Phophongviwat, Teeraphon

Preferred name

Alternative Name

Phophongviwat, T.

Main Affiliation

School of Engineering

teeraphon.ph@kmitl.ac.th

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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.
;
Phophongviwat, Teeraphon
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.
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Modeling Li-ion Battery Using Measurement Data
(2023-01-01)
Yutthanava, Tanapon
;
Khomfoi, Surin
;
Phophongviwat, Teeraphon
A precise battery model is essential for battery management system to predict state of charge and cell balancing. The aims of this paper are improved Lithium-ion battery model and study behavior of Lithium-ion battery. In this paper a second-order equivalent circuit of battery lithium-ion is developed to use for Lithium-ion Nickel based battery. The model is developed and validated with experiment result in MATLAB/SIMULINK/SIMSCAPE, As the comparison, The developed model is capable to predict current-voltage performance accurately in battery management system.
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Deteriorated solar panel detection technique of SST for a solar farm application
(2019-03-01)
Khemmook, Panya
;
Khomfoi, Surin
;
Phophongviwat, Teeraphon
;
Pairindra, Worapong
This proposed paper introduces the fault detection method for solar cell with Box Plot technique on the Solid State Transformer (SST) for the solar farm application. The Box Plot technique with inclusive quartile value is functioned for finding the upper and lower limit for data analysis. Normally, the fault detections of solar panels are found by using the PV string current from the SST to calculate the upper and lower limit of the Box Plot. If one of the string currents is in the specific outer boundary, therefore, the solar panels are in non-operational condition mode. Generally, the fault detection testing for the solar panels can be categorized in 5 cases: normal condition, open circuit condition, line-line condition, partial shading condition and degradation condition. Finally, based on the simulation result and the actual results, the Box Plot is able to monitor the performance of the PV string according to various conditions as efficiently as possible and accurate.
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Comparison of LFP battery performance between Screw welding and Laser beam welding
(2022-01-01)
Peanjad, Pannawat
;
Khomfoi, Surin
;
Phophongviwat, Teeraphon
Studying the comparison of the performance of battery packing between screw welding technique and laser beam welding technique, both battery packing techniques have different advantages and disadvantages to different manufacture and assembling. The research is testing the performance of using battery packing in both techniques by choosing the Lithium iron phosphate(LFP) battery manufactured and distributed in the present market. This research will compare the life cycle testing, which tests the battery life performance, testing DC internal resistance of the battery, and comparing the battery's temperature increase while the battery discharged. To collect the performance testing data and choose the most suitable for application use with suitable battery packing technique.
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Hamiltonian Control Law with State Observer on Practical Design of Wireless Power Transfer for Autonomous Guided Vehicle Battery Charging Applications
(2026-01-01)
Pairindra, Worapong
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Somboonpanya, Nattapon
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Ketjaem, Supakorn
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Phongsawat, Suwaphit
;
Phophongviwat, Teeraphon
This paper presents the design and calculation of wireless power transfer (WPT) integrated with the Hamiltonian Control Law. The proposed controller demonstrates greater effectiveness in terms of system stability and precise energy control, as compared to the commonly used PI controller in industrial applications. The proposed prototype has been built for assessment in both simulation and implementation, with a rated output power of 500 W and 48 V. The load-independent compensating topology, such as the LCC-S resonant tank, is used to transmit power wirelessly through an air core. Finally, in the last stage, the Hamiltonian Control Law with state observer is applied on the dc-to-dc buck mode converter to control the battery current and overall system. Apparently, the charging current can be precisely regulated to a specific value.
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Quantitative Assessment of EV Energy Consumption: Applying Coast Down Testing to WLTP and EPA Protocols
(2025-07-01)
Phophongviwat, Teeraphon
;
Poopanya, Piyawong
;
Sivalertporn, Kanchana
This study presents a comprehensive methodology for evaluating electric vehicle (EV) energy consumption by integrating coast down testing with standardized chassis dynamometer protocols under WLTP Class 3b and EPA driving cycles. Coast down tests were conducted to determine road load coefficients—critical for replicating real-world resistance profiles on a dynamometer. Energy usage data were measured using On-Board Diagnostics II (OBD-II) and dynamometer measurements to assess power flow from the battery to the wheels. The results reveal that OBD-II consistently recorded higher cumulative energy usage, particularly under urban driving conditions, highlighting limitations in dynamometer responsiveness to transient loads and regenerative events. Notably, the WLTP low-speed cycle exhibited a significantly lower efficiency of 62.42%, with nearly half of the battery energy consumed by non-propulsion systems. In contrast, the EPA cycle demonstrated consistently higher efficiencies of 84.52% (low-speed) and 93.00% (high-speed). Interestingly, high-speed efficiencies between WLTP and EPA were nearly identical, despite differences in total energy consumption. These findings underscore the importance of aligning test protocols with actual driving conditions and demonstrate the effectiveness of combining coast down data with real-time diagnostics for robust EV performance assessments.
