Relevant bibliographies by topics / State of Charge (SOA)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'State of Charge (SOA)'

Author: Grafiati
Published: 3 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "State of Charge (SOA)"

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Zhang, Wenyu, Weigang Wang, Junling Li, et al. "Effects of SO<sub>2</sub> on optical properties of secondary organic aerosol generated from photooxidation of toluene under different relative humidity conditions." Atmospheric Chemistry and Physics 20, no. 7 (2020): 4477–92. http://dx.doi.org/10.5194/acp-20-4477-2020.

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Abstract. Secondary organic aerosol (SOA) has great impacts on air quality, climate change and human health. The composition and physicochemical properties of SOA differ greatly because they form under different atmospheric conditions and from various precursors as well as differing oxidation. In this work, photooxidation experiments of toluene were performed under four conditions (dry, dry with SO2, wet and wet with SO2) to investigate the effect of SO2 under different relative humidities on the composition and optical properties of SOA at wavelengths of 375 and 532 nm. According to our resul
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Saukko, E., A. T. Lambe, P. Massoli, et al. "Humidity-dependent phase state of SOA particles from biogenic and anthropogenic precursors." Atmospheric Chemistry and Physics Discussions 12, no. 2 (2012): 4447–76. http://dx.doi.org/10.5194/acpd-12-4447-2012.

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Abstract. The physical phase state (solid, semi-solid, or liquid) of secondary organic aerosol (SOA) particles has important implications for a number of atmospheric processes. We report the phase state of SOA particles spanning a wide range of oxygen to carbon ratios (O/C), used here as a surrogate for SOA oxidation level, produced in a flow tube reactor by photo-oxidation of various atmospherically relevant surrogate anthropogenic and biogenic volatile organic compounds (VOCs). The phase state of laboratory-generated SOA was determined by the particle bounce behavior after inertial impaction
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Saukko, E., A. T. Lambe, P. Massoli, et al. "Humidity-dependent phase state of SOA particles from biogenic and anthropogenic precursors." Atmospheric Chemistry and Physics 12, no. 16 (2012): 7517–29. http://dx.doi.org/10.5194/acp-12-7517-2012.

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Abstract. The physical phase state (solid, semi-solid, or liquid) of secondary organic aerosol (SOA) particles has important implications for a number of atmospheric processes. We report the phase state of SOA particles spanning a wide range of oxygen to carbon ratios (O / C), used here as a surrogate for SOA oxidation level, produced in a flow tube reactor by photo-oxidation of various atmospherically relevant surrogate anthropogenic and biogenic volatile organic compounds (VOCs). The phase state of laboratory-generated SOA was determined by the particle bounce behavior after inertial impacti
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Denjean, C., P. Formenti, B. Picquet-Varrault та ін. "Relating hygroscopicity and optical properties to chemical composition and structure of secondary organic aerosol particles generated from the ozonolysis of α-pinene". Atmospheric Chemistry and Physics Discussions 14, № 7 (2014): 10543–96. http://dx.doi.org/10.5194/acpd-14-10543-2014.

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Abstract. Secondary Organic Aerosol (SOA) were generated from the ozonolysis of α-pinene in the CESAM simulation chamber. The formation and ageing of the SOA were studied by following their optical, hygroscopic and chemical properties. The optical properties investigated by determining the particle Complex Refractive Index (CRI). The hygroscopicity was quantified by measuring the effect of RH on particle size (Growth Factor, GF) and scattering coefficient (f(RH)). The oxygen to carbon (O : C) atomic ratio of the particle surface and bulk were used as a sensitive parameter to correlate the chan
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Fortin, Patrick, David Harvey, Jake Coole, et al. "Understanding Charge, Mass, and Heat Transfer in Fuel Cells for Transport Applications – Insights from the Camelot Project." ECS Meeting Abstracts MA2023-02, no. 37 (2023): 1712. http://dx.doi.org/10.1149/ma2023-02371712mtgabs.

