Limiting torque of a motor to avoid its overheating results in switching to engine-driven traveling, thus leading to lower fuel efficiency, which is a problem. FIG. 5(D) shows the torque of the motor 1. When finding that the difference ΔEm between the power consumption rates is larger than the threshold EmT calculated by using the section distances d1 and d2, the power consumption calculation unit 18 sets a temperature threshold for torque limitation on the motor 1 to a low value so as to prevent the motor 1 from overheating. In other words, when the fuel efficiency improvement effect in the second section is large, the torque in the first section is limited. As a result, the motor 1 is limited in its torque in the first section p-f1, which makes the first section p-f1 a hybrid traveling section where the vehicle is driven by the motor 1 and the engine 2. Meanwhile, the second section f1-f2 is a traveling section where the vehicle is driven by the motor 1 only. In this manner, overheating of the motor is suppressed in the gradient-climbing traveling section as stable motor-driven traveling is performed in the section that follows the gradient-climbing traveling section and that offers a high fuel efficiency improvement effect. This improves the fuel efficiency.

A biased driving system and a biased driving method are capable of controlling biased driving of a vehicle in consideration of host vehicle location recognition accuracy, nearby vehicle risk, driving style, road curvature, and road shape. The biased driving system includes a control parameter creation unit configured to extract an object causing biasing of a host vehicle using converged object information, which is map information including location and speed of a vehicle around the host vehicle, to create an imaginary line of the extracted object by reflecting at least one of risk of a nearby vehicle, location recognition accuracy, driving style of a driver of the host vehicle, road curvature, or road shape, and to create a control parameter using the imaginary line.

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.

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.

Presented systems and methods facilitate efficient and effective performance of vehicle operations. In one embodiment, a system comprises a user interface, a processor, and a memory. The user interface is configured to convey information associated with operation of a vehicle to and from a user, wherein the information associated with the operation of the vehicle includes information associated with a performance objective. Information associated with the operation of the vehicle can include metric information that expresses a characteristic corresponding to the performance objective. The metric information can be associated with various aspects (e.g., current, future, etc.) of the vehicle operation. Processing by the processor can include comparative analysis of actual performance of the vehicle operation to target values associated with the vehicle operation. The user interface can include a performance indicator. The performance indicator can be configured to convey information associated with the various aspects of vehicle operation.

Provided is a control apparatus including a travelling control unit configured to control an engine travelling and a non-engine travelling of a hybrid vehicle, and perform switching from the non-engine travelling to the engine travelling in a case where a depression amount of an accelerator of the hybrid vehicle exceeds a predetermined depression threshold while the hybrid vehicle travels based on the non-engine travelling, and a switching suppression unit configured to suppress the switching from the non-engine travelling to the engine travelling by the travelling control unit while the hybrid vehicle travels in a short time depression area where depression of the accelerator does not continue for a period equal to or longer than a predetermined period of time.

A data processing system including a data processing apparatus that can generate an accurate road surface displacement correlating value that is used for a preview damping control is provided. The system includes a cloud having a data processing section and a processing-data-base-section for temporally storing data. The data processing apparatus stores sensing data in the processing-data-base-section, wherein the sensing data is a chunk of sensor values from which a road surface displacement correlating value correlating with a vertical displacement of a road surface on which said vehicle is traveling can be calculated. The sensor values are sequentially and successively detected/obtained by various sensors of the vehicle. The data processing section performs specific offline data processing for a chunk of the sensing data stored in the processing-data-base-section so as to generate data of the road surface displacement correlating value from the sensing data.

A method of and an apparatus of controlling a creep torque to be exerted on a vehicle, may include facilitating a control unit to determine from a vehicle speed signal whether or not a vehicle comes to a stop, facilitating the control unit to determine from a slope angle signal a state of a road in accordance with a slope angle of the road; facilitating the control unit to determine a gear-shift step state, facilitating the control unit to decide a creep torque command on the basis of a result of the determination, the gear-shift step state, and information on the state of the road in accordance with the slope angle, and facilitating the control unit to output the decided creep torque command to perform creep torque control that generates a creep torque corresponding to the creep torque command from a motor.

A vehicle control apparatus based on a precise load level using a GPS includes: a load level calculator to determine a load level of a road based on GPS information; a load level controller that classifies the road into a plurality of regions based on the determined load level and differentially controls an engine power output for each of the regions; and a storage to store a map for the engine power output for each of the regions.

A method for operating a hybrid electric vehicle including an electric machine, a battery and an internal combustion engine, the load point of which is shifted upward to drive the electric machine for charging the battery in the generator mode, wherein a target state of charge of the battery is specified; a required target charging capacity is determined; the load point of the internal combustion engine initially is only shifted upward within an engine-map range of the internal combustion engine.