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Relevant bibliographies by topics / Battery modelling

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Academic literature on the topic 'Battery modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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Journal articles on the topic "Battery modelling"

1

Mangione, Giulia. "Oxford Battery Modelling Symposium." Johnson Matthey Technology Review 63, no. 4 (2019): 285–88. http://dx.doi.org/10.1595/205651319x15671717887271.

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SHELAKE, SANDHYARANI S., ATUL R. DESAI, ATUL J. PATIL, MEGHARANI B. DHARME, and NIKHIL B. KHANDEKAR. "POWER MODELLING OF L.C.D. DISPLAY." JournalNX - A Multidisciplinary Peer Reviewed Journal NCMTEE-2K17 (March 26, 2017): 43–46. https://doi.org/10.5281/zenodo.1451233.

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Now days most of embedded system used are battery operated. To predict the battery life, power consumption at various levels, like software and power taken by peripheral devices should be known in advance. The components of total power consumption are software power & power taken by peripheral devices these should be known to the designer. In this paper for prediction the modelling of L.C.D. by using statistical tools i.e. regression analysis. Here we must understand how much power required to display a particular character https://journalnx.com

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Ali, Mir A., Carlos M. Da Silva, and Cristina H. Amon. "Multiscale Modelling Methodologies of Lithium-Ion Battery Aging: A Review of Most Recent Developments." Batteries 9, no. 9 (2023): 434. http://dx.doi.org/10.3390/batteries9090434.

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Lithium-ion batteries (LIBs) are leading the energy storage market. Significant efforts are being made to widely adopt LIBs due to their inherent performance benefits and reduced environmental impact for transportation electrification. However, achieving this widespread adoption still requires overcoming critical technological constraints impacting battery aging and safety. Battery aging, an inevitable consequence of battery function, might lead to premature performance losses and exacerbated safety concerns if effective thermo-electrical battery management strategies are not implemented. Batt

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Tamilselvi, S., S. Gunasundari, N. Karuppiah, et al. "A Review on Battery Modelling Techniques." Sustainability 13, no. 18 (2021): 10042. http://dx.doi.org/10.3390/su131810042.

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The growing demand for electrical energy and the impact of global warming leads to a paradigm shift in the power sector. This has led to the increased usage of renewable energy sources. Due to the intermittent nature of the renewable sources of energy, devices capable of storing electrical energy are required to increase its reliability. The most common means of storing electrical energy is battery systems. Battery usage is increasing in the modern days, since all mobile systems such as electric vehicles, smart phones, laptops, etc., rely on the energy stored within the device to operate. The

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Muhammad Fikri Irsyad Mat Razi, Zul Hilmi Che Daud, Zainab Asus, Izhari Izmi Mazali, Anuar Abu Bakar, and Mohd Kameil Abdul Hamid. "Li-NMC Temperature Modelling Based on Realistic Internal Resistance." CFD Letters 16, no. 12 (2024): 140–48. http://dx.doi.org/10.37934/cfdl.16.12.140148.

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Lithium-ion battery (LIB) produce heat when it is put under charging and discharging process. The heat generated during charging and discharging are directly related to the internal in the battery. This heat generation will cause the battery temperature to rise. The operating temperature for LIB is significantly important because its affect the performance and health of the battery. Gathering battery thermal behavior through experiment is a time consuming, high cost and a fussy process. The process can be made easier through battery thermal modelling. The purpose of this study is to provide a

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E, Harikrishnan. "BATTERY MODELLING APPROACHES FOR ELECTRIC VEHICLES: A SYSTEMATIC REVIEW." International Journal of Engineering Applied Sciences and Technology 7, no. 4 (2022): 45–55. http://dx.doi.org/10.33564/ijeast.2022.v07i04.005.

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In order to address issues with a sustainable energy supply and environmental pollution, electric and hybrid electric cars are quickly gaining acceptance as effective methods of decarbonizing the transportation industry. It is crucial to establish a proper battery model that accurately predicts battery behavior under varied operating scenarios to prevent operating batteries dangerously and create good regulating algorithms and maintenance plans. The battery model systems must be aware of two crucial internal parameters: state of charge (SoC) and state of health (SoH). A battery model uses appr

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Hammad, N. M. "Automotive Battery Modelling a nd Management." Journal of Engineering Science and Technology Review 4, no. 2 (2011): 140–45. http://dx.doi.org/10.25103/jestr.042.05.