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Proton Exchange Membrane Fuel Cells (PEMFCs) are a promising solution for zero-emission vehicle propulsion owing to their high energy density, low operating temperature, and high efficiency. The overall aim of the CAMELOT project is to improve the power density of fuel cells by understanding the limitations on the performance of state-of-the-art (SoA) and beyond SoA PEMFC membrane electrode assemblies (MEAs). To achieve this, the CAMELOT project has diagnosed the fundamental transport properties that limit performance of these MEAs and materials. Not only has the CAMELOT project produced MEAs
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Wang, Yu, Aristeidis Voliotis, Yunqi Shao, et al. "Phase state of secondary organic aerosol in chamber photo-oxidation of mixed precursors." Atmospheric Chemistry and Physics 21, no. 14 (2021): 11303–16. http://dx.doi.org/10.5194/acp-21-11303-2021.

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Abstract. The phase behaviour of aerosol particles plays a profound role in atmospheric physicochemical processes, influencing their physical and optical properties and further impacting climate and air quality. However, understanding of the aerosol phase state is still incomplete, especially that of multicomponent particles which contain inorganic compounds and secondary organic aerosol (SOA) from mixed volatile organic compound (VOC) precursors. We report measurements conducted in the Manchester Aerosol Chamber (MAC) to investigate the aerosol rebounding tendency, measured as the bounce frac
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Denjean, C., P. Formenti, B. Picquet-Varrault та ін. "Relating hygroscopicity and optical properties to chemical composition and structure of secondary organic aerosol particles generated from the ozonolysis of α-pinene". Atmospheric Chemistry and Physics 15, № 6 (2015): 3339–58. http://dx.doi.org/10.5194/acp-15-3339-2015.

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Abstract. Secondary organic aerosol (SOA) were generated from the ozonolysis of α-pinene in the CESAM (French acronym for Experimental Multiphasic Atmospheric Simulation Chamber) simulation chamber. The SOA formation and aging were studied by following their optical, hygroscopic and chemical properties. The optical properties were investigated by determining the particle complex refractive index (CRI). The hygroscopicity was quantified by measuring the effect of relative humidity (RH) on the particle size (size growth factor, GF) and on the scattering coefficient (scattering growth factor, f(R
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Lee, Seung-Ho, and Min-Kee Park. "Battery State of Charge Estimation Considering the Battery Aging." Journal of IKEEE 18, no. 3 (2014): 298–304. http://dx.doi.org/10.7471/ikeee.2014.18.3.298.

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Zhu, Jialei, Joyce E. Penner, Guangxing Lin, Cheng Zhou, Li Xu, and Bingliang Zhuang. "Mechanism of SOA formation determines magnitude of radiative effects." Proceedings of the National Academy of Sciences 114, no. 48 (2017): 12685–90. http://dx.doi.org/10.1073/pnas.1712273114.

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Secondary organic aerosol (SOA) nearly always exists as an internal mixture, and the distribution of this mixture depends on the formation mechanism of SOA. A model is developed to examine the influence of using an internal mixing state based on the mechanism of formation and to estimate the radiative forcing of SOA in the future. For the present day, 66% of SOA is internally mixed with sulfate, while 34% is internally mixed with primary soot. Compared with using an external mixture, the direct effect of SOA is decreased due to the decrease in total aerosol surface area and the increase of abs
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Angelotti, Alberto Maria, Gian Piero Gibiino, Corrado Florian, and Alberto Santarelli. "Trapping Dynamics in GaN HEMTs for Millimeter-Wave Applications: Measurement-Based Characterization and Technology Comparison." Electronics 10, no. 2 (2021): 137. http://dx.doi.org/10.3390/electronics10020137.

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Charge trapping effects represent a major challenge in the performance evaluation and the measurement-based compact modeling of modern short-gate-length (i.e., ≤0.15 μm) Gallium Nitride (GaN) high-electron mobility transistors (HEMT) technology for millimeter-wave applications. In this work, we propose a comprehensive experimental methodology based on multi-bias large-signal transient measurements, useful to characterize charge-trapping dynamics in terms of both capture and release mechanisms across the whole device safe operating area (SOA). From this dataset, characterizations, such as stati
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Dissertations / Theses on the topic "State of Charge (SOA)"

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Samolyk, Mateusz, and Jakub Sobczak. "Development of an algorithm for estimating Lead-Acid Battery State of Charge and State of Health." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2937.

