A drive system includes: a drive device including an electric motor; and a torque controller that controls operations of the electric motor to control torque output from the electric motor. The torque controller includes a target-motor-torque determiner that determines target motor torque based on a sum of motor requested torque and a value obtained by multiplying a gain by sprung-portion-vibration-control torque. The target motor torque is a target value of the torque output from the electric motor. The motor requested torque is determined based on vehicle requested torque requested for driving of the vehicle. The torque controller includes a gain determiner that determines the gain to a value that is less when an absolute value of the motor requested torque is small with respect to the sprung-portion-vibration-control torque than when the absolute value is large with respect to the sprung-portion-vibration-control torque.

Provided are a driving force control method and device for a hybrid vehicle, each capable of effectively absorbing torque fluctuation of an engine while suppressing deterioration in energy efficiency. The driving force control device for a hybrid vehicle comprises a PCM configured to: estimate an average torque output by an engine; estimate a torque fluctuation component of the torque output by the engine; set a countertorque for suppressing the estimated torque fluctuation component; and control an electric motor to output the set countertorque, wherein the PCM is operable, under a condition that an engine speed is constant, to set the countertorque such that, as the average torque output by an engine becomes larger, the absolute value of the countertorque becomes smaller.

A system for controlling turning of vehicle may include a steering angle detection sensor; a front inner wheel speed detection sensor detecting a front inner wheel speed; a front outer wheel speed detection sensor detecting a front outer wheel speed; a rear outer wheel speed detection sensor detecting a rear outer wheel speed based on a turning direction; and a braking controller receiving detection signal of the steering angle detection sensor to determine that the vehicle turns, estimating the rear inner wheel speed in the turning direction based on detection signals of the front inner wheel speed detection sensor and the front outer wheel speed detection sensor and detection signal of the rear outer wheel speed detection sensor, and executing a mode for decreasing the estimated speed as compared to the rear outer wheel speed, as a control mode for reducing a minimum rotation radius at the time of turning.

A method for identifying a road condition, in which a piece of road condition information representing the road condition is determined using a front end air moisture value representing an air moisture at a front end of a vehicle and a rear end air moisture value representing an air moisture at a rear end of the vehicle.

Systems and methods to control recapture and use of energy to provide an APU include a vehicle having an electrically powered drive axle to provide supplemental torque to the vehicle to supplement primary motive forces applied through a separate drivetrain powered by a fuel-fed engine of the vehicle. The vehicle further includes an energy store to supply the electrically powered drive axle with electrical power or receive energy recovered using the electrically powered drive axle. The vehicle also includes the APU coupled to receive electrical power from the energy store for stopover operation and without idling of the fuel-fed engine. Further, the vehicle includes a hybrid control system for managing, based on an estimated travel time to a stopover location, an SoC of the energy store while the vehicle travels over a roadway to provide a target SoC of the energy store when the vehicle arrives at the stopover location.

Methods and systems to implement sensor fusion to determine collision potential for a vehicle include identifying a specific intersection that the vehicle is approaching, and identifying collision potential scenarios associated with one or more paths through the specific intersection. Each collision potential scenario defines a risk of a collision between the vehicle and an object in a specified area. A weight with which one or more information sources of the vehicle are considered is adjusted for each collision potential scenario such that a highest weight is given to one or more of the one or more information sources that provide most relevant and reliable information about the specified area. Sensor fusion is implemented based on the adjusting the weight of the one or more information sources and performing detection based on the sensor fusion, and an alert is provided or actions are implemented according to the detection.

Systems and methods are disclosed for reducing second order dynamics delays in a control subsystem (e.g. throttle, braking, or steering) in an autonomous driving vehicle (ADV). A control input is received from an ADV perception and planning system. The control input is translated in a control command to a control subsystem of the ADV. A reference actuation output is obtained from a storage of the ADV. The reference actuation output is a smoothed output that accounts for second order actuation dynamic delays attributable to the control subsystem actuator. Based on a difference between the control input and the reference actuation output, adaptive gains are determined and applied to the input control signal to reduce error between the control output and the reference actuation output.

Among other things, we describe techniques for electric power steering torque compensation. Techniques are provided for a method implemented by a computer, e.g., a computer onboard an autonomous vehicle. A planning circuit onboard the vehicle and connected to an EPS of the vehicle determines a compensatory torque signal to modify an actual steering angle of a steering wheel of the vehicle to match an expected steering angle of the steering wheel. The planning circuit transmits the compensatory torque signal to a control circuit that controls the steering angle of the steering wheel. The EPS modifies the actual steering angle based on the compensatory torque signal resulting in a modified steering angle. The control circuit operates the vehicle based on the modified steering angle.

A driving support apparatus includes a feedback control system. The feedback control system calculates each operation amount of a brake actuator and a drive actuator so as to match an actual value of a control amount indicating a motion state of the vehicle to a target value. The target value of the control amount is set so as to stop the vehicle to a target stop position. The driving support apparatus sets, when remaining distance from a current position of the vehicle to the target stop position is first distance, a feedback gain of the feedback control system to large value, as compared with the feedback gain set when the remaining distance is second distance which is greater than the first distance.

A controller for controlling a system with continuous and discrete elements of operation accepts measurements of a current state of the system, solves a mixed-integer model predictive control (MI-MPC) problem subject to state constraints on the state of the system to produce control inputs to the system, and submits the control inputs to the system thereby changing the state of the system. To solve the MI-MPC, the controller transforms the state constraints into state-invariant control constraints on the control inputs to the system, such that any combination of values for the control inputs, resulting in a sequence of values for the state variables that satisfy the state constraints, also satisfy the state-invariant control constraints, and solve the MI-MPC problem subject to the state constraints and the state-invariant control constraints.