IP Library Granted Patent US 11,307,261
Granted Patent B2
US 11,307,261 · App. 16/491,194 · Granted Apr 19, 2022

Rechargeable battery state estimation device

Inventors: Tomoki Takegami (Tokyo, JP); Toshihiro Wada (Tokyo, JP); Seigo Kadota (Tokyo, JP)
Assignee: MITSUBISHI ELECTRIC CORPORATION
G01R31/3828G01R31/367G01R31/3842H01M10/48
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,307,261
App. No.
16/491,194
Granted
Apr 19, 2022
Kind
B2
Abstract

In response to demands for stably and precisely estimating states, a rechargeable battery state estimation device includes a current detecting unit which detects a charge-discharge current of the rechargeable battery as a detected current; a voltage detecting unit which detects a voltage between terminals of the rechargeable battery as a detected voltage; an OCV estimation method SOC estimation unit which calculates an OCV estimation method state of charge, based on the detected current and the detected voltage; a current integration method parameter estimation unit which estimates a current integration method parameter including a capacity retention rate, based on the detected current and the OCV estimation method state of charge; and a corrected SOC estimation unit which calculates an estimated state of charge, based on the detected current, the OCV estimation method state of charge, and the current integration method parameter.

Claims (116)

1. A rechargeable battery state estimation device which estimates a state of charge of a rechargeable battery as an estimated state of charge, the rechargeable battery state estimation device comprising:

a current detector which detects a charge-discharge current of the rechargeable battery as a detected current,

a voltage detector which detects a voltage between terminals of the rechargeable battery as a detected voltage,

a low pass filter which outputs a value which is eliminated of high frequency components, and

a processor configured to:

calculate an open circuit voltage (OCV) estimation state of charge of the rechargeable battery, based on the detected current of the rechargeable battery and the detected voltage between the terminals of the rechargeable battery,

estimate a current integration parameter including a capacity retention rate, based on the detected current of the rechargeable battery and the OCV estimation state of charge of the rechargeable battery, and

calculate an estimated state of charge of the rechargeable battery by:

calculating a current integration state of charge of the rechargeable battery, based on the detected current of the rechargeable battery and the current integration parameter of the rechargeable battery,

wherein the estimated state of charge of the rechargeable battery is based, at least in part, on (a) the current integration state of charge of the rechargeable battery and (b) the value output from the low pass filter that receives an input comprising a difference value between the OCV estimation state of charge of the rechargeable battery and one of the current integration state of charge of the rechargeable battery or the estimated state of charge of the rechargeable battery.

2. The rechargeable battery state estimation device as set forth in claim 1 ,

wherein the processor is configured to calculate a change in the state of charge of the rechargeable battery, based on the detected current and the current integration parameter, and

wherein the processor is configured to correct an estimation error of the current integration parameter, and an estimation error for the current integration state of charge.

3. The rechargeable battery state estimation device as set forth in claim 2 ,

wherein the processor is configured to:

generate a first coefficient vector, based on the detected current,

obtain a second coefficient vector, based on the first coefficient vector,

obtain a reference signal, based on the OCV estimation state of charge, and

estimate the current integration parameter, based on the second coefficient vector and the reference signal.

4. The rechargeable battery state estimation device as set forth in claim 2 ,

wherein the processor is configured to:

compute the difference value by subtracting the current integration state of charge from the OCV estimation state of charge,

wherein the low pass filter receives as the input the difference value, and

wherein the estimated state of charge of the rechargeable battery is calculated by adding the current integration state of charge and the output value of the low pass filter.

5. The rechargeable battery state estimation device as set forth in claim 2 ,

wherein the processor is configured to:

compute the difference value by subtracting the estimated state of charge from the OCV estimation state of charge,

wherein the low pass filter receives as the input the difference value,

the rechargeable battery state estimation device further comprises a gain multiplication part which outputs a value which is computed by multiplying a positive real gain, based on the value which the low pass filter outputs; and

wherein the processor is configured to calculate the estimated state of charge, based on the detected current which the current detector outputs, the current integration parameter, and the value which the gain multiplication part outputs.

