Relevant bibliographies by topics / Lithium, Ion, battery systems

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

Academic literature on the topic 'Lithium, Ion, battery systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Lithium, Ion, battery systems"

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Horiba, Tatsuo. "Lithium-Ion Battery Systems." Proceedings of the IEEE 102, no. 6 (June 2014): 939–50. http://dx.doi.org/10.1109/jproc.2014.2319832.

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Raeber, M., A. Heinzelmann, and A. Taeschler. "Beneficial Effects of Active Charge Balancing in Lithium-Ion Battery Systems." Journal of Clean Energy Technologies 4, no. 3 (2015): 225–28. http://dx.doi.org/10.7763/jocet.2016.v4.285.

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Rajanna, B. V., and Malligunta Kiran Kumar. "Comparison of one and two time constant models for lithium ion battery." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 1 (February 1, 2020): 670. http://dx.doi.org/10.11591/ijece.v10i1.pp670-680.

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The fast and accurate modeling topologies are very much essential for power train electrification. The importance of thermal effect is very important in any electrochemical systems and must be considered in battery models because temperature factor has highest importance in transport phenomena and chemical kinetics. The dynamic performance of the lithium ion battery is discussed here and a suitable electrical equivalent circuit is developed to study its response for sudden changes in the output. An effective lithium cell simulation model with thermal dependence is presented in this paper. One series resistor, one voltage source and a single RC block form the proposed equivalent circuit model. The 1 RC and 2 RC Lithium ion battery models are commonly used in the literature are studied and compared. The simulation of Lithium-ion battery 1RC and 2 RC Models are performed by using Matlab/Simulink Software. The simulation results in his paper shows that Lithium-ion battery 1 RC model has more maximum output error of 0.42% than 2 RC Lithium-ion battery model in constant current condition and the maximum output error of 1 RC Lithium-ion battery model is 0.18% more than 2 RC Lithium-ion battery model in UDDS Cycle condition. The simulation results also show that in both simple and complex discharging modes, the error in output is much improved in 2 RC lithium ion battery model when compared to 1 RC Lithium-ion battery model. Thus the paper shows for general applications like in portable electronic design like laptops, Lithium-ion battery 1 RC model is the preferred choice and for automotive and space design applications, Lithium-ion 2 RC model is the preferred choice. In this paper, these simulation results for 1 RC and 2 RC Lithium-ion battery models will be very much useful in the application of practical Lithium-ion battery management systems for electric vehicle applications.
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Zhang, Chaolong, Yigang He, Lifeng Yuan, Sheng Xiang, and Jinping Wang. "Prognostics of Lithium-Ion Batteries Based on Wavelet Denoising and DE-RVM." Computational Intelligence and Neuroscience 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/918305.

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Lithium-ion batteries are widely used in many electronic systems. Therefore, it is significantly important to estimate the lithium-ion battery’s remaining useful life (RUL), yet very difficult. One important reason is that the measured battery capacity data are often subject to the different levels of noise pollution. In this paper, a novel battery capacity prognostics approach is presented to estimate the RUL of lithium-ion batteries. Wavelet denoising is performed with different thresholds in order to weaken the strong noise and remove the weak noise. Relevance vector machine (RVM) improved by differential evolution (DE) algorithm is utilized to estimate the battery RUL based on the denoised data. An experiment including battery 5 capacity prognostics case and battery 18 capacity prognostics case is conducted and validated that the proposed approach can predict the trend of battery capacity trajectory closely and estimate the battery RUL accurately.
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Kurfer, Jakob. "Design of Assembly Systems for Large-Scale Battery Cells." Advanced Materials Research 769 (September 2013): 11–18. http://dx.doi.org/10.4028/www.scientific.net/amr.769.11.

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The social and technical trends regarding electro mobility and the turnaround in energy policy cause an increasing demand on large-scale and high-quality lithium-ion cells as core components for electrical storage systems. Within the production of lithium-ion cells, cell assembly has to deal with diverse challenges which result from product complexity and a lack of production experience. This paper covers the design of assembly systems for large-scale lithium-ion cells and presents the enhancement of conventional design processes by three add-on modules. The first one is an analysis of product structure and design focus points and is described in this paper. The modules two and three are outlined.
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Wu, Yi, Youren Wang, Winco K. C. Yung, and Michael Pecht. "Ultrasonic Health Monitoring of Lithium-Ion Batteries." Electronics 8, no. 7 (July 3, 2019): 751. http://dx.doi.org/10.3390/electronics8070751.

