Method and device for estimating remaining available energy of a power battery

1. A method for estimating remaining available energy of a power battery, comprising:

acquiring, by a battery management system (BMS), state of charge (SOC) and a maximum available capability of each of cells in the power battery, wherein the cells in the power battery at least comprise a first cell and a second cell, wherein the first cell is a cell with minimum SOC among the cells in the power battery, wherein the second cell is a cell with minimum of maximum available capability among the cells in the power battery;

estimating, by the BMS, maximum available energy of the first cell and maximum available energy of the second cell;

estimating, by the BMS, remaining available energy of the first cell based on the maximum available energy of the first cell and SOC of the first cell;

estimating, by the BMS, remaining available energy of the second cell based on the maximum available energy of the second cell and SOC of the second cell; and

obtaining, by the BMS, remaining available energy of the power battery based on number of the cells in the power battery and a smaller remaining available energy between the remaining available energy of the first cell and the remaining available energy of the second cell.

2. The method for estimating remaining available energy of a power battery of claim 1 , wherein estimating, by the BMS, the remaining available energy of the first cell based on the maximum available energy of the first cell and the SOC of the first cell comprises:

acquiring, by the BMS, State of Energy (SOE) of the first cell corresponding to the SOC of the first cell; and

estimating, by the BMS, the remaining available energy of the first cell based on the maximum available energy of the first cell and the SOE of the first cell; and

wherein estimating, by the BMS, the remaining available energy of the second based on the maximum available energy of the second cell and the SOC of the second cell comprises:

acquiring, by the BMS, State of Energy (SOE) of the second cell corresponding to the SOC of the second cell;

estimating, by the BMS, the remaining available energy of the second cell based on the maximum available energy of the second cell and the SOE of the second cell.

3. The method for estimating remaining available energy of a power battery of claim 2 , further comprising:

acquiring, by the BMS, end of discharge SOE of the first cell and end of discharge SOE of the second cell;

wherein estimating, by the BMS, the remaining available energy of the first based on the maximum available energy of the first cell and the SOE of the first cell comprises:

estimating, by the BMS, the remaining available energy of the first cell based on the maximum available energy of the first cell, the SOE of the first cell and the end of discharge SOE of the first cell; and

wherein estimating, by the BMS, the remaining available energy of the second cell based on the maximum available energy of the second cell and the SOE of the second cell comprises:

estimating, by the BMS, the remaining available energy of the second cell based on the maximum available energy of the second cell, the SOE of the second cell and the end of discharge SOE of the second cell.

4. The method for estimating remaining available energy of a power battery of claim 3 , further comprising:

acquiring, by the BMS, discharge correction factor of the first cell and discharge correction factor of the second cell;

wherein estimating, by the BMS, the remaining available energy of the first cell based on the maximum available energy of the first cell, the SOE of the first cell and the end of discharge SOE of the first cell comprises:

estimating, by the BMS, the remaining available energy of the first cell based on the maximum available energy of the first cell, the SOE of the first cell, the end of discharge SOE of the first cell and the discharge correction factor of the first; and

wherein estimating, by the BMS, the remaining available energy of the second cell based on the maximum available energy of the second cell, the SOE of the second cell and the end of discharge SOE of the second cell comprises:

estimating, by the BMS, the remaining available energy of the second cell based on the maximum available energy of the second cell, the SOE of the second cell, the end of discharge SOE of the second cell and the discharge correction factor of the second cell.

5. The method for estimating remaining available energy of a power battery of claim 3 , wherein acquiring, by the BMS, end of discharge SOE of the first cell and end of discharge SOE of the second cell comprises:

estimating, by the BMS, end of discharge open circuit voltage (OCV) of the first cell based on discharge cut-off voltage of the first cell, predicted average discharge current of the first cell and direct current resistance at the end of discharge of the first cell;

acquiring, by the BMS, end of discharge SOC corresponding to the end of discharge OCV of the first cell;

acquiring, by the BMS, the end of discharge SOE corresponding to the end of discharge SOC of the first cell based on the pre-calibrated correspondence between the SOC and the SOE of the power battery; and

estimating, by the BMS, end of discharge open circuit voltage (OCV) of the second cell based on discharge cut-off voltage of the second cell, predicted average discharge current of the second cell and direct current resistance at the end of discharge of the second cell;

acquiring, by the BMS, end of discharge SOC corresponding to the end of discharge OCV of the second cell;

acquiring, by the BMS, the end of discharge SOE corresponding to the end of discharge SOC of the second cell.

