Mathematical Modeling of Li ion battery degradation and optimization of cycle life
Project description
This project focuses on developing mathematical models to study the degradation behaviour of lithium-ion (Li-ion) batteries and optimizing their cycle life for various applications. Li-ion batteries are critical in energy storage systems, electric vehicles (EVs), and portable electronics, but their performance deteriorates over time due to complex electrochemical, thermal, and mechanical processes. By simulating key aging mechanisms and applying optimization techniques, the project aims to extend battery lifespan and improve performance. The outcomes will support better battery management strategies for electric vehicles, energy storage, and portable electronics.
Industry Partner
The project will be conducted in collaborations with the industry partner Rio-Tinto. The project will require regular collaborative work with various teams at Rio Tinto Iron Ore, including the Rail Engineering & Strategy, Renewable Energy and Research and Development teams.
Doctoral Candidate
Ms Taniya Sandhu
Supervisors
Main supervisor:
- Dr. Parama Chakraborty Banerjee, Department of Chemical and Biological Engineering, Faculty of Engineering
Co-supervisor:
- Associate Prof. Roger Dargaville, Monash Energy Institute and Department of Civil Engineering, Faculty of Engineering
Industry supervisor:
- Dr. David Rollinson, Rio Tinto, Energy Storage and Operational Readiness
Faculties Involved
Engineering
Contact Details & Additional Information
- S2ARail GRIP. Email: S2ARail-GRIP@monash.edu