A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

A cruise control method for a vehicle includes: calculating maximum and minimum vehicle speeds based on a reference vehicle speed in a driving mode of deceleration after acceleration; setting a range of an upper and lower limit vehicle speeds for acceleration and deceleration driving by adding and subtracting a preset incremental value to and from the reference vehicle speed within the maximum and minimum vehicle speeds; calculating fuel efficiency by calculating fuel quantity and mileage according to a preset acceleration condition and by calculating fuel quantity and mileage according to fuel cut control and neutral control in a deceleration condition within the range of the upper and lower limit vehicle speeds; repeating the fuel efficiency calculation when the incremental value is additionally added to and subtracted from the range; and determining a set of driving conditions through repeating the calculating fuel efficiency.

A hybrid vehicle includes: an internal combustion engine; a rotating electric machine; a planetary gear mechanism to which the internal combustion engine, the rotating electric machine and an output shaft are connected; a catalyst that purifies exhaust gas of the internal combustion engine; and a controller that controls the internal combustion engine and the rotating electric machine. The controller controls the internal combustion engine and the rotating electric machine to perform catalyst temperature control to shift an operating point on a map representing a relationship between rotation speed of the internal combustion engine and torque generated by the internal combustion engine so that the catalyst has a temperature within an appropriate temperature range. Degradation of the catalyst can be suppressed without deteriorating the function of the catalyst.

A vehicle includes an engine, a first MG, a planetary gear mechanism, a battery that stores power generated by the first MG and supplies the stored power to the first MG, and an HV-ECU that controls the engine and the first MG. The engine includes a turbo. A boost line is determined on a map representing a relationship between the rotation speed of the engine and torque generated by the engine, and the turbo boosts suctioned air when torque generated by the engine, as indicated by an operating point on the map, exceeds the boost line. The HV-ECU controls the engine and the first MG so that when the allowable value Wout of power output from the battery is small, the operating point exceeds the boost line at a higher rotation speed than when the allowable value Wout is large.

A semiconductor device capable of performing filter processing while suppressing an increase in processing time is provided. The semiconductor device includes a microcontroller. The microcontroller comprises a CPU, a memory and a CAN-controller. The memory stores software. The CPU executes the software stored in the memory. The CAN controller is configured to add label information to the message information. The CAN routing software stored in the memory implements a filtering function for performing a filter processing for determining whether or not to route the message information by using the label information.

Systems and methods are provided for simulating rev-matching in hybrid electric vehicles (HEVs). In particular, increased engine response is provided while downshifting during acceleration. The transmission of an HEV may include an electronic control unit that controls the speed of the engine to simulate gears, and increases the speed of the engine responsive to a driver using the gear selector to shift from one of the simulated gears to a lower one of the simulated gears, thereby providing the desired rev-matching experience. The increased engine response can be reflected in a target engine speed that is calculated based on specific gear ratios associated with each of the simulated gears.

Systems, methods, and computer-readable media are disclosed for optimized driver seat and pedal positioning using ulna length. An example method may include determining, at a first time and using a sensor of a vehicle, an ulna length of a vehicle user. The example method may also include automatically adjusting a seating position of the vehicle user to a first seating position based on the ulna length of the vehicle user.

A method for operating a drive-train of a vehicle, such as a municipal or agricultural utility vehicle, having at least one drive machine, a vehicle transmission with at least two gears, at least one drive axle and at least one auxiliary power take-off. The method includes controlling or regulating a supply of normal power from the drive machine as a function of a normal torque characteristic. Depending on the operating situation, supplying additional power to the at least one drive axle and/or to the at least one auxiliary power take-off. The supplied additional power is controlled or regulated as a function of operating situation dependent torque characteristics which are called up as a function of the selected gear at the time.

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: predict, at a trained machine learning classifier, a target slip value based on a predicted slip slope and a predicted road texture, wherein the predicted slip slope and the predicted road texture are determined using sensor data representing tire forces and modify at least one vehicle action based on the target slip value when a confidence level value corresponding to the target slip value is greater than or equal to a confidence level threshold.

A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: estimate a slip condition corresponding to at least one vehicle wheel; and generate, via an explicit Nonlinear Model Predictive Control (NMPC) module, control data for operating the at least one vehicle wheel based on the estimated slip condition. The explicit Nonlinear Model Predictive Control (NMPC) module includes a feedforward control module that is configured to generate adjustment data based on the estimated slip condition, wherein the adjustment data modifies the control data.