KR-20260067518-A - METHOD AND SYSTEM FOR OPTIMIZING PARAMETERS OF ELECTROCHEMICAL BATTERY MODEL

KR20260067518AKR 20260067518 AKR20260067518 AKR 20260067518AKR-20260067518-A

Abstract

The present invention relates to a method and system for optimizing parameters of a battery electrochemical model. The battery electrochemical model parameter optimization method according to the present invention is performed by a battery electrochemical model parameter optimization system. The method comprises the steps of determining the value of a fixed parameter of the electrochemical model, determining the optimal combination of a capacitive parameter and a starting voltage parameter of the electrochemical model by applying a first charging pattern, and determining the optimal combination of a resistive parameter of the electrochemical model by applying a second charging pattern.

Inventors

조성민
권태호
백돈규
김민수
이윤지

Assignees

삼성에스디아이 주식회사
충북대학교 산학협력단

Dates

Publication Date: 20260513
Application Date: 20241105

Claims (20)

A battery electrochemical model parameter optimization system determines the value of a fixed parameter of the electrochemical model based on cell design information of the battery to be evaluated; The above system determines the optimal combination of the capacitive parameter and the starting voltage parameter of the electrochemical model while fixing the resistive parameter of the electrochemical model to a preset value through a first simulation in which a first charging pattern is applied to the electrochemical model; and The above system determines the optimal combination of the resistive parameter by changing the resistive parameter through a second simulation in which the second charging pattern is applied to the electrochemical model, while the capacitive parameter and the starting voltage parameter are set to an optimal combination. A battery electrochemical model parameter optimization method including
In paragraph 1, A battery electrochemical model parameter optimization method characterized in that the first charging pattern has a lower charging speed compared to the second charging pattern.
In paragraph 1, The above first charging pattern is a low-speed charging pattern. Method for optimizing battery electrochemical model parameters.
In paragraph 1, The above second charging pattern is a high-speed charging pattern. Method for optimizing battery electrochemical model parameters.
In paragraph 1, the above capacitive parameter is, Including the maximum allowable concentration of positive lithium ions and the maximum allowable concentration of negative lithium ions Method for optimizing battery electrochemical model parameters.
In paragraph 1, the starting voltage parameter is, Includes positive starting voltage and negative starting voltage Method for optimizing battery electrochemical model parameters.
In paragraph 1, the resistance parameter is, Includes anode reaction rate, cathode reaction rate, and ionic conductivity in the electrolyte Method for optimizing battery electrochemical model parameters.
In claim 1, the step of determining the optimal combination of the capacitive parameter and the starting voltage parameter is: The above system determines 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. Method for optimizing battery electrochemical model parameters.
In paragraph 1, The above system has a step of determining whether a plurality of optimal combinations have been determined for the capacitive parameter, the starting voltage parameter, and the resistive parameter; and A battery electrochemical model parameter optimization method comprising the step of, when a plurality of optimal combinations are determined for the capacitive parameter, the starting voltage parameter, and the resistive parameter, determining a final parameter combination among the plurality of optimal combinations based on the final resistance value included in the result of the second simulation, and substituting the final parameter combination into the electrochemical model to finalize the electrochemical model.
In Paragraph 9, A battery electrochemical model parameter optimization method comprising the step of the above system predicting the charging time and whether side reactions occur of the battery under evaluation through a third simulation in which a third charging pattern is applied to the above-determined electrochemical model.
Memory for storing computer-readable instructions; and It includes at least one processor implemented to execute the above commands, and The above at least one processor, by executing the above instructions, Based on the cell design information of the battery under evaluation, the values of the fixed parameters of the electrochemical model are determined, and Through a first simulation in which a first charging pattern is applied to the electrochemical model, the optimal combination of the capacitive parameter and the starting voltage parameter of the electrochemical model is determined while the resistive parameter of the electrochemical model is fixed to a preset value. A configuration in which, through a second simulation in which a second charging pattern is applied to the electrochemical model, the capacitive parameter and the starting voltage parameter are set to an optimal combination, and the resistive parameter is changed to determine the optimal combination of the resistive parameter. Battery Electrochemical Model Parameter Optimization System.
In Paragraph 11, A battery electrochemical model parameter optimization system characterized in that the first charging pattern has a lower charging speed compared to the second charging pattern.
In Paragraph 11, The above first charging pattern is a low-speed charging pattern. Battery Electrochemical Model Parameter Optimization System.
In Paragraph 11, The above second charging pattern is a high-speed charging pattern. Battery Electrochemical Model Parameter Optimization System.
In Clause 11, the above capacitive parameter is, Including the maximum allowable concentration of positive lithium ions and the maximum allowable concentration of negative lithium ions Battery Electrochemical Model Parameter Optimization System.
In Clause 11, the above starting voltage parameter is, Includes positive starting voltage and negative starting voltage Battery Electrochemical Model Parameter Optimization System.
In Clause 11, the above resistance parameter is, Includes anode reaction rate, cathode reaction rate, and ionic conductivity in the electrolyte Battery Electrochemical Model Parameter Optimization System.
In paragraph 11, the above at least one processor is, In the process of determining the optimal combination of the above capacitive parameter and the above starting voltage parameter, A configuration for determining the optimal combination of the capacitive parameter and the starting voltage parameter within a set range of the capacitive parameter and the starting voltage parameter. Battery Electrochemical Model Parameter Optimization System.
In paragraph 11, the above at least one processor is, Check whether multiple optimal combinations have been determined for the above capacitive parameter, the above starting voltage parameter, and the above resistive parameter, and When multiple optimal combinations are determined for the above capacitive parameter, the above starting voltage parameter, and the above resistive parameter, a final parameter combination is determined among the multiple optimal combinations based on the final resistance value included in the result of the second simulation, and the final parameter combination is substituted into the electrochemical model to finalize the electrochemical model. Battery Electrochemical Model Parameter Optimization System.
In paragraph 19, the above-mentioned at least one processor is, It is configured to predict the charging time and whether side reactions occur of the battery under evaluation through a third simulation in which the third charging pattern is applied to the confirmed electrochemical model. Battery Electrochemical Model Parameter Optimization System.