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Because of the complex physiochemical nature of the lithium-ion battery, it is difficult to identify the internal changes that lead to battery degradation and failure. This study develops an ultrasonic sensing technique for monitoring the commercial lithium-ion pouch cells and demonstrates this technique through experimental studies. Data fusion analysis is implemented using the ultrasonic sensing data to construct a new battery health indicator, thus extending the capabilities of traditional battery management systems. The combination of the ultrasonic sensing and data fusion approach is validated and shown to be effective for degradation assessment as well as early failure indication.
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Herrmann, Christoph, Annika Raatz, Stefan Andrew, and Jan Schmitt. "Scenario-Based Development of Disassembly Systems for Automotive Lithium Ion Battery Systems." Advanced Materials Research 907 (April 2014): 391–401. http://dx.doi.org/10.4028/www.scientific.net/amr.907.391.

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The rising number of lithium ion batteries from electric vehicles makes an economically advantageous and technically mature disassembly system for the end-of-life batteries inevitable. The disassembly system needs to cope with the size, the design and the remaining state of charge of the respective battery system. The complex design resulting from the number and type of connection elements challenges an automated disassembly. The realisation of an automated disassembly presupposes the consideration of elements from Design for Disassembly throughout the battery system development. In this paper a scenario-based development of disassembly systems is presented with varying possible design aspects as well as different amounts of end of life battery systems. These scenarios point out the resulting implications on battery disassembly systems in short, medium and long term. Using a morphological box the best option for each disassembly scenario is identified and framed in a disassembly system design. The disassembly systems are explained and the core elements are introduced. Newly developed and innovative disassembly tools, such as a robot that allows a hybrid human-robot-working-space and an advanced battery cell gripper are introduced. The gripper system for the battery cells enables with an integrated sensor an instant monitoring of the battery cell condition. The proposed disassembly element is verified in an experimental test series with automotive pouch cell batteries.
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Poyner, Mark A., Indumini Jayasekara, and Dale Teeters. "Fabrication of a Novel Nanostructured SnO2/LiCoO2 Lithium-Ion Cell." MRS Advances 1, no. 45 (2016): 3075–81. http://dx.doi.org/10.1557/adv.2016.537.

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ABSTRACTIncorporating nanotechnology processes and techniques to Li ion batteries has helped to improve the cycling capabilities and overall performance of several lithium ion battery chemistries. Nanostructuring a lithium ion battery’s anode and cathode, allows for extremely high surface area electrodes to be produced and utilized in many of these battery systems. Using a nanoporous Anodized Aluminum Oxide (AAO) membrane with nanopores of 200nm in diameter as a template, high surface area nanostructured electrode materials can be synthesized and utilized in a lithium ion cell. Through the use of RF magnetron sputter coating, these nanoporous AAO templates can be sputter coated with a thin film of active anode or cathode materials. The anode and cathode material in this research are SnO2 and LiCoO2, respectively. Nanostructured SnO2 has been investigated as an alternative high capacity anode to replace the more commonly used carbon based anodes of current lithium ion batteries. A novel nanostructured SnO2/LiCoO2 cell can be fabricated in a liquid electrolyte. The galvanostatic cell cycling performance will be discussed. Nanostructuring both electrode materials as well as the electrolyte can lead to a novel all-solid-state Li ion battery. Nanostructured SnO2 anode and LiCoO2 electrodes have been generated along with a polyethylene-oxide (PEO) based electrolyte nanoconfined in an AAO membrane, to generate a functioning nanostructured all-solid-state cell. The cell was investigated using AC impedance spectroscopy and galvanostatic cell cycling. The cycling results of both SnO2/LiCoO2 cell systems will be discussed.
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Meng, Yunfan. "Economic analysis for centralized battery energy storage system with reused battery from EV in Australia." E3S Web of Conferences 300 (2021): 01003. http://dx.doi.org/10.1051/e3sconf/202130001003.