6. The method for estimating remaining available energy of a power battery of claim 4 , wherein acquiring, by the BMS, discharge correction factor of the first cell and discharge correction factor of the second cell comprises:

acquiring, by the BMS, OCV corresponding to the SOC of the first cell;

estimating, by the BMS, discharge correction factor of the first cell based on the end of discharge OCV of the first cell, the predicted average discharge current of the first cell, average charge current of the first cell, direct current resistance in the middle of discharge of the first cell and the OCV corresponding to the SOC of the first cell, wherein the direct current resistance in the middle of discharge of the first cell is internal resistance when the SOC is 50%; and

acquiring, by the BMS, OCV corresponding to the SOC of the second cell;

estimating, by the BMS, discharge correction factor of the second cell based on the end of discharge OCV of the second cell, the predicted average discharge current of the second cell, average charge current of the second cell, direct current resistance in the middle of discharge of the second cell and the OCV corresponding to the SOC of the second cell, wherein the direct current resistance in the middle of discharge of the second cell is internal resistance when the SOC is 50%.

7. The method for estimating remaining available energy of a power battery of claim 5 , further comprising:

acquiring, by the BMS, the predicted average discharge current of the first cell through dividing average discharge current for a pre-determined time period before a current moment by number of parallel branches included in the power battery; and

acquiring, by the BMS, the predicted average discharge current of the second cell through dividing the average discharge current for a pre-determined time period before the current moment by the number of parallel branches included in the power battery.

8. The method for estimating remaining available energy of a power battery of claim 1 , wherein estimating, by the BMS, the maximum available energy of the first cell comprises:

estimating, by the BMS, the maximum available energy of the first cell through multiplying the maximum available capability of the first cell by a pre-calibrated capability-energy conversion coefficient K of the power battery; and

wherein estimating, by the BMS, the maximum available energy of the second cell comprises:

estimating, by the BMS, the maximum available energy of the second cell through multiplying the maximum available capability of the second cell by a pre-calibrated capability-energy conversion coefficient K of the power battery.

9. A device for estimating remaining available energy of a power battery, comprising:

a processor, and

a memory couple with the processor via an interface,

wherein the processor is configured to:

acquire state of charge (SOC) and a maximum available capability of each of cells in the power battery, wherein the cells in the power battery at least comprise a first cell and a second cell, wherein the first cell is a cell with minimum SOC among the cells in the power battery, wherein the second cell is a cell with minimum of maximum available capability among the cells in the power battery;

estimate maximum available energy of the first cell and maximum available energy of the second cell;

estimate remaining available energy of the first cell based on the maximum available energy of the first cell and the SOC of the first cell, and estimat remaining available energy of the second cell based on the maximum available energy of the second cell and the SOC of the second cell; and

obtain remaining available energy of the power battery based on number of the cells in the power battery and a smaller remaining available energy between the remaining available energy of the first cell and the remaining available energy of the second cell.

10. The device for estimating remaining available energy of a power battery of claim 9 , wherein the processor is further configured to:

acquire SOE of the first cell corresponding to the SOC of the first cell

estimate the remaining available energy of the first cell based on the maximum available energy of the first cell and the SOE of the first cell;

acquire SOE of the second cell corresponding to the SOC of the second cell;

estimate the remaining available energy of the second cell based on the maximum available energy of the second cell and the SOE of the second cell.

11. The device for estimating remaining available energy of a power battery of claim 10 , wherein the processor is further configured to:

acquire end of discharge SOE of the first cell and end of discharge SOE of the second cell;

estimate the remaining available energy of the first cell based on the maximum available energy of the first cell, the SOE of the first cell and the end of discharge SOE of the first cell; and

estimate the remaining available energy of the second cell based on the maximum available energy of the second cell, the SOE of the second cell and the end of discharge SOE of the second cell.

