M. S. Hossain Lipu

M. S. Hossain Lipu
Green University of Bangladesh · Department of Electrical and Electronic Engineering

PhD
Top 2% Highly Cited Researcher (Stanford University & Elsevier in 2022, 2023 & 2024)

About

174
Publications
109,758
Reads
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8,284
Citations
Introduction
I received a B.Sc. degree in Electrical and Electronic Engineering from the Islamic University of Technology, Bangladesh, in 2008, an M.Sc. degree in Energy from the Asian Institute of Technology, Thailand, in 2013, and a Ph.D. degree from the Department of Electrical, Electronic and Systems Engineering, The National University of Malaysia in 2019. Currently, I am a Director and Associate Professor at the Green University of Bangladesh.
Additional affiliations
February 2022 - present
Green University of Bangladesh
Position
  • Assocaite Professor and Chairperson
January 2020 - January 2022
Universiti Kebangsaan Malaysia
Position
  • Senior Lecturer
Description
  • Faculty of Engineering & Built Environment

Publications

Publications (174)
Article
Hazards in electric vehicles (EVs) often stem from lithium-ion battery (LIB) packs during operation, aging, or charging. Robust early fault diagnosis algorithms are essential for enhancing safety, efficiency, and reliability. LIB fault types involve internal batteries, sensors, actuators, and system faults, managed by the battery management system...
Article
Full-text available
Fuel cell electric vehicles (FCEVs) have received significant attention in recent times due to various advantageous features, such as high energy efficiency, zero emissions, and extended driving range. However, FCEVs have some drawbacks, including high production costs; limited hydrogen refueling infrastructure; and the complexity of converters, co...
Article
Full-text available
Clean energy production is now the main challenge for sustainable future which can be addressed by introducing renewable energy sources. Fuel cells are critical in providing sustainable energy solutions by enabling efficient energy conversion in microgrids. To enhance the performance of fuel cell-based microgrids, advanced controllers and inverters...
Article
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The railway system in Bangladesh, particularly the level crossing system, needs significant advancements, including a shift towards using renewable energy to power these crossings. As a solution, this study proposes optimal hybrid systems powered by renewable energy on an automated railway level crossing system, which is reliable, efficient, and su...
Article
A viable way to reduce carbon emissions and achieve sustainable development goals (SDGs) is through reliable and sustainable transportation, specifically through the utilization of electric vehicles (EVs) and integrated energy storage systems (ESSs). The operation and performance efficiency of EVs are based on accurate prediction of the remaining u...
Article
Health and life prognosis research contributes to the development of next-generation energy storage solutions with enhanced performance, longer lifespans, and improved sustainability. Nonetheless, energy storage systems experience a range of deterioration processes over time, such as chemical reactions, mechanical strain, and degradation of electro...
Article
Full-text available
State of charge (SOC) is one of the most important metrics to evaluate the performance of the battery management system (BMS) in electric vehicles (EVs). Lithium-ion batteries have been utilized often for SOC estimates in EV applications because of its attractive characteristics such as extended lifespans, high voltages, energy, and capacities. How...
Article
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Solar PV is gaining increasing importance in the worldwide energy industry. Consequently, the global expansion of crystalline photovoltaic power plants has resulted in a rise in PV waste generation. However, disposing of PV waste is challenging and can pose harmful chemical effects on the environment. Therefore, developing technologies for recyclin...
Article
Battery management system plays a crucial role in enhancing the performance and effectiveness of electric vehicles. The accurate state estimation in terms of state of charge, state of health, state of energy, state of power, and remaining useful life of battery management system is essential to manage and optimize the performance of electric vehicl...
Article
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Access to reliable energy is crucial for development, yet many rural areas in southern Bangladesh suffer from electricity shortages, impeding essential services and hindering social and economic progress. This paper proposes integrating renewable energy-based microgrids to provide sustainable and reliable electricity, thereby improving living condi...
Article
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The societal and economic reliance on non-renewable energy sources, primarily fossil fuels, has raised concerns about an imminent energy crisis and climate change. The transition towards renewable energy sources faces challenges, notably in understanding turbine shear forces within wind technology. To address this gap, a novel solution emerges in t...
Article
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The use of multilevel inverters has gained popularity due to their ability to generate high-quality output voltage with reduced harmonic distortion. The performance of these multilevel inverters can be improved by using a low switching frequency modulation scheme as it enables precise amplitude and harmonic control in the output voltage. Determinat...
