a vehicle, to thereby determine a mean value and variance of each parameter. It implements fuzzy inference based on a traveling time ratio, an average speed, and an average lateral acceleration, which are obtained from vehicle speed and/or steering angle, to thereby calculate road traffic condition parameters, including a city area degree, a jammed road degree, and a mountainous road degree.

Abstract: An apparatus for estimating a vehicle maneuvering state and controlling a vehicle running characteristic includes a controller having a fuzzy estimating function and a neural network function. The controller carries out frequency analysis on vehicle driving parameters such as vehicle speed, steering angle, opening degree of an accelerator, and longitudinal acceleration and lateral acceleration of a vehicle, to thereby determine a mean value and variance of each parameter. It implements fuzzy inference based on a traveling time ratio, an average speed, and an average lateral acceleration, which are obtained from vehicle speed and/or steering angle, to thereby calculate road traffic condition parameters, including a city area degree, a jammed road degree, and a mountainous road degree.