12. The device for estimating remaining available energy of a power battery of claim 11 , wherein the processor is further configured to:

acquire discharge correction factor of the first cell and discharge correction factor of the second cell;

estimate the remaining available energy of the first cell based on the maximum available energy of the first cell, the SOE of the first cell, the end of discharge SOE of the first cell and the discharge correction factor of the first cell; and

estimate the remaining available energy of the second cell based on the maximum available energy of the second cell, the SOE of the second cell, the end of discharge SOE of the second cell and the discharge correction factor of the second cell.

13. The device for estimating remaining available energy of a power battery of claim 11 , wherein the processor is further configured to:

estimate end of discharge OCV of the first cell based on discharge cut-off voltage of the first cell, predicted average discharge current of the first cell and direct current resistance at the end of discharge of the first cell;

acquire end of discharge SOC corresponding to the end of discharge OCV of the first cell;

acquire the end of discharge SOE corresponding to the end of discharge SOC of the first cell based on the pre-calibrated correspondence between the SOC and the SOE of the power battery; and

estimate end of discharge open circuit voltage (OCV) of the second cell based on discharge cut-off voltage of the second cell, predicted average discharge current of the second cell and direct current resistance at the end of discharge of the second cell;

acquire end of discharge SOC corresponding to the end of discharge OCV of the second cell;

acquire the end of discharge SOE corresponding to the end of discharge SOC of the second cell.

14. The device for estimating remaining available energy of a power battery of claim 12 , wherein the processor is further configured to:

acquire OCV corresponding to the SOC of the first cell;

estimate discharge correction factor of the first cell based on the end of discharge OCV of the first cell, the predicted average discharge current of the first cell, average charge current of the first cell, direct current resistance in the middle of discharge of the first cell, and the OCV corresponding to the SOC of the first cell, wherein the direct current resistance in the middle of discharge is the internal resistance of the first cell when the SOC is 50%; and

acquire OCV corresponding to the SOC of the second cell;

estimate discharge correction factor of the second cell based on the end of discharge OCV of the second cell, the predicted average discharge current of the second cell, average charge current of the second cell, direct current resistance in the middle of discharge of the second cell and the OCV corresponding to the SOC of the second cell, wherein the direct current resistance in the middle of discharge of the second cell is internal resistance when the SOC is 50%.

15. The device for estimating remaining available energy of a power battery of claim 13 , wherein the processor is further configured to:

acquire the predicted average discharge current of the first cell through dividing average discharge current for a pre-determined time period before a current moment by number of parallel branches included in the power battery; and

acquire the predicted average discharge current of the second cell through dividing the average discharge current for a pre-determined time period before the current moment by the number of parallel branches included in the power battery.

16. The device for estimating remaining available energy of a power battery of claim 9 , wherein the processor is further configured to:

estimate the maximum available energy of the first cell through multiplying its maximum available capability by a pre-calibrated capability-energy conversion coefficient K of the power battery; and

estimate the maximum available energy of the second cell through multiplying the maximum available capability of the second cell by a pre-calibrated capability-energy conversion coefficient K of the power battery.

17. The method for estimating remaining available energy of a power battery of claim 1 , further comprising:

acquiring, by the BMS, charging voltage of the power battery and charging current of the power battery;

wherein estimating, by the BMS, the maximum available energy of the first cell comprises:

estimating, by the BMS, the maximum available energy of the first cell based on the charging voltage of the power battery and the charging current of the power battery; and

wherein estimating, by the BMS, the maximum available energy of the second cell comprises:

estimating, by the BMS, the maximum available energy of the second cell based on the charging voltage of the power battery and the charging current of the power battery.

18. The device for estimating remaining available energy of a power battery of claim 9 , wherein the processor is further configured to:

acquire charging voltage of the power battery and charging current of the power battery;

estimate the maximum available energy of the first cell based on the charging voltage of the power battery and the charging current of the power battery; and

estimate the maximum available energy of the second cell based on the charging voltage of the power battery and the charging current of the power battery.