Thesis

Ma, W. (2023). Feature-Prompting Protocols for Data-Driven Health Estimation and Lifetime Prediction of Lithium Metal Batteries [Stanford University]. https://stacks.stanford.edu/file/druid:zg095vn6290/master_thesis_Wenting_Ma_final.pdf

Moy, K. (2023). Towards decarbonized electric grid and transportation sectors : a modelling, battery-centric study [Stanford University]. https://searchworks.stanford.edu/view/in00000001655

Allam, A. (2021). Holistic battery management system design for lithium-ion battery systems via physics-based modeling, estimation, and control [Stanford University]. https://searchworks.stanford.edu/view/14053708

Arunachalam, H. (2017). A New Multiscale Modeling Framework for Lithium-Ion Battery Dynamics: Theory, Experiments, and Comparative Study with the Doyle-Fuller-Newman Model [Clemson University]. https://tigerprints.clemson.edu/all_dissertations/2082/

Xu, B. (2017). Plant Modeling, Model Reduction and Power Optimization for an Organic Rankine Cycle Waste Heat Recovery System in Heavy Duty Diesel Engine Applications [Clemson University]. https://tigerprints.clemson.edu/all_dissertations/2040/