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Journal articles on the topic 'Battery modelling'

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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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4

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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6

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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7

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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8

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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9

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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11

Capron, Odile, Joris Jaguemont, Rahul Gopalakrishnan, Peter Van den Bossche, Noshin Omar, and Joeri Van Mierlo. "Impact of the Temperature in the Evaluation of Battery Performances During Long-Term Cycling—Characterisation and Modelling." Applied Sciences 8, no. 8 (2018): 1364. http://dx.doi.org/10.3390/app8081364.

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This paper presents the results regarding the thermal characterisation and modelling of high energy lithium-ion battery cells at both room (25 °C) and cycling (35 °C) temperatures. In this work two types of Nickel Manganese Cobalt (NMC) batteries are studied: a fresh (or uncycled) and an aged (or cycled) battery cells. The ageing of the studied NMC battery cells is achieved by means of accelerated ageing tests (i.e., repetition of numerous charge and discharge cycles) at 35 °C cycling temperature. Temperature at the surface of the battery cells is characterised, with a set of three discharge c
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Morel, Christophe, Franck Pra, Trang Qyung Pham, et al. "Numerical study of two heat exchangers for the cooling of a battery pack for an electric vehicle." Open Research Europe 2 (June 20, 2022): 81. http://dx.doi.org/10.12688/openreseurope.14666.1.

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Background: The thermal management of a battery pack designed for an electric vehicle is a key to prevent accidental events and ensure a long lifespan of the batteries. A typical accident is a thermal runaway of one or more cells in the battery which can cause fire or explosion of the battery pack. This paper presents a numerical modelling of a battery pack (BP) and its heat exchanger (HE) for an electric vehicle. The heat produced in the battery is evacuated by the HE. Methods: Two different kinds of modelling have been realized: a computational fluid dynamic (CFD) modelling and a coarse (cal
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Vardhan, Rigvendra Kumar, T. Selvathai, Rajaseeli Reginald, and P. Sivakumar. "Modelling of Multi Inductor based Balancing of Battery Pack for Electrical Mobility." Defence Science Journal 69, no. 3 (2019): 266–73. http://dx.doi.org/10.14429/dsj.69.14418.

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The pre requisite for success of electrical mobility is driven by development of battery technologies. Reliable performance of electrical mobility necessitates for high energy density battery packs. The advent of Li ion cell chemistry revolutionised the electric and hybrid vehicle advancement due to its high energy density, lighter weight and wide range of temperature performance. Higher operating voltages of the battery are achieved by configuration of the cells in series and parallel combinations. The performance of these battery packs are affected by operating temperature and imperfections
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Browne, Miles H., and Arthur A. Williams. "The effect of time resolution on the modelling of domestic solar energy systems." Renewable Energy and Environmental Sustainability 8 (2023): 5. http://dx.doi.org/10.1051/rees/2023003.

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This paper investigates the modelling accuracy of small-scale solar energy systems, in particular the effect of changing the time resolution. Accurate modelling of solar energy systems is important in designing cost-effective solutions and in research into micro-grid functionality. Currently, most modelling uses a resolution of one hour when simulating the energy in small scale renewable energy systems. Within each hour, these models take an average of the load demand and solar generation values. An hourly time resolution is ignorant of the large variations in a daily load profile that result
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Chang, Fengqi, Felix Roemer, Michael Baumann, and Markus Lienkamp. "Modelling and Evaluation of Battery Packs with Different Numbers of Paralleled Cells." World Electric Vehicle Journal 9, no. 1 (2018): 8. http://dx.doi.org/10.3390/wevj9010008.

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To better evaluate the configuration of battery packs in electric vehicles (EV) in the early design phase, this paper proposes a mathematic model for the simulation of battery packs based on the elementwise calculations of matrices. This model is compatible with the different battery models and has a fast simulation speed. An experimental platform is built for the verification. Based on the proposed model and the statistic features of battery cells, the influence of the number of paralleled cells in a battery pack is evaluated in Monte-Carlo experiments. The simulation results obtained from Mo
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16

Li, Ao, Anthony Chun Yin Yuen, Wei Wang, et al. "Thermal Propagation Modelling of Abnormal Heat Generation in Various Battery Cell Locations." Batteries 8, no. 11 (2022): 216. http://dx.doi.org/10.3390/batteries8110216.

