Abstract: A vehicle thermal system includes a coolant circuit having at least one coolant loop, a pump, a valve, and a component to be cooled. A controller is programmed to receive a flow target indicating a coolant flow required to cool the component, receive a coolant temperature and a position of the valve, determine a pressure drop for a given flow target, coolant temperature, and valve position, determine a maximum flow based on the given flow target, coolant temperature, and valve position, determine a pump pressure rise for the given flow target and coolant temperature, and a pump speed required to meet the given flow target, determine a pump maximum pressure rise for the given coolant temperature, and a maximum coolant flow rate and a pump maximum speed, determine a final pump speed required to meet the received flow target, and command the pump to operate at the final pump speed.

Abstract: A vehicle thermal system includes a coolant circuit having at least one coolant loop, a pump, a valve, and a component to be cooled. A controller is programmed to receive a flow target indicating a coolant flow required to cool the component, receive a coolant temperature and a position of the valve, determine a pressure drop for a given flow target, coolant temperature, and valve position, determine a maximum flow based on the given flow target, coolant temperature, and valve position, determine a pump pressure rise for the given flow target and coolant temperature, and a pump speed required to meet the given flow target, determine a pump maximum pressure rise for the given coolant temperature, and a maximum coolant flow rate and a pump maximum speed, determine a final pump speed required to meet the received flow target, and command the pump to operate at the final pump speed.

Abstract: A predictive supervisory energy management technique for a fuel cell electric vehicle (FCEV) involves monitoring driver inputs to the FCEV, states of the FCEV, and external inputs affecting the FCEV along a defined route, predicting energy consumption by a high voltage system of the FCEV across a future prediction horizon based on the driver inputs, the states of the FCEV, and the external inputs affecting the determining weighting factors and boundary conditions for a cost function for the energy consumption by the high voltage system of the FCEV, evaluating the cost function based on the determined weighting factors, boundary conditions, and the predicted energy consumption by the high voltage system across the future prediction horizon, and optimally controlling a fuel cell system and a high voltage battery system of the high voltage system of the FCEV based on the evaluation of the cost function.

Abstract: User-customizable range extension techniques for battery electric vehicles (BEVs) include receiving, by a controller and from a user interface, a first user input from a user indicating a range extension level for operation of the BEV, the range extension level indicating a reduced operation of the BEV relative to a normal operation of the BEV to increase the range of the BEV, receiving, by the controller and from the user interface, a second user input from the user indicating an allocation of the range extension level between a plurality of different systems of the BEV, and controlling, by the controller, the BEV including its plurality of different systems based on the range extension level and the indicated allocation thereof to increase a range of the BEV as specified by the user.