cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
International Journal of Power Electronics and Drive Systems (IJPEDS)
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
Arjuna Subject : -
Articles 65 Documents
 3   4   5   6   7 
Search results for , issue "Vol 15, No 3: September 2024" : 65 Documents clear
Machine learning-based lithium-ion battery life prediction for electric vehicle applications Ha, Vo Thanh; Vinh, Vo Quang; Truc, Le Ngoc
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1934-1941

Abstract

The actual and anticipated battlefield creates a model capable of accurately estimating the lifetime of lithium-ion batteries used in electric cars. This inquiry uses a technique known as supervised machine learning, more particularly linear regression. In lithium-ion batteries, modeling temperature-dependent per-cells is the basis for capacity calculation. When a sufficient quantity of test data is accessible, a linear regression learning method will be utilized to train this model, ensuring a positive outcome in forecasting battery capacity. The conclusions drawn in the article are derived from the attributes of the initial one hundred charging and discharging cycles of the battery, enabling the determination of its remaining power. This determination facilitates the swift identification of battery manufacturing procedures and empowers consumers to detect flawed batteries when signs of performance degradation and reduced longevity are observed. MATLAB simulations have demonstrated the accuracy of the projected results, exhibiting a margin of error of approximately 9.98%. With its capacity to provide a reliable and precise means of estimating battery lifespan, the developed model holds the potential to revolutionize the electric vehicle industry.
Dual-axis solar tracker system utilizing Fresnel lens for web-based monitoring Ayu, Humairoh Ratu; Kurniawansyah, Rifki Mohamad; Supriyanto, Amir; Junaidi, Junaidi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1799-1809

Abstract

Solar energy produced using solar panels is a renewable source of electricity. Over the years, several studies have been developed in the field to increase the performance efficiency of these panels. Therefore, this study aims to develop dual-axis solar tracker with the addition of Fresnel lens to improve performance efficiency. The system implemented consisted of multisensors, servo motors, Fresnel lenses, Arduino nano, and NodeMCU ESP32. In the experiments, proposed tracking system with and without Fresnel lens were evaluated to compare the output of both setups. The results showed that the maximum power of dual-axis solar tracker with and without the device was 13.60 W and 15.78 W, respectively, at the same radiation intensity, temperature, and time. These findings showed that the proposed tracking system could increase the maximum power efficiency of solar panels by 16.03%. Furthermore, the maximum value was obtained when dual-axis solar tracker with Fresnel lens moved from E to W at 23° to the horizontal.
Revolutionizing motor maintenance: a comprehensive survey of state-of-the-art fault detection in three-phase induction motors Bahgat, Bahgat Hafez; Elhay, Enas A.; Sutikno, Tole; Elkholy, Mahmoud M.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1968-1989

Abstract

This comprehensive review delves into electrical machine fault diagnosis techniques, with a particular emphasis on three-phase induction motors. It covers a variety of faults, including eccentricity, broken rotor bars, and bearing faults. It also covers techniques like motor current signature analysis (MCSA), partial discharge testing, and artificial intelligence (AI)-based approaches. This review focuses on fault diagnosis techniques for electrical machines, specifically eccentricity faults, squirrel cage rotor faults, and bearing faults. It discusses their efficacy, applications, and limitations, as well as the role of AI and neural network techniques in modern fault detection applications. The review covers not only eccentricity faults, but also stator or armature faults caused by insulation failure, as well as bearing faults classified as ball, train, outer, and inner races. It focuses on early detection to ensure optimal machine performance and reliability, while also providing insights into fault detection mechanisms. Modern ways of finding problems with machines, like non-negative matrix factorization, rectified stator current analysis, incremental broad learning, and AI-based methods, make machines work better and stop money from being lost. The review is a valuable resource for practitioners and researchers in the field, allowing them to make better decisions about maintenance strategies and increase machine efficiency.
Dimensionality reduced deep learning-based state of health estimation of Lithium-Ion batteries using standard dataset Srikantappa, Vimala Channapatna; Devarakonda, Seshachalam
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1942-1950

Abstract

Lithium-Ion batteries are used in everyday DC equipment’s, electric vehicle technology, and microgrid technology. The necessity to verify the battery's state is crucial for the dependent apps to continue operating without interruption due to advancements in battery technology & adaption. This study uses dimension decreases in input attributes along with deep learning methods to determine the state of health of lithium-Ion batteries (LIB). principal component analysis (PCA), a deep learning technique, is combined with recurrent neural networks (RNN) to reduce dimensionality. For the purpose of evaluating the effectiveness of the dimensionality reduction used in the data, the state of health (SOH) estimate using the RNN with and without PCA is compared. The use of PCA-powered RNNs using mean square error (MSE) as the loss function throughout the training and testing stages of state-of-health (SOH) estimation showed great performance in terms of loss. This was seen during the training and testing processes' respective testing and validation phases.
Effect of water-based cooling on PV performance: case study Shaaban, Abdullah M. A.; El-Samahy, Adel A.; Abed, Kamal A.; Mosa, Magdi A.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1892-1902