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In this paper, a state of charge (SOC) and a state of health (SOH) estimation method for lead-acid batteries are presented. In the algorithm the measurements of battery’s terminal voltage, current and temperature are used in the process of SOC calculation. The thesis was written in cooperation with Micropower AB. The algorithm was designed to fulfill the specific requirements of the electric vehicles application: an error below 5% of SOC, computational simplicity and the possibility of being implemented in a basic programming languages. The current used method at Micropower, Coulomb counting,
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Pola, Contreras Daniel. "An improved prognosis strategy with temperature dependent state-space model for the analysis of the state-of-health and state-for-charge in lithium-ion batteries." Tesis, Universidad de Chile, 2014. http://www.repositorio.uchile.cl/handle/2250/130476.

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Magíster en Ciencias de la Ingeniería, Mención Eléctrica<br>Ingeniero Civil Eléctrico<br>Actualmente existe una gran cantidad de equipos y dispositivos que utilizan baterías como su fuente primaria o secundaria de energía. Para estos sistemas es crítico contar con información del desempeño de sus baterías, dado que este conocimiento puede ayudar a tomar decisiones apropiadas y asegurar autonomía en el tiempo. Dos importantes variables que deben ser monitoreadas son el "Estado-de-Salud" (SOH, del inglés State-of-Health) y el "Estado-de-Carga" (SOC, del inglés State-of-Charge). Este trabajo se e
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Fairweather, Andrew James. "State-of-Health (SoH) and State-of-Charge (SoC) determination in electrochemical batteries and cells using designed perturbation signals." Thesis, University of Sheffield, 2015. http://etheses.whiterose.ac.uk/9156/.

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Quintero, Cedeño Vanessa Lisbeth. "Design of a medium-access-control protocol for wireless sensor networks considering the battery state of charge and state of health." Tesis, Universidad de Chile, 2019. http://repositorio.uchile.cl/handle/2250/170130.

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Tesis para optar al grado de Doctora en Ingeniería Eléctrica<br>La disponibilidad de energía es una de las limitaciones que presentan las Redes de Sensores Inalámbricas (WSN, Wireless Sensor Network). Tradicionalmente, las baterías han sido utilizadas para proveer energía a los nodos de sensores y al tener una vida útil limitada afectan el tiempo de vida de la red. Soluciones como el uso de baterías de gran tamaño o el reemplazo de ellas no son viables, debido al gran número de sensores que componen la red y a que pueden ser desplegados en zonas de difícil acceso. Esta situación ha motivad
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Lièvre, Aurélien. "Développement d'un système de gestion de batterie lithium-ion à destination de véhicules "mild hybrid" : détermination des indicateurs d'état (SoC, SoH et SoF)." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10065/document.

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Les véhicules hybrides se démocratisent avec une utilisation croissante des éléments de stockage à base de lithium-ion. Dans ce contexte d'exploitation, le type d'usage est atypique et dépend fortement des stratégies de répartition des énergies au sein du véhicule. Parmi les hybridations, la catégorie "mild hybrid" conserve la motorisation thermique pour l'autonomie qu'elle apporte, et lui adjoint une machine électrique associée à un élément de stockage réversible, afin de permettre une récupération de l'énergie cinétique du véhicule. L'objet de ces travaux porte sur la mise en place d'algorit
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Urbain, Matthieu. "Modélisation électrique et énergétique des accumulateurs Li-Ion. Estimation en ligne de la SOC et de la SOH." Thesis, Vandoeuvre-les-Nancy, INPL, 2009. http://www.theses.fr/2009INPL028N/document.

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Ce mémoire traite de la modélisation électrique des accumulateurs lithium-ion, de l’estimation de leur état de charge (SOC) et de leur état de santé (SOH). Le premier chapitre revient sur les généralités concernant la technologie lithium-ion : caractéristiques, performances, constitution de l’élément de stockage, choix et nature des électrodes, conséquences qui en découlent d’un point de vue énergétique. Le principe de fonctionnement et les équations générales des phénomènes électrochimiques sont aussi développés. Des exemples d’application dans différents secteurs industriels sont ensuite pro
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Nazer, Rouba Al. "Système de mesure d'impédance électrique embarqué, application aux batteries Li-ion." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT007/document.

