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Author: search.filters.author.Bizon, Nicu

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    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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    Hamiltonian-Based Approach to Enhance the Stability of Hybrid Fuel Cell and Supercapacitor Sources
    (2025-01-01)
    Mungporn, Pongsiri
    ;
    Kamnarn, Uthen
    ;
    Yodwong, Burin
    ;
    Khomfoi, Surin
    ;
    Pierfederici, Serge
    This article aims to study an improved large-signal stability for fuel cell (FC) and supercapacitor (SC) hybrid sources, employing the enhanced Hamiltonian control law. This novel approach addresses the inherent challenges in the dynamic operation of such hybrid systems, characterized by rapid load changes [i.e., constant power load (CPL)] and energy fluctuations. Grounded in energy-based control theory, the Hamiltonian control law accurately manages the energy exchange between the FC, SC, and external load aiming to improve system stability and response efficiency. A comprehensive test bench setup, including a real FC, an SC bank, and programmable loads to simulate the electrical load (i.e., CPL, constant resistive load, and constant current load), was developed to evaluate performance under various operational conditions. The results demonstrate that Hamiltonian-based control significantly enhances the system’s damping properties, ensuring a smoother response to load variations and enhanced stability across different scenarios.
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    Hamiltonian/Differential Flatness Control Law for Fuel Cell/Supercapacitor for DC Microgrid Applications
    (2025-01-01)
    Mungporn, Pongsiri
    ;
    Khomfoi, Surin
    ;
    Yodwong, Burin
    ;
    Bizon, Nicu
    ;
    Pierfederici, Serge
    This 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.
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    Hamiltonian-Energy Control Law for Fuel Cell/Supercapacitor Hybrid Source to Solve Stability Issues in DC Distributed System
    (2023-01-01)
    Mungporn, Pongsiri
    ;
    Khomfoi, Surin
    ;
    Pierfederici, Serge
    ;
    Nahid-Mobarakeh, Babak
    ;
    Bizon, Nicu
    The new control law of a supercapacitor (SC) based storage device combining a proton exchange membrane fuel cell (PEMFC) as a hybrid power plant is presented in this paper. To realize this goal, a Hamiltonian control law (or an interconnection and damping assignment passivity-based control IDA-PBC) is proposed. The paper deals with the new control algorithm to stabilize FC/SC hybrid system under constant power load stability issue in dc distributed network. To validate the proposed control approach, a hardware system is implemented with a high-performance microcontroller (CPU 64 bits, dual-core, 2 GHz). Also, the dc microgrid used in experimental test rig consists of a PEMFC of 2500 W, 50 V and a supercapacitor module of 188.88F 51.3V. The Experimental results show that the proposed controller has excellent control performance during a load-drive cycle under constant power load condition.
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    Hamiltonian-Differential Flatness Control Laws for Battery/Ultracapacitor for Hybrid Electric Vehicle Applications
    (2023-01-01)
    Mungporn, Pongsiri
    ;
    Khomfoi, Surin
    ;
    Inteeworn, Ridtee
    ;
    Gonmanee, Apinun
    ;
    Pierfederici, Serge
    This 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.
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    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.