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Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models
Published 2022“…<p dir="ltr">Three-diode model (TDM) of photovoltaic (PV) cells is a significantly precise model that addresses the electrical and optical losses in such PVs. Due to its nonlinearity and multivariable characteristics, the TDM is a complex and debatable PV model. …”
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Real Time Li-ion Battery Bank Parameters Estimation for Electric Vehicle Traction System
Published 2019Get full text
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Regression estimation for continuous-time functional data processes with missing at random response
Published 2024“…<p dir="ltr">In this paper, we are interested in nonparametric kernel estimation of a generalised regression function based on an incomplete sample (,,)∈[0,] copies of a continuous-time stationary and ergodic process (,,). The predictor X is valued in some infinite-dimensional space, whereas the real-valued process Y is observed when the Bernoulli process =1 and missing whenever =0. …”
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Quantifying the Probability of Partial Discharge in VFD Fed Electric Motors under Voltage Harmonics Concentration
Published 2022“…However, the operation of electric motors (EMs) fed by variable frequency drives (VFD) produces harmonic distortion in the sinusoidal test voltage waveform. …”
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Novel integration between propane pre-cooled mixed refrigerant LNG process and concentrated solar power system based on supercritical CO2 power cycle
Published 2023“…These benefits are obtained mainly by recovering the cold energy of the flash-gas of the C3MR process through the precooling process of the sCO<sub>2</sub> cycle. …”
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State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches
Published 2024“…<p dir="ltr">Precise estimation of both state-of-charge (SoC) and state-of-health (SoH) is crucial for optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and reliability, where machine learning (ML) plays a vital role in this regard. …”
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Enhancing Scalability of Fast Electric Vehicle Charging Stations: Solutions for AC–DC Side Integration and Regulation
Published 2024“…<p dir="ltr">This article introduces a set of innovative solutions designed to enhance the scalability of ac–dc side operations in fast electric vehicle (EV) charging stations. The proposed solutions focus on streamlining and regulating the connection process for integrating a new active front-end rectifier (AFR) with existing AFRs at the high-voltage dc-link side, without requiring detailed knowledge of their specifications, such as control algorithms, switching frequencies, topologies, and modulation techniques. …”
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Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV
Published 2013Get full text
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Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty
Published 2025“…A well-structured ML pipeline was developed to integrate these processes, optimizing the entire model development cycle for efficiency and practical implementation. …”
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Reliability of high strain ionomeric polymer transducers fabricated using the direct assembly process
Published 2007“…Recently the authors have developed a novel fabrication technique called the direct assembly process (DAP), which allowed improved control of the electrode morphology and composition. …”
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Using a Pattern Recognition-Based Technique to Assess the Condition of Silicone Rubber Outdoor Insulators
Published 2013Subjects: Get full text
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Exploring the potential of onboard energy scavenging subsystems for generating valuable data
Published 2023Subjects: -
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A Dynamic Optimal Battery Swapping Mechanism for Electric Vehicles using an LSTM-based Rolling Horizon Approach
Published 2022“…This paper proposes a new approach for optimal operation of an Electric Vehicle (EV) battery-swapping station (BSS) based on Rolling-Horizon optimization (RHO). …”
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