A system is provided for performing an automated electrification operation for an electric vehicle (102) using a processor (122). An electrification controller (126) communicates with a model generation unit (128). The model generation unit (128) generates a model representative of a power consumption trend of the electric vehicle (102). The electrification controller (126) sets a target power margin for the electric vehicle (102) based on the model such that the target power margin is close to a minimum state-of-charge (SOC) threshold of an energy storage supply (124) of the electric vehicle (102). The target power margin represents a difference between the minimum SOC threshold and an ending power level of the energy storage supply (124) after completion of a mission associated with the electric vehicle (102). The processor (122) performs the automated electrification operation for the electric vehicle (102) based on the target power margin.

Methods and system are provided to select a battery control strategy for a hybrid battery of a hybrid electric vehicle. The methods comprise receiving forecast weather information at a first location, determining an operational parameter of the hybrid battery, and selecting a first battery control strategy based on the forecast weather information and the operational parameter of the hybrid battery, wherein the control strategy comprises a state of charge target for the hybrid battery required for a next start sequence.

A system for controlling a vehicle combination comprising a tractor unit and at least one trailing unit is disclosed. The system has a target generator to determine a virtual control input for the vehicle combination based on a reference input for the vehicle combination. A power manager determines a power allocation input for the vehicle combination based on the reference input and a power capability of one or more units of the vehicle combination. A combination control allocator determines a control input for the vehicle combination based on the power allocation input and the virtual control input.

A method of distributed control allocation in a vehicle combination including multiple vehicle units is provided, in which a master control allocator solves a combination-specific control allocation problem to perform control allocation on a combination level, and each of a plurality of slave control allocators receives unit-specific virtual control inputs from the master control allocator and then performs control allocation on vehicle unit level to control actuators of an associated vehicle unit. A method performed in a master control allocator, a method performed in a slave control allocator, a distributed control allocation system, a master control allocator, a slave control allocator, a vehicle combination, a vehicle unit, and computer programs and computer program products are also provided.

An apparatus for a vehicle may comprise a processor and a memory storing at least one instruction that, when executed by the processor communicating with the memory, is configured to cause the apparatus to determine, via at least one sensor of the vehicle and based on a state of health (SOH) of a battery of the vehicle, a degradation state of the battery, output a signal indicating the determined degradation state of the battery, and control, based on the signal, at least one of charging or discharging of the battery by expanding at least one of a charge prohibition region or a discharge prohibition region of a state of charge (SOC) control strategy of the battery.