An autonomous driving device to be mounted on a vehicle includes a first ECU configured to autonomously drive the vehicle, and a second ECU configured to operate the vehicle under remote control from an outside. The first ECU is configured to keep an activated state while the second ECU is operating the vehicle. The second ECU is configured to keep a power saving state while the first ECU is autonomously driving the vehicle.

A drive train for a vehicle includes a first electromagnetic device, a second electromagnetic device electrically coupled to the first electromagnetic device by an electrical power transmission system, and an engine coupled to the first electromagnetic device and configured to drive the first electromagnetic device to provide electrical energy. In all modes of operation where the engine drives the first electromagnetic device to provide the electrical energy, the first electromagnetic device operates without providing the electrical energy to an energy storage device.

A vehicle driving apparatus for a vehicle with wheels includes an engine, a transmission mechanism, an input shaft, a power generation motor, and a motor clutch. The transmission mechanism is disposed between the engine and the wheels. The input shaft is disposed between the engine and the transmission mechanism and coupled to a crank shaft of the engine via a damper mechanism. The power generation motor is disposed between the engine and the transmission mechanism and includes a hollow rotor through which the input shaft extends. The motor clutch is switched between an engaged state and a released state. When being the engaged state, the motor clutch couples the input shaft and the hollow rotor. When being in the released state, the motor clutch releases coupling between the input shaft and the hollow rotor.

A system includes a computing device with memory configured to store instructions and a processor to execute the instructions for operations that include causing a request for mode 9 information to be transmitted from the computing device to a vehicle remote from the computing device. The request causes a controller of an auxiliary vehicle propulsion system to access a network bus of the vehicle within a pre-determined time period after the auxiliary vehicle propulsion system is installed and activated on the vehicle.

A vehicle vibration control device includes: a motor generator connected via a motor shaft to a power transmission path between a crankshaft of an engine and a drive axle that transmits a drive torque to a tire; and a motor generator control portion executing control of an output torque which is actually output by the motor generator. The motor generator control portion includes a damper torque calculation section that acquires information on a crank angle and a motor angle to calculate a damper torque generated by a damper, an explosion cycle calculation section, a reverse phase torque calculation section, a delay time calculation section, a compensation time calculation section, a first compensation time calculation section, a torque correction amount calculation section, and a command output section.

A vehicle drive includes a gear set, a first motor/generator coupled to the gear set, a second motor/generator at least selectively rotationally engaged with the gear set, and an engine at least selectively coupled to the gear set and at least selectively coupled to the second motor/generator. The second motor/generator is electrically coupled to the first motor/generator by an electrical power transmission system. The first motor/generator and the second motor/generator are electrically coupled without an energy storage device configured to at least one of (a) provide electrical energy to the first motor/generator or the second motor/generator to power the first motor/generator or the second motor/generator and (b) be charged by electrical energy from the first motor/generator or the second motor/generator.

An electric vehicle includes a second rotating electric machine; a first transmission path configured to transmit force generated by the second rotating electric machine to a wheel; a first clutch that is arranged in the first transmission path and configured to switch between a connected state and a disconnected state between the second rotating electric machine and the wheel; and an ECU configured to control the second rotating electric machine and the first clutch. In the electric vehicle, a torque sensor is arranged between the first clutch and the wheel in the first transmission path.

A computer-implemented method of monitoring one or more batteries of an electric vehicle (EV) includes (i) detecting an indication of a battery failure event for an electric vehicle; (ii) determining a response to the battery failure event based upon the indication; (iii) determining, based upon the battery failure event, an assistance location for the electric vehicle; (iv) generating a route from a location of an autonomous vehicle to the assistance location for the electric vehicle; and (v) transmitting a command to the autonomous vehicle to drive to the assistance location for the electric vehicle, wherein the command includes the response to the battery failure event and the route from the location of the autonomous vehicle to the assistance location.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.

Embodiments herein relate to an autonomous vehicle or self-driving vehicle. The system can determine a collision avoidance path by: 1) predicting the behavior/trajectory of other moving objects (and identifying stationary objects); 2) given the driving trajectory (issued by autonomous driving system) or predicted driving trajectory (human), establishing the probability for a collision that can be calculated between the vehicle and one or more objects; and 3) finding a path to minimize the collision probability.