Sai Thatipamula was awarded the Chevron Fellowship in Energy for his research to develop accurate data-driven state estimation through the use of carefully designed diagnostic tests and to create an identifiable aging and temperature dependent hybrid model for LFP cells that can be used for BMS applications. For the energy transition and the increasing use of renewables in microgrids, problems with energy intermittency are often solved with battery-based energy storage systems. Due to their inherent nature, however, LFP Lithium-Ion Battery systems suffer from poor observability and state-estimation, owing to difficulties with their controllability and efficient use, with the added burden of operational variability under different environmental conditions and aging mechanisms.
The Chevron Fellowship is part of the company’s University Partnership Program, which supports universities around the country by providing the necessary funding to better develop the future of the energy business. Fellowship awardees will be able to access Chevron stakeholders for industry perspective on their research topics.
The title of his project is "Enhancing Microgrid Dependability: Hybrid Energy Storage Models and Optimal Design."
