Download or read book Application de l intelligence artificielle au pronostic des batteries lithium et de la pile combustible et la gestion de l nergie written by Yassine Toughzaoui and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Face aux défis environnementaux et à la crise énergétique, les sources d’énergie renouvelable se présentent comme une solution efficace permettant de répondre aux besoins énergétiques tout en respectant les contraintes environnementales. Leur intégration dans les micro-réseaux devient donc un atout fondamental. Cependant, le coût d’investissement reste encore important pour ces nouvelles technologies. Dans ce scenario, optimiser la conception et la gestion énergétique du micro-réseau permet à la fois d’améliorer le retour sur investissement et d’équilibrer le réseau en tenant compte de la nature intermittente des sources renouvelables.Les éléments de stockage tels que les batteries lithium-ion et l’hydrogène permettent d'améliorer les performances du micro-réseau. Cependant, ces éléments rencontrent des problèmes de vieillissement avec le temps et le taux d’utilisation, ce qui affecte les performances de l’installation. Ainsi, l’intégration de ces solutions de stockage nécessite le suivi de leurs états de santé au cours de leur utilisation.Afin de traiter les différentes problématiques (optimisation du dimensionnement et de la gestion d’énergie, et le pronostic des éléments de stockage), différentes méthodes ont été utilisées dans la littérature. Les outils d’intelligence artificielle sont largement exploités dans ce domaine grâce à leur bonne précision et leur flexibilité. L’objectif de ce manuscrit, est d’étudier les avantages de ces méthodes pour l’optimisation du dimensionnement et de la gestion d’énergie d’un micro-réseau, ainsi que pour le pronostic des batteries lithium-ion et des piles à combustible.Dans la première partie de ce travail, nous avons utilisé les réseaux de neurones artificiels (LSTM et CNN), pour l’estimation de l’état de santé des cellules lithium en utilisant deux bases de données pour l’entraînement des modèles. Ensuite, nous avons utilisé ces modèles pour la prédiction de la capacité et de la durée de vie restante, en comparant leurs résultats avec ceux du modèle ARIMA. Les résultats obtenus ont montré que le modèle hybride CNN-LSTM arrive à estimer avec précision l’état de santé des cellules pour les deux bases de données considérées. Pour le pronostic, nous avons vérifié que les performances du modèle hybride s’améliorent avec l’augmentation du pourcentage des données d’entraînement, tout en montrant qu'ARIMA est capable de fournir des résultats précis même pour des faibles pourcentages de données.Dans la deuxième partie, nous avons mené une étude comparative entre le réseau LSTM et le modèle SARIMA pour le pronostic des piles PEM en utilisant deux indicateurs de dégradation: l’énergie et la tension. Nous avons montré que SARIMA arrive à prédire les deux indicateurs avec précision même pour des faibles pourcentages de données d’entraînement, cependant, le réseau LSTM a besoin de beaucoup de données pour améliorer ses performances. Ensuite, nous avons réalisé deux bancs expérimentaux pour étudier le comportement de la pile dans un micro-réseau.Dans la troisième partie, nous avons étudié l’optimisation du dimensionnement et de la gestion d’énergie dans deux applications. Nous avons utilisé les algorithmes génétiques pour l’optimisation du dimensionnement du micro-réseau, tout en conduisant une étude paramétrique pour montrer l’effet du coût du réseau sur les résultats obtenus. Pour la gestion d’énergie, nous avons utilisé la programmation linéaire pour la première application, et nous avons développé une stratégie de gestion électrique-thermique pour la deuxième application. Enfin, nous avons proposé un modèle hybride qui consiste à utiliser le modèle SARIMA pour la prédiction de la production solaire. Ces prédictions sont utilisées par l’algorithme de planification de la gestion d’énergie, et le réseau LSTM est utilisé, après, pour prédire l’énergie consommée par l’électrolyseur et l’énergie produite par la pile afin d’adapter la planification de la gestion d’énergie aux conditions réelles.
Download or read book AI for Status Monitoring of Utility Scale Batteries written by Shunli Wang and published by IET. This book was released on 2022-11-25 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utility-scale Li-ion batteries are poised to play key roles for the clean energy system, but their failure has severe effects. AI can help with their monitoring and management. This work covers machine learning, neural networks, and deep learning, for battery modeling.
Download or read book Neural Network Based State of Charge and State of Health Estimation written by Qi Huang and published by Cambridge Scholars Publishing. This book was released on 2023-11-16 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: To deal with environmental deterioration and energy crises, developing clean and sustainable energy resources has become the strategic goal of the majority of countries in the global community. Lithium-ion batteries are the modes of power and energy storage in the new energy industry, and are also the main power source of new energy vehicles. State-of-charge (SOC) and state-of-health (SOH) are important indicators to measure whether a battery management system (BMS) is safe and effective. Therefore, this book focuses on the co-estimation strategies of SOC and SOH for power lithium-ion batteries. The book describes the key technologies of lithium-ion batteries in SOC and SOH monitoring and proposes a collaborative optimization estimation strategy based on neural networks (NN), which provide technical references for the design and application of a lithium-ion battery power management system. The theoretical methods in this book will be of interest to scholars and engineers engaged in the field of battery management system research.
