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Nonequilibrium Electrochemical Phase Maps: Beyond Butler-Volmer Kinetics
Rachel C Kurchin1, Dhairya Gandhi2, Venkatasubramanian Viswanathan1
1Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, Pennsylvania 15213, United States.
This study introduces a software package for modeling nonequilibrium phase transformations in energy storage devices, crucial for understanding high-rate performance. The tool enables accurate simulations beyond equilibrium conditions, revealing significant variations in critical current based on kinetic models.
Area of Science:
- Electrochemistry
- Materials Science
- Computational Modeling
Background:
- Accurate electrochemical kinetic models are vital for high-rate energy storage devices.
- Electrode phase transformations are often simplified to equilibrium conditions, not reflecting real-world, finite-rate operation.
- Integrating nonlinear electrochemical kinetics with thermodynamics under nonequilibrium conditions is complex.
Purpose of the Study:
- To develop a computational tool for efficient numerical inversion of rate relationships for general electrochemical kinetic models.
- To enable the creation of nonequilibrium phase maps for electrode materials.
- To analyze the impact of various assumptions and parameters on high-rate phase behavior.
Main Methods:
- Development of a novel software package for numerical inversion of rate relationships.
- Integration of nonlinear electrochemical kinetic models with thermodynamic models.
- Application to general kinetic models, including Marcus-Hush-Chidsey, requiring integral computation.
Main Results:
- Demonstrated the capability to build nonequilibrium phase maps for electrode materials.
- Showcased the software's efficiency in handling complex kinetic models.
- Highlighted that critical current can differ by over a factor of 2 between kinetic models even with fixed parameters.
Conclusions:
- The developed software package facilitates accurate modeling of nonequilibrium phase transformations in energy storage systems.
- Understanding kinetic model influence is critical for predicting high-rate electrode behavior.
- This work provides a pathway for more realistic simulations of electrochemical devices.
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