Abstract

Solar energy, especially photovoltaic (PV), is one of the most common renewable energy resources. Panel temperature and dust are the common problems which have a great effect on the conversion performance of PV. These problems can be alleviated by cooling and cleaning in order to improve its efficiency. This paper investigates the effect of PV cooling on the energy harvesting. The study is carried out experimentally using two similar PV panels which are subjected to the same environmental conditions and connected to similar load. The proposed cooling system is applied to one of these panels while the other is left without cooling for comparison. Five cases of water cooling are tested; surface cooling in two ways, back cooling using sprayers with and without cotton net, and hybrid cooling. The effect of cooling can be noticed from the measured load voltage and power. It is found that the surface cooling is the most effective because it achieved the best improvement comparing to others. When the panel temperature decreased from 65 to 42 °C, the load voltage increased from 32.55 to 35.8 V and the load power from 4.57 to 5.37 watts, with an improvement of about 10% and 18%, respectively.
Real-time advanced sensorless control of axial flux synchronous motor Hassan, Amir Yassin; Ebrahim, Essamudin Ali; Salem, Saber Mohamed Saleh; Elzalik, Mohamed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1358-1368

Abstract

Interior rotor axial flux permanent magnet synchronous motor (IRAFSM) sensorless control is essential to inject the motor inside the electric vehicles’ tire. The proposed straight-line guided by the reference speed (SLGBRS) sensorless space vector pulse width modulation (SVPWM) inverter-direct torque control (DTC) technique for driving the IRAFSM used for electric vehicles (EVs) is evaluated using laboratory emulator setup. A hardware-in-the-loop (HIL) controller and data acquisition are used as a real-time emulation, while the results are compared with MATLAB simulation results. Both simulation and real-time application of the proposed sensorless control for the IRAFSM offer a good speed response. The results of real-time evaluation are identical with the simulation results so, the control is accurate and suitable for practical applications. Urban dynamometer driving cycle (UDDS) for heavy-duty vehicles is used as a driving cycle for simulation and real time evaluation. UDDS is used to ensure the reliability of the proposed control against a wide range of speed changes to be applicable for many applications. The proposed technique allows utilizing the IRAFSM in many applications that requires less contact and reduced sensors like robotics and inside EV’s tire with a good reliable control.
A character driver of amplifier for the RF-generator 77.78 MHz at cyclotron DECY-13 in Yogyakarta Atmono, Trimarji; Dwiatmaja, Agus; Piero, Muhamad Rangga Del; Suntoro, Achmad
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1719-1725

Abstract

Measurement of power supply for design of experimental cyclotron in Yogyakarta (DECY-13), i.e. RF-generator 77.78 MHz, especially driver amplifier as important part, has been carried out, in order to minimize the reflected power. Starting from direct digital synthesizer (DDS) as exciter of the radio frequency (RF) wave, having power up to 20 W, the signal sent then to the driver, that has an amplifying factor of around 50. Output of driver works as input for final power of designed DECY-13, which needs about 10 kW of RF power supply for operating the cyclotron. Using network analyzer to get the best position of the RF-power-coupler, it was found the value of dee impedance equals to (50.9 - j0.3) Ω. The signal detected has the behavior as capacitively having value of around 6 nF, that showed by smith chart. An output of 0.8 W by DDS has resulted of 300W to the driver. By a pure resistance 50 Ω dummy load, the system can achieve final power of almost 10 kW.
Passivity-based fuzzy logic approach for optimal power extraction from PMSG-wind energy conversion Chaturvedi, Pallavi; Palwalia, Dheeraj Kumar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1826-1837

Abstract

The preference for permanent magnet synchronous generators (PMSGs) in wind energy conversion systems (WECS) is due to their reliability, compactness, and efficiency. However, designing controllers for PMSG-WECS faces challenges from parameter uncertainties, nonlinearity, and grid integration. To address this, a novel passivity-based nonlinear controller (PBNC) is proposed to precisely track speed and torque. This unique PBNC employs a damped approach to address nonlinearity and integrates a fuzzy logic controller (FLPBNC) for robustness. The chosen strategy shapes energy dynamics using Lyapunov functions. The addition of damping elements ensures Lyapunov stability condition and boosts convergence while keeping the energy functions positive. The system design involves linking passive mechanical and electrical parts in a feedback loop. Meanwhile, for grid integration, a proportional-integral (PI) controller manages DC-link voltage and active power supply to the grid. MATLAB/Simulink simulations confirm the effectiveness of the proposed approach compared to conventional methods.
Simulation model development and experimental validation of a PFC converter Martins, Antonio Pina; Morais, Vítor A.
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1526-1536