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La mesure d'impédance électrique en embarqué sur véhicule est un sujet clé pour améliorer les fonctions de diagnostic d'un pack batterie. On cherche en particulier à fournir ainsi des mesures supplémentaires à celles du courant pack et des tensions cellules, afin d'enrichir les indicateurs de vieillissement dans un premier temps, et d'état de santé et de charge dans un second temps. Une méthode classique de laboratoire pour obtenir des mesures d'impédance d'une batterie est la spectroscopie d'impédance électrochimique (ou EIS). Elle consiste à envoyer un signal sinusoïdal en courant (ou tensio
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Abdennadher, Mohamed Karim. "Étude et élaboration d’un système de surveillance et de maintenance prédictive pour les condensateurs et les batteries utilisés dans les Alimentations Sans Interruptions (ASI)." Thesis, Lyon 1, 2010. http://www.theses.fr/2010LYO10101/document.

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Pour assurer une énergie électrique de qualité et de façon permanente, il existe des systèmes électroniques d’alimentation spécifiques. Il s’agit des Alimentations Sans Interruptions (ASI). Une ASI comme tout autre système peut tomber en panne ce qui peut entrainer une perte de redondance. Cette perte induit une maintenance corrective donc une forme d’indisponibilité ce qui représente un coût. Nous proposons dans cette thèse de travailler sur deux composants parmi les plus sensibles dans les ASI à savoir les condensateurs électrolytiques et les batteries au plomb. Dans une première phase, nous
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Urbain, Matthieu. "Modélisation électrique et énergétique des accumulateurs Li-Ion. Estimation en ligne de la SOC et de la SOH." Electronic Thesis or Diss., Vandoeuvre-les-Nancy, INPL, 2009. http://www.theses.fr/2009INPL028N.

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Ce mémoire traite de la modélisation électrique des accumulateurs lithium-ion, de l’estimation de leur état de charge (SOC) et de leur état de santé (SOH). Le premier chapitre revient sur les généralités concernant la technologie lithium-ion : caractéristiques, performances, constitution de l’élément de stockage, choix et nature des électrodes, conséquences qui en découlent d’un point de vue énergétique. Le principe de fonctionnement et les équations générales des phénomènes électrochimiques sont aussi développés. Des exemples d’application dans différents secteurs industriels sont ensuite pro
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Miller, Jason R. "An analysis of the Sea Enterptise program." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05JunMiller.pdf.

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Books on the topic "State of Charge (SOA)"

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Mohammed, Mousa-Booth, Dugurawa M. S, and Taura Ahmed, eds. Kano State, those in charge. Information Division, Ministry of Home Affairs, Information, and Culture, 1988.

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Theuwissen, Albert J. P. Solid-state imaging with charge-coupled devices. Kluwer Academic Publishers, 1995.

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Fang, Jeffrey M. State approaches to the system benefits charge. National Renewable Energy Laboratory, 1997.

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A, Hall Carsie, and Lewis Research Center, eds. Thermal state-of-charge in solar heat receivers. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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A, Hall Carsie, and Lewis Research Center, eds. Thermal state-of-charge in solar heat receivers. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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A, Hall Carsie, and Lewis Research Center, eds. Thermal state-of-charge in solar heat receivers. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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A, Hall Carsie, and Lewis Research Center, eds. Thermal state-of-charge in solar heat receivers. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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A, Hall Carsie, and Lewis Research Center, eds. Thermal state-of-charge in solar heat receivers. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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A, Hall Carsie, and Lewis Research Center, eds. Thermal state-of-charge in solar heat receivers. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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Avdeef, Alex. Absorption and drug development: Solubility, permeability, and charge state. 2nd ed. John Wiley & Sons, 2012.

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Book chapters on the topic "State of Charge (SOA)"

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Yue, Changxi, Yufeng Sun, Jicheng Yu, Siyuan Liang, Boyang Ma, and Shengzhong Liu. "A High-Precision Measurement Method for Lithium-Ion Batteries Based on Aging Trajectory Transfer and Hardware-in-the-Loop Simulation." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4856-6_13.

