Abstract: Rolling engine start-stop (RESS) system and methods for a vehicle include a set of sensors configured to measure a set of operating parameters of the vehicle comprising at least (i) driver input via brake pedal of the vehicle, (ii) vehicle speed, and (iii) a steering angle of the vehicle and a controller configured to, based on the set of operating parameters, determine a target vehicle speed for stopping an engine of the vehicle, and based on the steering angle of the vehicle, selectively stopping the engine of the vehicle when the vehicle speed falls to the determined target vehicle speed, wherein stopping the engine of the vehicle at the determined target vehicle speed decreases noise/vibration/harshness (NVH) caused by stopping the engine.

Abstract: Engine combustion phasing control techniques utilize a trained feedforward artificial neural network (ANN) to model both base and maximum brake torque (MBT) spark timing based on six inputs: intake and exhaust camshaft positions, mass and temperature of an air charge being provided to each cylinder of the engine, engine speed, engine coolant temperature. The selected target spark timing could be adjusted based on a two-dimensional surface having engine speed and air charge mass as inputs. The target spark timing adjustment could be performed only during an initial period when the trained ANN is immature. The ANN could also be trained using dynamometer data for the engine that is artificially weighted for high load regions where accuracy of spark timing is critical.