Abstract

The most common interface to the electric grid of small power loads, which is based on a diode bridge followed by a bulk capacitor, generates a large number of low-frequency harmonics in the input current. To comply with the IEC 61000-3-2 and IEEE 519 standards it is needed to optimize the interface in terms of current harmonics and the topology composed by a diode bridge and a DC/DC boost converter operating in the critical conduction mode is one having a greater number of comparative advantages. There is a large number of controllers in the market but also a lack of the associated simulation models exists. This paper focuses on the development, validation and testing of a simulation model that mimics an existing integrated circuit and allows for an accurate prediction of the real behavior of the complete converter. The experimental results validate the model with high fidelity and confirm the added value of the topology and control method applied either in transient and steady-state operation.
Common mode voltage mitigation in a three phase 21-level asymmetrical inverter fed induction motor Narayana, Mamatha; Rajappa, Ramesh Honnappanahalli
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1641-1650

Abstract

For many years, numerous high-power applications have been found to cause mechanical damage to the rotating shaft. This research demonstrates that common mode voltage (CMV), which causes common mode leakage currents to flow into the motor bearings and spinning shaft, is one of the main contributing factors to mechanical shaft failures. By applying a carrier based Sinusoidal pulse width modulation (PWM) approach in conjunction with a proportional integral or PI controller technique in the feedback, the study aims to reduce leakage currents by mitigating the common mode voltages induced by the inverter output asymmetry. To accomplish the stated goal, an asymmetrical inverter architecture with a 21-level is employed. The literature emphasized the trade-off between total harmonic distortion (THD) and CMV, which is attempted to be kept well below IEEE's allowable bounds. The system stability is verified and proved by plotting the bode diagram.

Page 6 of 7 | Total Record : 65

 3   4   5   6   7 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol 16, No 4: December 2025 Vol 16, No 3: September 2025 Vol 16, No 2: June 2025 Vol 16, No 1: March 2025 Vol 15, No 4: December 2024 Vol 15, No 3: September 2024 Vol 15, No 2: June 2024 Vol 15, No 1: March 2024 Vol 14, No 4: December 2023 Vol 14, No 3: September 2023 Vol 14, No 2: June 2023 Vol 14, No 1: March 2023 Vol 13, No 4: December 2022 Vol 13, No 3: September 2022 Vol 13, No 2: June 2022 Vol 13, No 1: March 2022 Vol 12, No 4: December 2021 Vol 12, No 3: September 2021 Vol 12, No 2: June 2021 Vol 12, No 1: March 2021 Vol 11, No 4: December 2020 Vol 11, No 3: September 2020 Vol 11, No 2: June 2020 Vol 11, No 1: March 2020 Vol 10, No 4: December 2019 Vol 10, No 3: September 2019 Vol 10, No 2: June 2019 Vol 10, No 1: March 2019 Vol 9, No 4: December 2018 Vol 9, No 3: September 2018 Vol 9, No 2: June 2018 Vol 9, No 1: March 2018 Vol 8, No 4: December 2017 Vol 8, No 3: September 2017 Vol 8, No 2: June 2017 Vol 8, No 1: March 2017 Vol 7, No 4: December 2016 Vol 7, No 3: September 2016 Vol 7, No 2: June 2016 Vol 7, No 1: March 2016 Vol 6, No 4: December 2015 Vol 6, No 3: September 2015 Vol 6, No 2: June 2015 Vol 6, No 1: March 2015 Vol 5, No 4: 2015 Vol 5, No 3: 2015 Vol 5, No 2: 2014 Vol 5, No 1: 2014 Vol 4, No 4: December 2014 Vol 4, No 3: September 2014 Vol 4, No 2: June 2014 Vol 4, No 1: March 2014 Vol 3, No 4: December 2013 Vol 3, No 3: September 2013 Vol 3, No 2: June 2013 Vol 3, No 1: March 2013 Vol 2, No 4: December 2012 Vol 2, No 3: September 2012 Vol 2, No 2: June 2012 Vol 2, No 1: March 2012 Vol 1, No 2: December 2011 Vol 1, No 1: September 2011 More Issue