Phophongviwat, Teeraphon
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Phophongviwat, Teeraphon
Alternative Name
Phophongviwat, T.
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Email
teeraphon.ph@kmitl.ac.th
20 results
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Item type:Publication, Localized Surface Vibration and Acoustic Noise Emitted from Laboratory-Scale Transformer Cores Assembled from Grain-Oriented Electrical Steel(2016-10-01) ;Moses, Anthony John ;Anderson, Philip I.Magnetostriction of grain-oriented 3% SiFe sheets was measured prior to assembly into model transformer cores. Core vibration was measured using a laser scanning vibrometer and harmonic spectra of acoustic noise were evaluated from the microphone outputs. Explanations show why no correlation exists between vibration harmonics profiles and A-weighted acoustic noise spectra. High localized vibration did not cause high noise due to phase differences in surface vibrations, and it is shown that this is the main reason why the A-weighted noise of a three-phase core can be less than that of an equivalent single-phase core. Noise from cores assembled from low magnetostriction materials was not always lowest because of the variable effect of electromagnetic forces. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Enhancing Grid Stability Using a Virtual Inertia-Integrated Railway Power Conditioner in Railway Power Supplies With High Renewable Energy Penetration(2024-01-01); ;Boonlert, ThunwaHongesombut, KomsanAs electric power systems increasingly integrate Renewable Energy Sources (RESs), the consequent reduction in system inertia has heightened their sensitivity to disturbances, such as sudden load changes. This issue is especially relevant in railway power supply systems, which are evolving to be dominated by RESs. Traditional solutions, including Railway Power Conditioners (RPCs), primarily address unbalanced loads and reactive power compensation but offer limited frequency support. This paper introduces a Virtual Inertia-Integrated Railway Power Conditioner (VIIRPC), a novel solution that enhances traditional RPCs with Energy Storage Systems (ESS) to provide critical virtual inertia support, thereby addressing the critical gap in frequency stability amidst the evolving energy landscape of railway systems. Utilizing a current source-based model, the VIIRPC effectively extends inertia support from two-phase systems to balanced three-phase systems at the Point of Common Coupling (PCC). This achievement is realized by dividing a virtual inertia signal and integrating it into both sides of the RPC control loop, while respecting each side's signal orientation. Simulations have been conducted to verify the operation under different loading conditions, including a 4-minute headway train schedule, under both conventional and low-inertia grid conditions. These results demonstrate that the VIIRPC outperforms traditional RPCs by enhancing frequency stability and maintaining conventional functionalities. This advancement is particularly significant for modern, RES-dominated railway power supplies, especially in remote areas with RES-based power sources and low short-circuit levels at the PCC. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Review of Converters for Green Hydrogen Generation in Consideration of Renewable Energy(2024-01-01) ;Vivanthanarot, Saman; ; ;Somboonpanya, NattaponPhongsawat, SuwaphitHydrogen is set to revolutionize the future energy landscape with its wide-ranging applications across various sectors. With global decarbonization objectives, water electrolysis provides a sustainable way to produce hydrogen, especially when it is driven by renewable energy sources. This process predominantly utilizes grid electricity, but the growing implementation of renewable energy-powered microgrids presents an attractive alternative for hydrogen production. The produced hydrogen can be used not only for electrical generation within the microgrid but also for local heating and as a fuel for transportation. Power converters are crucial in ensuring stability and reliability in hydrogen production. The paper reviews the power electronics converters required to match the DC and AC voltage source with the needs of electrolyzers. Moreover, this paper explores the technologies of electrolyzers powered by renewable energy sources, with a particular focus on wind turbines and PV. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Minimum cost design of small low-loss transformers(2005-01-01); Chat-uthai, C.A procedure for minimum cost design of a small low-loss low-frequency transformer is presented. The total losses of transformer can be defined to be the design constraint. The procedure for improving the accuracy of calculated total losses is the basis of the proposed total losses calculation associated with the temperature rise evaluation. The optimization technique used in this paper is based on the Genetic Algorithms. Five samples of 72 VA, 220/24 V, 50 Hz transformers have been designed and tested in order to illustrate how well the calculated total losses values using this proposed procedure matches that of the measured values obtained from the test. Finally, the simulation results of the minimum cost design with losses constraint are demonstrated. This proposed design is suitable for the design of economical transformer with total losses value options which is considerably flexible for a particular purpose. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Non-isolated Onboard EV Charger Controller Design Based on Port-Hamiltonian Approach(2023-01-01) ;Somboonpanya, Nattapon; The growth of the electric vehicles (EVs) market and the inadequacy of EV infrastructure, especially EV charging station, have led to an increase in charging EVs at home or the workplace. Onboard EV chargers (OBCs) have been installed on electric vehicles to charge batteries. The trend of increasing power rating and minimized sizing of OBCs, the improvement in stability and performance has been interesting. This paper demonstrates non-isolated EV onboard chargers with controller design based on Port-Hamiltonian control law to approach a robust control system and operate under wide operating range. Finally, the feasibility of the proposed control scheme is validated through experiment in laboratory. