Systems and methods are provided for presenting in a hybrid electric vehicle display, proximate to or in some relation to each other, engine power usage, motor-generator power usage, and battery state of charge information. By combining the display of engine power usage, motor-generator power, and battery state of charge information, power distribution and related information may be presented to the operator of a vehicle to explain the vehicle's performance from a power split output and usage perspective. This can provide reassurance or confirmation that the vehicle is operating as it should, identify a problematic condition, etc. Sometimes, the motor-generator power usage may be presented as boost power, where motor-generator power can augment engine power.

At least some embodiments of the present disclosure are directed to systems and methods of online power management for hybrid powertrains. In some embodiments, the hybrid powertrain control system is configured to conduct a brake-thermal-efficiency (BTE) estimation procedure when the powertrain is in operation by operating the hybrid powertrain at a plurality of speeds for a plurality of designated power levels and select certain BTE operating conditions to update the power management.

Systems and methods for controlling a hybrid system. For example, a computer-implemented method includes determining a system temperature zone of the aftertreatment system as being in: a first temperature zone below a first temperature threshold, a second temperature zone from the first temperature threshold to a second temperature threshold, or a third temperature zone above the second temperature threshold; determining a power demand corresponding to the operation of the hybrid system as being in: a first power demand zone if the power demand is below a power threshold, or a second power demand zone if the power demand is equal to or greater than the power threshold; and determining a control strategy based at least in part on the determined system temperature zone and the determined power demand.

A system includes a generator and an engine coupled to the generator. The engine is configured to provide mechanical power to the generator. The system further includes a controller coupled to the engine and the generator. The controller is configured to: receive information regarding an engine operating parameter threshold value at which an engine operating parameter value failed to match a load demand value that is indicative of a load exerted by the generator on the engine, and set the engine operating parameter threshold value as a maximum allowable engine operating parameter value for the engine.

A system and method for power management of hybrid electric vehicles is provided. In some implementations, a plug-in series hybrid electric vehicle may include an engine, a motor/generator (MG), a traction motor, an energy storage device, and a controller. The controller is coupled to the engine and the MG to control operation of the engine and the MG such that a state-of-charge (SOC) of the energy storage device tracks a dynamic reference SOC profile during a trip and an average engine power (AEP) is maintained above a threshold. In some instances, maintaining AEP above a threshold supports emission control of the vehicle.

A method and system for operating a multi-mode electro-mechanical infinitely variable transmission (EMIVT) that is coupled to an engine and includes two electric machines is described. In one example, operating modes of the two electric machines are controlled without regard to vehicle speed and system conditions that are external to the two electric machines.

A method for controlling a vehicle on a mission, the vehicle comprising a first and a second power source for driving the vehicle itself, wherein the first power source comprises an engine configured to generate power from fuel and an after treatment system coupled to the combustion engine, the method comprising the steps of solving a convex first optimal control problem based on a mathematical model of the vehicle, the first optimal control problem involving state variables for the after treatment system, a set of constraints, and a cost function having control variables that include a discrete variable and a continuous variable; the solving including an initial determination of the discrete variable and a iterative execution of minimizing the cost function after replacement of the discrete variable with respect to the continuous variable, updating the discrete variable, and verifying the satisfaction of a convergence criterion.

Methods and systems are provided for operating a driveline of a hybrid vehicle during conditions when a temperature of a motor/generator is increasing. In one example, a method is provided that adjusts engine speed as a function of motor/generator temperature while maintaining engine power output when driver demand wheel power is constant.

An electrified vehicle may include an engine, an electric machine selectively coupled to the engine, a high-voltage traction battery electrically coupled to the electric machine and configured to selectively propel the electrified vehicle, an on-board generator including an inverter electrically coupled to the high-voltage traction battery and configured to convert direct current input to alternating current output, power outlets configured to receive power from the inverter of the on-board generator, a user interface, and a controller programmed to control the engine, the electric machine, and the high-voltage traction battery to provide power to on-board generator and to control the inverter to limit the power output by the inverter to the power outlets to one of a user-specified power limit based on input from the user interface, a powertrain power limit associated with the engine, the electric machine, and the high-voltage traction battery, and an inverter hardware power limit.

Embodiments of the present application disclose a safety control method and a safety control system based on environmental risk assessment for an intelligent connected vehicle. The method includes: when a vehicle is in an automatic driving mode, acquiring environmental parameter information of the vehicle in a current driving environment; determining a target driving control parameter which meets a preset safe driving condition under the current environmental parameter; and managing a current automatic driving level of the vehicle by using the target driving control parameter.