EP-4738178-A1 - METHOD AND SYSTEM FOR OPTIMIZING PARAMETERS OF ELECTROCHEMICAL BATTERY MODEL

Abstract

The present disclosure relates to a method and system for optimizing parameters of an electrochemical model. The method of optimizing parameters of an electrochemical battery model according to the present disclosure is performed by the system for optimizing parameters of an electrochemical battery model. The method includes determining values of fixed parameters of the electrochemical model on the basis of cell design information of an evaluation target battery, determining an optimal combination of a capacitive parameter and a starting voltage parameter of the electrochemical model by applying a first charging pattern to the electrochemical model while fixing a resistance parameter of the electrochemical model to a preset value, and determining an optimal combination of resistance parameters of the electrochemical model by applying a second charging pattern applied to the electrochemical model while the capacitive parameter and the starting voltage parameter are set to the optimal combination.

Inventors

• CHO, SUNGMIN
• KWON, TAE-HO
• BAEK, Donkyu
• KIM, MINSU
• LEE, YUN JI

Assignees

• Samsung SDI Co., Ltd.
• Chungbuk National University Industry-Academy Cooperation Foundation

Dates

Publication Date

20260506

Application Date

20251022

Claims (15)

1. A method of optimizing parameters of an electrochemical battery model, the method comprising: determining, by a system for optimizing parameters of the electrochemical battery model, values of fixed parameters of the electrochemical model on the basis of cell design information of an evaluation target battery; determining, by the system, an optimal combination of a capacitive parameter and a starting voltage parameter of the electrochemical model through a first simulation in which a first charging pattern is applied to the electrochemical model while fixing a resistance parameter of the electrochemical model to a preset value; and determining, by the system, an optimal resistance parameter by changing the resistance parameter through a second simulation in which a second charging pattern is applied to the electrochemical model while the capacitive parameter and the starting voltage parameter are set to the optimal combination.
2. The method as claimed in claim 1, wherein a charging speed of the first charging pattern is lower than a charging speed of the second charging pattern.
3. The method as claimed in claim 1 or claim 2, wherein the first charging pattern is a low-speed charging pattern.
4. The method as claimed in any preceding claim, wherein the second charging pattern is a high-speed charging pattern.
5. The method as claimed in any preceding claim, wherein the capacitive parameter comprises a maximum allowable concentration of positive lithium ions and a maximum allowable concentration of negative lithium ions.
6. The method as claimed in any preceding claim, wherein the starting voltage parameter comprises a positive electrode starting voltage and a negative electrode starting voltage.
7. The method as claimed in any preceding claim, wherein the resistance parameter comprises a positive electrode reaction rate, a negative electrode reaction rate, and ion conductivity in an electrolyte.
8. The method as claimed in any preceding claim, wherein the determining of the optimal combination of the capacitive parameter and the starting voltage parameter comprises determining, by the system, the optimal combination of the capacitive parameter and the starting voltage parameter within a set allowable range of the capacitive parameter and the starting voltage parameter.
9. The method as claimed in any preceding claim, further comprising: checking, by the system, whether a plurality of optimal combinations are determined for the capacitive parameter, the starting voltage parameter, and the resistance parameter; and when the plurality of optimal combinations are determined for the capacitive parameter, the starting voltage parameter, and the resistance parameter, determining, by the system, a final parameter combination among the plurality of optimal combinations on the basis of a final resistance value included in a result of the second simulation and confirming the electrochemical model by substituting the final parameter combination into the electrochemical model.
10. The method as claimed in any preceding claim, further comprising predicting, by the system, charging time and occurrence of a side reaction of the evaluation target battery through a third simulation in which a third charging pattern is applied to a confirmed electrochemical model, the confirmed electrochemical model being determined by substituting an optimal combination of the capacitive parameter, the starting voltage parameter, and the resistance parameter into the electrochemical model.
11. A system for optimizing parameters of an electrochemical battery model, the system comprising: at least one processor configured to execute computer readable commands to: determine values of fixed parameters of the electrochemical model on the basis of cell design information of an evaluation target battery; determine an optimal combination of a capacitive parameter and a starting voltage parameter of the electrochemical model through a first simulation in which a first charging pattern is applied to the electrochemical model while fixing a resistance parameter of the electrochemical model to a preset value; and determine an optimal resistance parameter by changing the resistance parameter through a second simulation in which a second charging pattern is applied to the electrochemical model while the capacitive parameter and the starting voltage parameter are set to the optimal combination.
12. The system as claimed in claim 11, wherein a charging speed of the first charging pattern is lower than a charging speed of the second charging pattern.
13. The system as claimed in claim 11 or claim 12, wherein the first charging pattern is a low-speed charging pattern; and/or wherein the second charging pattern is a high-speed charging pattern.
14. The system as claimed in any one of claims 11 - 13, wherein the capacitive parameter comprises a maximum allowable concentration of positive lithium ions and a maximum allowable concentration of negative lithium ions.
15. The system as claimed in any one of claims 11 - 14, further comprising a memory configured to store the computer-readable commands.