6. The rechargeable battery state estimation device as set forth in claim 2 ,

wherein the processor is configured to:

compute the difference value by subtracting the estimated state of charge from the OCV estimation state of charge, and

wherein the low pass filter receives as the input the difference value,

wherein the rechargeable battery state estimation device further comprises a gain multiplication part which outputs a value which is computed by multiplying a positive real gain, based on the value which the low pass filter outputs, and

wherein the estimated state of charge is calculated by adding the current integration state of charge and the value which the gain multiplication part outputs.

7. The rechargeable battery state estimation device as set forth in claim 2 ,

wherein the processor is configured to:

determine an estimated open circuit voltage from a corresponding relation between a state of charge of the rechargeable battery and an open circuit voltage, based on the estimated state of charge, and

estimate an OCV estimation parameter, based on the estimated open circuit voltage, the detected current and the detected voltage, and

wherein the calculation of the OCV estimation state of charge is based on the OCV estimation parameter, the detected current and the detected voltage.

8. The rechargeable battery state estimation device as set forth in claim 3 ,

wherein the processor is configured to:

compute the difference value by subtracting the current integration state of charge from the OCV estimation state of charge,

wherein the low pass filter receives as the input the difference value, and

wherein the estimated state of charge of the rechargeable battery is calculated by adding the current integration state of charge and an output value of the low pass filter.

9. The rechargeable battery state estimation device as set forth in claim 3 ,

wherein the processor is configured to:

compute the difference value by subtracting the estimated state of charge from the OCV estimation state of charge,

wherein the low pass filter receives as the input the difference value,

wherein the rechargeable battery state estimation device further comprises a gain multiplication part which outputs a value which is computed by multiplying a positive real gain, based on the value which the low pass filter outputs; and

wherein the processor is configured to calculate the estimated state of charge, based on the detected current which the current detector outputs, the current integration parameter, and the value which the gain multiplication part outputs.

10. The rechargeable battery state estimation device as set forth in claim 3 ,

wherein the processor is configured to:

compute the difference value by subtracting the estimated state of charge from the OCV estimation state of charge, and

wherein the low pass filter receives as the input the difference value,

wherein the rechargeable battery state estimation device further comprises a gain multiplication part which outputs a value which is computed by multiplying a positive real gain, based on the value which the low pass filter outputs, and

wherein the estimated state of charge is calculated by adding the current integration state of charge and the value which the gain multiplication part outputs.

11. The rechargeable battery state estimation device as set forth in claim 3 ,

wherein the processor is configured to:

determine an estimated open circuit voltage from a corresponding relation between a state of charge of the rechargeable battery and an open circuit voltage, based on the estimated state of charge, and

estimate an OCV estimation parameter, based on the estimated open circuit voltage, the detected current and the detected voltage, and

wherein the calculation of the OCV estimation state of charge is based on the OCV estimation parameter, the detected current and the detected voltage.

12. A rechargeable battery state estimation device which estimates a state of charge of a rechargeable battery as an estimated state of charge, the rechargeable battery state estimation device comprising:

a current detector which detects a charge-discharge current of the rechargeable battery as a detected current,

a voltage detector which detects a voltage between terminals of the rechargeable battery as a detected voltage, and

a processor configured to:

calculate an open circuit voltage (OCV) estimation state of charge of the rechargeable battery, based on the detected current of the rechargeable battery and the detected voltage between the terminals of the rechargeable battery,

estimate a current integration parameter including a capacity retention rate, based on the detected current of the rechargeable battery and the OCV estimation state of charge of the rechargeable battery,

calculate an estimated state of charge of the rechargeable battery by:

calculating a current integration state of charge of the rechargeable battery, based on the detected current of the rechargeable battery and the current integration parameter of the rechargeable battery,

calculate a change in the state of charge of the rechargeable battery, based on the detected current and the current integration parameter,

correct an estimation error of the current integration parameter, and an estimation error for the current integration state of charge,

generate a first coefficient vector, based on the detected current,

obtain a second coefficient vector, based on the first coefficient vector,

obtain a reference signal, based on the OCV estimation state of charge, and

estimate the current integration parameter, based on the second coefficient vector and the reference signal.