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Capacity Forecasting of Lithium-Ion Batteries Using Empirical Models: Toward Efficient SOH Estimation with Limited Cycle Data(2025-07-01) ;Sivalertporn, Kanchana ;Poopanya, PiyawongAccurate prediction of lithium-ion battery capacity degradation is crucial for reliable state-of-health estimation and long-term performance assessment in battery management systems. This study presents an empirical modeling approach based on experimental data collected from four lithium iron phosphate (LFP) battery packs cycled over 75 to 100 charge–discharge cycles. Several mathematical models—including linear, quadratic, single-exponential, and double-exponential functions—were evaluated for their predictive accuracy. Among these, the linear and single-exponential models demonstrated strong performance in early-cycle predictions. It was found that using 30 to 40 cycles of data is sufficient for reliable forecasting within a 100-cycle range, reducing the mean absolute error by over 80% compared to using early-cycle data alone. Although these models provide reasonable short-term predictions, they fail to capture the nonlinear degradation behavior observed beyond 80 cycles. To address this, a modified linear model was proposed by introducing an exponentially decaying slope. The modified linear model offers improved long-term prediction accuracy and robustness, particularly when data availability is limited. Capacity forecasts based on only 40 cycles yielded results comparable to those using 100 cycles, demonstrating the model’s efficiency. End-of-life estimates based on the modified linear model align more closely with typical LFP specifications, whereas conventional models tend to underestimate the cycle life. The proposed model offers a practical balance between computational simplicity and predictive accuracy, making it well suited for battery health diagnostics. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Development of a 1 kW Mid-Range Wireless Power Transfer Platform for Autonomous Guided Vehicle Applications Using an LCC-S Resonant Compensator(2025-06-01); ;Phongsawat, Suwaphit; This study presents the development, simulation, and hardware implementation of a 48 V, 1 kW mid-range wireless power transfer (WPT) platform for autonomous guided vehicle (AGV) charging in industrial applications. The system uses an LCC-S compensation topology, selected for its ability to maintain a constant output voltage and deliver high efficiency even under load variations at a typical coil distance of 15 cm. It can also operate at different distances by adjusting the compensator circuit. A proportional–integral (PI) controller is implemented for current regulation, offering a practical, low-cost solution well suited to industrial embedded systems. Compared to advanced control strategies, the PI controller provides sufficient accuracy with minimal computational demand, enabling reliable operation in real-world environments. Current adjustment can be dynamically carried out in response to real-time changes and continuously monitored based on the AGV battery’s state of charge (SOC). Simulation and experimental results validate the system’s performance, achieving over 80% efficiency and demonstrating its feasibility for scalable, robust AGV charging in Industry 4.0 Manufacturing Settings. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, EV Charging Station Planning Based on Nearby Station Data(2024-01-01) ;Somboonpanya, Nattapon ;Ketjaem, Supakorn; ; Thounthong, PhatiphatThis paper presents the optimal electric vehicle charging station installation planning, focusing on the installation scenarios where the location is pre-selected. The optimization process includes the maximum charging power capacity and the number of electric vehicles charging stations. Energy consumption information from nearby charging stations is harvested and then analyzed for forecasting the energy supply behavior of each charging station. This paper has a financial analysis to evaluate the cost-effectiveness of each installation scenario. Additionally, this methodology is demonstrated through the real-world data of charging patterns from electric vehicles at each charging station in Thailand. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, CC-CV Charging Control Based on Modified Hamiltonian Control Law for EV Application(2024-01-01) ;Somboonpanya, Nattapon; ; ;Jamshidpour, EhsanThounthong, PhatiphatThis paper proposes constant current-constant voltage (CC-CV) charging control based on Hamiltonian control law with a state observer for a bidirectional buck-boost converter on an EV charger. The CC-CV charging scheme is mainly utilized to charge lithium-ion batteries on an electric vehicle. In CC mode, the battery is charged with a preset value until the battery voltage reaches the desired equalized voltage. During CV mode, equalized current is used to maintain battery voltage to equalize the battery. In this work, equalization current requires the actual battery voltage, desired battery voltage, and the battery current for its calculation. Additionally, a state observer is implemented to estimate voltage across uncertainties of resistance and the battery current. Also, it can enhance the performance of the proposed control scheme and minimize the required sensors. Furthermore, the 1 kW prototype of the bidirectional buck-boost converter is developed to demonstrate the feasibility of the proposed controlled scheme. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Control Strategy of Interleaved Buck Converter for Automated Guided Vehicles with Misalignment in Wireless Power Transfer Systems(2024-01-01) ;Phongsawat, Suwaphit; ; ; Takorabet, NoureddineThe analysis of the positioning of the power transmission coil with a power rating of 3 kW and an output voltage of 48 V at a frequency of 85 kHz is presented, along with a simulation of the wireless power transfer (WPT) control system using an LCC-S resonance compensation circuit, applied to automated guided vehicles (AGVs). The case where the coil positions are misaligned with a deviation of 0-20% from the size of the power transmission coil is considered. Apparently, it can be illustrated that when the two power transmission coils are misaligned, the battery can still be charged in constant current mode using an interleaved buck converter circuit through a PI controller to increase the output power. The operation is simulated using MATLAB/Simulink software.
