A vehicle control system includes electronic controllers and first and second communications networks. The electronic controllers control a vehicle including an internal combustion engine and a drive motor. The electronic controllers include a management controller to manage travel control of the vehicle and a motor drive controller to control the drive motor. The first and second communications networks connect the electronic controllers together. The electronic controllers communicate via the first and second communications networks. The motor drive controller is configured to stop the drive motor when it is determined that a fault has occurred in the first communications network and configured to transmit information indicating that the fault has occurred in the first communications network to the management controller via the second communications network. The management controller is configured to control the electronic controllers not to communicate via the first communications network in response to the information.

A vehicle includes a detection section and a automated drive controller. The detection section detects actual behavior of the vehicle. The automated drive controller generates a automated drive action plan for the vehicle, issues an instruction relating to behavior of the vehicle based on the generated action plan to a drive source controller that controls a drive source of the vehicle, and compares predicted behavior of the vehicle predicted based on the issued instruction and actual behavior of the vehicle detected by the detection section. In cases where the predicted behavior of the vehicle and the actual behavior of the vehicle detected by the detection section differ from each other by more than a preset range, the automated drive controller issues an instruction to decelerate the vehicle to a brake device of the vehicle.

A control device for a vehicle is provided. The control device includes an electronic control unit that is configured to: exert the torque of an input member on a fixed member and a rotating member such that the fixed member and the rotating member are separated from each other, when the thrust is exerted for making the engagement teeth mesh with each other; estimate an inclination angle of tooth surfaces based on a relative movement amount between the fixed member and the rotating member, and a relative rotational amount between the fixed member and the rotating member; estimate a frictional coefficient of the tooth surfaces based on the inclination angle; and control the thrust of the actuator according to the frictional coefficient.

An apparatus for controlling a towing mode of an electric vehicle is provided. The apparatus includes a first sensor that measures a speed of the electric vehicle and a second sensor that measures a gradient of a road on which the electric vehicle is driven. A controller detects a reference output of the electric vehicle based on the speed and the gradient of the road and detects a towing weight of the electric vehicle based on an excess rate of a current output with respect to the reference output. The towing mode of the electric vehicle is then executed based on the detected towing weight.

A control system for a hybrid vehicle configured to avoid unintentional reduction in a driving force is provided. The control system is configured to estimate a vehicle speed after a predetermined period of time during propulsion of the vehicle under single-motor mode, and to shift the operating mode directly from the single-motor mode to an engine mode while skipping a dual-motor mode, if a current operating point of the vehicle enters into an operating region where both of the second mode and the third mode are available but the operating mode is expected to be further shifted to the engine mode.

A powertrain system may determine a power distribution for one or more power sources of a vehicle. The powertrain system may be coupled to a perception system that may provide perception data indicating a scenario, situation, or environment that has been encountered by the vehicle. The powertrain system may include machine learning model that may generate the power distribution based on one or more of the perception data and a power request.

A powertrain system may determine a power distribution for one or more power sources of a vehicle. The powertrain system may be coupled to a perception system that may provide perception data indicating a scenario, situation, or environment that has been encountered by the vehicle. The powertrain system may include a rule based system and/or a machine learning model that may generate the power distribution based on one or more of the perception data and a power request.

A power distribution control system of a vehicle includes a driving information provider for collecting and providing information required for power distribution control of an engine and a motor in the vehicle; a communication unit for transmitting the information provided by the driving information provider from the vehicle; a cloud server outside the vehicle for selecting and transmitting optimal power distribution control logic data corresponding to a driving situation of the vehicle based on the information provided through the communication unit from the vehicle; and a vehicle controller for performing power distribution control of the engine and the motor based on real-time driving state variable information of the vehicle using the optimal power distribution control logic data received through the communication unit by the vehicle from the cloud server.

A computer-implemented method includes determining a vehicle configuration indicative of a towing mode setting for the vehicle, which can include a neutral transmission gear setting, a battery conservation mode, or another towing mode setting. The method can include determining at least one vehicle operation characteristic that changes with time while the vehicle is in the towing mode setting, and performing, via a vehicle control module and based at least in part on the towing mode setting and the vehicle operation characteristic, one or more vehicle actions that include generating an alert signal indicative that vehicle damage may occur.

An electric vehicle includes first and second traveling motors, first and second rotational position sensors, and a measurement controller. The first rotational position sensor detects a rotation angle of the first traveling motor and has a first wheel-speed range in which a deviation of an original position of the first rotational position sensor is measurable. The second rotational position sensor detects a rotation angle of the second traveling motor and has a second wheel-speed range in which a deviation of an original position of the second rotational position sensor is measurable. The second wheel-speed range differs from the first wheel-speed range. The measurement controller executes, in an execution order, measurements of the deviations of the original positions of the first and second rotational position sensors while the electric vehicle is traveling, and switch the execution order on the basis of acceleration or deceleration data of the electric vehicle.