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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 2,594 Documents
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Direct torque control technique for BLDC motor drive in electric vehicle applications Chavhan, Sachin; Kumbhar, Mahesh
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp817-826

Abstract

In the field of electric vehicles (EV), the hunt for the appropriate choice of motor and its control technique would be a never-ending process. The brushless DC (BLDC) motors are deployed in electric vehicles on account of higher efficiency, long life, compact size, and higher torque capacity in comparison to other types of motors. The recent advancements in power electronics have assisted in the deployment of BLDC motors in electric vehicles. These applications demand a control mechanism for the motoring mode as well as the regenerative braking mode. During the motoring mode, the power delivered to the motor is controlled, and during the regenerative braking mode, the charging of the battery takes place. Speed control strategy during motoring mode is essential to guarantee the required performance. This paper presents a direct torque control (DTC) technique for BLDC motor control for electric vehicles. The control technique and drive setup are developed to cater to the motoring mode as well as regenerative braking operation as desired for electric vehicles. MATLAB simulation and results are discussed for both modes of operation. Also, the dynamic response of the system is analyzed, which shows an average 1.1 ms response time for a 100 RPM change in speed during speeding up and 0.76 ms response time while speeding down.
Set up of a secondary on-board charger fed by PV DC station with grid injection for fast charging the recent city cars Arrach, Mohamed; Tahiri, Fatima Ezzahra; Lokriti, Abdesslam; Chikh, Khalid
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp683-694

Abstract

In this article, we propose a secondary high-power charger provided by a photovoltaic source with grid connection. The high-power charger is composed of a phase shift full bridge (PSFB) DC-DC converter controlled by a constant voltage constant current algorithm based on PI control. The first stage is composed of a PV panel source, controlled by a fuzzy logic using a maximum power point tracking (MPPT) algorithm, associated with a synchronous boost converter to set up the voltage at the standard common 400 V bus level. While the charger is a second stage composed of a phase shift converter for step down and adapting the voltage and the charging current for the battery of the urban electric car. We have also proposed the grid connection with a simple optimization to inject the generated power into the electrical grid when no car is connected to the power station. To achieve this goal, simulation results of the proposed configuration control techniques by using the MATLAB/Simulink environment are presented and discussed at the end of this paper.
Economic and ecological constraints of hybrid systems with Bayesian networks Toure, Amadou Fousseyni; Sissoko, Abdoulaye; Danioko, Fadaba; Tchoffa, David; El Mhamedi, Abderrahman
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1314-1324

Abstract

To confront climate change and the shortage of fossil fuels, countries are turning to renewable energies, particularly solar energy, which is an abundant, inexhaustible energy with a low environmental impact. In Mali, hydraulic and thermal energy sources are insufficient, and the country has been facing a huge energy crisis in recent years. For this reason, the production of solar energy is a major solution. This work proposes a photovoltaic system coupled to the national distribution network to reduce this energy crisis or even resolve it definitively. A preliminary analysis was carried out to define the technical, economic, and ecological conditions for the construction of a 30 MW solar power plant at three interconnection points of the national distribution network of Mali. The objective of this analysis is to determine the economic and ecological constraints of the proposed hybrid system. For modeling, we used the Bayesian network, and for simulation, the BayesienLab simulation tool was used. The simulation results showed a considerable contribution of these three solar power plants in terms of energy deficits, economic deficits, and climate change.
Comparison of speed loop control methods for IPM motor in electric vehicles Thi Hoai Thu Anh, An; Nhu, Tran Van; Hieu, Tran Trong
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp719-727

Abstract

With its outstanding features, such as high efficiency and torque-producing capability compared with the induction motor, the interior permanent magnet synchronous motor (IPMSM) has been increasingly researched and used for electric vehicles. The speed control strategy for both low and high speeds of the IPMSM is studied in conjunction with controllers based on the field oriented control (FOC) structure to ensure accurate and stable system response under various operating conditions. This paper focuses on three control methods: sliding mode control (SMC), backstepping (BSP), and proportional integral (PI) for the speed loop to enhance system stability. Coupled with the presence of load disturbances, environmental disturbances, and uncertainties in parameters, comparisons and observations regarding the three methods can be made to conclude system stability and performance. Finally, simulation results on MATLAB/Simulink software confirm the effectiveness and validity of the proposed speed controllers.
Practical application of lithium-ion battery management systems: heating system Zraibi, Brahim; Mansouri, Mohamed; Ezzahi, Abdelghani
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1389-1398

Abstract

This paper presents a lithium-ion battery management system (BMS) aimed at improving battery longevity through hardware and software optimization. The system targets enhancing energy efficiency in heating devices like burners, commonly used in industrial and domestic applications. A key innovation is the modification of the Arduino Pro Mini 8 MHz 3.3 V microcontroller to reduce power consumption during sleep mode. The study evaluates two iterations of the system: an initial manually soldered prototype using the Arduino board and a second iteration with a robust printed circuit board assembly (PCBA). The transition to the PCBA improved system efficiency and eliminated connection issues. The development integrates conventional circuitry and modern software strategies for efficient battery charge/discharge management. Results from both prototypes demonstrate significant improvements in battery life, offering a sustainable solution for energy-efficient applications.
Optimizing distribution system performance: A comprehensive review of power loss minimization techniques Moufid, Ismail; En-nay, Zineb; Naciri, Soukaina; El Markhi, Hassane
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp710-718