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Technical Assessment of Reusing Retired Electric Vehicle Lithium-Ion Batteries in Thailand
(2023-06-01)
Phophongviwat, Teeraphon
;
Polmai, Sompob
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Maneeinn, Chaitouch
;
Hongesombut, Komsan
;
Sivalertporn, Kanchana
A rapid growth in electric vehicles has led to a massive number of retired batteries in the transportation sector after 8–10 years of use. However, retired batteries retain over 60% of their original capacity and can be employed in less demanding electric vehicles or stationary energy storage systems. As a result, the management of end-of-life electric vehicles has received increased attention globally over the last decade due to their environmental and economic benefits. This work presents knowledge and technology for retired electric vehicle batteries that are applicable to the Thai context, with a particular focus on a case study of a retired lithium-ion battery from the Nissan X-Trail Hybrid car. The disassembled battery modules are designed for remanufacturing in small electric vehicles and repurposing in energy storage systems. The retired batteries were tested in a laboratory under high C-rate conditions (10C, 20C, and 30C) to examine the limitations of the batteries’ ability to deliver high current to electric vehicles during the driving operation. In addition, the electric motorcycle conversion has also been studied by converting the gasoline engine to an electric battery system. Finally, the prototypes were tested both in the laboratory and in real-world use. The findings of this study will serve as a guideline for the sorting and assessment of retired lithium-ion batteries from electric vehicles, as well as demonstrate the technical feasibility of reusing retired batteries in Thailand.
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State of Health Battery Estimation by Using the OCPP of Charging Station Combined with Loss of EV Charging System
(2023-01-01)
Peanjad, Pannawat
;
Khomfoi, Surin
;
Phophongviwat, Teeraphon
;
Manee-Inn, Chaitouch
;
Thounthong, Phatiphat
The research paper focuses on estimating the health of electric vehicle batteries using electrical variables measured by the charger during the charging process. These variables are sent to a central processing system via OCPP (Open Charge Point Protocol), as the charger itself has limitations in directly measuring battery health. To overcome this limitation, this research utilizes electrical variables measured by the DC charger during the charging process to estimate battery health. The Coulomb counting method is employed in combination with an investigation into losses within the vehicle's charging system to enhance the accuracy of State of Health (SoH) estimation. The obtained battery health values will assist electric vehicle users in better trip planning and maintenance scheduling.
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The Prediction of Lithium Battery Life in Cellular Telecommunication Stations
(2022-01-01)
Khemmook, Panya
;
Pairindra, Worapong
;
Phophongviwat, Teeraphon
This research paper introduces the remaining useful life prediction of lithium batteries operating at 48 V, 100 Ah on the cellular telecommunication substation with the load supply current conditions 1C rate at 100% DOD. According to the prediction technique, a 100-cycle of experimental results of actual discharge time are used to create the equation by using the curve fitting technique. Finally, the obtained results can estimate the battery lifetime and identify the time which will be able to supply the battery's load if the battery is operated under any conditions.
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A Comparative Study on the Parameter Identification of an Equivalent Circuit Model for an Li-ion Battery Based on Different Discharge Tests
(2022-03-01)
Poopanya, Piyawong
;
Sivalertporn, Kanchana
;
Phophongviwat, Teeraphon
An effective model of battery performance is important for battery management systems to control the state of battery and cell balancing. The second-order equivalent circuit model of a lithium-ion battery is studied in the present paper. The identification methods that include the multiple linear regression (MLR), exponential curve fitting (ECF) and Simulink design optimization tool (SDOT), were used to determine the model parameters. The aim of this paper is to compare the validity of the three proposed algorithms, which vary in complexity. The open circuit voltage was measured based on the pulse discharge test. The voltage response was collected for every 10% SOC in the interval between 0–100% SOC. The battery voltages calculated from the estimated parameters under the constant current discharge test and dynamic discharge tests for electric vehicles (ISO and WLTP) were compared to the experimental data. The mean absolute error and root mean square error were calculated to analyze the accuracy of the three proposed estimators. Overall, SDOT provides the best fit with high accuracy, but requires a heavy computation burden. The accuracy of the three methods under the constant current discharge test is high compared to other experiments, due to the nonlinear behavior at a low SOC. For the ISO and WLTP dynamic tests, the errors of MLR are close to that of SDOT, but have less computing time. Therefore, MLR is probably more suitable for EV use than SDOT.

Phophongviwat, Teeraphon

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