My current research focuses on the advanced control and optimization of electric and hybrid vehicles (xEVs), specifically in the areas of interactive motion planning, energy management, and control. The research utilizes advanced optimization and control techniques, such as MPC, to create adaptive and responsive motion planning strategies for xEVs and analyzes various factors affecting energy consumption, including driving dynamics and operational conditions, and develop strategies to manage energy resources effectively.
The overarching goal of my research is to advance the state-of-the-art in xEV technology by developing innovative solutions that enhance vehicle performance, safety, and energy efficiency.
S. Kumari, A. R. Kumutham, S. Mukhopadhyay, and A.R. Hota, “Development of a Scaled Setup for Experimental Study of the Effect of Lateral Dynamics on Energy Consumption in Electric Vehicles,” IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium (ITEC+ EATS), 2025. Link
S. Kumari, A.R. Hota and S. Mukhopadhyay, "Data-Driven Robust Optimization for Energy-Aware Safe Motion Planning of Electric Vehicles." IEEE Transactions on Intelligent Vehicles, 2025. Link
S. Kumari, S. Ghosh, A. R. Hota, and S. Mukhopadhyay, “Energy consumption of electric vehicles: Effect of lateral dynamics,” in 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), IEEE, 2023, pp. 1–5. Link