SEMINAR: Industrial Perspectives in Mechatronic Systems: Design, Control, and Validation of EV Battery Systems
Guest : Dr. Vahid Barış Tavakol
Title : Industrial Perspectives in Mechatronic Systems: Design, Control, and Validation of EV Battery Systems
Date / Time : 3, June, Wednesday 13:40
Location : FENS 2019 (Hybrid)
Zoom Meeting: https://sabanciuniv.zoom.us/
Abstract:This talk presents an industry-oriented perspective on mechatronic systems engineering, drawing from hands-on experience in the development of battery management systems (BMS) for electric vehicles (EV). Rather than focusing on theoretical frameworks, the presentation illustrates how the mechanical, electronic, and software engineering disciplines converge in real-world EV applications.
The talk covers interconnected areas of industrial practice: systematic requirement engineering, model-based control software development, and testing and validation, all carried out within a professional automotive engineering environment at AVL Türkiye. Insights from European Union Horizon projects will further contextualize how cutting-edge research translates into engineering deliverables at an international scale.
The presentation also reflects on how exposure to real engineering workflows can enrich undergraduate and graduate education in mechatronics engineering, offering a concrete, experience-based perspective on bridging academic training and industrial competency.
Bio:Vahit Barış Tavakol holds a PhD in Mechatronics Engineering from Sabancı University. He has five years of university teaching experience across multiple institutions in mechatronics and electrical-electronics engineering programs and currently serves as a faculty member in the Mechatronics Engineering Department at Kadir Has University.
Concurrently, he serves as Senior Battery Systems and Control Engineer at AVL Türkiye, where he focuses on model-based battery control software development. He has contributed to two EU-funded Horizon projects — COBRA (Cobalt-free Batteries for Future Automotive Applications) and NextBMS (Advanced Physics and Data-based BMS for Optimal Battery Utilization).
His technical interests lie at the intersection of model-based design and intelligent data-driven methods, with a particular focus on state estimation and fault detection algorithms for advanced battery management systems.