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With the increasing demand for energy capacity and power density in battery systems, the thermal safety of lithium-ion batteries has become a major challenge for the upcoming decade. The heat transfer during the battery thermal runaway provides insight into thermal propagation. A better understanding of the heat exchange process improves a safer design and enhances battery thermal management performance. This work proposes a three-dimensional thermal model for the battery pack simulation by applying an in-house model to study the internal battery thermal propagation effect under the computatio
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Kurdve, Martin, Mats Zackrisson, Mats I. Johansson, Burcak Ebin, and Ulrika Harlin. "Considerations when Modelling EV Battery Circularity Systems." Batteries 5, no. 2 (2019): 40. http://dx.doi.org/10.3390/batteries5020040.

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The electric vehicle market is expected to grow substantially in the coming years, which puts new requirements on the end-of-life phase and on the recycling systems. To a larger extent, the environmental footprint from these vehicles is related to raw material extraction and production, and, consequently, a material- and energy-efficient 3R system (reuse, remanufacturing, recycling) is urgently needed. The ability to understand and model the design and development of such a system therefore becomes important. This study contributes to this by identifying factors that affect 3R system design an
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18

Jabri, Ihssen, Adel Bouallegue, and Fethi Ghodbane. "Analysis and modelling of wireless battery charger." International Journal of Power Electronics 10, no. 3 (2019): 212. http://dx.doi.org/10.1504/ijpelec.2019.099338.

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GHODHBANE, FETHI, ADEL BOUALLEGUE, and IHSSEN JABRI. "Analysis and Modelling of wireless battery charger." International Journal of Power Electronics 10, no. 3 (2019): 1. http://dx.doi.org/10.1504/ijpelec.2019.10017810.

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20

Tsang, K. M., L. Sun, and W. L. Chan. "Identification and modelling of Lithium ion battery." Energy Conversion and Management 51, no. 12 (2010): 2857–62. http://dx.doi.org/10.1016/j.enconman.2010.06.024.

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21

Malozyomov, Boris V., Nikita V. Martyushev, Svetlana N. Sorokova, Egor A. Efremenkov, Denis V. Valuev, and Mengxu Qi. "Mathematical Modelling of Traction Equipment Parameters of Electric Cargo Trucks." Mathematics 12, no. 4 (2024): 577. http://dx.doi.org/10.3390/math12040577.

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Electric vehicles are one of the most innovative and promising areas of the automotive industry. The efficiency of traction equipment is an important factor in the operation of an electric vehicle. In electric vehicles, the energy stored in the battery is converted into mechanical energy to drive the vehicle. The higher the efficiency of the battery, the less energy is lost in the conversion process, which improves the overall energy efficiency of the electric vehicle. Determining the performance characteristics of the traction battery of an electric vehicle plays an important role in the sele
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Kedar Narayan Bairwa, Anindita Roy, Komal Mohan Garse,. "Hybrid Random Forest Regression and Artificial Neural Networks for Modelling and Monitoring the State of Health of Li-Ion Battery." Journal of Electrical Systems 20, no. 2 (2024): 2231–43. http://dx.doi.org/10.52783/jes.1990.

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Lithium-ion batteries play a significant role in modern energy storage systems for a number of applications, including renewable energy installations, electric cars, and portable devices. In order to guarantee the long-term dependability and safety of these battery packs, comprehensive modelling and monitoring approaches are required for accurate State of Health (SoH) evaluation. This research suggests an innovative strategy that combines the strengths of Random Forest Regression (RFR) and Artificial Neural Networks (ANN) for reliable Li-ion battery SoH modelling and monitoring. The research s
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23

Mačák, Martin, Tomáš Kazda, Kamil Jasso, and Petr Vyroubal. "Equivalent Circuit Modelling of Li-S Batteries." ECS Transactions 105, no. 1 (2021): 609–16. http://dx.doi.org/10.1149/10501.0609ecst.

