Our Projects
We conduct system, software, and hardware-oriented R&D projects; advancing technology development through government-funded and TÜBİTAK-supported initiatives.
MED TECH MOBILITY SOLUTIONS – TÜBİTAK 1812 – BiGG
MED TECH MOBILITY SOLUTIONS Engineering, Technology and Industry Inc. was established under the TÜBİTAK 1812 – Individual Young Entrepreneur (BiGG) Program with TÜBİTAK partnership and support.
Design of a Deep Reinforcement Learning-Based Battery Management System (DERINBYS)
This TÜBİTAK 1001 project aims to develop an innovative Battery Management System (BMS) based on Deep Reinforcement Learning capable of learning the dynamic behavior of electric vehicle batteries under varying operating conditions. The project targets extending battery lifetime and improving system reliability through SoC/SoH estimation, adaptive balancing, and multi-objective optimization integration.
Energy Management in Connected Driving
This TÜBİTAK 3501 project focuses on developing predictive and adaptive energy management strategies for hybrid and electric vehicles using V2X data in connected traffic scenarios. Fuel/energy consumption and driving safety are co-optimized through simulation-based validation and real-time testing approaches.