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Abstract Accurate measurement of the state of charge (SOC) in lithium-ion batteries is crucial for battery management systems in electric vehicles and fair transactions at battery swapping stations. However, battery aging leads to nonlinear variations in capacity and internal resistance, posing challenges for precise SOC estimation. To address this issue, this paper proposes a high-precision measurement method based on aging trajectory transfer and hardware-in-the-loop (HIL) simulation. Firstly, a two-stage aging trajectory transfer prediction model is established, utilizing aging data from standard batteries to predict the capacity degradation trajectory of the target battery. Factors such as temperature and current are incorporated to enhance prediction accuracy. Subsequently, the predicted aging trajectory is introduced into a PHIL simulation platform to update battery model parameters in real-time, simulating the charging and discharging characteristics of the battery under different aging states. Experimental results demonstrate that this method can effectively predict battery aging trajectories and achieve high-precision SOC measurement. The model accurately quantifies the capacity degradation from 734.63 mAh to 558.24 mAh, a decrease of 24.01%, along with the decline rate of open-circuit voltage and charging time, contributing to high-precision measurement and fair transactions for lithium-ion batteries.
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Sigmund, Peter. "Charge Equilibrium." In Springer Series in Solid-State Sciences. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05564-0_1.

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Sigmund, Peter. "Charge Exchange: Atomistics." In Springer Series in Solid-State Sciences. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05564-0_2.

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Keszthelyi, Lajos. "Charge transport through membranes." In Advances in Solid State Physics. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/bfb0108212.

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Nazemian, Amin, Evangelos Boulougouris, and Myo Zin Aung. "Simulation of Hybrid Fuel Cell-Battery Propulsion System Scrutinizing Multi-scheme Energy Management for a CTV Boat." In Lecture Notes in Mobility. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89444-2_62.

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Abstract This paper proposes a model of a hybrid fuel cell-battery propulsion system for a Crew Transfer Vessel (CTV). A multi-scheme energy management strategy is also applied to the EMS block to optimize energy flow. A fuel cell-battery hybrid system was developed by integrating PEM fuel cells with Li-ion batteries to provide electricity to the propeller propulsion system, and hotel load. Accordingly, a hybrid battery/fuel cell propulsion system with the capability of both charging the battery at both stations and bunkering the fuel tanks will be proposed. During cruising, docking, stopping, accelerating, and loitering phases of a ship journey, power distribution will be carried out, and energy requirements will be investigated at different EMS strategies with the objective of maximising system efficiency. A simulation using MATLAB/Simulink software is conducted using operational profiles at different power load conditions. Simulation is conducted using four EMS schemes: state-based, equivalent fuel consumption minimization strategy (ECMS), a charge-depleting and charge-sustaining strategy (CDCS), and classical proportional-integral (PI) controller-based, which are all selected based on power mode and battery SOC. Results show proposed multi-scheme strategy can lead to significant energy and cost savings, with a maximum of 4% and 12% respectively.
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Bergveld, Henk Jan, Wanda S. Kruijt, and Peter H. L. Notten. "Battery State-of-Charge indication." In Battery Management Systems. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0843-2_6.

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Deng, Dan, Daniel-Ioan Stroe, Jialu Qiao, et al. "Battery State of Charge Estimation." In Multidimensional Lithium-Ion Battery Status Monitoring. CRC Press, 2022. http://dx.doi.org/10.1201/9781003333791-3.

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Rehwald, Walther, and Helmut G. Kiess. "Charge Transport in Polymers." In Springer Series in Solid-State Sciences. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-46729-5_3.

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Nair, Pratheesh Sivaraman, Tomislav Bukic, Dominik Burnner, Georgios Koutroulis, and Milan Zivadinovic. "AI-Based Power Split Strategy for Hybrid Commercial Vehicle Applications." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_137.

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AbstractIn the rapidly evolving landscape of hybrid commercial vehicle technology, integrating artificial intelligence (AI) with fuel cell applications offers a promising frontier for efficient, sustainable and eco-friendly road freight system. There has been many different approaches on optimization of power split between the electric motor and the fuel cell system (FCS). Conventional approaches use quadratic optimization to determine the optimal power from the electric motor at each discrete grid point along the route, with initial and final battery state of charge (SoC) as constraints. This paper proposes a deep reinforcement learning-based approach to optimize the power split between the electric motor and the FCS in a hybrid vehicle at every time point during the vehicle’s trip. The agent demonstrated the ability to autonomously learn and improve power split decisions, resulting in enhanced fuel efficiency.
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Sigmund, Peter. "Charge Exchange: Statistics and Energetics." In Springer Series in Solid-State Sciences. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05564-0_3.