Download or read book Lifetime prediction on lithium ion battery cell and system level Band 8 written by Severin Lukas Hahn and published by Cuvillier Verlag. This book was released on 2022-08-23 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lithium-Ionen Batteriesysteme leiden unter elektrochemischen Degradations- und Ausfallmechanismen, die nur mit hohem Testaufwand abzusichern sind. Daher verfolgt diese Arbeit das Ziel, Prädiktionen des kalendarischen Kapazitätsverlustes und der Druckentwicklung auf Zell- und Systemebene zu verbessern. Eine fundamentale Inkonsistenz semi-empirischer kalendarischer Alterungsmodelle konnte aufgrund theoretischer Überlegungen aufgelöst werden, indem der Einfluss der initialen Anodendeckschicht berücksichtigt wird. Ein neuartiges Validierungskonzept, welches durch maschinelles Lernen inspiriert wurde, konnte die dadurch verbessere Prognosefähigkeit gegenüber der Literatur aufzeigen. Das Verhalten von Einzelzellen in repräsentativer Modulverspannung konnte auf einer neuen aktiv geregelte Zellpresse untersucht werden und schuf grundlegendes Verständnis. Die Presse ermöglichte damit die Systemmodellierung der Druckentwicklung, deren detaillierte Parametrisierung und die Messung des Gasverdrängungsdruckes von laminierten Zellen. Durch die Messung der Druckentwicklung in Alterungsversuchen von Modulen konnte die Modellprädiktion auf Systemebene erfolgreich für Moduldesigns validiert werden.
Download or read book State Estimation Strategies in Lithium ion Battery Management Systems written by Shunli Wang and published by Elsevier. This book was released on 2023-07-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modelling and monitoring charge, energy, power, and health of lithium-ion batteries. The book begins by introducing core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery, and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate in detail on modeling and parameter identification methods and advanced estimation techniques in different application scenarios. Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students, and scientists in energy storage, control, automation, electrical engineering, power systems, materials science, and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel with an interest in lithium-ion batteries, battery modelling, SOC estimation, energy management, and energy storage.
Download or read book Hybridation diagnostic et pronostic de piles combustible written by Samir Jemeï and published by ISTE Group. This book was released on 2019-01-01 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: L’hydrogène, l’élément le plus abondant dans l’Univers, a définitivement sa place dans le bouquet énergétique du futur et plus particulièrement dans la technologie des piles à combustible (PAC). Parmi les différents types de PAC, cet ouvrage étudie la technologie PEMFC (Proton Exchange Membrane Fuel Cell) qui offre des perspectives remarquables pour les applications transports et stationnaires. Néanmoins, de nombreux verrous technologiques et scientifiques restent à lever pour atteindre un niveau industriel de développement. Hybridation, diagnostic et pronostic de piles à combustibleprésente ces verrous et examine les solutions qui permettraient de rendre cette technologie plus fiable à court terme. Trois axes principaux sont étudiés : le premier concerne le système des PAC et sa mise en oeuvre expérimentale, le deuxième traite de l’hybridation des générateurs PAC et le dernier analyse les diagnostics et pronostics des PAC.
Download or read book Fuzzy Filter Based State of Energy Estimation for Lithium Ion Batteries written by Shunli Wang and published by Cambridge Scholars Publishing. This book was released on 2024-03-21 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Awareness of the safety issues of lithium-ion batteries is crucial in the development of new energy technologies, and real-time and high-precision State of Energy (SOE) estimation is not only a prerequisite for battery safety, but also serves as the basis for predicting the remaining driving range of electric vehicles and aircrafts. In order to achieve real-time and accurate estimation of the energy state of lithium-ion batteries, this book improves the calculation method of the open-circuit voltage in the traditional second-order RC equivalent circuit model. It also combines a fuzzy controller and a dual-weighted multi-innovation algorithm to optimize the traditional Centralized Kalman Filter (CKF) algorithm in terms of the aspects of convergence speed, estimation accuracy, and algorithm robustness. This enables the precise estimation of SOE and the maximum available energy. The content of this book provides theoretical support for the development of new energy initiatives.
