Objective: Designed and developed a controller for a hybrid electric vehicle to ensure optimal performance, energy efficiency, and seamless operation across multiple driving modes.
Scope: The project focused on integrating electric and internal combustion engine powertrains while ensuring proper torque and energy management.
Objective: Designed a multi-phase induction motor tailored for electric vehicle applications to enhance performance and reliability.
Scope: Conducted detailed studies on motor design, harmonic analysis, and efficiency optimization to meet automotive-grade requirements.
Objective: Built a condition monitoring system to track the health and performance of critical vehicle components using IoT technology.
Scope: Integrated sensors, IoT platforms, and data analytics to provide real-time diagnostics and predictive maintenance capabilities.
Objective: Developed a battery simulator for testing power electronic systems, capable of simulating various battery chemistries under dynamic conditions.
Scope: Designed equivalent circuit models for batteries and implemented real-time state-of-charge (SoC) calculation to ensure accurate simulation results.
Objective: Designed a high-efficiency LLC resonant converter for an e-bike charger to provide reliable and fast charging.
Scope: Focused on optimizing power electronics design and developing efficient control systems.
Objective: Simulated and designed a high-power dual active bridge (DAB) DC-DC converter for EV charging stations.
Scope: Focused on improving efficiency and enabling bidirectional power flow for EV chargers.
Objective: Designed a cost-effective non-isolated charger for EVs, catering to low-cost and high-efficiency requirements.
Scope: Focused on reducing size, cost, and complexity while maintaining high performance.
Objective: Designed and implemented an Object and Event Detection and Recognition (OEDR) module for autonomous vehicle systems.
Scope: Focused on utilizing computer vision and deep learning techniques to enable real-time detection and recognition of objects and events on the road.