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With battery energy storage technology development, the centralized battery energy storage system (CBESS) has a broad prospect in developing electricity. In the meantime, the retired lithium-ion batteries from electric vehicles (EV) offer a new option for battery energy storage systems (BESS). This paper studies the centralized reused battery energy storage system (CRBESS) in South Australia by replacing the new lithium-ion batteries with lithium-ion second-life batteries (SLB) and evaluating the economic benefits with economic indicators as net present value (NPV), discounted payback period (DPBP), Internal rate of return (IRR) to depict a comprehensive understanding of the development potential of the CRBESS with the lithium-ion SLB as the energy storage system. This paper proposes a calculation method of frequency control ancillary services (FCAS) revenue referring to market share rate (MSR) when building the economic model. Moreover, the residual value of lithium-ion batteries is considered. This paper uses the economic model to calculate the profitability and development potential of CRBESS. From an economic perspective, the superiority and feasibility of CRBESS compared with CBESS were analyzed.
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Liu, Yiqun, Y. Gene Liao, and Ming-Chia Lai. "Transient Temperature Distributions on Lithium-Ion Polymer SLI Battery." Vehicles 1, no. 1 (July 25, 2019): 127–37. http://dx.doi.org/10.3390/vehicles1010008.

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Lithium-ion polymer batteries currently are the most popular vehicle onboard electric energy storage systems ranging from the 12 V/24 V starting, lighting, and ignition (SLI) battery to the high-voltage traction battery pack in hybrid and electric vehicles. The operating temperature has a significant impact on the performance, safety, and cycle lifetime of lithium-ion batteries. It is essential to quantify the heat generation and temperature distribution of a battery cell, module, and pack during different operating conditions. In this paper, the transient temperature distributions across a battery module consisting of four series-connected lithium-ion polymer battery cells are measured under various charging and discharging currents. A battery thermal model, correlated with the experimental data, is built in the module-level in the ANSYS/Fluent platform. This validated module thermal model is then extended to a pack thermal model which contains four parallel-connected modules. The temperature distributions on the battery pack model are simulated under 40 A, 60 A, and 80 A constant discharge currents. An air-cool thermal management system is integrated with the battery pack model to ensure the operating temperature and temperature gradient within the optimal range. This paper could provide thermal management design guideline for the lithium-ion polymer battery pack.
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Dissertations / Theses on the topic "Lithium, Ion, battery systems"

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Zhang, Yizhou. "Modularized Battery Management Systems for Lithium-Ion Battery Packs in EVs." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-194316.

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The (Battery management system)BMS has the task of ensuring that for the individual bat-tery cell parameters such as the allowed operating voltage window or the allowable temperature range are not violated. Since the battery itself is a highly distinct nonlinear electrochemical de-vice it is hard to detect its internal characteristics directly. The requirement of predicting battery packs’ present operating condition will become one of the most important task for the BMS. Therefore, special algorithms for battery monitoring are required.In this thesis, a model based battery state estimation technique using an adaptive filter tech-nology is investigated. Different battery models are studied in terms of complexity and accuracy. Following up with the introduction of different adaptive filter technology, the implementation of these methods into battery management system is decribed. Evaluations on different estimation methods are implemented from the point of view of the dynamic performance, the requirement on the computing power and the accuracy of the estimation. Real test drive data will be used as a reference to compare the result with the estimation value. Characteristics of different moni-toring methods and models are reported in this work. Finally, the trade-offs between different monitor’s performance and their computational complexity are analyzed.
BMS (eng. battery management system) har till uppgift att se till att viktiga parametrar såsom tillspännings- och temperaturintervall upprätthålls för varje individuell battericell. Då en battericells beteende är ickelinjärt är det svårt att bestämma cellens interna karakteristika direkt. Att kunna förutsäga dessa karakteristika för ett komplett batteripack kommer att en mycket viktig funktion hos framtida BMS. I detta examensarbete har en modellbaserad tillståndsestimeringsmetod med användande av adaptiv filtrering undersökts. Olika batterimodeller har studerats med avseende på komplexitet och noggrannhet. Efter introduktionen av olika metoder för adaptiv filtrering har dessa metoder implementerats i en BMS modell. Utvärdering av de olika metoderna för att åstadkomma tillståndsestimering har sedan utförts med avseende på dynamisk prestanda, krav på beräkningskraft och noggrannhet hos de resulterande estimaten. Data från uppmätta kördata från ett fordon har använts som referens för att jämföra de olika estimaten. Slutligen presenteras en jämförelse mellan de olika tillståndsestimeringsmetodernas prestanda när de appliceras på de olika batterimodellerna.
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Adelhelm, Philipp. "From Lithium-Ion to Sodium-Ion Batteries." Diffusion fundamentals 21 (2014) 5, S.1, 2014. https://ul.qucosa.de/id/qucosa%3A32397.

