PhD and MS Theses

2025

Geslin, A., "Intrinsic and extrinsic variabilities in lithium-ion batteries degradation in real-world conditions," Materials Science & Engineering, Stanford University, 2025. pdf

2024

Ha, S., "Physics-Based Modeling and Parameter Identifiability Analysis of Lithium-Based Batteries," Stanford University, 2024. pdf

Balogun, E., "Computational methods for advancing a decarbonized, equitable, and resilient energy transition," Stanford University, 2024. pdf

Zhuang, J., "A Decision-Making Model for Retired Li-Ion Batteries," Stanford University, 2024. pdf

2023

Ma, W., "Feature-Prompting Protocols for Data-Driven Health Estimation and Lifetime Prediction of Lithium Metal Batteries," Stanford University, 2023. pdf

Moy, K., "Towards decarbonized electric grid and transportation sectors : a modelling, battery-centric study," Stanford University, 2023. pdf

2021

Allam, A., "Holistic battery management system design for lithium-ion battery systems via physics-based modeling, estimation, and control," Stanford University, 2021. pdf

2017

Arunachalam, H., "A New Multiscale Modeling Framework for Lithium-Ion Battery Dynamics: Theory, Experiments, and Comparative Study with the Doyle-Fuller-Newman Model," Clemson University, 2017. pdf

Xu, B., "Plant Modeling, Model Reduction and Power Optimization for an Organic Rankine Cycle Waste Heat Recovery System in Heavy Duty Diesel Engine Applications," Clemson University, 2017. pdf