Download or read book Batteries Li ion written by Didier Bloch and published by EDP Sciences. This book was released on 2022-10-25T00:00:00+02:00 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grâce à l’amélioration de leurs performances et la diminution de leur coût de fabrication, les accumulateurs au lithium initialement commercialisés en 1991 par SONY pour alimenter les équipements portables, jouent désormais un rôle-clef dans le développement massif attendu de la mobilité électrique. Connectées au réseau électrique via les véhicules électrifiés dans lesquels elles seront embarquées, les batteries au lithium seront de surcroît utilisées comme moyen massif de stockage tampon des énergies renouvelables, ainsi que comme outils de soutien au réseau (effacement des heures de pointe, régulation de fréquence...), permettant, au-delà de leur fonction première (assurer la mobilité du véhicule), de démultiplier leur utilité. Ces évolutions vont profondément transformer nos sociétés, et permettre non seulement de réduire très significativement les émissions de CO2 et la consommation d’énergies fossiles (pétrole, gaz, charbon), mais également, si elles sont conduites et coordonnées efficacement, de contribuer à la croissance économique. Le développement de la mobilité électrique offre ainsi une opportunité unique de faire coïncider des exigences légitimes de protection de l’environnement avec des objectifs de développement industriel. Cet ouvrage a pour objectif d’offrir au lecteur une vue d’ensemble des technologies d’accumulateurs au lithium, de fournir un état des lieux des initiatives en cours dans le monde, et de dresser quelques perspectives pour l’avenir. Chercheurs au CEA et au CNRS, les auteurs de cet ouvrage disposent, tous, d’une expertise fondée sur plusieurs années d’expérience dans le développement des filières d’accumulateurs au lithium et des filières post lithium-Ion, sur l’ensemble des éléments de la chaîne de la valeur, depuis le design et la synthèse des matériaux d’électrodes, jusqu’à l’intégration dans le véhicule.
Download or read book Les batteries tout solide monolithiques written by Virginie Viallet and published by ISTE Group. This book was released on 2018-06-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Depuis les années 1990, les batteries Li-ion sont les systèmes de stockage d’énergie les plus utilisés. La demande en termes de performances et de sécurité étant sans cesse grandissante, les batteries commerciales actuelles à base d’électrolytes liquides ou gels risquent de ne pas réussir à satisfaire les besoins des applications émergentes : alimentation des véhicules électriques et hybrides, stockage des énergies renouvelables, etc. Il devient donc nécessaire de développer des technologies avancées de systèmes de stockage répondant aux caractéristiques industrielles telles que de grandes densités d’énergie, une longue durée de vie, un faible coût de production, peu ou pas de maintenance et une grande sécurité d’utilisation. Les batteries tout solide monolithiques présente cette technologie émergente de choix pour satisfaire à ces exigences. L’électrolyte au sein de la séparation entre les deux électrodes n’est plus liquide mais solide dans cette technologie.
Download or read book Intelligent Lithium Ion Battery State of Charge SOC Estimation Methods written by Shunli Wang and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: To improve the accuracy and stability of power battery state of charge (SOC) estimation, this book proposes a SOC estimation method for power lithium batteries based on the fusion of deep learning and filtering algorithms. More specifically, the book proposes a SOC estimation method for Li-ion batteries using bi-directional long and short-term memory neural networks (BiLSTM), which overcomes the problem that long and short-term memory neural networks (LSTM) pose, because they can only learn in one direction, resulting in poor feature extraction and memory effect. The book provides some technical references for the design, matching, and application of power lithium-ion battery management systems, and contributes to the development of new energy technology applications.
Download or read book r n stic of Lithium Batteries Using Artificial Intelligence written by Abdelilah Hammou and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lithium-ion batteries are dominating the EV market due to their higher performance in comparison with other energy storage systems. However, as any electrochemical system the lithium-ion batteries suffer from several side reactions that lead to the fade of their performance and increase the risks of the system failure. Therefore, the state-of-health monitoring of these energy storage systems is necessary for an efficient and safe operation of the battery system. This PhD thesis contributes to this topic: where it exploits the ageing data extracted from battery cycling tests to derive diagnostic and prognostic approaches.The first part of this study focuses on the experimental investigation of the sensitivity the equivalent circuit model's parameters to the discharge current rate. The results show that the polarization capacitance and resistance vary with the variation of the current rate, while the series resistance is the less parameter sensitive to the current rate. The second part aims to study the ageing effect on the performances of the cells and generate experimental data of battery cycling. During these tests, the cells are cycled using a dynamic current profile extracted from the Worldwide Harmonized Light Vehicle Test Cycle (WLTC). The obtained results show that the cells' capacity and energy decrease with the increasing of the performed cycles. The investigation on the effect of the SoC cycling window showed that reducing the SoC window from 100%-0% to 80%-20% contributes to the extension of the battery lifetime for NMC cells. In contrast, for LFP cells, the SoC window reduction has an inverse effect on their lifetime.The experimental data generated are used then to design and evaluate the diagnosis of the prognosis approaches for the lithium-ion cells. Concerning the diagnosis approaches, the derived methods aim to estimate the health indicators from the available measurements such as current, voltage and temperature. This work presented and evaluated three diagnosis methods: The first method, combines the auto-encoders with the LSTM neural networks for the estimation of the cell's capacity and energy. The second method focuses on the investigation of the statistical features of the voltage measurement. The results show that the Kullback-Leibler Divergence is strongly correlated with the battery state of health. The third diagnosis model is based on an analytical model to estimate the battery energy and capacity from energy-based features. These features are extracted from a short segment of battery discharge, which makes it the most suitable for vehicular applications.Concerning the prognosis, four models are developed to predict battery capacity: LSTM, GRU, ESN and GPR. These prognostic models are tested and evaluated considering two scenarios: the first one uses measured capacities, while the second uses estimated capacities as training data. The prognostic models are evaluated by considering three percentages of training data corresponding to three stages of cycle ageing: premature, medium and advanced. The results showed that ESN provides accurate predictions of cell capacity and requires less training time, making it suitable for vehicular applications.