Description

FIELD The present disclosure relates to a method and system for optimizing parameters of an electrochemical model among battery models. BACKGROUND Unlike primary batteries that cannot be charged, batteries or secondary batteries are batteries that can be charged and discharged. Low-capacity batteries may be used in portable small electronic devices such as smartphones, feature phones, laptop computers, digital cameras, and camcorders, whereas large-capacity batteries are widely used as power sources for driving motors in hybrid vehicles, electric vehicles, and the like as well as for power storage batteries. Such a battery includes an electrode assembly formed of a positive electrode and a negative electrode, a case for accommodating the electrode assembly, and electrode terminals connected to the electrode assembly. The herein information disclosed in this Background section is for enhancement of understanding of the background of the present disclosure, and therefore, it may contain information that does not constitute related art. [Related Art Document] [Patent Document] (Patent Document 1) Korean Laid-Open Patent Application No. 10-2020-0126897A (publication date: November 9, 2020)(Patent Document 2) Korean Laid-Open Patent Application No. 10-2013-0134982A (publication date: December 10, 2013) [Non-Patent Document] (Non-Patent Document 1) Thomas F. Fuller and Marc Doyle and John Newman, "Simulation and Optimization of the Dual Lithium Ion Insertion Cell," Journal of The Electrochemical Society, vol.141, no.1, pp.1-10, 1994. https://dx.doi.org/10.1149/1.2054684 SUMMARY The present disclosure is directed to providing a method and system for classifying parameters of an electrochemical battery model according to responsiveness to a charging rate, gradually determining the parameters of the electrochemical battery model according to a charging pattern (charging sequence), and determining one optimal combination according to a predetermined criterion when a plurality of optimal combinations of the parameters are derived. However, the technical problems to be solved by the present disclosure and problem-solving means are not limited to the herein-described contents, and other problems and problem-solving means not described can be clearly understood by those skilled in the technical field to which the present disclosure pertains from the following description of the present disclosure. According to aspects of the present disclosure, there is provided a method of optimizing parameters of an electrochemical battery model, which includes determining, by a system for optimizing parameters of the electrochemical battery model, values of fixed parameters of the electrochemical model on the basis of cell design information of an evaluation target battery; determining, by the system, an optimal combination of a capacitive parameter and a starting voltage parameter of the electrochemical model through a first simulation in which a first charging pattern is applied to the electrochemical model while fixing a resistance parameter of the electrochemical model to a preset value; and determining, by the system, an optimal combination of the resistance parameter by changing the resistance parameter through a second simulation in which a second charging pattern is applied to the electrochemical model while the capacitive parameter and the starting voltage parameter are set to the optimal combination. A charging speed of the first charging pattern may be lower than a charging speed of the second charging pattern. The first charging pattern may be a low-speed charging pattern, and the second charging pattern may be a high-speed charging pattern. The capacitive parameter may include a maximum allowable concentration of positive lithium ions and a maximum allowable concentration of negative lithium ions. The starting voltage parameter may include a positive electrode starting voltage and a negative electrode starting voltage. The resistance parameter may include a positive electrode reaction rate, a negative electrode reaction rate, and ion conductivity in an electrolyte. In embodiments of the present disclosure, the determining of the optimal combination of the capacitive parameter and the starting voltage parameter may include determining, by the system, the optimal combination of the capacitive parameter and the starting voltage parameter within a set allowable range of the capacitive parameter and the starting voltage parameter. In embodiments of the present disclosure, the method of optimizing parameters of an electrochemical battery model may further include checking, by the system, whether a plurality of optimal combinations are determined for the capacitive parameter, the starting voltage parameter, and the resistance parameter; and when the plurality of optimal combinations are determined for the capacitive parameter, the starting voltage parameter, and the resistance parameter, determining, by the system, a final param