Electric Vehicles (EV) are on their way to improvise the modern-day transport system. They are highly researched among the scientific community and can contribute massively to a country´s growth and development. Their green operation is something that is highly appreciated as they do not release any harmful emissions. The key power delivering part is the battery pack which contains Lithium-ion battery. These batteries are rechargeable but release lot of heat during charging and discharging cycles. Thus, a thermal management system is what keeps the battery pack within the optimum temperature range. The temperature also affects the degradation mechanisms and this is what then decides how long the batteries will last. This project aims at aging prediction against different cooling strategies and temperature ranges. This project will thus involve deep thermal and electrochemical simulations for cell, module, and pack level simulations. The simulations will be based on finite volume method and finite element method. The work is expected to contribute towards the safety, performance, and efficiency of the battery pack. In order to simulate large-scale multiphysics issues using COMSOL, this proposal aims to request high-performance computing (HPC) resources. Coupled partial differential equations (PDEs) with millions of degrees of freedom (DOFs) will need to be solved during the simulations, which will demand a significant amount of CPU power, memory, and storage.