Article
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Micro-energy harvesting (MEH) is a technology of renewable power generation which is a key technology for hosting the future low-powered electronic devices for wireless sensor networks (WSNs) and, the Internet of Things (IoT). Recent technological advancements have given rise to several resources and technologies that are boosting particular facets...
Article
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The assessment and monitoring of battery health is very crucial for the maintenance and safety of battery-powered applications such as Electric vehicles (EVs). To conduct appropriate battery operation in EVs, the battery capacity should be estimated accurately. In this regard, the State of health (SOH) estimation is conducted for evaluating the bat...
Article
Multi-agent deep reinforcement learning (MADRL) approaches are at the forefront of contemporary research in optimum electric vehicle (EV) charging scheduling challenges. These techniques involve multiple agents that respond to a dynamic simulation environment to strategically integrate EV charging stations (EVCSs) on microgrids by incorporating the...
Article
To improve the functionality and efficiency of electric vehicles (EVs), the smart battery management system (BMS) is essential. The accurate estimation of the state of health (SOH) and remaining useful life (RUL) in BMS enhance battery safety, longevity, and reliability, which enhances EV performance and efficiency. However, the accurate estimation...
Article
Full-text available
In order to reduce carbon emissions and address global environmental concerns, the automobile industry has focused a great deal of attention on electric vehicles, or EVs. However, the performance and health of batteries can deteriorate over time, which can have a negative impact on the effectiveness of EVs. In order to improve the safety and reliab...
Article
Multilevel inverters (MLIs) are widely used in various sectors of power electronics. Some major benefits of using MLI are the high-quality voltage output, harmonic reduction, and efficiency. However, MLIs also bear a range of disadvantages including an excessive number of components, high total standing voltage (TSV), and complicated control scheme...
Conference Paper
Full-text available
Understanding LED technology's impact on power quality is essential given the growth in the use of LED lighting applications. In electrical networks, harmonic distortion and other problems with power quality are exacerbated by the growth of non-linear loads like LED lighting systems. This paper focused on the impact of AC loads made of LEDs on inpu...
Conference Paper
Full-text available
Proportional Integral and Derivative (PID) controllers are widely employed to normalize the response of numerous DC motor-powered systems, such as electric locomotives, traction systems, etc. Specifically, this category of controller is ubiquitous due to their simplicity, ease of control, and low-cost. However, their design parameters need to be ca...
Conference Paper
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This study employs the Analytic Hierarchy Process (AHP) methodology to evaluate and compare four prominent PV simulation software tools: PVsyst, HOMER, PVGIS, and SAM. With the urgent need to transition to renewable energy due to escalating global warming concerns, the evaluation of simulation software becomes pivotal. Each software tool is assesse...
Article
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Despite the vast potential of wind energy, it has yet to be implemented widely in Bangladesh. Several barriers play major roles in obstructing the development of the wind energy sector in Bangladesh. Hence, it is necessary to identify these barriers to progress this sector's growth. The analytic hierarchy process (AHP) is a multi-criteria decision-...
Article
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Energy resiliency plays an important role in the proper functioning of data centers as they heavily rely on an uninterrupted power supply to ensure smooth operation. In the case of a power outage, the data center’s operation might be hampered, which results in system downtime, data, and economic loss. This issue is severe in developing countries wh...
Article
This article deals with a thorough investigation of the energy internet towards future emerging technologies for energy distribution and management to solve existing limitations and enhance the performance of future sustainable energy. In consequence, a comprehensive review of energy internet features, applications, methods and existing issues and...
Article
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Alternative energy is a rapidly expanding research area primarily driven by concerns over pollution caused by inefficient conventional energy sources. However, many developing nations rely heavily on these conventional sources. In response, numerous researchers have focused on developing kinetic energy recovery systems (KERS) to capture and utilize...
Article
The prediction of remaining useful life (RUL) in lithium-ion batteries (LIB) serves as a critical health index for evaluating battery parameters, including efficiency, robustness, and accuracy. Existing RUL prediction techniques encounter challenges related to data extraction based on battery parameters and data samples, as well as the selection of...
Article
Full-text available
One of the most important causes of a reduction in power generation in PV panels is the non-uniform aging of photovoltaic (PV) modules. The increase in the current–voltage (I–V) mismatch among the array modules is the primary cause of this kind of degradation. There have been several array configurations investigated over the years to reduce mismat...
Article
The applications of distributed generators in distribution networks have proven to be highly reliable and cost-effective. Accidental islanding is currently regarded as an undesirable operational mode in utility practice because it can harm individuals and connected systems. Therefore, the occurrence of islanding must be detected, and then distribut...
