International Journal of Power Electronics and Drive Systems (IJPEDS)
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Advanced thermal modeling of lithium-ion batteries: foundations for advanced capacity prediction
Thermal modeling of lithium-ion batteries is crucial for optimizing their performance and reliability in applications such as electric vehicles and energy storage systems. This study introduces a novel thermal modeling framework to predict internal battery temperature as a function of current and ambient temperature. Three advanced methodologies, NN-LM, NN-BR, and GPM, were evaluated using drive cycle data across temperatures that vary from -20 °C to 25 °C. Among these, Gaussian process modeling (GPM) demonstrated the highest accuracy with an RMSE of 0.034%, while NN LM achieved an RMSE of 0.083%, offering a computationally efficient alternative suitable for real-time applications. The developed thermal model establishes a foundation for future research aimed at predicting battery capacity by incorporating the effects of internal temperature. Furthermore, accurate monitoring of internal temperature is critical for preventing thermal runaway by enabling early detection of unsafe thermal conditions. This work establishes a robust foundation for future research, aiming to develop real-time capacity prediction models, ultimately enhancing battery management systems under diverse operating conditions
A model predictive control strategy for enhance performance of totem-pole PFC rectifier
This paper proposed a simple but effective finite control set-based model predictive control (FCS-MPC) method to control a totem-pole bridgeless boost PFC rectifier (TBBR). The control algorithm selects from the possible switching states an appropriate one that fulfills a predefined cost function. This method also successfully eliminates the zero-crossing current distortion so that the grid current can synchronize well with the grid voltage. The theoretical analysis was presented and verified by simulation. Finally, a 3.3 kW/400 Vdc prototype was fabricated and investigated through various working conditions to realize the effectiveness of the proposed control strategy. Both simulation and experimental results show that the proposed control method can ensure accurate control of DC link output voltage and sinusoidal input current with unity power factor
Optimization of resonant capacitance values for high-efficiency uninterruptible wireless power transfer system using CST software
This paper introduces an innovative methodology for optimizing resonant capacitance values (Cp and Cs) to enhance the efficiency of uninterruptible wireless power transfer (UWPT) systems, utilizing advanced computer simulation technology (CST) software. Precise tuning of resonant capacitance is critical for achieving optimal frequency matching, which directly influences system performance. The study focuses on three coil configuration strategies: standard coil configuration, coil integrated with ferrite, and coil enclosed within a casing and ferrite. These configurations were analyzed to identify the optimal capacitance values, resulting in significant efficiency improvements. Through comprehensive CST simulations, the capacitance values of Cp1, Cp2, and Cs were optimized to 140.8 nF, 105.6 nF, and 145.5 nF, respectively, achieving a remarkable power transfer efficiency of 99.61% in the casing and ferrite configuration. The proposed optimization methodology consistently achieved efficiencies exceeding 90% between the transmitter and receiver coils. Beyond simulation results, this research highlights the potential for real-world applications and underscores the importance of precise parameter optimization in advancing high-efficiency wireless power transfer systems. Future studies will aim to validate the findings experimentally and explore broader applications of the proposed system
Control of quarter electric vehicle based on PACEJKA tire model by fuzzy sliding controller
This paper presents the design of a hybrid intelligent fuzzy sliding controller (HIFSC) for a purely electric quarter vehicle (QEV) using a brushless DC (BLDC) motor and a PACEJKA tire model. The proposed system processes control signals to manage the QEV's dynamic longitudinal behavior. The BLDC motor and tire are modeled together to form an in-wheel motor system, which is inherently non-linear and subject to uncertainties. To address these challenges, an intelligent controller integrating sliding mode control (SMC) with fuzzy logic tuning is proposed. While SMC is effective in managing non-linearities, it is prone to chattering. The incorporation of fuzzy logic aims to mitigate this issue, ensuring stability and maintaining the sliding mode. The system and controller were simulated using MATLAB/Simulink. Simulation results demonstrate that the fuzzy sliding mode controller outperforms the conventional PI controller by reducing chattering and enhancing the system's sensitivity to external noise, without overshooting across various road conditions. Notably, the slip rate achieves a maximum of around 2.1% on wet roads