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Fomenko, Nikita S., Aleksandr S. Grigoryev, and Andrei S. Dinisilov. "Features of Lead-Acid Battery Modelling." Electrochemical Energetics 19, no. 2 (2019): 81–89. http://dx.doi.org/10.18500/1608-4039-2019-19-2-81-89.

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Mohammed, G., P. Srividya Devi, G. Durgadevi, R. Subramani, and Saif O. Husain. "Energy Storage System Modelling For Hybrid Electric Vehicle." E3S Web of Conferences 564 (2024): 02012. http://dx.doi.org/10.1051/e3sconf/202456402012.

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The equivalent circuit model (ECM)-based traditional state-of-charge (SoC) estimate approaches combine all state variables into a single enhanced state vector. However, the stability and accuracy of the estimates are compromised by the correlations between RC voltages and SOC. In this article, the four battery chemistries have been discussed for their state variable characterization i.e. state of charge (SOC). The battery types considered are lead acid, nickel metal hydride, lithium ion. The manufacturer’s battery discharge curves are used to determine the model parameters, and a method is als

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Shah, Akhter Hussain. "Modelling and Control of Wind PV Battery Fuelcell based Hybrid Power System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 8–13. http://dx.doi.org/10.31142/ijtsrd12950.

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Dissertations / Theses on the topic "Battery modelling"

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BoÌˆgel, Ernst Wolfgang. "Battery modelling for traction applications." Thesis, Coventry University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319841.

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Rydberg, Lova. "RTDS modelling of battery energy storage system." Thesis, Uppsala universitet, Elektricitetslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155960.

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This thesis describes the development of a simplified model of a battery energy storage. The battery energy storage is part of the ABB energy storage system DynaPeaQ®. The model has been built to be run in RTDS, a real time digital simulator. Batteries can be represented by equivalent electric circuits, built up of e.g voltage sources and resistances. The magnitude of the components in an equivalent circuit varies with a number of parameters, e.g. state of charge of the battery and current flow through the battery. In order to get a model of how the resistive behaviour of the batteries is infl

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Georén, Peter. "Characterisation and modelling of lithium-ion battery electrolytes." Doctoral thesis, KTH, Chemical Engineering and Technology, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3650.

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<p>Rechargeable batteries play an important role as energycarriers in our modern society, being present in wirelessdevices for everyday use such as cellular phones, video camerasand laptops, and also in hybrid electric cars. The batterytechnology dominating the market today is the lithium-ion(Li-ion) battery. Battery developments, in terms of improvedcapacity, performance and safety, are major tasks for bothindustry and academic research. The performance and safety ofthese batteries are greatly influenced by transport andstability properties of the electrolyte; however, both haveproven difficu

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von, Srbik Marie-Therese. "Advanced lithium-ion battery modelling for automotive applications." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/51498.

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A novel electrical circuit analogy is proposed to model electrochemical systems under realistic automotive operation conditions. The model is developed for a lithium ion battery and is based on a pseudo 2D electrochemical model. It calculates the evolution of species concentration distribution and diffusion for a given current load, as a result of electrochemical reactions. The application example is an automotive system, in which results are obtained at a rate faster than real-time and well within the accuracy requirements of a typical Battery Management System (BMS). This is the first Equiva

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Chaouachi, Oumaima. "Up-scaling methodology for lithium-ion battery modelling." Thesis, Université Grenoble Alpes, 2021. http://www.theses.fr/2021GRALI011.

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La technologie des batteries Lithium-ion bénéficie aujourd'hui d'un grand succès et est largement utilisée dans diverses technologies portatives, pour le transport et les réseaux. Néanmoins, au vue de la diversité des chimies des batteries Li-ion et des nombreux mécanismes de vieillissement, il est primordial pour les concepteursde modules de batterie d'avoir recours à la simulation des performances et du vieillissement afin de satisfaire le cahier des charges desmodules développés. Les cellules Li-ions sont des systèmes multi-physiques par essence, où des modifications aux échelles microscopi

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Farrell, Troy W. "The mathematical modelling of primary alkaline battery cathodes." Thesis, Queensland University of Technology, 1998.

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Alipour, Mohammad. "Modelling Adoption Behaviour of Home Battery and Solar PV Systems." Thesis, Griffith University, 2022. http://hdl.handle.net/10072/418273.