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Hosseini, Moghaddam Seyed Mazyar. "Designing battery thermal management systems (BTMS) for cylindrical Lithium-ion battery modules using CFD." Thesis, KTH, Energiteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-244459.

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Renewable Energies have the capability to cut down the severe impacts of energy and environmental crisis. Integrating renewable energy generation into the global energy system calls for state of the art energy storage technologies. The lithium-ion battery is introduced in this paper as a solution with a promising role in the storage sector on the grounds of high mass and volumetric energy density. Afterward, the advantages of proper thermal management, including thermal runaway prevention, optimum performance, durability, and temperature uniformity are described. In particular, this review detailedly compares the most frequently adopted battery thermal management solutions (BTMS) in the storage industry including direct and indirect liquid, air, phase-change material, and heating. In this work, four battery thermal management solutions are selected and analyzed using Computational Fluid Dynamic (CFD) simulations for accurate thermal modeling. The outcome of the simulations is compared using parameters e.g. temperature distribution in battery cells, battery module, and power consumption. Liquid cooling utilizing the direct contact higher cooling performance to the conventional air cooling methods. However, there exist some challenges being adopted in the market. Each of the methods proves to be favorable for a particular application and can be further optimized.
Integrering av förnybara energier i globala energisystem kräver enorma energilagrings teknologier. Litium jon batterier spelar en viktig roll inom denna sektor på grund av både hög vikt- och volymmässig energidensitet. Korrekt värmestyrning (Thermal management) är nödvändigt för litium jon batteriernas livslängd och operation. Dessa batterier fungerar bäst när de ligger inom intervallet 15–35 grader. dessutom har olika värmestyrsystem utvecklats för att säkerställa att batterierna arbetar optimalt i olika applikationer. I den här studien fem värmestyrningslösningar för batterier har väljas och analyseras med hjälp av beräkningsvätskedynamik (CFD) simulering. Resultaten av simuleringarna jämförs med olika parametrar som temperaturfördelning i battericeller, batterimoduler och strömförbrukning. Alla metoder visar sig vara användbara lämplig för viss tillämpning och kan vidare optimeras för detta ändamål.
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Bergman, Emma. "Designing Thermal Management Systems For Lithium-Ion Battery Modules Using COMSOL." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241899.

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In this thesis, a section of a lithium ion battery module, including five cells and an indirect liquid cooling system, was modelled in COMSOL Multiphysics 5.3a. The purpose of this study was to investigate the thermal properties of such a model, including heat generation per cell and temperature distribution. Additionally, the irreversible and reversible heat generation, the cell voltage and the internal resistance were investigated. The study also includes the relation between heat generation and C-­‐rates, and an evaluation of COMSOL Multiphysics 5.3a as a software. It was found that having liquid cooling is beneficial for the thermal management, as the coolant flow helps to transfer away the heat generated within the battery. The results also show that it is important to not go below a set cell voltage at which the cell is considered fully discharged. If a control mechanism to stop the battery is not implemented, the generated heat, and consequently the temperature, increase drastically. COMSOL Multiphysics 5.3a was considered a suitable software for the modelling. For future research it is of interest to expand the model to a full scale module to fully investigate the temperature distribution where more cells are being cooled by the same coolant loop.
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Relefors, Axel. "Investigation and Application of Safety Parameters for Lithium-ion Battery Systems." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281226.