Preprint
Full-text available
Multi-agent deep reinforcement learning (MADRL) approaches are at the forefront of contemporary research in optimum electric vehicle (EV) charging scheduling challenges. These techniques involve multiple agents that respond to a dynamic simulation environment to strategically integrate EV charging stations (EVCSs) on microgrids by incorporating the...
Article
Carbon emissions are the main cause of air pollution and climate change and demand immediate and long-term solutions. The provision of effective, cost-effective energy solutions and the assurance of energy security without producing emissions depend on technological innovation. Power electronics technologies are wildly used for reliably and efficie...
Article
Full-text available
Boost converters and multilevel inverters (MLI) are frequently included in low-voltage solar photovoltaic (PV) systems for grid integration. However, the use of an inductor-based boost converter makes the system bulky and increases control complexity. Therefore, the switched-capacitor-based MLI emerges as an efficient DC/AC voltage convertor with b...
Article
The continuously growing population and urban growth rates are responsible for the sharp rise in energy consumption , which leads to increased CO 2 emissions and demand-supply imbalances. The power sector is switching to alternative energy sources, including renewable energy resources (RES) such as Photovoltaic (PV) and wind power (WP) and battery...
Article
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Energy generation from renewable sources is a global trend due to the carbon emissions generated by fossil fuels, which cause serious harm to the ecosystem. As per the long-term goals of the ASEAN countries, the Malaysian government established a target of 31% renewable energy generation by 2025 to facilitate ongoing carbon emission reductions. To...
Article
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The degradation of solar photovoltaic (PV) modules is caused by a number of factors that have an impact on their effectiveness, performance, and lifetime. One of the reasons contributing to the decline in solar PV performance is the aging issue. This study comprehensively examines the effects and difficulties associated with aging and degradation i...
Article
Full-text available
Fuel cells have drawn a lot of interest in recent years as one of the most promising alternative green power sources in microgrid systems. The operating conditions and the integrated components greatly impact the quality of the fuel cell’s voltage. Energy management techniques are required in this regard to regulate the fuel cell’s power in a micro...
Article
Un-economical grid extension in remote locations has motivated to the creation of stand-alone systems that are inexpensive and reasonably efficient. Renewable sources such as solar energy and biomass are easily available in remote and rural areas which can be utilized to fulfil the energy demands. In the present paper, a PV/Biomass/Battery based hy...
Article
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This paper explores the energy management of a natural gas-based thermal power plant, with a focus on improving its efficiency, sustainability, and economic feasibility. The study uses the Ashuganj Power Station Company Limited (APSCL) in Bangladesh as a case study. To evaluate the efficiency of the APSCL, both energy and exergy perspectives are co...
Article
Full-text available
In fuel-cell-connected utility networks, electrical loads attached to the power network often generate reactive power, which hinders the utility from normal functioning and reduces the system power factor. This condition results in wasted energy, increase demand for electricity, system overload, and higher utility costs for customers. Besides, a po...
Article
Full-text available
Due to the significant number of distributed generators in the electric power system, islanding detection requirements are becoming an increasingly prominent aspect of the power system. The island detection system depends on accurate threshold determination since an incorrect threshold might result in a hazardous situation. To evaluate the proposed...
Article
Recently, lithium-ion battery storage system has become increasingly popular due to its enormous potential and capacity in renewable energy integration and e-mobility applications leading to achieve global carbon neutrality by 2050. However, the performance of lithium-ion batteries has been affected due to the material degradation as well as varyin...
Article
Abstract-This paper presents an improved machine learning approach for the accurate and robust state of charge (SOC) in electric vehicle (EV) batteries using differential search optimized random forest regression (RFR) algorithm. The precise SOC estimation confirms the safety and reliability of EV. Nevertheless, SOC is influenced by numerous factor...
Article
Full-text available
A self-regulated phase estimator (SRPE)-based DQ algorithm for a DC-AC converter with dynamic voltage restoring (DVR) ability is presented in this paper. When compared to the conventional phase-locked loop (PLL), the provided controller can significantly reduce phase distortions and low-order harmonics from the load voltage while attaining quicker...
Article
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Real-time battery SOX estimation including the state of charge (SOC), state of energy (SOE), and state of health (SOH) is the crucial evaluation indicator to assess the performance of automotive battery management systems (BMSs). Recently, intelligent models in terms of deep learning (DL) have received massive attention in electric vehicle (EV) BMS...
