R&D Knowledge Sharing Session on ‘Mathematical modelling for effective prediction of Li-ion battery thermal behaviour’ & ‘Compressor stage performance of turbocharger’

The Department of Mechanical Engineering held its monthly Knowledge Sharing Session, under the R&D cell on  November 27, 2021 from 3.30 pm to 4.30 pm. The first session was taken by Prof. Amey Patil and the second by Prof. Pringle Alfanso on recent trends.

Prof. Amey Patil presented a technical talk titled ‘Mathematical modelling for effective prediction of Li-ion battery thermal behaviour’. Prof. Amey began with the historical development of electric vehicles and the components associated with it. He further added, “Batteries are the key components in EVs for development and the challenge there lies in maintaining battery pack temperature and avoiding thermal runaway”. He also shared some of his work in studying the thermal management system for batteries using analytical method to estimate temperature of Li-ion batteries. Prof. Amey explained the mathematical modelling towards finding solution to multidimensional, transient partial differential equation using the Green’s function approach and integral transform technique.

Prof. Pringle Alfanso presented a technical talk on ‘Compressor stage performance of turbocharger’. He began the presentation with an introduction to turbocharger and discussed his studies on the compressor performance investigated through CFD analysis. Explaining the significance of a compressor map, he compared CTT (Cummins Turbo Technologies) results with that of ANSYS for different models to obtain correlation with experimental tests. He made the final concluding remarks saying, “Over prediction of the performance curves for compressor is undesirable for such analysis” and also recommended an investigated model as best practice method for stage analysis.

The session was attended by teaching and technical support staff from the Department of Mechanical Engineering and coordinated by Prof. Harshad Pingulkar and Prof. Pringle Alfonso.