An autonomous controller for lateral motion includes a vehicle positioning module that calculates a lateral departure degree from the center of a virtual line after a line is lost using position information of a vehicle. The position information is derived by data obtained from the vehicle which is traveling. The controller also includes a driving route determination module that determines the virtual line connecting waypoints previously generated on a map for a section where the line is lost to connect an old line with a new line. A lateral control module then performs lateral autonomous control of the vehicle in a direction where the lateral departure degree is minimized to cause the vehicle to follow a driving route connecting waypoints set on the virtual line to travel.

The present disclosure relates to a method for controlling at least one actuator of a vehicle, the actuator being configured to apply a torque on at least one wheel of the vehicle, wherein the applied torque is determined by a control function associated with a control bandwidth, the method comprising configuring the control function to control the applied torque to reduce a difference between a first parameter value related to a current rotational speed of the wheel and a second parameter value related to target rotational speed of the wheel; obtaining data indicative of a current operating condition of the vehicle; setting the control bandwidth of the control function in dependence of the current operating condition of the vehicle; and controlling the actuator using the control function.

A method of controlling an engine and a transmission of a vehicle includes: determining, by a controller, whether the engine is restarted after releasing the vehicle's SSC (Start & Stop coasting) or whether the vehicle is accelerating during NCC (Neutral Coasting control), determining an RPM and gear stage of the transmission if it is determined that the engine is restarted after releasing the vehicle's SSC or the vehicle is accelerating during NCC, determining a mild hybrid starter and generator (MHSG) target RPM and an MHSG target RPM gradient of the vehicle, performing, by the controller, MHSG RPM control of the vehicle to follow the MHSG target RPM and the MHSG target RPM gradient, determining whether the MHSG RPM slips compared to the MHSG target RPM, and performing proportional-integral-derivative (PID) control to follow the MHSG target RPM if the MHSG RPM slips compared to the MHSG target RPM.

An energy-optimal vehicle control system for at least one vehicle including a roadway data source configured for providing traffic and map data including at least one drive segment of the at least one vehicle, and an electrical processing system operably coupled with the roadway data source. The electrical processing system includes an optimizer for generating an energy-optimal speed profile for the at least one drive segment, and the electrical processing system is configured for controlling the speed of the at least one vehicle in accordance with the energy-optimal speed profile.

A method of controlling an engine and a transmission of a hybrid vehicle includes steps of: determining whether the vehicle starts, determining an engine RPM and a gear stage of a transmission if the vehicle has started, determining whether the engine RPM has reached an engine speed control point, determining an engine target RPM and an engine target RPM slope of the vehicle when it is determined that the engine RPM has reached the engine speed control point, controlling the engine RPM of the vehicle to follow the engine target RPM and the engine target RPM slope, determining whether the engine RPM has slipped compared to the target engine RPM, and performing PID control to follow the engine target RPM if the engine RPM slips compared to the engine target RPM.

Torque distribution control systems and methods for through-the-road electrified vehicles having distinct first and second torque generating systems for distinct first and second axles, respectively, utilize existing vehicle sensors to (i) obtain measured wheel rotational speeds and a measured steering wheel angle, (ii) estimate virtual yaw rates of the first and second axles using these measured values and other known vehicle parameters, (ii) predict whether oversteer or understeer of the vehicle is likely to occur based on the estimated first and second axle virtual yaw rates, and (iv) when oversteer or understeer of the vehicle is predicted to occur, adjust a torque distribution between the first and second torque generating systems to prevent the oversteer or understeer from occurring and to keep the vehicle on a constant turn path.

A method of controlling an engine and a transmission of a vehicle includes: determining, by a controller, whether the engine is restarted after releasing the vehicle's SSC (Start & Stop coasting) or whether the vehicle is accelerating during NCC (Neutral Coasting control), determining an RPM and gear stage of the transmission if it is determined that the engine is restarted after releasing the vehicle's SSC or the vehicle is accelerating during NCC, determining a mild hybrid starter and generator (MHSG) target RPM and an MHSG target RPM gradient of the vehicle, performing, by the controller, MHSG RPM control of the vehicle to follow the MHSG target RPM and the MHSG target RPM gradient, determining whether the MHSG RPM slips compared to the MHSG target RPM, and performing proportional-integral-derivative (PID) control to follow the MHSG target RPM if the MHSG RPM slips compared to the MHSG target RPM.

A vehicle travel control device executes trajectory following control to make the vehicle follow a target trajectory. A delay time represents control delay of the trajectory following control. A delay compensation time is at least a part of the delay time. The trajectory following control includes: displacement estimation processing that estimates a displacement of the vehicle in the delay compensation time; and delay compensation processing that corrects a deviation between the vehicle and the target trajectory based on the estimated displacement to compensate the control delay. The displacement estimation processing is effective in an effective period and ineffective in an ineffective period. When the ineffective period is included in the delay time of the trajectory following control, the displacement estimation processing is executed in a temporary mode by using sensor-detected information in the effective period without using the sensor-detected information in the ineffective period.

A vehicle travel control device executes trajectory following control to make the vehicle follow a target trajectory. A delay time represents control delay of the trajectory following control. A delay compensation time is at least a part of the delay time. The trajectory following control includes: displacement estimation processing that estimates a displacement of the vehicle in the delay compensation time; and delay compensation processing that corrects a deviation between the vehicle and the target trajectory based on the estimated displacement to compensate the control delay. The displacement estimation processing is effective in an effective period and ineffective in an ineffective period. When the ineffective period is included in the delay time of the trajectory following control, the displacement estimation processing is executed in a temporary mode by using sensor-detected information in the effective period without using the sensor-detected information in the ineffective period.

Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.