Download or read book Experimental Aging and Lifetime Prediction in Grid Applications for Large Format Commercial Li Ion Batteries written by and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the growth of electric vehicle and stationary energy storage markets, the production and use of lithium-ion batteries has grown exponentially in recent years. For many of these applications, large-format lithium-ion batteries are being utilized, as large cells have less inactive material relative to their energy capacity and require fewer electrical connections to assemble into packs. And especially for stationary energy storage systems, where energy delivered is the only revenue source, the economics of these battery systems is highly dependent on cell lifetime. However, testing of large-format lithium-ion batteries is time consuming and requires high current channels and large testing chambers, making information on the performance of commercial, large-format lithium-ion batteries hard to come by. Here, accelerated aging test data from four commercial large-format lithium-ion batteries is reported. These batteries span both NMC-Gr and LFP-Gr cell chemistries, pouch and prismatic formats, and a range of cell designs with varying power capabilities. Accelerated aging test results are analyzed to examine both cell performance, in terms of efficiency and thermal response under load, as well as cell lifetime. Cell thermal response is characterized by measuring temperature during cycle aging, which is used to calculated a normalized thermal resistance value that may help estimate both cell cooling needs or to help extrapolate aging test results to different thermal environments. Cell lifetime is evaluated qualitatively, considering simply the average calendar and cycle life across a range of conditions, as well as quantitatively, using statistical modeling and machine-learning methods to identify predictive aging models from the accelerated aging data. These predictive aging models are then used to investigate cell sensitivities to stressors, such as cycling temperature, voltage window, and C-rate, as well as to predict cell lifetime in various stationary storage applications. Results from this work show that cell lifetime and sensitivity to aging conditions varies substantially across commercial cells, necessitating testing for specific cell formats to make quantitative lifetime predictions. That being said, all commercial cells tested here are predicted to reach at least 10-year lifetimes for stationary storage applications. Based on the aging test results and modeling, some cells are expected to be relatively insensitive to temperature and use-case, making them suited for simple use cases with little or no thermal management and simple controls, while the lifetime of other cells could be extended to 20+ years if operated with thermal management and degradation-aware controls.
Download or read book Batteries Li ion written by and published by . This book was released on 2020-02-06 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Algorithms for Monitoring of Lithium ion Batteries in Electric Vehicles written by Wladislaw Waag and published by . This book was released on 2014 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Philostratus written by Philostratus (the Athenian) and published by . This book was released on 1912 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Connected Objects in Health written by Laure Beyala and published by Elsevier. This book was released on 2017-08-10 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connected objects today present a range of opportunities in medicine. We live in a new digital era where the monitoring and analysis of one’s own health information no longer belongs solely to the realm of science fiction. The success of these new devices resides in their usage, which integrates seamlessly into the daily life of the user in order to continually collect the maximum amount of data. These medical connected devices therefore constitute a new hope in transforming user experience as well as the care pathway. They offer a better level of support and a better quality of life for those suffering from chronic illnesses or mental, sensorial or physical disabilities. However, these solutions also pose systematic problems, especially regarding the risks linked to their usage. This book presents a cartography which clearly details all the potential risk scenarios linked to the usage of connected devices as well as the actions which should be undertaken to promote balanced governance and guarantee the development of high-quality medical devices. Aims to help the reader understand the difference between a connected object and a medical connected device Identifies and evaluates all the potential risks and perspectives associated with the use of connected medical devices Shows how to make a comprehensive risk analysis with standards like ISO 31000 and 14971
Download or read book Analecta Or Materials For a History of Remarkable Providences Mostly Relating to Scotch Ministers and Christians written by Robert Wodrow and published by BoD – Books on Demand. This book was released on 2024-05-25 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reprint of the original, first published in 1842.