13. A rechargeable battery state estimation device which estimates a state of charge of a rechargeable battery as an estimated state of charge, the rechargeable battery state estimation device comprising:

a current detector which detects a charge-discharge current of the rechargeable battery as a detected current,

a voltage detector which detects a voltage between terminals of the rechargeable battery as a detected voltage,

a low pass filter which outputs a value which is eliminated of high frequency components, and

a processor configured to:

calculate an open circuit voltage (OCV) estimation state of charge of the rechargeable battery, based on the detected current of the rechargeable battery and the detected voltage between the terminals of the rechargeable battery,

estimate a current integration parameter including a capacity retention rate, based on the detected current of the rechargeable battery and the OCV estimation state of charge of the rechargeable battery,

calculate an estimated state of charge of the rechargeable battery by:

calculating a current integration state of charge of the rechargeable battery, based on the detected current of the rechargeable battery and the current integration parameter of the rechargeable battery,

calculate a change in the state of charge of the rechargeable battery, based on the detected current and the current integration parameter,

correct an estimation error of the current integration parameter, and an estimation error for the current integration state of charge, and

compute a difference value by subtracting the current integration state of charge from the OCV estimation state of charge,

wherein the low pass filter receives as the input the difference value, and

wherein the estimated state of charge of the rechargeable battery is calculated by adding the current integration state of charge and the output value of the low pass filter.

14. The rechargeable battery state estimation device as set forth in claim 12 ,

wherein the processor is configured to:

compute a difference value by subtracting the current integration state of charge from the OCV estimation state of charge, and

a low pass filter which outputs a value which is eliminated of high frequency components,

wherein the low pass filter receives as the input the difference value, and

wherein the estimated state of charge of the rechargeable battery is calculated by adding the current integration state of charge and an output value of the low pass filter.

15. The rechargeable battery state estimation device as set forth in claim 12 ,

wherein the processor is configured to:

compute a difference value by subtracting the estimated state of charge from the OCV estimation state of charge,

a low pass filter which outputs a value which is eliminated of high frequency components,

wherein the low pass filter receives as the input the difference value,

wherein the rechargeable battery state estimation device further comprises a gain multiplication part which outputs a value which is computed by multiplying a positive real gain, based on the value which the low pass filter outputs; and

wherein the processor is configured to calculate the estimated state of charge, based on the detected current which the current detector outputs, the current integration parameter, and the value which the gain multiplication part outputs.

16. The rechargeable battery state estimation device as set forth in claim 12 ,

wherein the processor is configured to:

compute a difference value by subtracting the estimated state of charge from the OCV estimation state of charge, and

a low pass filter which outputs a value which is eliminated of high frequency components,

wherein the low pass filter receives as the input the difference value,

wherein the rechargeable battery state estimation device further comprises a gain multiplication part which outputs a value which is computed by multiplying a positive real gain, based on the value which the low pass filter outputs, and

wherein the estimated state of charge is calculated by adding the current integration state of charge and the value which the gain multiplication part outputs.

17. The rechargeable battery state estimation device as set forth in claim 12 ,

wherein the processor is configured to:

determine an estimated open circuit voltage from a corresponding relation between a state of charge of the rechargeable battery and an open circuit voltage, based on the estimated state of charge, and

estimate an OCV estimation parameter, based on the estimated open circuit voltage, the detected current and the detected voltage, and

wherein the calculation of the OCV estimation state of charge is based on the OCV estimation parameter, the detected current and the detected voltage.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 5, 2019
From: TAKEGAMI, TOMOKI; WADA, TOSHIHIRO; KADOTA, SEIGO
To: MITSUBISHI ELECTRIC CORPORATION
Reel/Frame 050275/0952 →
Priority Claims (1)
JP JP2017-069940 · Mar 31, 2017 · national
Continuity (1)
Related Publication 20200033416A1 · Jan 30, 2020