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Item type:Publication, Hamiltonian/Differential Flatness Control Law for Fuel Cell/Supercapacitor for DC Microgrid Applications(2025-01-01) ;Mungporn, Pongsiri ;Khomfoi, Surin ;Yodwong, Burin ;Bizon, NicuPierfederici, SergeThis paper presents a Hamiltonian/differential flatness control law designed for the management of fuel cell/supercapacitor hybrid systems in DC microgrid applications. The control strategy aims to optimize energy management while enhancing the efficiency and stability of DC microgrids. By leveraging the complementary characteristics of fuel cells (high energy density, slow dynamics) and supercapacitors (high power density, rapid response), it addresses specific limitations. The energy of the systems is governed by the Hamiltonian framework, while the differential flatness theory enables precise control of system dynamics, ensuring optimal operation and accurate trajectory tracking. To assess the performance of the control algorithm, an experimental test bench has been established. Experimental results confirm the effectiveness of the control law in managing a load-drive cycle under constant power load conditions, balancing power flow, reducing fuel cell stress, and extending the life of the supercapacitor. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hamiltonian-Differential Flatness Control Laws for Battery/Ultracapacitor for Hybrid Electric Vehicle Applications(2023-01-01) ;Mungporn, Pongsiri ;Khomfoi, Surin ;Inteeworn, Ridtee ;Gonmanee, ApinunPierfederici, SergeThis paper introduces the Hamiltonian-differential flatness control laws specifically designed for battery and ultracapacitor (UC) hybrid vehicle systems. The main goal of these control laws is to effectively manage power flow and optimize energy utilization in hybrid systems combining batteries and UC. The proposed control laws use Hamiltonian control and differential flatness techniques to dynamically regulate the energy distribution between the battery and UC, particularly in the context of constant power load (CPL) challenges within DC Microgrid applications, including vehicle systems. To confirm the efficiency of the proposed control strategy, the experimental test bench has been set up with a Li-ion battery module (LFeLi-48100TB, 48 Vdc, 100 Ah) and a UC module with a capacitance of (188.88 F, 51.3 V.) Finally, the experimental results confirm the exceptional performance of the studied control law throughout the load-drive cycles.