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The Swedish Armed Forces are investigating high-risk applications where lithium-ion batteries (LIB) can replace traditional lead-acid batteries. Understanding the potential safety risks and evaluating a battery's instability is crucial for military applications. This report aimed to identify critical safety parameters (temperature, potential, and impedance) in commercial batteries with NMC and LFP electrode chemistries, and to investigate how surrounding cells are affected when a battery suffers from thermal runaway (TR) in a battery module developed by FOI. Accelerated rate calorimetry (ARC) experiments on NMC-based Samsung SDI INR21700-40T and INR21700-50E and LFP-based A123 Systems ANR26650m1-B batteries were conducted to identify critical onset conditions of TR. ARC experiments were conducted with continuous electrochemical impedance spectroscopy (EIS) measurements to correlate thermal behavior with electrochemical changes in the cell impedance and voltage. The NMC-based batteries showed a distinct endothermic reaction between 116 °C and 121 °C, an onset temperature of exothermic self-heating at around 120 °C, which progressed to an explosive decomposition at about 170 °C and resulted in an adiabatic temperature rise of 250 °C to 290 °C. A significant increase in the cell’s impedance at around 100 °C indicated that the current interrupt device (CID) was triggered due to gas formation and critical pressure build-up within the cell. The LFP-based battery demonstrated improved thermal stability during ARC measurements and did not suffer from TR when heated to 300 °C. Thermal runaway propagation experiments were conducted in a battery module developed by FOI. The identified onset temperatures and electrochemical markers were then used to evaluate the stability of the module cells. Cell temperature increases between 16 °C and 48 °C was observed in cells directly adjacent to the trigger cell. Cells further from the trigger cell experienced uniform temperature increases of between 8 °C and 30 °C. EIS measurements of the module cells revealed no significant changes in their impedance spectra. The insulating polymer wrap around each cell was found to be crucial in preventing TR propagation. TR propagated from cell-to-cell in the module when the insulating wraps were removed, and cells were in direct contact with the thermally conductive heat sink.
Försvarsmakten undersöker högriskapplikationer där litiumjonbatterier kan ersätta traditionella blysyrabatterier. Att förstå säkerhetsrisker och utvärdera ett batteris instabilitet är särskilt viktigt för militära tillämpningar. Denna rapport syftar till att identifiera kritiska säkerhetsparametrar (temperatur, spänning och impedans) för kommersiella batterier med NMC- och LFP-elektrodkemier samt undersöka hur omkringliggande celler påverkas när ett batteri termiskt rusar (TR) i en batterimodul utvecklad av FOI. ARC-experiment genomfördes på NMC-baserad Samsung SDI INR21700-40T och INR21700-50E och A123 Systems ANR26650m1-B batterier för att karakterisera förloppet av termisk rusning (TR). ARC-experiment utfördes med kontinuerliga elektrokemisk impedansspektroskopi (EIS) för att korrelera termiskt beteende med elektrokemiska förändringar i cellimpedansen och spänningen. Det NMC-baserade batterierna uppvisade en tydlig endotermisk reaktion mellan 116 °C och 121 °C, exotermiska reaktioner påbörjades vid 120 °C och ledde till explosiv termisk rusning vid cirka 170 °C, vilket gav upphov till en adiabatisk temperaturökning på 250 °C till 290 °C. En signifikant ökning av cellens impedans vid cirka 100 °C indikerade att den inre säkerhetsventilen utlöstes på grund av gasbildning och kritisk tryckuppbyggnad i cellen. Det LFP-baserade batteriet visade förbättrad termisk stabilitet under ARC-mätningar och drabbades inte av TR vid uppvärmning till 300 °C. Termiska rusningsförsök genomfördes på en batterimodul utvecklad av FOI. De identifierade starttemperaturerna och elektrokemiska markörerna användes för att utvärdera modulcellernas stabilitet. Celltemperaturökningar mellan 16 °C och 48 °C observerades i celler direkt intill triggcellen. Celler längre från triggcellen upplevde likformiga temperaturökningar mellan 8 °C och 30 °C. EIS-mätningar av modulcellerna avslöjade inga signifikanta förändringar i deras impedansspektra. Det isolerande polymeromslaget runt varje cell var avgörande för att förhindra propagering av termisk rusning i modulen. Termisk rusning propagerade från cell till cell i modulen när de isolerande omslagen togs bort och cellerna var i direkt kontakt med den värmeledande kylflänsen.
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Seger, Tim [Verfasser]. "Elliptic-Parabolic Systems with Applications to Lithium-Ion Battery Models / Tim Seger." Konstanz : Bibliothek der Universität Konstanz, 2013. http://d-nb.info/1037917715/34.

