Zobrazeno 1 - 10
of 681
pro vyhledávání: '"Indragandhi"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Accurately estimating Battery State of Charge (SOC) is essential for safe and optimal electric vehicle operation. This paper presents a comparative assessment of multiple machine learning regression algorithms including Support Vector Machin
Externí odkaz:
https://doaj.org/article/cebe2e50e12445b3bdf384f844b12305
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100856- (2024)
Electric Vehicles (EVs) are transforming the transportation sector, and their integration with the grid is crucial for a sustainable energy future. EVs can serve as distributed energy resources, aiding in peak shaving, frequency management, and volta
Externí odkaz:
https://doaj.org/article/7308fa9a7c584905b763bb5b085f0d07
Autor:
Indragandhi Vairavasundaram, Senthil Kumar Ramu, Jasmin Pamela Stephenraj, Obuli Pranav D, Gerald Christopher Raj Irudayaraj
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 9, Iss , Pp 100690- (2024)
Due to their partial-rating power converters and dynamic performance, doubly-fed induction generators (DFIGs) are commonly used in wind turbines (WT). However, grid-connected DFIGs are vulnerable to voltage dips, which can cause power quality concern
Externí odkaz:
https://doaj.org/article/2894b775e16f4e6d9bce8ea8a389a5f0
Autor:
Vedhanayaki Selvaraj, Indragandhi Vairavasundaram, D. Obuli Pranav, Shubhi Shukla, Bragadeshwaran Ashok
Publikováno v:
IEEE Access, Vol 12, Pp 184052-184070 (2024)
The precise state of charge assessment of lithium-ion battery packs used in electric vehicles is crucial to their dependable and energy-efficient operation. The performance of estimation algorithms reduced due non-Gaussian measurement noise generated
Externí odkaz:
https://doaj.org/article/02295deee285462997a79467ccb0effd
Autor:
Ahmad Alzahrani, Gunapriya Devarajan, Sivaranjani Subramani, Indragandhi Vairavasundaram, Cosmas Uchenna Ogbuka
Publikováno v:
IET Power Electronics, Vol 16, Iss 9, Pp 1548-1557 (2023)
Abstract In Electric Vehicle (EV) application, voltage conversion is significant to obtain the desired operating voltage from the source voltage. A conventional boost converter can handle such applications, but it may add losses throughout the conver
Externí odkaz:
https://doaj.org/article/e0023021e1004d198249064c4d094ac7
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2024 (2024)
Renewable energy sources (RES) are becoming more popular globally as a reaction to critical energy concerns. Modern energy management technologies are used to maximize their efficiency while preserving the reliability of the grid. A hybrid energy sto
Externí odkaz:
https://doaj.org/article/d7bd91d9df3d4d4eae670bed0b5f5ab3
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 5, Iss , Pp 100278- (2023)
The effective and dependable usage of rechargeable batteries has emerged as a central topic for automobile manufacturers in the wake of the rise of electric vehicle technology. When it comes to rechargeable batteries with high specific energy and spe
Externí odkaz:
https://doaj.org/article/87b10cd8906f478c99cbf9044f1565de
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 5, Iss , Pp 100264- (2023)
Integration of solar photovoltaic (PV) systems into a microgrid is accomplished with the help of a dual-diode, dual-capacitor, and single-switch DC-DC boost converter. At the output, a power of 400W transfer is achieved together with a voltage gain o
Externí odkaz:
https://doaj.org/article/06e595c868ce44e2968678f57ead37e1
Publikováno v:
International Transactions on Electrical Energy Systems, Vol 2023 (2023)
Typically, diesel or other fossil fuel-based related applications meet electricity demand. Nonetheless, as the cost of fossil fuels rises, as do their harmful emissions, there is a sudden transition toward stand-alone hybrid renewable energy systems
Externí odkaz:
https://doaj.org/article/14525c77dd37439d81ecf7ca586de2bb
Building a Digital Twin Powered Intelligent Predictive Maintenance System for Industrial AC Machines
Autor:
R. Raja Singh, Ghanishtha Bhatti, Dattatraya Kalel, Indragandhi Vairavasundaram, Faisal Alsaif
Publikováno v:
Machines, Vol 11, Iss 8, p 796 (2023)
Predictive maintenance is a system’s competency in distinguishing future scenarios where the machine is likely to fail and schedule repairs just prior to this happening. A heuristic technology to enable efficient predictive maintenance is digital t
Externí odkaz:
https://doaj.org/article/0df7fff43cf546fea6ba2c031189fda4