Description

Method and System for Optimizing Parameters of an Electrochemical Battery Model The present invention relates to a method and system for optimizing parameters of an electrochemical model among battery models. Unlike primary batteries, which cannot be recharged, batteries or secondary batteries are capable of charging and discharging. Low-capacity batteries are used in small portable electronic devices such as smartphones, feature phones, laptop computers, digital cameras, and camcorders, while high-capacity batteries are widely used as power sources for motor drive systems and energy storage batteries for hybrid and electric vehicles. Such batteries include an electrode assembly consisting of a positive electrode and a negative electrode, a case housing the assembly, and electrode terminals connected to the electrode assembly. Electrochemical models may be utilized to evaluate the performance of lithium-ion battery cells or to derive the optimal charging pattern to be applied to said battery cells. Electrochemical models are models that simulate processes such as the entry or exit of lithium into or out of the active electrode material, diffusion in the solid matrix, and transport in the electrolyte. Among widely used electrochemical models is the Newman model (Non-Patent Literature 1). However, when developing an electrochemical model applicable to specific electrode materials or temperature conditions, it is necessary to optimize the model's parameters based on experimental data or theoretical values. To optimize these parameters, a cost function must be defined, and the parameter values required to minimize it must be determined. However, since there may be multiple parameter combinations that meet the defined cost function conditions, selecting the appropriate combination can be difficult. Furthermore, the lack of reproducibility or consistency in the developed electrochemical model can lead to prolonged development periods. The information described above disclosed in the background technology of this invention is intended only to enhance understanding of the background of the present invention and may therefore include information that does not constitute prior art. FIG. 1 is a block diagram showing the configuration of an electrochemical model parameter optimization system according to one embodiment of the present invention. FIG. 2 is a flowchart illustrating a method for optimizing electrochemical model parameters according to an embodiment of the present invention. Figure 3 is a diagram regarding the allowable range of parameters of an electrochemical model. Figure 4 is a diagram illustrating the factors constituting the cost function. Figure 5 is a diagram illustrating the method of calculating a cost function. Figure 6 is a diagram illustrating the process of fitting simulation data to actual data according to the optimization of electrochemical model parameters. Preferred embodiments of the present invention will be described in detail below with reference to the attached drawings. Prior to this, terms and words used in this specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings. Instead, based on the principle that the inventor can appropriately define the concepts of terms to best describe their invention, they should be interpreted in a meaning and concept consistent with the technical spirit of the present invention. Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are merely some of the most preferred embodiments of the present invention and do not represent all of the technical spirit of the present invention. It should be understood that various equivalents and modifications capable of replacing them may exist at the time of filing this application. Additionally, as used herein, “comprise, include” and/or “comprising, including” specify the presence of the mentioned features, numbers, steps, actions, parts, elements, and/or groups thereof, and do not exclude the presence or addition of one or more other features, numbers, actions, parts, elements, and/or groups thereof. Additionally, to aid in understanding the invention, the attached drawings are not drawn to the actual scale, and the dimensions of some components may be exaggerated. Furthermore, the same reference numerals may be assigned to identical components in different embodiments. The statement that two subjects of comparison are "identical" means that they are "substantially identical." Therefore, substantial identity may include deviations considered low in the industry, for example, deviations within 5%. Additionally, the statement that a parameter is uniform in a given area may mean that it is uniform from an average perspective. Although terms such as 'first,' 'second,' etc., are used to describe various components, it goes without saying that these components are not limited by these terms. These terms are use