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Donato, Thiago Henrique Rizzi. "Machine learning systems applied in satellite lithium-ion battery set impedance estimation." Instituto Nacional de Pesquisas Espaciais (INPE), 2018. http://urlib.net/sid.inpe.br/mtc-m21c/2018/04.27.23.39.

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In this work, the internal impedance of the lithium-ion battery pack, an essential measure of the degradation level of the batteries, is estimated employing ensembles of machine learning models. In this study, we take the supervised learning techniques Multi-Layer Perceptron bagging neural network and gradient tree boosting into account. Characteristics of the electric power system, in which the battery pack is inserted, are extracted and used in the modeling and training phases. During this process, the architecture of the ensembles and the configuration of their base learners are tuned through validation iterations. Finally, with the application of statistical testing and similarity analysis techniques, the best ensembles of models are examined and compared to other methods found in the literature. Results indicate that our approach is a suitable manner to estimate the internal impedance of batteries.
Neste trabalho, a impedância interna de um conjunto de baterias lítio-íon (uma importante medida do nível de degradação) é estimada por meio de conjuntos de modelos de aprendizado supervisionado tais como: rede neural tipo MLP (Multi- Layer Perceptron) e Gradient Tree Boosting. Para isto, características do sistema de alimentação elétrica, em que o conjunto de baterias está inserido, são extraídas e utilizadas na construção de conjuntos de modelos supervisionados (MLP e xgBoost). Ao longo deste processo, a arquitetura de tais conjuntos de modelos e suas respectivas configurações são ajustados por meio de validações. Finalmente, com a aplicação de técnicas de teste e verificação estatística, as acurácias dos modelos são calculadas e testes comparativos são conduzidos. Os resultados obtidos mostram que a abordagem proposta é adequada para o problema de estimativa da impendância de baterias.
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Gibbs, George. "The Application of Systems Engineering Principles to Model Lithium Ion Battery Voltage." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/907.

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The objective of this project is to present a Lithium Ion battery voltage model derived using systems engineering principles. This paper will describe the details of the model and the implementation of the model in practical use in a power system. Additionally, the model code is described and results of the model output are compared to battery cell test data. Finally, recommendations for increased model fidelity and capability are summarized. The modeling theory has been previously documented in the literature but detailed implementation and application of the modeling theory is shown. The detailed battery cell test voltage profiles are proprietary; as such this project will not include axis values, often used in presentation of proprietary data in the public domain. The objective of this presentation is still achieved, as the modeling implementation and results are clearly demonstrated.
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Mubenga, Ngalula Sandrine. "A Lithium-Ion Battery Management System with Bilevel Equalization." University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513207337549147.

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Bhatia, Padampat Chander. "Thermal Analysis of Lithium-Ion Battery Packs and Thermal Management Solutions." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1371144911.

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Books on the topic "Lithium, Ion, battery systems"

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Battery management systems for large lithium-ion battery packs. Boston: Artech House, 2010.

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A systems approach to lithium-ion battery management. Boston: Artech House, 2014.

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author, Smith Kandler, Neubauer Jeremy author, Kim Gi-Heon author, Keyser Matthew author, Pesaran Ahmad A. author, and National Renewable Energy Laboratory (U.S.), eds. Design and analysis of large lithium-ion battery systems. Boston: Artech House, 2015.

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Blum, Andrew F., and R. Thomas Long. Fire Hazard Assessment of Lithium Ion Battery Energy Storage Systems. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6556-4.

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Gulbinska, Malgorzata K., ed. Lithium-ion Battery Materials and Engineering. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6548-4.

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Li li zi dian chi yong lin suan tie li zheng ji cai liao: LiFePO4 Cathode Material Used for Li-ion Battery. Beijing Shi: Ke xue chu ban she, 2013.