Abstract

This article presents a thorough examination of contemporary techniques aimed at minimizing losses in distribution networks by strategically allocating capacitors, distributed generators (DG), and distribution static synchronous compensators (DSTATCOM). Through an extensive review of background literature and the analysis of current methodologies, the study distills insights from research articles spanning four decades. The survey encompasses diverse single and multi-objective methods, considering various constraints in addressing the distribution system loss minimization problem. Key findings emphasize the effectiveness of capacitor allocation in high voltage distribution networks, the efficiency of DG allocation in integrating small-scale generation, and the growing interest in DSTATCOM allocation for its advantages over traditional capacitor allocation. Particular attention is given to simultaneous techniques, identified as the most efficient approach for enhancing overall system performance.
Single-neuron adaptive double-power super-twisting sliding mode control for induction motor Mencou, Siham; Yakhlef, Majid Ben; Tazi, El Bachir
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp840-850

Abstract

Direct torque control is a widely used control method for induction motors because it offers rapid dynamic response and relatively simple implementation. However, it presents high torque and flux ripples and variable switching frequencies. To overcome these constraints, the double-power super-twisting sliding mode (DPSTSM) control approach has been proposed, integrating the advantages of the super-twisting algorithm designed to reduce chattering with those of the double power convergence law aimed to improve system speed and dynamic quality. However, the optimal tuning of the sliding mode gains of the double-power super-twisting sliding mode controller represents a considerable challenge. To address this issue, we proposed an improvement to the DPSTSM algorithm through the integration of a single-neuron adaptive algorithm. The single-neuron adaptive double-power super-twisting sliding mode control approach aims to dynamically adjust the controller gains, while delivering superior performance in terms of chattering reduction, improved dynamic response, and enhanced robustness to load disturbances. A detailed investigation was carried out via MATLAB/Simulink simulations to determine the effectiveness of the proposed control strategy.
Unlocking the potential of multilevel inverters: a comprehensive review Khadar, Shaik Abdul; Shuaib, Y. Mohamed; Kubendran, Vadivel; Bharanigha, Veerasamy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp982-997

Abstract

The energy usage of the electricity system increased dramatically during the last few years as a result of the rise in consumers and businesses. It resulted in large-scale traditional energy generation, causing an increase in global emissions. As a result, the perforation of sources that are renewable inside electrical networks has greatly grown. Solar power systems (PS) have grown into the most prominent sources because of their tremendous potential; hence, global installed solar power capability has expanded beyond more than 635 gigawatts (GW), representing about 2% of the world’s energy consumption. Multilevel inverters (MLI) are now on top of two-level inverters due to their ability to deliver diminished electromagnetic interference (EMI) and elevated capability. This study examines MLIs in terms of categorization, development, and problems, as well as practical advice for use in renewable energy systems (RES). This review also emphasizes the significance and development of an improved multilevel inverter. In summary, this study focuses on the usage of multilayer inverters in PV systems to stimulate and assist society in developing efficient, cost-effective inverters with integrated capacities of those converters described in the survey.
Optimizing energy management in electric vehicle charging using firefly algorithm Fauzi, Muhammad Ridha; Zakri, Azriyenni Azhari; Syafii, Syafii
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp864-872

Abstract

The transition to electric vehicles (EVs) poses significant challenges in the management of electric vehicle charging stations (EVCS), especially regarding the integration of renewable energy to ensure efficiency and sustainability. This study aims to optimize the energy management system in EVCS that takes into account technological aspects. The algorithm being proposed is specifically created for a 100 kW EVCS and utilizes the firefly algorithm to maximize renewable energy utilization and minimize charging costs. The research methodology includes the development of an optimization framework that combines solar power generation with the Firefly-based optimization algorithm, which considers factors such as power demand, battery capacity, and tariff fluctuations. Simulations show that the algorithm is able to increase solar energy utilization by up to 80%, while reducing charging costs during peak hours. The results also emphasize the importance of real-time energy management to address power demand fluctuations and reduce adverse impacts on the electricity grid. This study concludes that the firefly algorithm is effective in supporting energy management in renewable energy-based EVCS, providing essential knowledge for the development of sustainable charging system within the future.
Artificial raindrop algorithm for control of frequency in a networked power system Dhandapani, Lakshmi; Sreenivasan, Pushpa; Batumalay, Malathy
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1116-1123

Abstract

Load frequency control (LFC) evaluates the net changes in generation by continuously monitoring tie-line flows and system frequency required relying on load changes. It adjusts generator set points to minimize the area control error's (ACE) time-averaged value. ACE is regarded as a controlled output of LFC. Previous research focused on customary power systems like hydro-hydro, thermal-thermal, and hydro-thermal configurations. This current development study introduces the hybrid PV and dual thermal system interconnected systems for LFC analysis. The research evaluates LFC performance with different controllers, considering parameters such as maximum peak overshoot (Mp), maximum undershoot (Mu), settling time (Ts), and peak time (Tp). Controllers, including proportional integral (PI), anti-windup PI, fuzzy gain scheduling PI, and A cutting-edge algorithm generating fake raindrops are used for minimize ACE. The analysis introduces various load perturbations to observe controller performance in interconnected power systems. Both PV-thermal-thermal and thermal-thermal-thermal systems exemplify innovative approaches to energy management that bolster energy efficiency and sustainability. By integrating these advanced systems, we can make significant strides towards achieving global sustainability goals and promoting a cleaner and support energy efficiency for the future.

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