Inverse Determination of Electrochemical Material Properties
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Solution Overview
Problem
Conventional methods for designing electrochemical cells rely on trial and error to achieve performance targets, making it tedious and time-consuming to determine the unknown material properties necessary for optimal cell performance.
Innovation Solution
A method and system using an inverse solution process, specifically a surrogate-based analysis, to determine unknown material properties by reducing the difference between numerical simulation results and empirical results, incorporating a thin film process and computer-aided design with algorithms like Levenberg-Marquardt and Trust-Region methods to identify target performance characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trial and error methods are used to determine material properties and achieve performance targets, then the design process can be completed, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent performs preliminary computational simulations to predict cell performance and identify optimal material properties before actual manufacturing. By pre-calculating performance characteristics using mathematical models and inverse determination methods, the system eliminates the need for repeated trial-and-error physical testing, significantly reducing design time while ensuring performance targets are met.
Solution Approach 2:
The patent replaces physical trial-and-error testing with computational simulation and mathematical analysis. Instead of manually testing different material combinations in the lab, the system uses computer-based inverse determination methods to calculate optimal material properties directly from desired performance characteristics, substituting mechanical experimentation with digital computation.
2Measurement precision
If conventional testing methods are used to determine cell performance, then empirical data can be obtained, but the unknown material properties cannot be identified
Solution Approach 1:
The patent implements a feedback loop where computational simulation results are continuously compared with empirical test data. The inverse determination method uses performance measurements as feedback to iteratively adjust and refine the estimated material properties until the simulation matches experimental results, thereby simultaneously achieving precise performance measurement and accurate material property identification.
Solution Approach 2:
The patent creates a unified computational framework that serves multiple functions: it predicts cell performance, identifies unknown material properties, optimizes design parameters, and validates experimental results. This multi-functional system eliminates the need for separate testing procedures for each objective, integrating performance measurement and material property determination into a single comprehensive approach.
Data Source
AI summary
A method of determining at least one material property of at least one component of an electrochemical system (fully or partially completed) using a process to reduce a difference of a performance characteristic between a numerical simulation result of a physical model and an empirical result. The method includes providing an electrochemical cell using a thin film process and performing a plurality of tests on the electrochemical cell to identify one or more target performance characteristics of the electrochemical cell. The method includes performing a surrogate based analysis process and determining a plurality of outputs of the surrogate based analysis function and determines a value of the unknown material property.