Electrochemical Cell Design Using Multiphysics Simulation
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Solution Overview
Problem
Conventional electrochemical cell design and manufacturing processes are inefficient and time-consuming, relying on trial and error to achieve performance targets, and lack a systematic approach to account for key manufacturing and performance parameters.
Innovation Solution
A method and system using finite element analysis and multiphysics numerical analysis to design and manufacture three-dimensional electrochemical cells, allowing for the simulation of mechanical, thermal, and kinetic properties, and the optimization of electrode geometry and material composition to meet specific performance criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If conventional trial and error methods are used for electrode design, then manufacturing flexibility is maintained, but development time and cost increase significantly
Solution Approach 1:
The patent applies preliminary action by performing computational simulations and multiphysics analysis before actual manufacturing. The design process uses finite element analysis, heat transfer modeling, and electrochemical simulations to predict performance outcomes beforehand, allowing optimization of electrode geometry, material composition, and cell configuration prior to physical prototyping, thereby significantly reducing development time and iterative trial-and-error cycles
Solution Approach 2:
The patent employs copying by creating virtual models and digital twins of electrochemical cells through computational simulations. These digital representations replicate the physical cell's behavior under various conditions, enabling researchers to test and optimize designs in silico before manufacturing physical prototypes, thus reducing the need for repeated physical trial-and-error experiments
2Manufacturing precision
If conventional manufacturing processes are used, then process simplicity is maintained, but manufacturing precision and performance optimization are limited
Solution Approach 1:
The patent applies parameter changes by systematically varying critical design parameters such as electrode thickness, porosity, particle size distribution, material composition ratios, and geometric configurations. Multiphysics simulations evaluate the impact of each parameter change on cell performance, enabling precise optimization of manufacturing parameters to achieve target performance metrics while guiding manufacturing process adjustments
Solution Approach 2:
The patent uses preliminary computational modeling to determine optimal manufacturing parameters before production. Finite element analysis and process simulations predict the outcomes of different manufacturing approaches, allowing the selection of manufacturing parameters that will achieve desired precision outcomes without requiring complex real-time adjustments during manufacturing
3Quantity of substance
If three-dimensional electrode designs are implemented, then energy density is improved, but manufacturing complexity increases
Solution Approach 1:
The patent applies dimensionality change by transitioning from conventional two-dimensional planar electrodes to three-dimensional electrode structures. This includes designing porous three-dimensional architectures, radially configured electrodes, and complex geometric shapes that increase the volume-to-surface area ratio, allowing significantly more active material to be packed into the same cell volume while maintaining effective ion and electron transport pathways
Solution Approach 2:
The patent employs local quality by creating heterogeneous three-dimensional electrode structures with spatially varying properties. Different regions of the electrode have optimized local characteristics such as varying porosity, pore size distribution, material composition, and conductivity to match local performance requirements, enabling high overall energy density while maintaining manufacturability through localized optimization rather than uniform complexity
4Measurement precision
If multiphysics numerical analysis is used, then performance prediction accuracy is improved, but computational requirements and analysis time increase
Solution Approach 1:
The patent applies segmentation by dividing the multiphysics analysis into distinct modular simulation components. Each module focuses on a specific physical phenomenon (electrochemical reactions, heat transfer, fluid flow, mechanical stress) and can be solved independently or in sequence. This modular approach allows selective refinement of critical regions and reduces the overall computational burden while maintaining accuracy where it matters most
Solution Approach 2:
The patent uses partial action by applying full multiphysics analysis only to critical regions or representative sample volumes rather than entire cell geometries. Coarse models provide initial insights, and refined detailed simulations are applied selectively to areas where high accuracy is most needed, balancing computational effort with prediction accuracy to reduce overall analysis time
Data Source
AI summary
A method for manufacturing an electrochemical cell. The method includes generating spatial information including an anode geometry, a cathode geometry, a separator geometry, and one or more current collector geometries. The method also includes storing the spatial information including the anode geometry, the cathode geometry, the separator geometry, and the one or more current collector geometries into a database structure. In a specific embodiment, the method includes selecting one or more material properties from a plurality of materials and using the one or more material properties with the spatial information in a simulation program. The method includes outputting one or more performance parameters from the simulation program.