Optimization-based predictive method for battery charging

1. A non-transitory computer-readable storage medium having machine instructions stored therein, the instructions being executable by a processor to cause the processor to perform operations comprising:

determining, by the processor, an initial state of charge of a battery based on data acquired by a battery monitor;

determining, by the processor, a target state of charge for the battery;

determining a plurality of charging solutions to achieve the target state of charge based on an optimization of one of a plurality of variables of the battery;

narrowing, by the processor, the plurality of charging solutions to charging solutions that meet an objective of each of the remaining plurality of variables of the battery;

selecting, by the processor, the charging solution that meets the objective of each of the remaining plurality of variables; and

regulating, by the processor, an amount of charge to the battery in accord with the selected charging solution.

2. The medium of claim 1 , wherein the battery is at least one of a lithium-ion, lead-acid, and nickel-metal-hydride rechargeable battery.

3. The medium of claim 1 , wherein the plurality of variables includes at least one of an amount of energy lost during charging of the battery, a charge time for the battery, an amount of life of the battery, and a state of health of the battery.

4. The medium of claim 1 , wherein the optimization of the one variable includes one of minimizing an amount of energy lost during charging of the battery, minimizing a charge time for the battery, maximizing an amount of life of the battery, and maximizing a state of health of the battery.

5. The medium of claim 1 , wherein the determination of a plurality of charging solutions to achieve the target state of charge based on the optimization of the one variable is determined within a physical constraint of the battery.

6. The medium of claim 5 , wherein the physical constraint of the battery includes at least one of a maximum operating temperature, a maximum voltage, and a maximum current.

7. The medium of claim 1 , wherein the objective of each of the remaining plurality of variables of the battery includes at least one of a predefined minimum amount of energy lost during charging of the battery, a minimum charge time for the battery, a minimum amount of life of the battery, and a minimum state of health of the battery.

8. A battery management system for a rechargeable battery, the system comprising:

a battery monitor configured to acquire data regarding a rechargeable battery; and

a processor coupled to the battery monitor and configured to:

determine an initial state of charge of the battery based on the acquired data;

determine a target state of charge for the battery;

determine a plurality of charging solutions to achieve the target state of charge based on an optimization of one of a plurality of variables of the battery;

narrow the plurality of charging solutions to charging solutions that meet an objective of each of the remaining plurality of variables of the battery;

select the charging solution that meets the objective of each of the plurality of variables of the battery; and

regulate an amount of charge to the battery in accord with the selected charging solution.

9. The system of claim 8 , wherein the rechargeable battery is at least one of a lithium-ion, lead-acid, and nickel-metal-hydride battery.

10. The system of claim 8 , wherein the plurality of variables includes at least one of an amount of energy lost during charging of the battery, a charge time for the battery, an amount of life of the battery, and a state of health of the battery.

11. The system of claim 8 , wherein the optimization of the one variable includes one of minimizing an amount of energy lost during charging of the battery, minimizing a charge time for the battery, maximizing an amount of life of the battery, and maximizing a state of health of the battery.

12. The system of claim 8 , wherein the determination of a plurality of charging solutions to achieve the target state of charge based on the optimization of the one variable is determined within a physical constraint of the battery.

13. The system of claim 12 , wherein the physical constraint of the battery includes at least one of a maximum operating temperature, a maximum voltage, and a maximum current.

14. The system of claim 8 , wherein the objective of each of the remaining plurality of variables of the battery includes at least one of a predefined minimum amount of energy lost during charging of the battery, a minimum amount of charge time for the battery, a minimum amount of life of the battery, and a minimum state of health of the battery.

15. A vehicle comprising:

a battery management system configured to regulate recharging of a battery of the vehicle, the battery management system including:

a battery monitor configured to acquire data regarding the battery; and

a processor coupled to the battery monitor and configured to:

determine an initial state of charge of the battery based on the acquired data;

determine a target state of charge for the battery;

determine a plurality of charging solutions to achieve the target state of charge based on an optimization of one variable of the battery of a plurality of variables of the battery;

narrow the plurality of charging solutions to charging solutions that meet an objective of each of the remaining plurality of variables of the battery;

select the charging solution that meets the objective of each of the plurality of variables of the battery; and

regulate an amount of charge to the battery in accord with the selected charging solution.

16. The vehicle of claim 15 , wherein the battery is at least one of a lithium-ion, lead-acid, and nickel-metal-hydride battery.

17. The vehicle of claim 15 , wherein the vehicle is at least one of a hybrid and full electric vehicle.

18. The vehicle of claim 15 , wherein the plurality of variables includes at least one of an amount of energy lost during charging of the battery, a charge time for the battery, an amount of life of the battery, and a state of health of the battery.

19. The vehicle of claim 15 , wherein the optimization of the one variable includes one of minimizing the amount of energy lost during charging of the battery, minimizing the charge time for the battery, maximizing the amount of life of the battery, and maximizing the state of health of the battery.

20. The vehicle of claim 15 , wherein the determination of a plurality of charging solutions to achieve the target state of charge based on the optimization of the one variable is determined within a physical constraint of the battery.

21. The vehicle of claim 20 , wherein the physical constraint of the battery includes at least one of a maximum operating temperature, a maximum voltage, and a maximum current.

22. The vehicle of claim 15 , wherein the objective of each of the remaining plurality of variables of the battery includes at least one of a predefined minimum amount of energy lost during charging of the battery, a minimum charge time for the battery, a minimum amount of life of the battery, and a minimum state of health of the battery.