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Jisedai jidōshayō richiumu ion denchi no zairyō kaihatsu: Development and research on next generation-materials for lithium-ion rechargeable battery for automotive application. Tōkyō-to Chiyoda-ku: Shīemushī Shuppan, 2014.

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Jidōshayō dai yōryō niji denchi no kaihatsu: Development of large scale rechargeable batteries for vehicles. Tōkyō-to Chiyoda-ku: Shīemushī Shuppan, 2008.

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Blum, Andrew F., and R. Thomas Long Jr. Fire Hazard Assessment of Lithium Ion Battery Energy Storage Systems. Springer, 2016.

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Lithium-Ion Battery Chemistries. Elsevier, 2019. http://dx.doi.org/10.1016/c2017-0-02140-7.

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Book chapters on the topic "Lithium, Ion, battery systems"

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Zhang, Zhengming, and Premanand Ramadass. "Lithium-Ion Battery lithium-ion battery Systems and Technology lithium-ion battery technology." In Encyclopedia of Sustainability Science and Technology, 6122–49. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_663.

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Gulbinska, Malgorzata K., Arthur Dobley, Joseph S. Gnanaraj, and Frank J. Puglia. "Lithium-ion Cells in Hybrid Systems." In Lithium-ion Battery Materials and Engineering, 151–73. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6548-4_6.

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Zhang, Zhengming John, and Premanand Ramadass. "Lithium-Ion Battery Systems and Technology." In Batteries for Sustainability, 319–57. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5791-6_10.

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Koehler, Uwe. "Lithium-ion battery system design." In Lithium-Ion Batteries: Basics and Applications, 89–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-53071-9_8.

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Moeller, Kai-Christian. "Overview of battery systems." In Lithium-Ion Batteries: Basics and Applications, 3–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-53071-9_1.

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Dorn, Roland, Reiner Schwartz, and Bjoern Steurich. "Battery management system." In Lithium-Ion Batteries: Basics and Applications, 165–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-53071-9_14.

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Baginska, M., B. J. Blaiszik, S. A. Odom, A. E. Esser-Kahn, M. M. Caruso, J. S. Moore, N. R. Sottos, and S. R. White. "Thermoresponsive Microcapsules for Autonomic Lithium-ion Battery Shutdown." In Experimental Mechanics on Emerging Energy Systems and Materials, Volume 5, 17–23. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9798-2_3.

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Kritzer, Peter, and Olaf Nahrwold. "Sealing and elastomer components for lithium battery systems." In Lithium-Ion Batteries: Basics and Applications, 113–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-53071-9_10.

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Cai, Wayne. "LITHIUM-ION BATTERY MANUFACTURING FOR ELECTRIC VEHICLES: A CONTEMPORARY OVERVIEW." In Advances in Battery Manufacturing, Service, and Management Systems, 1–28. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119060741.ch1.

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Fink, Holger, Stephan Rees, and Joachim Fetzer. "Generation 2 Lithium-Ion battery systems – Technology trends and KPIs." In Proceedings, 571–79. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08844-6_37.

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Conference papers on the topic "Lithium, Ion, battery systems"

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Johnson, Za, Stephen Cordova, and G. G. Amatucci. "Advanced Bipolar Lithium Ion Battery." In Power Systems Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2006. http://dx.doi.org/10.4271/2006-01-3023.

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Raman, N. S. "SAFT Lithium-Ion Polymer Battery Technology." In Power Systems Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2000. http://dx.doi.org/10.4271/2000-01-3611.

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Dey, Satadru, Beshah Ayalew, and Pierluigi Pisu. "Estimation of Lithium-Ion Concentrations in Both Electrodes of a Lithium-Ion Battery Cell." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9693.

