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High-precision state of charge estimation of electric vehicle lithium-ion battery energy storage system based on multi-scale optimized time-varying bounded smoothing variable structure filtering algorithm
State of charge (SOC) is a crucial parameter in evaluating the remaining power of commonly used lithium-ion battery energy storage systems, and the...
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High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering
Accurate online estimation of the state of charge (SOC) and state of energy (SOE) of lithium-ion batteries are essential for efficient and reliable...
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Improved adaptive feedback particle swarm optimization-multi-innovation singular decomposition unscented Kalman filtering for high accurate state of charge estimation of lithium-ion batteries in energy storage systems
Accurate estimation of the state of charge (SOC) of lithium-ion batteries is very important for the development of energy storage systems. However,...
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Effects of Forest Filtering and Cold Trap** on Polycyclic Aromatic Hydrocarbons Distribution in Southeast Tibet
New pollutants in remote regions have become a global issue of concern. This study collected soil, lichen, moss, and air samples from the high...
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A swift expanding trend of extracellular vesicles in spinal cord injury research: a bibliometric analysis
Extracellular vesicles (EVs) in the field of spinal cord injury (SCI) have garnered significant attention for their potential applications in...
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Real-Time Analytics
Learn how to convert the digital codes produced by an analog-to-digital converter (ADC), as a result of the sampling process, into the original... -
Enhancing the Thermoelectric Performance of Cu2S/CuO Nanocomposites Through Energy-Filtering effect and Phonon Scattering
Recently, thermoelectric (TE) materials have seized great attention for their role in clean energy conversion applications. Cu 2 S are p-type...
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Evaluation and Trend of Smart Clothing Research: Visualization Analysis Based on Bibliometric Analysis and Quantitative Statistics
Smart clothing encompass research in interdisciplinary fields such as industrial design, material applications, computer science, and medical...
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A sustainable filtering material for efficient removal of volatile organic compounds from their aqueous mixtures
Volatile organic compounds (VOCs) are hazardous to the environment and human health. Thus, tremendous effort has gone into develo**...
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An improved grey wolf optimization–double adaptive extended Kalman filtering algorithm for co-estimation of state of charge and state of health for lithium-ion batteries based on temperature-dependent second-order RC model
Accurately estimating the state of charge (SOC) and state of health (SOH) of lithium-ion batteries is crucial for the safe operation of electric...
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Improved multi-scale cosine control whale optimization–error feedforward double Kalman filtering for the online state of charge and state of health co-estimation of lithium-ion batteries
Lithium-ion batteries play a pivotal role in diverse applications, necessitating the precise estimation of their parameters for safe and efficient...
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Integration of Optical Property Map** and Machine Learning for Real-Time Classification of Early Bruises of Apples
Real-time detection and classification of bruised apples are critical to appropriate postharvest handling. However, the early bruises are hard to...
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Full Color Angular Filtering of Visible Transmission in Tapered Plasmonic Metamaterial
Flat nanophotonic devices hold a great potential to process diffractive optical information within ultra-thin submicron thickness. In particular,...
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Comparison of filtering models for milk substitutes
Membrane-based methods of filtering are becoming increasingly popular in the food industry, but membrane fouling significantly affects filtration...
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Graphene-Enhanced Refractive Index Sensing and Narrow-band Filtering with Crossed Bicircular Resonator Cavity Waveguides
This work presents a dynamically tunable metal–insulator-metal (MIM) graphene hybrid refractive index sensor and narrow-band filter. Through the use...
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Non-destructive estimation of the bruising time in kiwifruit based on spectral and textural data fusion by machine learning techniques
Detection of kiwifruit bruising time is one of the essential indicators for reducing postharvest losses and assessing internal quality. To...
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Optimized derivative fast Fourier transform with high resolution and low noise from encoded time signals: Ovarian NMR spectroscopy
The unfiltered derivative fast Fourier transform (dFFT) of degrees higher than two fails flagrantly for encoded time signals. These data are always...
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Self-correction of cycle threshold values by a normal distribution–based process to improve accuracy of quantification in real-time digital PCR
The digital polymerase chain reaction (dPCR) is a new and develo** nucleic acid detection technology with high sensitivity that can realize the...
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Multiplex Real-Time PCR for the Detection of Shiga Toxin-Producing Escherichia coli in Foods
Shiga toxin-producing Escherichia coli (STECShiga Toxin-producing (STEC)) is a group of human foodborne pathogens transmitted to humans through the... -
In vivo brain MRS at a 1.5T clinical scanner: Optimized derivative fast Fourier transform for high-resolution spectra from time signals encoded with and without water suppression
We study single-voxel in vivo proton magnetic resonance spectroscopy (MRS) of white matter in the brain of a 25 year old healthy male volunteer. The...