Diligence analysis for micro grid systems in islanded mode of operation with optimal switching control of converter
To operate a microgrid system in islanded mode, it is essential to analyze the economic feasibility and performance of the system. The proposed system integrates two or more renewable energy sources, providing a promising solution for meeting energy needs sustainably. Conducting a techno-economic analysis of such microgrid systems is critical to maximizing the efficient utilization of renewable energy sources. The simulations for these microgrid systems are performed using HOMER Pro software, where various economic parameters—such as cost of energy (COE), electricity production, net present cost (NPC), carbon emissions, fuel consumption, and payback period—are evaluated for the proposed systems. Additionally, the system's performance is analyzed using PSIM software, which incorporates optimal switching control. The results are further validated using a prototype hardware setup. The findings indicate that the PV/hydro system with NPC: 705,658 Rs and payback period: 9.65 years is the most suitable option for meeting the electricity demand in rural areas. Also, through optimal switching control applied to the micro grid converter the output voltage achieved is seven levels and harmonic distortion is 3.7% for voltage and 1.7% for the current
Development of random pulse width modulation technique for voltage source inverter drives
In this research, the structure selection of the carriers in the implementation of random pulse width modulation (RPWM) method for single-phase voltage source inverter (VSI) drives is specified by a 16-bit binary sequence. Subsequently, the genetic algorithm (GA) is used to find the solution of the optimal sequence allowing the output voltage signal to achieve the minimum total harmonic distortion (THD). In addition, the harmonic spreading factor (HSF) is further analyzed to evaluate the acoustic noise and electromagnetic interference (EMI) of the operation of electromechanical system. Finally, through hardware testing process, the simulation results are validated in order to ensure the reliability of our research findings. The main components of this testing process are LAUNCHXL-F28379D utilized to generate controlling pulses for the modules insulated gate bipolar transistors (IGBT), and two EVAL-1EDI60I12AF gate driver modules for realizing the full-bridge inverter
Electricity generation and multi-purpose applications from biogas and biomethane
Biogas produced from biomass is a renewable energy resource with high value potential to support sustainable development. This study presents abridged advances and pathways from biogas and biomethane to electricity with opportunities and challenges in generation, conversion, and storage needed for use in many areas like transportation, power generation and storage, building, and industrial heat production sectors. A high knock resistance, making it suitable for use in thermal systems with high compression rate, characterizes biogas combustion. Various prime movers using biogas as fuel can be used for electricity generation, including direct conversion through fuel cells, which is a significant pathway to sustainable energy storage. Biogas to electricity conversion by a generator set is much more practical today. Turbines, micro turbines, Stirling engines, diesel engines, and petrol engines are only some of the viable possibilities for converting biogas to electricity. Biomethane can be used as a substitute for natural gas in all its applications with little or no modifications to the fuel infrastructure. Finally, this study discusses biogas and biomethane’s limits and contribution to the Sustainable Development Goals 2, 6, 7, 8, 9, 11, 13, 14, and 17
Retraction Notice: A modified circulating current suppression control based on MMC grid connected using NLM
-----------------------------------------------------------------------------------------------Notice of RetractionAfter careful and considered review by a duly constituted expert committee, this paper has been found to be in violation of IAES Publication Principles. 1. PlagiarismThe article was found to have copied portions of content from the following Chinese paper without appropriate citation:DOI: 10.13873/J.1000-9787(2024)11-0028-05https://d.wanfangdata.com.cn/periodical/Ch9QZXJpb2RpY2FsQ0hJTmV3UzIwMjUwMTE2MTYzNjE0Eg5jZ3FqczIwMjQxMTAwOBoIM3B4b2xsZ3M%3D 2. Authorship MisconductThe Editorial Office received a formal request from Dr. Riyadh Kamil Chillab (University of Baghdad), who stated: “as I was mistakenly included as an author without my consent.” This confirms that his name was added to the article without his knowledge or approval, constituting a serious violation of authorship ethics. 