Trivedi’s research focuses on next-gen solid-state batteries that offer greater energy density and faster charging, significantly improving the efficiency of electric two-wheelers. Additionally, he emphasizes the importance of affordable battery solutions to make EVs accessible to the masses.
A crucial aspect of his work is the role of AI in optimizing EV performance. By leveraging machine learning algorithms, Trivedi proposes a self-learning EV ecosystem where data analytics enhance battery efficiency, predict charging needs, and dynamically adjust charging station availability based on demand patterns.
His research serves as a blueprint for how India can integrate smart technology with sustainable solutions, driving the country toward a cleaner, more efficient electric future.