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Current Research
Current Research
Electric Vehicle Systems
Battery modeling at a vehicular level: This involves simulating the electrical behavior of the battery using equivalent circuit models. Key parameters like internal resistance and capacitance will be crucial.
Simulations: Before real-world implementation, extensively simulate the battery model under various scenarios to validate its accuracy and reliability.
Real-world Testing: Gradually transition from controlled environments to real-world tests, ensuring that the model holds up under unpredictable conditions using the Chassis Dynamometer.
Model-Based State Estimation: Accurately estimate the state of various components within electric vehicles, such as the battery's charge level and health by combining the Kalman Filter technique.
This critical research underpins the safety and reliability of electric vehicles, ensuring they meet the high standards required for modern transportation.
Research Interests
Research Interests
Physics-based Battery Modeling
-This adds a layer of complexity, allowing for the simulation of thermal behavior, aging, and other physical phenomena affecting battery performance.
Model Predictive Control
-Delves advanced control algorithms designed to predict and optimize the performance of electric vehicles. This cutting-edge research is not just about responding to current conditions but also anticipating future scenarios, thereby enhancing the vehicle's efficiency and safety.
Battery Thermal Management
-It is crucial for ensuring the efficiency and longevity of electric vehicle batteries. This includes exploring innovative ways to regulate temperature and maintain optimal operating conditions for these power sources.
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