About the project:

Simulating the performance of batteries is crucial for designing battery packs, optimizing battery performance, and predicting the lifetime of batteries. To be effective, such simulations have to be both accurate and computationally efficient, i.e., the predictions should not take several hours of computing time but rather should be available in minutes or even seconds. A promising strategy is to use reduced-order models that are derived by making systematic simplifications to detailed models of batteries that account for electrochemical reactions and transport of heat and mass. This project will develop techniques for simplifying the reaction-diffusion equations in order to obtain effective reduced models; we will use both equation-based and data-driven approaches. A strong foundation in the mathematics of nonlinear algebraic equations and ODEs, and prior exposure to scientific computing will be of great help in executing this project.