IP Library Granted Patent US 11,228,193
Granted Patent B2
US 11,228,193 · App. 16/237,503 · Granted Jan 18, 2022

Serial SOC testing for improved fast-charge algorithm

Inventors: Brennan Campbell (Santa Clara, CA); Saeed Khaleghi Rahimian (San Jose, CA); Joseph Tolentino (Tracy, CA); Yifan Tang (Santa Clara, CA); Ying Liu (Santa Clara, CA)
Assignee: CHONGQING JINKANG POWERTRAIN NEW ENERGY CO., LTD.
H02J7/007H01M10/0525H01M10/4257H01M10/44H01M2010/4271H01M2010/4278H01M2220/20
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Quick Facts
Patent No.
US 11,228,193
App. No.
16/237,503
Granted
Jan 18, 2022
Kind
B2
Abstract

An automatically generated and customized fast charging process results in reduced degradation in the battery cell. An algorithm for a particular battery cell profile is automatically generated and customized to minimize degradation due to fast charging for that particular batch. To generate the custom algorithm, battery cell information is retrieved for a profile of a battery, wherein each battery profile may have a particular manufacturer, model, type, electrode batch, and potentially other specific identification information. Each battery cell is charged from a particular SOC level and at a selected C-rate, and then discharged. During discharge, the battery cell is monitored for detection of lithium plating or other undesirable effects. A lookup table is automatically generated from the battery cell information, and can be provided to devices and/or battery management systems. The BMS then uses the lookup table to apply a charging process that is customized to the on-board battery.

Claims (40)

1. A method for automatically applying a charging profile to a battery cell, comprising:

receiving a look-up table by a battery management system from a remote machine, the look-up table including optimal charge data generated automatically in response to data obtained from testing a plurality of lithium ion battery cells other than a lithium ion battery in communication with the battery management system, the optimal charge data including an optimal C-rate to charge a lithium ion battery for a specified state of charge;

detecting a current state of charge for the lithium ion battery in communication with the battery management system; and

charging the lithium ion battery in communication with the battery management system based on an optimal charge rate associated with the detected current state of charge;

wherein the plurality of lithium ion battery cells have the same manufacturer, model, and electrode batch, the optimal charge data derived in part by monitoring the plurality of lithium ion battery cells for detection of lithium plating during discharge, the lithium ion battery in communication with the battery management system having the same manufacturer, model, and electrode batch as the plurality of lithium ion battery cells;

wherein an updated look-up table is received by the battery management system at least two times during a lifecycle of the lithium ion battery in communication with the battery management system.

2. The method of claim 1 , further comprising:

monitoring the state of charge during charging of the lithium ion battery in communication with the battery management system;

detecting that a subsequent state of charge during charging of the lithium ion battery is associated with a different C-rate; and

charging the lithium ion battery in communication with the battery management system based on the optimal C-rate associated with the subsequent state of charge.

3. The method of claim 1 , wherein the optimal charge data includes optimal C-rate to charge a lithium ion battery for a specified state of charge at a particular temperature, the lithium ion battery in communication with the battery management system charged based on the optimal charge rate associated with the detected current state of charge and a current temperature.

4. The method of claim 1 , wherein the optimal C-rate is a maximum C-rate for a particular state of charge for the same manufacturer and model at which the lithium ion battery will not experience lithium plating.

5. The method of claim 1 , wherein the lithium ion battery in communication with the battery management system is used in an electric vehicle.

6. A non-transitory computer readable storage medium having embodied thereon a program, the program being executable by a processor to perform a method for automatically applying a charging profile to a battery cell, the method comprising

receiving a look-up table by a battery management system from a remote machine, the look-up table including optimal charge data generated automatically in response to data obtained from testing a plurality of lithium ion battery cells not in communication with the battery management system, the optimal charge data including an optimal C-rate to charge a lithium ion battery for a specified state of charge;

detecting a current state of charge fora lithium ion battery in communication with the battery management system; and

charging the lithium ion battery in communication with the battery management system based on an optimal charge rate associated with the detected current state of charge;

wherein the plurality of lithium ion battery cells have the same manufacturer, model, and electrode batch, the optimal charge data derived in part by monitoring the plurality of lithium ion battery cells for detection of lithium plating during discharge, the lithium ion battery in communication with the battery management system having the same manufacturer, model, and electrode batch as the plurality of lithium ion battery cells;

wherein an updated look-up table is received by the battery management system at least two times during a lifecycle of the lithium ion battery in communication with the battery management system.

7. The non-transitory computer readable storage medium of claim 6 , the method further comprising:

monitoring the state of charge during charging of the lithium ion battery in communication with the battery management system;

detecting that a subsequent state of charge during charging of the lithium ion battery is associated with a different C-rate; and

charging the lithium ion battery in communication with the battery management system based on the optimal C-rate associated with the subsequent state of charge.