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The presented article describes a Multi-Scale Multi-Domain model of a Li-S battery using an equivalent circuit model consisting of R-C pairs. The parameters of the equivalent circuit model were obtained by fitting experimentally measured results from electrochemical impedance spectroscopy at various states of charge. Simulation were carried out for discharging as well as for charging of the battery. The presented model is able to capture characteristic behaviour of Li-S batteries.
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Kulkarni, Shraddha Suhas, Filip Vysoudil, and Thomas Vietor. "Evaluation of Modelling and Simulation Strategies to Investigate the Mechanical Integrity of a Battery Cell Using Finite Element Methods." Energies 14, no. 11 (2021): 2976. http://dx.doi.org/10.3390/en14112976.

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The mechanical integrity of a lithium ion battery cell can be evaluated using finite element (FE) simulation techniques. In this study, different FE modelling approaches including heterogeneous, homogeneous, hybrid and sandwich methods are presented and analysed. The basic capabilities of the FE-methods and their suitability to simulate a real mechanical safety test procedures on battery cells are investigated by performing a simulation of a spherical indentation test on a sample pouch cell. For each modelling approach, one battery cell model was created. In order to observe the system behavio
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Liu, Yiqun, Y. Gene Liao, and Ming-Chia Lai. "Lithium-Ion Polymer Battery for 12-Voltage Applications: Experiment, Modelling, and Validation." Energies 13, no. 3 (2020): 638. http://dx.doi.org/10.3390/en13030638.

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Modelling, simulation, and validation of the 12-volt battery pack using a 20 Ah lithium–nickel–manganese–cobalt–oxide cell is presented in this paper. The cell characteristics influenced by thermal effects are also considered in the modelling. The parameters normalized directly from a single cell experiment are foundations of the model. This approach provides a systematic integration of actual cell monitoring with a module model that contains four cells connected in series. The validated battery module model then is utilized to form a high fidelity 80 Ah 12-volt battery pack with 14.4 V nomina
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Börjesson Axén, Jenny, Henrik Ekström, Erika Widenkvist Zetterström, and Göran Lindbergh. "Modelling Nickel Metal Hydride Batteries for System Integrated Applications." ECS Meeting Abstracts MA2022-02, no. 1 (2022): 4. http://dx.doi.org/10.1149/ma2022-0214mtgabs.

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The NiMH battery is resilient against mistreatment and can be charged in a large temperature window. It also has a high power-capability, which has made it popular in for instance power tools. Today, the battery is often found in large scale stationary energy storage, as well as applications which require high power capability. In large scale energy storage, small differences in run cycles can have large total effects on power efficiency and safety. It is therefore desirable to develop better methods of battery management. In recent years, development in system hardware has made it possible to
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Kubendran, V., Y. Mohamed Shuaib, and J. Preetha Roselyn. "Modelling of Vehicle Dynamics and Determination of Energy Demand for Electric Vehicle." Journal of Physics: Conference Series 2335, no. 1 (2022): 012049. http://dx.doi.org/10.1088/1742-6596/2335/1/012049.

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Abstract The WLTP Class 3 driving cycle is used in this article for the design of a battery and super-capacitor for electric vehicles. The energy demand for electric vehicle is calculated using WLTP drive cycle and the total power required for electric vehicle is calculated by calculating tractive force. A hybrid energy storage system (HESS) overcomes numerous shortcomings of a battery energy storage system (BESS), including reduced battery life, limited power density, etc. In a proposed system, a Li-Ion battery is coupled with a super-capacitor/Ultra-capacitor as a bidirectional converter, wh
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VODOUNNOU, Edmond Claude, Cossi Telesphore NOUNANGNONHOU, Houêchénè Roger AHOUANSOU, Guy Clarence SEMASSOU, and IMOROU KARIM Adam. "Modelling and Simulation of the Lifetime of Saturated Batteries in Real Operating Conditions." Journal of Scientific and Engineering Research 10, no. 5 (2023): 22–33. https://doi.org/10.5281/zenodo.10457494.

