Integrated hybrid vehicle control strategy

1. A method for allocating energy within a vehicle, comprising:

calculating an energy forecast for the vehicle based upon a plurality of strategy variables in a vehicle controller, wherein the plurality of strategy variables include:

driver profile information, global positioning system (GPS) information, energy storage system (ESS) information, accessory information, and system default parameters;

calculating a charging strategy based upon:

the calculated energy forecast, and the plurality of strategy variables;

determining a control strategy for energy allocation based upon:

the plurality of strategy variables, the calculated energy forecast, and the calculated charging strategy;

allocating energy to vehicle systems based upon:

the determined control strategy including:

limiting at least one of a plurality of vehicle functions when the calculated energy forecast predicts that the vehicle has insufficient power; and

monitoring a vehicle route for

recalculating: the energy forecast and the charging strategy for determining a new control strategy of the vehicle when the vehicle deviates from one of a predetermined route and the calculated energy forecast.

2. The method of claim 1 , further comprising:

inputting the driver profile information by:

inputting a driver identifier into the vehicle controller;

selecting one of a corresponding driver profile and a default driver profile; and

calculating driver information by utilizing an algorithm based upon a profile selected during the selecting step.

3. The method of claim 2 , wherein the step of inputting the driver profile information includes:

inputting at least one of: a driver route history, at least one driving habit, a preferred driver temperature setting, and a preferred driver audio setting.

4. The method of claim 3 , wherein the step of inputting the driver profile information further includes:

associating the driver route history with: a time of the day that the vehicle is driven and an associated accessory usage.

5. The method of claim 1 further comprising:

inputting the GPS information, wherein the GPS information includes at least one of: a current vehicle location, vehicle destination, vehicle route, 3D maps, topological data, traffic information, and points of interest.

6. The method of claim 5 , wherein the step of inputting the GPS information includes:

calculating a vehicle loss due to: drag, rolling resistance and start and stops of the vehicle for the vehicle route.

7. The method of claim 5 , wherein the GPS information includes a number of: vehicle stops and vehicle route grades and descents.

8. The method of claim 1 , wherein the step of limiting at least one of a plurality of vehicle functions continues until one of:

reaching a destination, and

utilizing a vehicle forecast for determining if the vehicle has sufficient energy based upon the predicted energy forecast.

9. The method of claim 1 , wherein the step of limiting at least one of the plurality of vehicle functions includes at least one of:

limiting a vehicle acceleration level,

limiting a top speed of the vehicle, and

limiting non-safety accessory loads on the vehicle.

10. A method for allocating energy within a vehicle comprising:

calculating an energy forecast for the vehicle based upon a plurality of strategy variables in a vehicle controller, wherein the plurality of strategy variables include:

driver profile information, global positioning system (GPS) information, energy storage system (ESS) information, accessory information, and system default parameters;

calculating a charging strategy based upon the calculated energy forecast and the plurality of strategy variables;

determining a control strategy for energy allocation based upon:

the plurality of strategy variables, the calculated energy forecast, and the calculated charging strategy;

allocating energy to vehicle systems based upon the control strategy by:

limiting at least one vehicle function when the calculated energy forecast predicts that the vehicle has insufficient power for a predetermined route and calculated charging strategy wherein the step of limiting the at least one vehicle function continues until one of:

reaching a destination, and

utilizing a vehicle forecast for determining if the vehicle has sufficient energy based upon the predicted energy forecast.

11. The method of claim 10 , wherein the step of limiting at least one vehicle function includes at least one of:

limiting a vehicle acceleration level,

limiting a top speed of the vehicle, and

liming non-safety accessory loads on the vehicle.

12. The method of claim 10 further comprising:

inputting the driver profile information by:

inputting a driver identifier into the vehicle controller;

selecting one of a corresponding driver profile and a default driver profile; and

calculating driver information by utilizing an algorithm based upon a profile selected during the selecting step.

13. The method of claim 12 , wherein the step of inputting the driver profile information includes:

inputting at least one of: a driver route history, at least one driving habit, a preferred driver temperature setting, and a preferred driver audio setting.

14. The method of claim 13 , wherein the step of inputting the driver profile information includes:

associating the driver route history with: a time of the day that the vehicle is driven and an associated accessory usage.

15. The method of claim 10 further comprising:

inputting the GPS information, wherein the GPS information includes: at least one of: a current vehicle location, vehicle destination, vehicle route, 3D maps, topological data, traffic information, and points of interest.

16. The method of claim 15 , wherein the step of inputting the GPS information includes:

calculating vehicle loss due to: drag, rolling resistance and start and stops of the vehicle for the vehicle route.

17. The method of claim 15 , wherein the GPS information includes number of: vehicle stops and vehicle route grades and descents.

18. The method of claim 1 , wherein the plurality of strategy variables further includes:

environment information, wherein the method further comprises the step of:

supplying the environment information to the vehicle controller.

19. The method of claim 18 , wherein a global positioning system conducts the step of supplying the environment information to the vehicle controller.

20. The method of claim 18 , wherein the environment information includes ambient temperature, current weather and forecasted weather.

21. The method of claim 20 , wherein the environment information further includes: date information, time information, humidity information, 3-D map data, topological data, solar load data, air conditioning usage data, heat usage data, defrost usage data and windshield wiper usage data.

22. The method of claim 10 , wherein the plurality of strategy variables further includes:

environment information, wherein the method further comprises the step of:

supplying the environment information to the vehicle controller.

23. The method of claim 22 , wherein a global positioning system conducts the step of supplying the environment information to the vehicle controller.

24. The method of claim 22 , wherein the environment information includes ambient temperature, current weather and forecasted weather.

25. The method of claim 24 , wherein the environment information further includes: date information, time information, humidity information, 3-D map data, topological data, solar load data, air conditioning usage data, heat usage data, defrost usage data and windshield wiper usage data.