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Doctoral student: Carlos Rupisan

The main goal is to develop models that accurately predict LIB battery degradation behavior in marine transportation operation.

I’m a doctoral candidate in the Department of Mechanical Engineering at Aalto University, co-supervised by Professors Kari Tammi and Tanja Kallio. I work with two research groups from Aalto University: the Mechatronics group in the School of Engineering and the Electrical Energy Conversion and Storage group in the School of Chemical Engineering. My studies are also co-supervised by Professor Ann Mari Svensson from the Norwegian University of Science and Technology (NTNU) as part of the Nordic 5 Tech doctoral program. I’m originally from the Philippines, where I accomplished my bachelor studies in Industrial Engineering, and I completed my master studies at Aalto University/Politecnico di Torino specializing in Energy Storage.


My doctoral research topic centers around the application of lithium-ion batteries (LIBs) in the marine transportation industry. The electrification of marine vessels aims to reduce the industry’s greenhouse gas emissions by replacing internal combustion engines with electric drives and energy storage technologies. LIBs are of the most popular energy storage options due to high specific energy density, relatively good cycle life, and low maintenance requirements. Among the different LIB cathode chemistries, Nickel-rich Nickel Manganese Cobalt oxide (Li-NMC) is state-of-the-art with high specific capacities, operating voltages and relatively more sustainable material requirements owing to reduced cobalt. However, the commercialization of Li-NMC in maritime applications is impeded by factors including poor structural stability, temperature-dependent degradation mechanisms, and thermal runaway risks.


My doctoral thesis will be focused on the study of LIB degradation phenomena in the maritime environment. The main goal is to develop models that accurately predict LIB battery degradation behavior in marine transportation operation. These models will be based on multiple approaches, from a less-computationally heavy equivalent circuit modelling model that is more appropriate for on-line battery health monitoring, a multiphysics-based approach that describes surface reactions and predict battery behavior more precisely based on electrochemical phenomenon, and a thermal model that predicts heat generation and informs the design of thermal management systems.  These models help to inform the battery management system (BMS) design configuration, proper use, and appropriate sizing of battery systems in maritime applications.
 

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