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    Item type:Publication,
    Enhanced adaptive Hamiltonian control strategy for battery-ultracapacitor hybrid systems in electric vehicle applications
    (2025-12-01)
    Mungporn, Pongsiri
    ;
    Khomfoi, Surin
    ;
    Namin, Anon
    ;
    Thongpron, Jutturit
    ;
    Yodwong, Burin
    This paper presents an enhanced Hamiltonian control law integrated with differential flatness theory, designed for hybrid vehicle systems utilizing batteries and ultracapacitors (UCs). Compared to conventional methods, the proposed approach improves transient stability, enables dynamic power sharing, and reduces battery stress under rapid load variations, making it particularly effective for commercial electric vehicle (EV) applications. These vehicles operate under dynamic load conditions such as frequent acceleration, breaking, and regenerative events, which demand high-performance power management. The primary objective of the proposed control law is to manage power flow and optimize energy utilization in such hybrid systems. By combining Hamiltonian control with differential flatness techniques, the strategy dynamically regulates energy distribution between the battery and the UC. This is particularly relevant in DC microgrid applications, including vehicle systems, where constant power load (CPL) challenges frequently arise. To evaluate the effectiveness of the proposed strategy, an experimental test bench was developed using a Li-ion battery module (LFeLi-48,100 TB, 48 V, 100 Ah) and a UC module (188.88 F, 51.3 V). Experimental results confirm the superior performance of the proposed control law throughout various load–drive cycles.
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    Item type:Publication,
    Modeling and Control of Multiphase Interleaved Fuel-Cell Boost Converter Based on Hamiltonian Control Theory for Transportation Applications
    (2020-06-01)
    Mungporn, Pongsiri
    ;
    Thounthong, Phatiphat
    ;
    Yodwong, Burin
    ;
    Ekkaravarodome, Chainarin
    ;
    Bilsalam, Anusak
    This article presents a multiphase interleaved boost converter supplied by a fuel-cell (FC)/reformer power source for highly dynamic transportation applications. A control theory based on the Hamiltonian function approach is considered. Using the port-controlled Hamiltonian system, we propose simple solutions to the dynamic performance and convergence problems when an interaction occurs between the power sources and constant power loads. To corroborate the proposed control law, an FC boost converter (2.5-kW two-phase interleaved converter) is used and investigated in the laboratory. The methanol FC system is composed of a fuel reformer reactor that transforms water and methanol liquid fuel into hydrogen gas to a polymer electrolyte membrane FC stack (2.5 kW, 50 V). The studied control approach is realized by digital calculation using a MicroLabBox controller board (dSPACE platform). The simulation using the MATLAB/Simulink program and the experimental results validate that our proposed solution is an excellent control algorithm for highly dynamic power-load cycles.