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<strong>Abstract </strong>This work consists of predicting the lifetime of stationary batteries, in particular the lead acid battery, under real operating conditions. This was made possible by the mathematical model of Schiffer et al, which takes into account the corrosion, degradation of the active material, depth of discharge, acid stratification, and gassing that take place inside the battery during its operation. The model determines the remaining capacity coefficient of the battery for a given operating time. This coefficient allowed to deduce the end of life of the battery. Indeed, the b
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Kaleli, Ali Rıza, and Alptekin Türkkan. "ESTIMATION OF ELECTRIC VEHICLE MULTIPLE PACKAGE LITHIUM-ION BATTERY STATE OF CHARGE USING AN EXTENDED MACHINE LEARNING." Uludağ University Journal of The Faculty of Engineering 30, no. 1 (2025): 231–44. https://doi.org/10.17482/uumfd.1595646.

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The estimation of battery state-of-charge (SOC) in electric or hybrid vehicle has vital importance in the designing process of battery management systems. The state-of-charge estimation is implemented using different modelling approaches, model-based estimators such as Kalman filtering and Luenberger observer and data-driven based modelling techniques like artificial neural network and machine learning methods. This study aimed to develop a battery state-of-charge estimation method and proposed a novel architecture for multiple battery back SOC estimation using an extended learning machine (EL
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Zhu, Tao, Mehmet Kirca, Shilei Zhou, Truong Dinh, and Andrew McGordon. "Thermal Management for Electric Motorcycles—Multi-Scale Modelling and Battery Thermal Design Evaluation." Applied Sciences 15, no. 5 (2025): 2713. https://doi.org/10.3390/app15052713.

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Electric motorcycles feature a smaller size and lower weight than electric cars, meaning they have greater manoeuvrability and energy efficiency, which translate to a dynamic riding experience and reduced environmental footprint. From a thermal management perspective, one major challenge is how to maximise the heat dissipation efficiency of the battery system within the limited space available onboard since the battery system represents one of the largest thermal loads onboard. This paper investigates electric motorcycle modelling to facilitate prototype development, emphasising a compact, int
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Neelima, Y., L. Ashok, T. Supraja, and D. Sushmitha. "MODELLING AND CONTROL OF RURAL PV MICRO GRID USING FUZZY LOGIC CONTROLLER." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 3 (2020): 2654–61. http://dx.doi.org/10.61841/turcomat.v11i3.14469.

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This paper proposes an approach for the hybrid solar photovoltaic and Battery management for stand-alone applications. Battery charging process is non-linear, time-varying with a considerable time delay so it is difficult to achieve the best energy management performance by using traditional control approaches. A fuzzy control strategy for battery charging or discharging used in a renewable power generation system is analyzed in the paper. To improve the life cycle of the battery, fuzzy control manages the desired state of charge. A fuzzy logic-based controller to be used for the Battery SOC c
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Salek, Farhad, Aydin Azizi, Shahaboddin Resalati, Paul Henshall, and Denise Morrey. "Mathematical Modelling and Simulation of Second Life Battery Pack with Heterogeneous State of Health." Mathematics 10, no. 20 (2022): 3843. http://dx.doi.org/10.3390/math10203843.

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The service life of Lithium-ion batteries disposed from electric vehicles, with an approximate remaining capacity of 75–80%, can be prolonged with their adoption in less demanding second life applications such as buildings. A photovoltaic energy generation system integrated with a second life battery energy storage device is modelled mathematically to assess the design’s technical characteristics. The reviewed studies in the literature assume, during the modelling process, that the second life battery packs are homogeneous in terms of their initial state of health and do not consider the modul
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Das, Abhishek, Richard Beaumont, Iain Masters, and Paul Haney. "Macro-Modelling of Laser Micro-Joints for Understanding Joint Strength in Electric Vehicle Battery Interconnects." Materials 14, no. 13 (2021): 3552. http://dx.doi.org/10.3390/ma14133552.