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Abstract:
For control and estimation tasks in battery management systems, the benchmark Li-ion cell electrochemical pseudo-two-dimensional (P2D) model is often reduced to the Single Particle Model (SPM). The original SPM consists of two electrodes approximated as spherical particles with spatially distributed Li-ion concentration. However, the Li-ion concentration states in these two-electrode models are known to be weakly observable from the voltage output. This has led to the prevalent use of reduced models in literature that generally approximate Li-ion concentration states in one electrode as an algebraic function of that in the other electrode. In this paper, we remove such approximations and show that the addition of the thermal model to the electrochemical SPM essentially leads to observability of the Li-ion concentration states in both electrodes from voltage and temperature measurements. Then, we propose an estimation scheme based on this SPM coupled with lumped thermal dynamics that estimates the Li-ion concentrations in both electrodes. Moreover, these Li-ion concentration estimates also enable the estimation of the cell capacity. The estimation scheme consists of a sliding mode observer cascaded with an Unscented Kalman filter (UKF). Simulation studies are included to show the effectiveness of the proposed scheme.
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Ehrlich, G. M., R. Gitzendanner, F. Puglia, C. Marsh, and B. J. Bragg. "A Lithium Ion Cell for the EMU Battery." In Aerospace Power Systems Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-1389.

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He, Liang, Eugene Kim, and Kang G. Shin. "✲-Aware Charging of Lithium-Ion Battery Cells." In 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS). IEEE, 2016. http://dx.doi.org/10.1109/iccps.2016.7479067.

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Raghavendra, Naik K., and K. Padmavathi. "Solar Charge Controller for Lithium-Ion Battery." In 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2018. http://dx.doi.org/10.1109/pedes.2018.8707743.

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Ben Amira, Imen, Abdessattar Guermazi, and Amine Lahyani. "Lithium-ion Battery/Supercapacitors Combination in Backup Systems." In 2018 15th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2018. http://dx.doi.org/10.1109/ssd.2018.8570567.

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Vitols, Kristaps. "Lithium ion battery parameter evaluation for battery management system." In 2015 56th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON). IEEE, 2015. http://dx.doi.org/10.1109/rtucon.2015.7343128.

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Li Siguang and Zhang Chengning. "Study on Battery Management System and Lithium-ion Battery." In 2009 International Conference on Computer and Automation Engineering. ICCAE 2009. IEEE, 2009. http://dx.doi.org/10.1109/iccae.2009.11.

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Sinkaram, Chelladurai, Kausillyaa Rajakumar, and Vijanth Asirvadam. "Modeling battery management system using the lithium-ion battery." In 2012 IEEE International Conference on Control System, Computing and Engineering (ICCSCE). IEEE, 2012. http://dx.doi.org/10.1109/iccsce.2012.6487114.

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Reports on the topic "Lithium, Ion, battery systems"

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Dillon, Shen J. Final Report: In-Situ TEM Observations of Degradation Mechanisms in Next-Generation High-Energy Density Lithium-Ion Battery Systems. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1406527.

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Sarkar, Abhishek. Multiphysics analysis of electrochemical and electromagnetic system addressing lithium-ion battery and permanent magnet motor. Office of Scientific and Technical Information (OSTI), July 2019. http://dx.doi.org/10.2172/1593376.

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Fellner, Joseph P. Lithium-Ion Battery Pulse/High Rate Demonstration. Fort Belvoir, VA: Defense Technical Information Center, March 2003. http://dx.doi.org/10.21236/ada415407.

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Becker, Collin R. Microscale Alloy Type Lithium Ion Battery Anodes. Fort Belvoir, VA: Defense Technical Information Center, September 2015. http://dx.doi.org/10.21236/ada623566.

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Travis, Jonathan, and Christopher J. Orendorff. Coating Strategies to Improve Lithium-ion Battery Safety. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1222984.

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Janvrin, Madison, and Anne Grillet. Strain and Conductivity in Lithium Ion Battery Binders. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1561807.

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Trembacki, Bradley L., Jayathi Y. Murthy, and Scott Alan Roberts. Fully Coupled Simulation of Lithium Ion Battery Cell Performance. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1221525.

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Jacobs, J. K. Development of an Ultra-Safe Rechargeable Lithium-Ion Battery. Fort Belvoir, VA: Defense Technical Information Center, August 1995. http://dx.doi.org/10.21236/ada298847.

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Jacobs, J. K. Development of an Ultra-Safe Rechargeable Lithium-Ion Battery. Fort Belvoir, VA: Defense Technical Information Center, July 1995. http://dx.doi.org/10.21236/ada298850.

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Jacobs, J. K. Development of an Ultra-Safe Rechargeable Lithium-Ion Battery. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada299018.

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