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Residential solar photovoltaic (PV) systems are a key contributor to the ongoing transition to renewable energy supply chain systems for addressing the onslaught of climate challenges. With the costs of small-scale PV systems reaching grid parity, it is making up a significant proportion of supply in many countries. Generating electricity from PV arrays at the point of demand curbs the necessity to transfer power over long distances through an expensive grid infrastructure. Behind the rich spectrum of benefits rendered to all sides, however, is the rising socio-technical challenges that stem f

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Wang, Chang. "Mathematical modelling of lithium intercalation dynamics in battery electrodes." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:2e259d53-c9f1-4d1f-8aa9-48e857ad553b.

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This thesis discusses mathematical models for phase separation pattern in electrode materials for lithium ion batteries. The material is assumed to be composed of discrete "compartments", which might model individual particles in nanoparticle Lithium Iron Phosphate cathode material, for example, or individual layers in graphite anode material. We first present deterministic ODE models to describe quasi-equilibrium and out-of-equilibrium lithiation/delithiation of such systems. In sequence, we examine a single compartment under voltage-control, a multicompartment system under current-control, a

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Canals, Casals Lluc. "Modelling Li-ion battery aging for second life business models." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/462106.

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Electric vehicles are, slowly but steadily, entering into the automotive market. The slow entry is caused, basically, by the high cost of their batteries. Additionally, electric vehicle batteries are considered not useful for traction purposes when they have lost between 20 or 30% of its capacity. At this point, batteries should be recycled by the phew companies capable to do so in Europe, knowing that management of batteries as industrial waste until the recycling factory costs money. In the search of economical incentives and trying to eliminate the recycling costs, the idea of electric vehi

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Samba, Ahmadou. "Battery electrical vehicles analysis of thermal modelling and thermal management." Caen, 2015. http://www.theses.fr/2015CAEN2003.

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L’avancée de la recherche sur les batteries a conduit à une utilisation massive des batteries Lithium-ion de grande capacité dans les véhicules électriques. De tels designs, en grand format, ont l'avantage de réduire le nombre de cellules interconnectées dans les packs de batteries. Dans les applications de transport, le temps de recharge des batteries constitue un frein au développement des véhicules électriques. L'augmentation du courant de charge peut soumettre à la batterie à des situations très critiques et peut ainsi entrainer une augmentation considérable de sa température. En long term

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Books on the topic "Battery modelling"

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S, Kruijt Wanda, and Notten P. H. L, eds. Battery management systems: Design by modelling. Kluwer Academic, 2002.

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name, No. Battery management systems: Design by modelling. Kluwer Academic, 2002.

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A. Shah, Akeel, Puiki Leung, Qian Xu, Pang-Chieh Sui, and Wei Xing. New Paradigms in Flow Battery Modelling. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2524-7.

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Barcellona, Simone, ed. Battery Modelling, Applications, and Technology. MDPI, 2024. http://dx.doi.org/10.3390/books978-3-7258-0606-5.

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Bergveld, H. J., W. S. Kruijt, and P. H. L. Notten. Battery Management Systems: Design by Modelling. Springer London, Limited, 2013.

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Battery Management Systems Design By Modelling. Kluwer Academic Publishers, 2010.

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Sui, Pang-Chieh, Akeel Shah, and Puiki Leung. New Paradigms in Flow Battery Modelling. Springer, 2023.

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LAND.TECHNIK 2022. VDI Verlag, 2022. http://dx.doi.org/10.51202/9783181023952.

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INHALT Electrical Agricultural Machines Structuring of electrified agricultural machine systems – Diversity of solutions and analysis methods .....1 GridCON2 – Development of a Cable Drum Vehicle Concept to Power 1MW Fully Electric Agricultural Swarms ..... 11 GridCON Swarm – Development of a Grid Connected Fully Autonomous Agricultural Production System ..... 17 Fully electric Tractor with 1000 kWh battery capacity ..... 23 Soil and Modelling The Integration of a Scientific Soil Compaction Risk Indicator (TERRANIMO) into a Holistic Tractor and Implement Optimization System (CEMOS) .....29 Ide

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Book chapters on the topic "Battery modelling"

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Bergveld, Henk Jan, Wanda S. Kruijt, and Peter H. L. Notten. "Battery modelling." In Battery Management Systems. Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-017-0843-2_4.

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Trattnig, Gernot, and Werner Leitgeb. "Battery Modelling for Crash Safety Simulation." In Automotive Battery Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02523-0_2.

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Pichler, Franz, and Martin Cifrain. "Application-Related Battery Modelling: From Empirical to Mechanistic Approaches." In Automotive Battery Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02523-0_4.

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Gemma, Maria Ausilia, and Donata Nicolosi. "Battery Modelling in Embedded Systems." In Microelectronics and Microsystems. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0671-5_5.

