Charge system to improve battery operational life

1. A computer-implemented method comprising:

estimating a departure time of a future journey associated with a mobile client device using a processor configured to perform the estimating;

verifying one or more electrical characteristics of a battery associated with the mobile client device;

determining a target state of charge for the battery at the departure time responsive to verifying the one or more electrical characteristics of the battery;

determining a charge scheme that improves an operational life of the battery, the charge scheme having a combining charge cost that satisfies a charge objective of the mobile client device, wherein a power cost is associated with a first scaling factor, a battery degradation cost is associated with a second scaling factor, the first scaling factor and the second scaling factor are based on different values provided by a user of the mobile client device, and the combining charge cost includes a sum of the power cost weighted by the first scaling factor and the battery degradation cost weighted by the second scaling factor; and

charging the battery based on the charge scheme, wherein the battery of the mobile client device has the target state of charge at the departure time.

2. The method of claim 1 , wherein determining the charge scheme comprises:

receiving data describing one or more demand response requirements;

determining one or more available time slots that satisfy the one or more demand response requirements;

determining a set of potential charge schemes based on the one or more available time slots, each potential charge scheme configured to include one or more corresponding time slots from the one or more available time slots, each potential charge scheme configured to charge the battery to achieve the target state of charge at a charge completion time before the departure time;

estimating a set of power costs for the set of potential charge schemes;

estimating a set of battery degradation costs for the set of potential charge schemes;

determining a set of combining charge costs for the set of potential charge schemes based on the set of power costs and the set of battery degradation costs; and

determining the charge scheme as a potential charge scheme associated with a minimal combining charge cost from the set of combining charge costs.

3. The method of claim 1 , wherein the battery degradation cost includes one or more of a speed degradation cost, a temperature degradation cost, a high-state of charge (SOC) degradation cost, and a low-SOC degradation cost.

4. The method of claim 1 , further comprising:

generating graphical data for providing a user interface that allows the user to specify the charge objective for the mobile client device; and

receiving from the user the different values for the first scaling factor and the second scaling factor.

5. The method of claim 1 , wherein the charge objective includes one or more of charging the battery of the mobile client device with reduced power costs and extending the operational life of the battery.

6. The method of claim 1 , wherein the one or more electrical characteristics of the battery include waveform characteristics and a lag time associated with the battery.

7. The method of claim 1 , wherein the mobile client device includes a vehicle.

8. A computer program product comprising a non-transitory computer-usable medium including a computer-readable program, wherein the computer-readable program when executed on a computer causes the computer to:

estimate a departure time of a future journey associated with a mobile client device using a processor configured to perform the estimate;

verify one or more electrical characteristics of a battery associated with the mobile client device;

determine a target state of charge for the battery at the departure time responsive to verifying the one or more electrical characteristics of the battery;

determine a charge scheme that improves an operational life of the battery, the charge scheme having a combining charge cost that satisfies a charge objective of the mobile client device, wherein a power cost is associated with a first scaling factor, a battery degradation cost is associated with a second scaling factor, the first scaling factor and the second scaling factor are based on different values provided by a user of the mobile client device, and the combining charge cost includes a sum of the power cost weighted by the first scaling factor and the battery degradation cost weighted by the second scaling factor; and

charging the battery based on the charge scheme, wherein the battery of the mobile client device has the target state of charge at the departure time.

9. The computer program product of claim 8 , wherein determining the charge scheme comprises:

receiving data describing one or more demand response requirements;

determining one or more available time slots that satisfy the one or more demand response requirements;

determining a set of potential charge schemes based on the one or more available time slots, each potential charge scheme configured to include one or more corresponding time slots from the one or more available time slots, each potential charge scheme configured to charge the battery to achieve the target state of charge at a charge completion time before the departure time;

estimating a set of power costs for the set of potential charge schemes;

estimating a set of battery degradation costs for the set of potential charge schemes;

determining a set of combining charge costs for the set of potential charge schemes based on the set of power costs and the set of battery degradation costs; and

determining the charge scheme as a potential charge scheme associated with a minimal combining charge cost from the set of combining charge costs.

10. The computer program product of claim 8 , wherein the battery degradation cost includes one or more of a speed degradation cost, a temperature degradation cost, a high-state of charge (SOC) degradation cost, and a low-SOC degradation cost.

11. The computer program product of claim 8 , wherein:

generating graphical data for providing a user interface that allows the user to specify the charge objective for the mobile client device; and

receiving from the user the different values for the first scaling factor and the second scaling factor.

12. The computer program product of claim 8 , wherein the charge objective includes one or more of charging the battery of the mobile client device with reduced power costs and extending the operational life of the battery.

13. The computer program product of claim 8 , wherein the one or more electrical characteristics of the battery include waveform characteristics and a lag time associated with the battery.

14. The computer program product of claim 8 , wherein the mobile client device includes a vehicle.

15. A system comprising:

a processor; and

a memory storing instructions that, when executed, cause the system to:

estimate, using the processor, a departure time of a future journey associated with a mobile client device;

verify one or more electrical characteristics of a battery associated with the mobile client device;

determine a target state of charge for the battery at the departure time responsive to verifying the one or more electrical characteristics of the battery; and

determine a charge scheme that improves an operational life of the battery, the charge scheme having a combining charge cost that satisfies a charge objective of the mobile client device, wherein a power cost is associated with a first scaling factor, a battery degradation cost is associated with a second scaling factor, the first scaling factor and the second scaling factor are based on different values provided by a user of the mobile client device, and the combining charge cost includes a sum of the power cost weighted by the first scaling factor and the battery degradation cost weighted by the second scaling factor; and

charging the battery based on the charge scheme, wherein the battery of the mobile client device has the target state of charge at the departure time.

16. The system of claim 15 , wherein the instructions when executed cause the system to determine the charge scheme by:

receiving data describing one or more demand response requirements;

determining one or more available time slots that satisfy the one or more demand response requirements;

determining a set of potential charge schemes based on the one or more available time slots, each potential charge scheme configured to include one or more corresponding time slots from the one or more available time slots, each potential charge scheme configured to charge the battery to achieve the target state of charge at a charge completion time before the departure time;

estimating a set of power costs for the set of potential charge schemes;

estimating a set of battery degradation costs for the set of potential charge schemes;

determining a set of combining charge costs for the set of potential charge schemes based on the set of power costs and the set of battery degradation costs; and

determining the charge scheme as a potential charge scheme associated with a minimal combining charge cost from the set of combining charge costs.

17. The system of claim 15 , wherein the battery degradation cost includes one or more of a speed degradation cost, a temperature degradation cost, a high-state of charge (SOC) degradation cost, and a low-SOC degradation cost.

18. The system of claim 15 , wherein:

generating graphical data for providing a user interface that allows the user to specify the charge objective for the mobile client device; and

receiving from the user the different values for the first scaling factor and the second scaling factor.

19. The system of claim 15 , wherein the charge objective includes one or more of charging the battery of the mobile client device with reduced power costs and extending the operational life of the battery.

20. The system of claim 15 , wherein the one or more electrical characteristics of the battery include waveform characteristics and a lag time associated with the battery.