Conference Paper
Full-text available
This is the first of a set of papers dealing with the screening, modeling, and feasibility analysis of solar battery charging stations in Bangladesh. Increased use of renewable energy will reduce the price and demand for fossil fuels. Photovoltaic solar energy is mainly used for various purposes such as heating, cooking, and power generation. Recen...
Conference Paper
State of charge (SOC) is a vital parameter utilized to examine the performance of battery storage systems in electric vehicle (EV) applications. The lithium-ion batteries have been broadly utilized in the EV application for SOC estimation because of their high voltage, energy, capacity, and long life cycles. Nonetheless, there has been a concern in...
Article
The remaining useful life (RUL) is considered an important health indicator in lithium-ion batteries for evaluating various features such as efficiency, robustness, and accuracy. The RUL investigates the battery reliability for determining the advent of failure and further mitigating battery risk. The effective RUL prediction of a lithium-ion batte...
Article
State of Charge (SOC), state of health (SOH), and remaining useful life (RUL) are the crucial indexes used in the assessment of electric vehicle (EV) battery management systems (BMS). The performance and efficiency of EVs are subject to the precise estimation of SOC, SOH, and RUL in BMS which enhances the battery reliability, safety, and longevity....
Article
Full-text available
Electric vehicles (EVs) have received widespread attention in the automotive industry as the most promising solution for lowering CO2 emissions and mitigating worldwide environmental concerns. However, the effectiveness of EVs can be affected due to battery health degradation and performance deterioration with lifespan. Therefore, an advanced and s...
Article
Full-text available
Although brushless direct current motor (BLDCM) drives are becoming more popular in industrial and commercial applications, there are still significant difficulties and unresolved research issues that must be addressed. In BLDCM drives, commutation current ripple (CCR) and diode freewheeling during non-commutation zone (NCZ) are the major challenge...
Article
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The increasing integration of renewable sources into distributed networks results in multiple protection challenges that would be insufficient for conventional protection strategies to tackle because of the characteristics and functionality of distributed generation. These challenges include changes in fault current throughout various operating mod...
Article
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The development of a supercapacitor management system (SMS) for clean energy applications is crucial to addressing carbon emissions problems. Consequently, state of charge (SOC), state of health (SOH), and remaining useful life (RUL) for SMS must be developed to evaluate su-percapacitor robustness and reliability for mitigating supercapacitor issue...
Article
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Developing battery storage systems for clean energy applications is fundamental for addressing carbon emissions problems. Consequently, battery remaining useful life prognostics must be established to gauge battery reliability to mitigate battery failure and risks. Nonetheless, the remaining useful life prediction is challenging because the factors...
Article
Full-text available
Citation: Nsaif, Y.M.; Hossain Lipu, M.S.; Hussain, A.; Ayob, A.; Yusof, Y.; Zainuri, M.A.A.M. A Novel Fault Detection and Classification Strategy for Photovoltaic Distribution Network Using Improved Hilbert-Huang Transform and Ensemble Learning Technique.
Article
The energy internet (EI) integrated with smart grid (SG) has been a growing and emerging technology that manages and controls towards reliability, security, data integrity, demand response management, cyber-attacks, efficient utility energy service, and protocols. Nevertheless, EI-based SG implementation has several shortcomings, such as scalabilit...
Article
Full-text available
Recently, electric vehicle (EV) technology has received massive attention worldwide due to its improved performance efficiency and significant contributions to addressing carbon emission problems. In line with that, EVs could play a vital role in achieving sustainable development goals (SDGs). However, EVs face some challenges such as battery healt...
Article
Full-text available
Solid-state transformer (SST) technology is one of the developing technologies that will be widely used in the future to integrate low-voltage and high-voltage networks with control circuitries and power electronics converters, facilitating renewables integration in smart grid applications. SST technology has crucial key advantageous features, incl...
Article
A phase-locked loop (PLL) based on synchronous reference frame (SRF) is a standard PLL that has a simple construction and performs well under undisrupted grid conditions. However, in imbalanced and harmonically disturbed environments, the fundamental grid voltage characteristics deteriorate greatly. Integrating a variety of filters in the control a...
Article
Full-text available
A comprehensive study of a minimized component pencil shaped (PS) 9-level inverter constructed with just two DC supplies is presented in this research. Many of the suggested low component multilevel inverters (MLIs) use DC supplies that are not being used appropriately along with additional conducting switches. Since this proposed MLI has a reduced...