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Laser micro-welding is increasingly being used to produce electrically conductive joints within a battery module of an automotive battery pack. To understand the joint strength of these laser welds at an early design stage, micro-joints are required to be modelled. Additionally, structural modelling of the battery module along with the electrical interconnects is important for understanding the crash safety of electric vehicles. Fusion zone based micro-modelling of laser welding is not a suitable approach for structural modelling due to the computational inefficiency and the difficulty of inte
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Büttner, Nils, Foelke Purr, Clara Sangrós Giménez, et al. "Electrochemical Modelling of Na-MCl2 Battery Cells Based on an Expanded Approximation Method." Batteries 9, no. 4 (2023): 200. http://dx.doi.org/10.3390/batteries9040200.

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Battery models are mathematical systems that aim to simulate real battery cell sufficiently accurately. Finding a comprise between complexity, computational effort and accuracy is thereby key. In particular, modelling sodium–nickel–chloride/iron-chloride cells (Na-NiCl2/FeCl2), as a promising alternative for stationary energy storage, bears some challenges. The literature shows a few interesting approaches, but in most of them the second active material (NiCl2 or FeCl2) or the entire discharging/charging cycle is not considered. In this work, an electrochemical and thermal model of Na-NiCl2/Fe
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Suti, Aleksander, Gianpietro Di Rito, and Giuseppe Mattei. "Development and Experimental Validation of Novel Thevenin-Based Hysteretic Models for Li-Po Battery Packs Employed in Fixed-Wing UAVs." Energies 15, no. 23 (2022): 9249. http://dx.doi.org/10.3390/en15239249.

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Lithium batteries employed in lightweight fixed-wing UAVs are required to operate with large temperature variations and, especially for the emerging applications in hybrid propulsion systems, with relevant transient loads. The detailed dynamic modelling of battery packs is thus of paramount importance to verify the feasibility of innovative hybrid systems, as well as to support the design of battery management systems for safety/reliability enhancement. This paper deals with the development of a generalised approach for the dynamic modelling of battery packs via Thevenin circuits with modular
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Martí-Florences, Miquel, Andreu Cecilia, and Ramon Costa-Castelló. "Modelling and Estimation in Lithium-Ion Batteries: A Literature Review." Energies 16, no. 19 (2023): 6846. http://dx.doi.org/10.3390/en16196846.

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Lithium-ion batteries are widely recognised as the leading technology for electrochemical energy storage. Their applications in the automotive industry and integration with renewable energy grids highlight their current significance and anticipate their substantial future impact. However, battery management systems, which are in charge of the monitoring and control of batteries, need to consider several states, like the state of charge and the state of health, which cannot be directly measured. To estimate these indicators, algorithms utilising mathematical models of the battery and basic meas
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Schweighofer, Lukas, Bernd Eschelmüller, Katja Fröhlich, Wilhelm Pfleging, and Franz Pichler. "Modelling and Optimisation of Laser-Structured Battery Electrodes." Nanomaterials 12, no. 9 (2022): 1574. http://dx.doi.org/10.3390/nano12091574.

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An electrochemical multi-scale model framework for the simulation of arbitrarily three-dimensional structured electrodes for lithium-ion batteries is presented. For the parameterisation, the electrodes are structured via laser ablation, and the model is fit to four different, experimentally electrochemically tested cells. The parameterised model is used to optimise the parameters of three different pattern designs, namely linear, gridwise, and pinhole geometries. The simulations are performed via a finite element implementation in two and three dimensions. The presented model is well suited to
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38

Shakhov, Vladimir, and Insoo Koo. "Depletion-of-Battery Attack: Specificity, Modelling and Analysis." Sensors 18, no. 6 (2018): 1849. http://dx.doi.org/10.3390/s18061849.

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39

Erfurt, V., W. Braun, R. Spatschek, and L. Singheiser. "Modelling of Processes inside a Rechargeable Oxide Battery." ECS Transactions 72, no. 36 (2016): 15–34. http://dx.doi.org/10.1149/07236.0015ecst.

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Madani, Seyed Saeed, Erik Schaltz, and Søren Knudsen Kær. "Thermal Modelling of a Lithium Titanate Oxide Battery." ECS Transactions 87, no. 1 (2018): 315–26. http://dx.doi.org/10.1149/08701.0315ecst.

