Max Robotics — Global Service Robot Directory + US Certification

About

Jason B. Siegel is a researcher specializing in the energy management and powertrain control of hybrid fuel cell and battery systems, with a particular focus on mobile robot applications. His work addresses the critical challenge of extending mission endurance for ground robots—especially in military and surveillance contexts—by optimizing the integration of solid oxide fuel cells (SOFCs) and proton exchange membrane (PEM) fuel cells with lithium-ion batteries. Siegel’s major contributions include developing control strategies for power-quantized SOFC hybrid powertrains, where he tackled part-load operation and startup/shutdown scheduling, and analyzing cooling parasitic loads for hydrogen fuel cells in armored military vehicles. He also advanced energy-efficient speed profile optimization for electrified vehicles using Pontryagin’s Maximum Principle, and explored the role of regenerative braking over varying road grades. His most-cited papers (e.g., on hybrid power management for mobile robots and power quantization) have garnered up to 6 citations each, reflecting his focused impact in the niche of robotic energy systems. Siegel’s work is notable for bridging theoretical control optimization with practical constraints like heat rejection and mission planning, making his research directly relevant to engineers developing next-generation autonomous platforms.