The present disclosure provides an engine stop/start control system for a vehicle comprising a first engine restart module configured to set a restart frequency and duration of an engine in response to a sensed ambient temperature, a second engine restart module configured to control the engine in response to a sensed characteristic temperature associated with the engine, a third engine restart module configured to control the engine in response to occurrence or non-occurrence of at least one expected charging event along a predefined route, a fourth engine restart module configured to control the engine in response to a state-of-charge of an energy storage device, and a route optimization module configured to set and adjust a proposed route to a destination that results in reduced engine usage.

A control method of a hybrid powertrain for a vehicle having an internal combustion engine, an electrical machine connected to a crankshaft of the internal combustion engine via a transmission and a control unit are disclosed. The method includes acquisitioning first data representative of the efficiency of the internal combustion engine, of the electrical machine and of the transmission, acquisitioning second data representative of operating conditions of the vehicle, and processing the data, which includes calculating a distribution of the torque between the internal combustion engine and the electrical machine.

A hybrid electric vehicle that searches for a path based on efficiency in consideration of powertrain characteristics of the vehicle and a searching method thereof are provided. The method includes acquiring driving environment information and determining a driving load of the vehicle in each of a plurality of sections of at least one path from a point of departure to a destination. Output energy and brake energy are determined in each of the sections based on the determined driving load and consumption energy and regeneration energy are determined in each of the sections based on the output and brake energies in each of the sections. Energy consumption is determined in each of the at least one path by summing the consumption and regeneration energies in the sections and an energy minimization path is determined by comparing the determined energy consumptions on the at least one path.

Engine systems, vehicles and methods related to refueling in conjunction with infrastructure to vehicle communication. A vehicle or engine system may receive refueling information including a fuel quantity at a refueling event, and uses the refueling information to identify and/or eliminate measurement or modelling bias in the underlying engine system controls. The vehicle may also self-determine fuel efficiency. The vehicle may use charging data, rather than refueling data, to perform calculations of battery life, state of charge, state of health, and efficiency in electric vehicle examples.

Methods, systems, and devices related to a method of controlling an autonomous vehicle, in particular, an autonomous diesel-engine truck are disclosed. In one example aspect, the method includes determining an available engine brake torque generation mechanism for reducing a current speed of the autonomous vehicle to a lower speed and selecting a brake mode corresponding to the engine brake torque availability. In case a rate of speed reduction is equal to or smaller than a threshold, the brake mode includes only an engine brake in which engine exhaust valve opening is adjusted for reducing the current speed. The threshold determined in part based on the available engine brake torque, gear position of the transmission, and the online estimated vehicle longitudinal dynamic model. In case the rate of speed reduction is greater than the threshold, the brake mode incudes a combination of the engine brake and the foundation brake.

A vehicle control system, in which that maintains a reaction force against the backward movement of a vehicle while preventing an overheating of a motor due to phase lock of the motor. When a thermal load on a specific phase of the motor exceeds a threshold value, a controller execute a phase shift control to reduce a thermal load on a specific phase of the motor by changing a rotational angle of the motor, while interrupting torque transmission between the motor and wheels and generating the torque to stop the vehicle by the actuator.

A vehicle can include throttle, braking, and steering systems. The vehicle can further include a computing system that obtains, from one or more sensors, data representing one or more of a velocity or an acceleration of the vehicle. The computing system can further determine an estimated weight of the vehicle based on the one or more of the velocity or the acceleration of the vehicle, and autonomously operate the throttle, braking, and steering systems of the vehicle based on the estimated weight of the vehicle.

Methods and systems are provided for operating a high voltage generator coupled to a plug-in hybrid vehicle driven by a reciprocating piston engine. In one example, a method may include, predicting variations in output torque from the reciprocating piston engine and adjusting the driving torque required for the high voltage electric generator based upon the predicted torque variations.

Methods and systems for operating a hybrid vehicle having a first power source that uses a rechargeable battery and a second power source that uses a fuel. Preview information relating to upcoming road and traffic is used to generate a speed reference. A transmission torque reference is calculated using the speed reference and upcoming road information. A predictive power split plan is then determined by optimizing use of the first and second power sources to satisfy the transmission torque reference. At least a first sample of the predictive power split plan is then implemented.

Methods and systems for hybrid vehicle control. A high-level controller and a low-level controller are provided. The high-level controller uses preview information and a model of the low-level controller to calculate optimized tuning parameters for the low-level controller. The low-level controller uses driver inputs and current operating states to calculate optimized torque split for the hybrid engine.