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Catherino, Henry A., Joseph F. Burgel, Andrew Rusek, and Fred Feres. "Modelling and simulation of lead-acid battery charging." Journal of Power Sources 80, no. 1-2 (1999): 17–20. http://dx.doi.org/10.1016/s0378-7753(98)00248-1.

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42

Stoynov, Z., T. Nishev, V. Vacheva, and N. Stamenova. "Nonstationary analysis and modelling of battery load performance." Journal of Power Sources 64, no. 1-2 (1997): 189–92. http://dx.doi.org/10.1016/s0378-7753(96)02520-7.

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Baronti, Federico, Nicola Femia, Roberto Saletti, Ciro Visone, and Walter Zamboni. "Preisach modelling of lithium-iron-phosphate battery hysteresis." Journal of Energy Storage 4 (December 2015): 51–61. http://dx.doi.org/10.1016/j.est.2015.09.004.

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44

Li, Jindong, Zhigang Guo, Chengzhi Deng, et al. "Lead air battery: Prototype design and mathematical modelling." Journal of Energy Storage 26 (December 2019): 100832. http://dx.doi.org/10.1016/j.est.2019.100832.

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45

Ovrum, E., and T. F. Bergh. "Modelling lithium-ion battery hybrid ship crane operation." Applied Energy 152 (August 2015): 162–72. http://dx.doi.org/10.1016/j.apenergy.2015.01.066.

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46

M, Shivabharath Kumar, Vishnu Bharathi K, and Kavin V. "Modelling and Analysis of Lithium-IoN Battery Pack." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 541–45. http://dx.doi.org/10.22214/ijraset.2023.51537.

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Abatract: As one of the most widely used energy storage technologies, lithium-ion batteries (LIB) play a significant role in modern society. The effectiveness of LIB is significantly impacted by thermal management. Phase change material (PCM)-based phase change cooling has emerged as a promising approach since it has a large latent heat and doesn't require additional pump power. In this study, phase change cooling with PCM has been used to numerically and experimentally analyse the thermal performance of a battery module containing 25 parallel 18650 lithium-ion batteries. First, in order to co
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Zhou, Zihao, and David A. Howey. "Bayesian hierarchical modelling for battery lifetime early prediction." IFAC-PapersOnLine 56, no. 2 (2023): 6117–23. http://dx.doi.org/10.1016/j.ifacol.2023.10.708.

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48

Mohajer, Sara, Jocelyn Sabatier, Patrick Lanusse, and Olivier Cois. "Electro-Thermal and Aging Lithium-Ion Cell Modelling with Application to Optimal Battery Charging." Applied Sciences 10, no. 11 (2020): 4038. http://dx.doi.org/10.3390/app10114038.

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This paper deals with optimal charging versus aging minimization for lithium-ion batteries. The optimal charging strategy proposed involves charging controllers whose design relies on a battery model. The model, especially designed for automotive battery management systems applications, is recalled in this paper. It provides the voltage response of a cell to an input current. It also models side reactions that produce degradation mechanisms and thus decrease battery performance. Side reaction modelling involves taking into account the temperature cell variations, which are thus also modelled.
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Ariza Chacón, H., Edison Banguero, Antonio Correcher, Ángel Pérez-Navarro, and Francisco Morant. "Modelling, Parameter Identification, and Experimental Validation of a Lead Acid Battery Bank Using Evolutionary Algorithms." Energies 11, no. 9 (2018): 2361. http://dx.doi.org/10.3390/en11092361.

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Accurate and efficient battery modeling is essential to maximize the performance of isolated energy systems and to extend battery lifetime. This paper proposes a battery model that represents the charging and discharging process of a lead-acid battery bank. This model is validated over real measures taken from a battery bank installed in a research center placed at “El Chocó”, Colombia. In order to fit the model, three optimization algorithms (particle swarm optimization, cuckoo search, and particle swarm optimization + perturbation) are implemented and compared, the last one being a new propo
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Tang, Ao, Jie Bao, and Maria Skyllas-Kazacos. "Thermal modelling of battery configuration and self-discharge reactions in vanadium redox flow battery." Journal of Power Sources 216 (October 2012): 489–501. http://dx.doi.org/10.1016/j.jpowsour.2012.06.052.

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