Battery Management System

Hossein Dehnavifard implemented a strategy for charging batteries from the lowest state-of-charge (SOC) strings while charging and using the highest SOC strings during discharging. This approach helped to optimize the energy efficiency of the system by ensuring that the most charged strings are utilized when discharging, thus minimizing the load on the lower SOC strings and enhancing the overall lifespan of the battery pack.

As the lead designer for the Battery Management System (BMS) for a battery-electric locomotive, Hossein was responsible for ensuring the safe and efficient operation of a complex energy storage system. His work involved designing a BMS capable of managing a battery pack with five strings of 40 battery modules and a DC link voltage of 1250V. Using Kalman filters and coulomb counting, Hossein implemented state-of-charge (SOC) estimation algorithms to accurately monitor battery performance under dynamic conditions.

Additionally, he developed C++ control logic to optimize charging and discharging cycles, while maintaining the system's health. The validation phase involved extensive testing to evaluate the BMS under extreme conditions, including temperature variations and fault scenarios. Hossein also simulated battery pack behavior in Simulink and integrated control algorithms to ensure optimal performance and safety. His contributions were key to the success of the battery-electric locomotive, significantly enhancing its performance, reliability, and operational efficiency