8. The non-transitory computer readable storage medium of claim 6 , wherein the optimal charge data includes optimal C-rate to charge a lithium ion battery for a specified state of charge at a particular temperature, the lithium ion battery in communication with the battery management system charged based on the optimal charge rate associated with the detected current state of charge and a current temperature.

9. The non-transitory computer readable storage medium of claim 6 , wherein the optimal C-rate is a maximum C-rate for a particular state of charge for the same manufacturer and model at which the lithium ion battery will not experience lithium plating.

10. The non-transitory computer readable storage medium of claim 6 , wherein the lithium ion battery in communication with the battery management system is used in an electric vehicle.

11. A system for automatically applying a charging profile to a battery cell, comprising:

a battery management system comprising one or more processors, memory, and a table management component, a detecting component, and a charging component stored in the memory and executable by the one or more processors to:

receive, by the table management component, a look-up table by the battery management system from a remote machine, the look-up table including optimal charge data generated automatically in response to data obtained from testing a plurality of lithium ion battery cells not in communication with the battery management system, the optimal charge data including an optimal C-rate to charge a lithium ion battery for a specified state of charge;

detect, by the detecting component, a current state of charge fora lithium ion battery in communication with the battery management system; and

charge, by the charging component, the lithium ion battery in communication with the battery management system based on an optimal charge rate associated with the detected current state of charge;

wherein the plurality of lithium ion battery cells have the same manufacturer, model, and electrode batch, the optimal charge data derived in part by monitoring the plurality of lithium ion battery cells for detection of lithium plating during discharge, the lithium ion battery in communication with the battery management system having the same manufacturer, model, and electrode batch as the plurality of lithium ion battery cells;

wherein an updated look-up table is received by the battery management system at least two times during a lifecycle of the lithium ion battery in communication with the battery management system.

12. The system of claim 11 , the one or more processors further configured to execute code, stored in the memory, to perform a method comprising:

monitoring the state of charge during charging of the lithium ion battery in communication with the battery management system;

detecting that a subsequent state of charge during charging of the lithium ion battery is associated with a different C-rate; and

charging the lithium ion battery in communication with the battery management system based on the optimal C-rate associated with the subsequent state of charge.

13. The system of claim 11 , wherein the optimal charge data includes optimal C-rate to charge a lithium ion battery for a specified state of charge at a particular temperature, the lithium ion battery in communication with the battery management system charged based on the optimal charge rate associated with the detected current state of charge and a current temperature.

14. The system of claim 11 , wherein the optimal C-rate is a maximum C-rate for a particular state of charge for the same manufacturer and model at which the lithium ion battery will not experience lithium plating.

15. The system of claim 11 , wherein the lithium ion battery in communication with the battery management system is used in an electric vehicle.

Assignments (5)
CORRECTIVE ASSIGNMENT TO CORRECT THE RECEIVING PARTY STREET ADDRESS PREVIOUSLY RECORDED AT REEL: 057788 FRAME: 0977. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Oct 20, 2021
From: CHONGQING JINKANG NEW ENERGY VEHICLE CO., LTD.; SF MOTORS, INC.
To: CHONGQING JINKANG POWERTRAIN NEW ENERGY CO., LTD.
Reel/Frame 058184/0337 →
CORRECTIVE ASSIGNMENT TO CORRECT THE OMISSION SECOND ASSIGNOR'S NAME PREVIOUSLY RECORDED AT REEL: 057632 FRAME: 0809. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT . Recorded Oct 13, 2021
From: CHONGQING JINKANG NEW ENERGY VEHICLE CO., LTD.; SF MOTORS, INC.
To: CHONGQING JINKANG POWERTRAIN NEW ENERGY CO., LTD.
Reel/Frame 057788/0977 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 29, 2021
From: CHONGQING JINKANG NEW ENERGY VEHICLE CO., LTD.
To: CHONGQING JINKANG POWERTRAIN NEW ENERGY CO., LTD.
Reel/Frame 057632/0809 →
CORRECTIVE ASSIGNMENT TO CORRECT THE NAME OF THE ASSIGNEE PREVIOUSLY RECORDED ON REEL 048531 FRAME 0369. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT OFASSIGNOR'S INTEREST. Recorded Apr 27, 2019
From: CAMPBELL, BRENNAN; RAHIMIAN, SAEED; TOLENTINO, JOSEPH; TANG, YIFAN; LIU, YING
To: CHONGQING JINKANG NEW ENERGY VEHICLE CO. LTD; SF MOTORS, INC.
Reel/Frame 049015/0606 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 7, 2019
From: CAMPBELL, BRENNAN; RAHIMIAN, SAEED; TOLENTINO, JOSEPH; TANG, YIFAN; LIU, YING
To: CHONGQING JINKANG NEW ENERGY VEHICLE CO., LTD.; SF MOTORS
Reel/Frame 048531/0369 →
Continuity (1)
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