3. Corresponding Author’s StatementThe submitter of the paper, Mr. Ahmed Kamil Hannan, sent multiple emails to the Editorial Office regarding manuscript ID: 23942 (“A modified circulating current suppression control based on MMC grid connected using NLM”, Vol. 16, No. 2, June 2025, DOI: 10.11591/ijpeds.v16.i2.pp1051-1060).In his communications, Mr. Hannan did not acknowledge plagiarism. Instead, he stated that the authors had “noticed scientific errors in the manuscript” and requested withdrawal of the paper. He further offered to bear all costs and assured that the manuscript would not be submitted to any other journal. Retraction DecisionIn accordance with IAES’s commitment to uphold the highest standards of academic integrity, and considering both plagiarism and authorship misconduct, the content of this article has been formally retracted from the OJS platform.----------------------------------------------------------------------------------------------- High total harmonic distortion (THD) occurs when conventional circulating current suppression and modulation strategies fail to control arm circulating current in a modular multilevel converter (MMC) controlled by a virtual synchronous generator. This paper proposed a joint circulating current suppression technique that improves the proportional resonant controller's control mode and introduces the nearest level approach modulation (NLM) strategy for arm circulating current rectification. The MATLAB/Simulink program is used to conduct the simulations. The results show that: when the grid frequency does not fluctuate, the joint suppression strategy's arm current THD is 2.79%, 0.92% lower than the quasi-proportional resonant controller's (QPRC) THD; under primary frequency modulation, the suggested strategy's THD of the a-phase current is 1.75%, 1.03% lower than the QPRC's THD. Under typical operating conditions and with primary frequency management of the grid-type MMC, the results show that the proposed combined circulating current suppression technique may successfully lower total harmonic distortion (THD), eliminate bridge arm circulating current, and improve power quality
Improving efficiency of multi-phase cascaded DC-DC boost converters in discontinuous conduction mode suitable for renewable energy application
This study presents an improvement on the efficiency of a proposed multiphase cascaded DC-DC boost converter by employing discontinuous conduction mode(DCM) for its operation. The proposed multiphase cascaded DC-DC boost converter is characterized by high voltage gain and low input current ripple. This converter consists of two stages and is designed to connect a photovoltaic (PV)system to a DC microgrid bus. First, the loss equations for the converter are analyzed, then discontinuous conduction mode is applied to the first stage of the proposed converter by adjusting the second stage output current value, which represents grid load fluctuations. Subsequently, the efficiency of the proposed converter will be evaluated. Further, comparison with two operation modes, continuous conduction mode (CCM) and boundary conduction mode (BCM), is provided. To verify the proposed analysis and calculation, experiments are conducted by implementing the circuitry in a lab-scale prototype. The results show that by implementing DCM operation, the proposed converter achieves the high est efficiency of 92.2% at an output power of 120 W, while other modes achieve lower efficiencies as in CCM with 90.17% at an output power of 215.5 W. In the proposed converter, the dominant source of losses is attributed to the inductor, accounting for approximately 62% of the total losses in DCM. The operation of DCMhas demonstrated a substantial reduction in switching losses, leading to a notable increase in efficiency
A novel adaptive control scheme for dynamic voltage restorer
This study introduces a novel approach to improve the performance of the dynamic voltage restorer (DVR) using a control structure based on the inverse hyperbolic sine function-based least mean square (IHSF-LMS). The proposed control structure efficiently extracts the fundamental source voltage component with rapid convergence. The primary objective of this control scheme is to enhance compensation capability and maintain load voltage stability. Key features include superior steady-state performance and heightened robustness with reduced computational complexity. This approach achieves a reduction in peak overshoot and settling time compared to the traditional LMS method. The validation of system performance is conducted through MATLAB/Simulink simulations, demonstrating compliance with the IEEE-519-2014 standards for harmonic spectra