Systems and methods for predicting battery power-delivery performance

1. A method for predicting power-delivery performance for a battery, comprising:

retrieving a plurality of battery operating parameters for a selected discharge cycle;

receiving a user-defined power level;

calculating an offset indicative of a difference between a modeled internal resistance of the battery and an observed internal resistance generated from a calibration discharge cycle of the battery prior to the selected discharge cycle;

outputting a battery power-delivery performance prediction based on an offset-corrected internal resistance indicative of a difference between a modeled internal resistance based on the plurality of battery operating parameters and the offset; and

outputting a battery power-delivery performance prediction based on the offset-corrected internal resistance and the user-defined power level.

2. The method of claim 1 , further comprising:

receiving a user-adjusted power level that is different from the user-defined power level; and

outputting an updated battery power-delivery performance prediction based on the offset-corrected internal resistance and the user-adjusted power level.

3. The method of claim 1 , wherein the battery power-delivery performance prediction includes a time remaining till the battery reaches an end-of-discharge internal resistance.

4. The method of claim 1 , wherein the battery power-delivery performance prediction includes a vehicle travel distance till the battery reaches an end-of-discharge internal resistance.

5. The method of claim 1 , wherein the battery power-delivery performance prediction includes a battery state-of-health indicating whether the battery can deliver power for at least a target time.

6. The method of claim 5 , further comprising:

receiving a user-defined target time; and

adjusting the battery state-of-health based on the user-defined target time.

7. The method of claim 1 , wherein the plurality of battery operating parameters includes an operating current, an operating temperature, an observed internal resistance, and a charge state.

8. The method of claim 1 , wherein retrieving the plurality of battery operating parameters for the selected discharge cycle includes receiving a plurality of sensor signals indicative of the plurality of battery operating parameters in real time, and the battery power-delivery performance prediction is updated in real time during a current discharge cycle.

9. The method of claim 1 , wherein retrieving the plurality of battery operating parameters for the selected discharge cycle includes retrieving the plurality of battery operating parameters stored from a previous discharge cycle prior to a next discharge cycle, and the battery power-delivery performance prediction applies to the next discharge cycle.

10. A method for predicting power-delivery performance for a battery, comprising:

receiving a user-defined power level;

retrieving a plurality of battery operating parameters for a current discharge cycle in real time;

calculating an offset indicative of a difference between a modeled internal resistance of the battery and an observed internal resistance generated from a calibration discharge cycle of the battery prior to the current discharge cycle; and

outputting, during the current discharge cycle, a battery power-delivery performance prediction based on an offset corrected internal resistance indicative of a difference between a modeled internal resistance based on the plurality of battery operating parameters and the offset, and the user-defined power level.

11. The method of claim 10 , further comprising:

receiving a user-adjusted power level that is different from the user-defined power level; and

outputting an updated battery power-delivery performance prediction based on the offset-corrected internal resistance and the user-adjusted power level.

12. The method of claim 10 , wherein the battery power-delivery performance prediction includes a time remaining till the battery reaches an end-of-discharge internal resistance.

13. The method of claim 10 , wherein the battery power-delivery performance prediction includes a distance till the battery reaches an end-of-discharge internal resistance.

14. The method of claim 10 , wherein the battery power-delivery performance prediction includes a battery state-of-health indicating whether the battery can deliver power for at least a target time.

15. The method of claim 10 , wherein the calibration cycle is a full discharge cycle when a cycle count of discharge cycles without an occurrence of a full discharge cycle is less than a discharge cycle threshold and the calibration cycle is a partial discharge cycle when the cycle count of discharge cycles without an occurrence of a full discharge cycle is greater than the discharge cycle threshold.

16. A method for predicting power-delivery performance for a battery, comprising:

retrieving a plurality of battery operating parameters for a selected discharge cycle;

receiving a user-adjusted power level that is different from a received user-defined power level;

calculating an offset indicative of a difference between a modeled internal resistance of the battery and an observed internal resistance generated from a calibration discharge cycle of the battery prior to the selected discharge cycle;

outputting a battery power-delivery performance prediction based on an offset-corrected internal resistance indicative of a difference between a modeled internal resistance based on the plurality of battery operating parameters and the offset; and

outputting an updated battery power-delivery performance prediction based on the offset-corrected internal resistance and a user-adjusted power level.

17. A method for predicting power-delivery performance for a battery, comprising:

retrieving a plurality of battery operating parameters for a selected discharge cycle;

calculating an offset indicative of a difference between a modeled internal resistance of the battery and an observed internal resistance generated from a calibration discharge cycle of the battery prior to the selected discharge cycle;

outputting a battery power-delivery performance prediction based on an offset-corrected internal resistance indicative of a difference between a modeled internal resistance based on the plurality of battery operating parameters and the offset, wherein the battery power-delivery performance prediction includes a battery state-of-health indicating whether the battery can deliver power for at least a target time;

receiving a user-defined target time; and

adjusting the battery state-of-health based on the user-defined target time.