Ziyou Song

Ziyou Song is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He holds a PhD in Automotive Engineering from Tsinghua University (2016) and a BS from Tsinghua University (2011). Previously, he was an Assistant Professor at the National University of Singapore and worked as a battery algorithm engineer at Apple.

His research focuses on energy storage systems (batteries, supercapacitors, flywheels) for electrified vehicles and renewable energy. Key areas include battery management systems, physics-informed machine learning, state estimation, and grid integration of EVs. He leads a lab exploring interdisciplinary solutions to bridge automotive, transportation, and power systems.

• Research Interests: Battery modeling/optimization, renewable energy integration, control systems, and sustainable transportation.
• Recent Articles: Focus on battery health monitoring, EV charging optimization, mixed traffic control, and hybrid energy storage systems. Highlights include physics-data hybrid modeling, adaptive cruise control, and large-scale EV fleet management.

Honors include Springer Nature's Editorial Contribution Award (2025), IEEE VPPC Best Student Paper (2013), and Tsinghua's Special Prize Scholarship (2015). He serves as an Associate Editor for IEEE Transactions on Transportation Electrification and Applied Energy.

Teaching: Courses include Advanced Energy Storage (EECS 598) at U-M and Optimization Techniques for Dynamic Systems (ME5414) at NUS. Student evaluations consistently exceed 4.5/5.

Labs/Teams: Active in battery recycling simulation (ABatRe-Sim), eco-driving strategies, and grid-interactive EV systems. Supervises postdocs, PhD/Master students globally, and collaborates with industry partners.