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Conference papers on the topic "State of Charge (SOA)"

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Song, Ningfei, Nanlin Jin, Jingchen Wang, et al. "State of Charge Estimation for Lithium-Ion Batteries Based on Informer-LSTM Hybrid Network." In 2024 21st International SoC Design Conference (ISOCC). IEEE, 2024. http://dx.doi.org/10.1109/isocc62682.2024.10762752.

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Zhao, Xiaowei, Guoyu Zhang, and Lin Yang. "A Strategy for Estimating State-of-Charge and State-of-Health of Li-Ion Batteries in Electric and Hybrid Electric Vehicles." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87324.

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A task that has to be solved for the application of batteries in vehicles with an electric drive train is the determination of the actual state-of-health (SOH) and state-of-charge (SOC) of the battery cells. In this paper, an on board strategy for estimating SOC and SOH of Li-ion batteries is proposed. The equivalent circuit model is used for both SOC and SOH estimations. In SOH algorithm, the estimated value of battery capacity not only reflects the aging degree of battery pack, but also provides information for SOC estimation. Meanwhile, the extended Kaiman filtering is used in SOC estimatio
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Pham, Huan L., J. Eric Dietz, Douglas E. Adams, and Nathan D. Sharp. "Lithium-Ion Battery Cell Health Monitoring Using Vibration Diagnostic Test." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63962.

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With their superior advantages of high capacity and low percentage of self-discharge, lithium-ion batteries have become the most popular choice for power storage in electric vehicles. Due to the increased potential for long life of lithium-ion batteries in vehicle applications, manufacturers are pursuing methodologies to increase the reliability of their batteries. This research project is focused on utilizing non-destructive vibration diagnostic testing methods to monitor changes in the physical properties of the lithium-ion battery electrodes, which dictate the states of charge (SOC) and sta
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Acquarone, Matteo, Federico Miretti, Daniela Misul, and Simona Onori. "Sleek dual Extended Kalman Filter for Battery State of Charge and State of Health Estimation in Electric Vehicle Applications." In Conference on Sustainable Mobility. SAE International, 2024. http://dx.doi.org/10.4271/2024-24-0023.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Accurate battery state estimation is crucial for the performance, safety, and durability of electric vehicle (EV) battery management systems (BMS). The model-based dual extended Kalman filter (DEKF) has been widely used for concurrent state of charge (SOC) and state of health (SOH) estimation. However, tuning the process and measurement covariance matrices of the DEKF is challenging and typically done through a trial and error process. In this work, a sleek version of the standard DEKF is formulated relying on a second-o
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Mohan, Shankar, Youngki Kim, and Anna G. Stefanopoulou. "On Improving Battery State of Charge Estimation Using Bulk Force Measurements." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9966.

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Lithium-ion (Li-ion) batteries undergo physical deformation as their state-of-charge (SOC) changes. The physical deformation causes changes in the pressure (equivalently, force) applied at the end-plates of a constrained battery pack or module. This paper proposes the fusion of bulk force and battery voltage measurements to estimate the SOC in Li-ion battery packs. In this paper, using discrete Linear Quadratic Estimators (dLQEs), the advantage of using force measurements in addition to voltage measurement to improve SOC estimates is quantitatively studied through simulations. It is observed t
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Mendoza, Sergio, Ji Liu, Partha Mishra, and Hosam K. Fathy. "Statistical Quantification of Least-Squares Battery State of Charge Estimation Errors." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9750.

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This paper derives analytic expressions for both the mean and variance of battery state of charge (SOC) estimation error, assuming a least squares estimation law. The paper examines three sources of estimation error, namely: (i) voltage measurement errors (both bias and noise), (ii) current measurement bias, and (iii) mismatch between the order of the battery model used for estimation and the true order of the battery’s dynamics. There is already a rich literature on quantifying battery SOC estimation errors for different estimator designs. The novelty of this paper stems from its extensive ex
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Li, Yonghua, and R. Dyche Anderson. "Switching Adaptive Observer for Lithium-Ion Battery State of Charge Estimation." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6061.

