Electric vehicle thermal management system with battery heat storage

1. A system comprising:

at least one computer processing unit; and

non-transitory computer-readable media configured to store computer-executable instructions configured to cause the at least one computer processing unit to control one or more valves that facilitate flow of coolant among a battery system, a powertrain system, and a radiator,

wherein the one or more valves is controlled at least partially based on control inputs and priorities,

wherein the control inputs comprise historic information comprising average weather conditions for a location for a predetermined date range, trending information comprising weather conditions experienced by a vehicle for a predetermined prior time period, and predictive information comprising weather conditions forecast for the vehicle for a predetermined future time period, and

wherein the priorities comprise an order of importance for satisfying a battery system requirement and satisfying a powertrain system requirement.

2. The system of claim 1 , wherein the control inputs further comprise currently sensed information.

3. The system of claim 2 , wherein the currently sensed information includes at least one sensed information chosen from vehicle speed, vehicle load, and electrical load.

4. The system of claim 2 , wherein the currently sensed information includes at least one sensed information chosen from pressure and temperature.

5. The system of claim 4 , wherein the temperature includes coolant temperature.

6. The system of claim 1 , wherein the priorities further comprise an order of importance for satisfying a cabin environment requirement.

7. The system of claim 6 , wherein the priorities comprise an order of importance based on arbitrator logic.

8. The system of claim 1 , wherein:

the at least one computer processing unit is configured to receive signals from a plurality of temperature sensors; and

the instructions are further configured to cause the at least one computer processing unit to select one coolant flow state based at least in part on the signals from the plurality of temperature sensors.

9. The system of claim 1 , wherein the at least one computer processing unit is further configured to select one of multiple coolant flow states based at least in part on a signal from a human-machine interface that is configured to permit a vehicle occupant to select desired cabin environmental conditions.

10. A system comprising:

a plurality of sensors; and

a controller configured to acquire data from the plurality of sensors, the controller including:

at least one computer processing unit; and

non-transitory computer-readable media configured to store computer-executable instructions configured to cause the at least one computer processing unit to cause the controller to control valves to facilitate flow of coolant among a plurality of different, selectable coolant flow states involving a battery system, a powertrain system, and a radiator, the controller controlling the valves at least partially based on control inputs and priorities,

wherein the control inputs are parameters measured, calculated or provided from outside of a vehicle and comprise historic information comprising average weather conditions for a location for a predetermined date range, trending information comprising weather conditions experienced by the vehicle for a predetermined prior time period, and predictive information comprising weather conditions forecast for the vehicle for a predetermined future time period, and wherein the priorities are based on performance factors, and

wherein the priorities include an order of importance for providing a desired cabin environment for an occupant, satisfying a battery system requirement, and satisfying powertrain system requirements.

11. The system of claim 10 , wherein the control inputs further comprise currently sensed information.

12. The system of claim 11 , wherein the currently sensed information includes at least one sensed information chosen from vehicle speed, vehicle load, and electrical load.

13. The system of claim 11 , wherein the currently sensed information includes at least one sensed information chosen from pressure and temperature.

14. The system of claim 10 , wherein the priorities include at least one priority chosen from cabin environment, the battery system requirement, the powertrain system requirements.

15. The system of claim 14 , wherein the priorities are set based on arbitrator logic.

16. The system of claim 10 , wherein:

the plurality of sensors includes a plurality of temperature sensors; and

the instructions are further configured to cause the at least one computer processing unit to cause the controller to select one of the coolant flow states based at least in part on signals from the plurality of temperature sensors.

17. The system of claim 16 , wherein at least one of the plurality of temperature sensors is configured to sense coolant temperature.

18. The system of claim 11 , wherein the controller is further configured to select one of the coolant flow states based at least in part on a signal from a human-machine interface.

19. A method of controlling heat flow between systems, the method comprising:

identifying, by at least one data processor, a flow of coolant among a battery system, a powertrain system, and a radiator;

providing, by the at least one data processor, output to a controller to facilitate control of a desired coolant flow; and

controlling a heating, ventilation and air conditioning (HVAC) system to control one or more valves at least partially based on control inputs and priorities,

wherein the one or more valves is controlled at least partially based on the control inputs and the priorities,

wherein the control inputs comprise historic information comprising average weather conditions for a location for a predetermined date range, trending information comprising weather conditions experienced by a vehicle for a predetermined prior time period, and predictive information comprising weather conditions forecast for the vehicle for a predetermined future time period, and

wherein the priorities comprise an order of importance for satisfying a battery system requirement and satisfying a powertrain system requirement.

20. The method of claim 19 , wherein the control inputs further comprise currently sensed information.