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Pichler, Franz, and Martin Cifrain. "Erratum to: Application-Related Battery Modelling: From Empirical to Mechanistic Approaches." In Automotive Battery Technology. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02523-0_8.

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Ron, Akansh, Kaushal N. Kulkarni, P. S. Pranav Kesavan, Nishant Mathu, and C. M. Sangamesh. "Thermal Modelling of Lithium-Ion Battery." In Recent Advances in Thermal Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3648-5_20.

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Vlach, R. "Thermal Modelling of Powerful Traction Battery Charger." In Mechatronics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23244-2_21.

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Morganti, Manlio Valerio, Stefano Longo, Marko Tirovic, Daniel J. Auger, and Raja Mazuir Shah Bin Raja Ahsan. "Modular Battery Cell Model for Thermal Management Modelling." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75677-6_8.

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Kaj, Ingemar, and Victorien Konané. "Analytical and Stochastic Modelling of Battery Cell Dynamics." In Analytical and Stochastic Modeling Techniques and Applications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30782-9_17.

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Nuhic, Mirza, and Guangya Yang. "Battery Energy Storage System Modelling in DIgSILENT PowerFactory." In Power Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54124-8_7.

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Conference papers on the topic "Battery modelling"

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Srivastava, Yashi, Muntather Almusawi, Kanchan Yadav, et al. "Soc Estimation & Battery Modelling for HEV." In 2024 1st International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI). IEEE, 2024. https://doi.org/10.1109/icscai61790.2024.10866061.

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Eshiemogie, Stanley Aimhanesi, Ritesh Kumar, and Chibueze V. Amanchukwu. "Data Preprocessing and Machine Learning Modelling for Battery Electrolyte Discovery." In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG). IEEE, 2024. http://dx.doi.org/10.1109/seb4sdg60871.2024.10630085.

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Ghosh, Shreyasee, Kantipudi VVSR Chowdary, and Subrat Behera. "Modelling and Simulation of Lithium-Ion Battery with Thermal Dependence." In 2025 3rd IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA). IEEE, 2025. https://doi.org/10.1109/icidea64800.2025.10962970.

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Pandey, Saurabh, Bheemaiah Chikondra, and Vijay Kumar Singh. "Modelling and Identification of Lithium-Ion Battery Using Relay Feedback Response." In 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2024. https://doi.org/10.1109/pedes61459.2024.10961489.

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Hao, Shangyou. "An Evaluation of Battery Energy Storage Dispatch Strategies." In Modelling and Simulation. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.735-081.

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Ke, Ming-Yang, Yu-Hsiang Chiu, and Chi-Yao Wu. "Battery Modelling and SOC Estimation of a LiFePO4 Battery." In 2016 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2016. http://dx.doi.org/10.1109/is3c.2016.63.

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Durganjali, C. Santhi, Harini Raghavan, and Sudha Radhika. "Modelling and Performance Analysis of Different Types of Li-Ion Battery." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24404.

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Abstract Lithium ion batteries are at present, the most widely used battery technology in the world. Every battery’s performance is characterized by certain parameters like the State of Charge, and Depth of Discharge, C-rate etc. To explore the possibility of more efficient types of Li-ion batteries for more applications a wide demand in identifying, modeling and testing of different possible combinations of electrode materials and electrolytes of Li-ion batteries arose. Taking this demand into consideration authors of this paper focus on the modeling and simulation of a wide variety of possib

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Prakash, E., G. Rudissh Kanna, S. Kaarthi, B. Dharani Prasaad, and D. Mahesh Kumar. "Modelling of battery thermal management system for improved battery efficiency." In PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON FRONTIER OF DIGITAL TECHNOLOGY TOWARDS A SUSTAINABLE SOCIETY. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0113915.

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Wan, Lei. "Modelling and analysis of power battery." In XVI INTERNATIONAL CONFERENCE ON LUMINESCENCE AND LASER PHYSICS DEVOTED TO THE 100TH ANNIVERSARY OF IRKUTSK STATE UNIVERSITY. Author(s), 2019. http://dx.doi.org/10.1063/1.5089069.

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Liu, Siwei, Andrew Forsyth, and Rebecca Todd. "Battery Loss Modelling Using Equivalent Circuits." In 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2019. http://dx.doi.org/10.1109/ecce.2019.8912542.

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Reports on the topic "Battery modelling"

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Daroux, M. L., B. D. Cahan, and E. B. Yeager. Theoretical Modelling of Cell and Battery Characteristics at Short Times/High Frequencies. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada198741.

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An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-0741.

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Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for th

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