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A switching adaptive observer is proposed for estimation of state of charge (SOC) for lithium ion batteries used in electrified automotive propulsion systems. The base observer includes (i) a parameter estimation subsystem including a recursive parameter estimator for identifying battery parameters and (ii) an open circuit voltage (OCV) estimation subsystem including a nonlinear adaptive observer for estimating battery OCV. A timer as well as excitation level determination decides when the ampere-hour integration based SOC or estimated OCV based SOC is used as output. Using this approach, tran
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Albay, Alp, Zhennan Zhu, and Mehmet Mercangöz. "State-of-Charge (SoC) Management of PTES Coupled Industrial Cogeneration Systems." In ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/gt2024-128921.

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Abstract We present a novel optimization-based state-of-charge (SoC) management solution for pumpedthermal energy storage (PTES) systems capable of charging and discharging with electrical power and discharging high temperature heat — for integration with industrial processes. The considered PTES system in the study uses a supercritical CO2 recuperative Brayton cycle (SCBC) utilizing molten salt and water as hot and cold storage materials respectively. A SoC balancing heat exchanger is integrated along with a utility heat exchanger to the base design to accommodate withdrawal of high temperatu
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Pattel, Bibin, Hoseinali Borhan, and Sohel Anwar. "An Evaluation of the Moving Horizon Estimation Algorithm for Online Estimation of Battery State of Charge and State of Health." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37140.

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Moving Horizon Estimation (MHE) has emerged as a powerful technique for tackling the estimation problems of the state of dynamic systems in the presence of constraints, nonlinearities and disturbances. In this paper, the Moving Horizon Estimation approach is applied in estimating the State of Charge (SoC) and State of Health (SoH) of a battery and the results are compared against those for the traditional estimation method of Extended Kalman Filter (EKF). The comparison of the results show that MHE provides improvement in performance over EKF in terms of different state initial conditions, con
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Huang, Shimeng, Jie Ding, Tianyun Hao, and Dezhi Shen. "State of Charge Estimation Based on SMA-RELM and Kalman Filter." In 2023 42nd Chinese Control Conference (CCC). IEEE, 2023. http://dx.doi.org/10.23919/ccc58697.2023.10241021.

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Reports on the topic "State of Charge (SOA)"

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Willson. L51709 Development-Test Electronic Gas Admission for Large Bore Engines. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010114.

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The pipeline industry uses over 8,000 large bore engines in gas transmission/compression service". These engines are typically gas fueled and spark ignited. Some early versions of the engines are piston scavenged, but most are turbocharged. Some models, especially those equipped for lean burn operation, utilize pre-combustion chambers for enhanced ignition. Typically, the gaseous fuel is admitted directly into the top of the engine combustion chamber by a cam-operated, mechanical gas admission valve (MGAV). The MGAV is operated by an engine driven cam, cam follower, push rod, and rocker assemb
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Shepard, K. W., and J. W. Kim. Low-charge-state linac. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/166408.

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Viswanathan, Sivaswamy, and Allen Charkey. Aircraft Battery State of Charge and Charge Control System. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada194979.

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Viswanathan, Sivaswamy, and Allen Charkey. Aircraft Battery State of Charge and Charge Control System. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada169411.

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Shepard, K. W., and J. W. Kim. Low-charge-state RFQ injector. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/166409.

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Vogel, J. S., T. Ognibene, M. Roberts, et al. Low Charge-State AMS for Biological Research. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/15013582.

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Fang, J. M. State approaches to the system benefits charge. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/508108.

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Espinosa, J. M., M. E. Martin, and A. F. Burke. Evaluation of several state-of-charge algorithms. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/6370598.

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Solaun, Kepa, Gerard Alleng, Adrián Flores, Chiquita Resomardono, Katharina Hess, and Helena Antich. State of the Climate Report: Suriname. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003398.

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Suriname is highly vulnerable to the effects of climate change. Among the factors that exacerbate its vulnerability are its dependency on fossil fuels, the degradation of important ecosystems (e.g., mangroves), and the fact that 87% of the population, and most of the countrys economic activity is located within the low-lying coastal area. Many sectors are at risk of suffering losses and damage caused by gradual changes and extreme events related to climate change. For Suriname to develop sustainably, it should incorporate climate change and its effects into its decision-making process based on
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Nolen, J. A., and J. Dooling. Charge-state enhancement for radioactive beam post-acceleration. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/166410.

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