This thesis develops an advanced battery monitoring and control system based on the electrochemical principles that govern lithium-ion battery dynamics. This work is motivated by the need of having safer and better energy storage systems for all kind of applications, from small scale portable electronics to large scale renewable energy storage. In this context, lithium-ion batteries have become the enabling technology for energy autonomy in appliances (e.g. mobile phone, electric vehicle) and energy self-consumption in households. However, batteries are oversized and pricey, might be unsafe, are slow to charge and may not equalize the lifetime of the application they are intended to power. This work tackles these different issues.This document first introduces the general context of the battery management problem, as well as the particular issues that arise when modeling, supervising and controlling the battery short-term and long-term operation. Different solutions coming from the literature are reviewed, and several standard tools borrowed from control theory are exposed. Then, starting by well-known contributions in electrochemical modeling, we proceed to develop reduced-order models for the battery operation including degradation mechanisms, that are highly descriptive of the real phenomena taking place. This modeling framework is the cornerstone of all the monitoring and control development that follows.Next, we derive a battery diagnosis system with a twofold objective. First, indicators for internal faults affecting the battery state-of-health are obtained. Secondly, detection and isolation of sensor faults is achieved. Both tasks rely on state observers designed from electrochemical models to perform state estimation and residual generation. Whereas the former solution resorts to system identification techniques for health monitoring, the latter solution exploits fault diagnosis for instrumentation assessment.We then develop a feedback battery charge strategy able to push in performance while accounting for constraints associated to battery degradation. The fast and safe charging capabilities of the proposed approach are ultimately validated through long-term cycling experiments. This approach outperforms widely used commercial charging strategies in terms of both charging speed and degradation.The main contribution of this thesis is the exploitation of first principles models to develop battery management strategies towards improving safety, charging time and lifetime of battery systems without jeopardizing performance. The obtained results show that system and control theory offer opportunities to improve battery operation, aside from the material sciences contributions to this field. / Doctorat en Sciences de l'ingénieur et technologie / info:eu-repo/semantics/nonPublished

This study is an investigation if a recurrent long short-term memory (LSTM) based neural network can be used to estimate the battery capacity in electrical cars. There is an enormous interest in finding the underlying reasons why and how Lithium-ion batteries ages and this study is a part of this broader question. The research questions that have been answered are how well a LSTM model estimates the battery capacity, how the LSTM model is performing compared to a linear model and what parameters that are important when estimating the capacity. There have been other studies covering similar topics but only a few that has been performed on a real data set from real cars driving. With a data science approach, it was discovered that the LSTM model indeed is a powerful model to use for estimation the capacity. It had better accuracy than a linear regression model, but the linear regression model still gave good results. The parameters that implied to be important when estimating the capacity were logically related to the properties of a Lithium-ion battery.En studie över hur väl ett återkommande neuralt nätverk kan estimera kapaciteten hos Litium-ion batteri hos elektroniska fordon, när en en datavetenskaplig strategi har använts.

Ce travail concerne la recherche et le développement de nouveaux matériaux à base d'étain, pour une application comme électrode négative des batteries rechargeables lithium ion. Afin de comprendre la relation Structure-texture-propriétés permettant d'optimiser le matériau, un ensemble de techniques de caractérisation complémentaires (Diffraction des rayons X, Microscopie électronique à balayage, analyse thermiques et gravimétriques ATD-ATG, spectroscopie Mössbauer de 119Sn et absorption X) ont été associées pour caractériser l'ordre global et l'ordre local dans le matériau. Une analyse détaillée du mécanisme de fonctionnement du matériau composite [Sn-BPO4], réalisée en couplant des méthodes électrochimiques et spectroscopiques, a permis de comprendre la réversibilité du système et de mettre en évidence les intermédiaires réactionnels grâce notamment à la spectroscopie Mössbauer in situ de 119Sn. Le matériau composite testé dans des cellules de laboratoire, montre des caractéristiques électrochimiques intéressantes, une capacité massique de 500 mAh/g et une bonne tenue en cyclage. Ces performances sont liées fortement à la meilleure dispersion de l'élément électroactif et à un solide accrochage à la surface de la matrice grâce à une interface amorphe formée entre les deux composants. Le matériau optimisé a été testé dans des conditions industrielle proposées par la société SAFT-Bordeaux, dans le but d'étudier l'effet de la technologie d'électrode sur les performances électrochimiques

Many material properties depend on specific details of microstructure and both optimal material performance and material reliability often correlate directly to microstructure. In nano- and micro-systems, the material's microstructure has a characteristic length scale that approaches that of the device in which it is used. Fundamental understanding and prediction of material behavior in nano- and micro-systems depend critically on methods for computing the effect of microstructure. Methods for including the physics and spatial attributes of microstructures are presented for a number of materials applications in devices. The research in our group includes applications of computation of macroscopic response of material microstructures, the development of methods for calculating microstructural evolution, and the morphological stability of structures. In this review, research highlights are presented for particular methods for computing the response in: 1) rechargeable lithium ion battery microstructures, 2) photonic composites with anisotropic particulate morphologies, 3) crack deflection in partially devitrified metallic glasses. / Singapore-MIT Alliance (SMA)

The role of nanohybrid materials in the fields of polymer composites and electrochemical energy systems is significant since they affect the enhanced physical properties and improved electrochemical performance, respectively. As basic nanomaterials, carbon nanotubes and graphene were utilized due to their outstanding physical properties. With these materials, hybrid nanostructures were generated through a novel synthesis method, modified sol-gel process; namely, carbon nanotubes (CNTs)-maghemite and reduced graphene oxide (rGO)-maghemite nanohybrid materials were developed. In the study on polymer composities, developed CNTs-maghemite (magnetic carbon nanotbues (m-CNTs)) were readily aligned under an externally applied magnetic field, and due to the aligned features of m-CNTs in polymer matrices, it showed much enhanced anisotropic electrical and mechanical properties. In the study on electrochemical energy system (Li-ion batteries), rGO-maghemite were used as anode materials; as a result, they showed improved electrochemical performance for Li-ion batteries due to their specific morphology and characteristics.

Electric vehicles (EVs) offer an exciting opportunity in China both in terms of the potential to build a domestic manufacturing base and the potential to create a strong domestic market for the product. The Chinese nation stands to benefit from both supply-side and demand-side promotion due to the economic stimulus from EV manufacturing and export, the environmental benefits of reduced air pollution and reduced greenhouse gas emissions, and the energy security benefits of transitioning away from foreign oil dependence. The Chinese have several advantages when it comes to stimulating EV industry development and EV deployment, including: leadership in battery technology, great potential for cost competitiveness, an enormous and emerging number of new car buyers, and high level government support. Yet a number of challenges must be taken into account as well, including: shortfalls in overall automobile R&D spending, consumer concerns about Chinese cars’ safety and reliability, enhancing the appeal of the Chinese brand, and heavy national infrastructure demands. This paper will seek to examine the opportunities and challenges associated with EV deployment in China and identify industry actions and policy measures to facilitate the process.

Die wachsende Weltbevölkerung und die stetigen Entwicklungen in der Industrie benötigen einerseits immer größere Mengen an Grundchemikalien und führen andererseits zu einem ständig steigenden Energiebedarf. Die Dissertation behandelt daher die Themen Zeolithe und Kathodenmaterialien, welche zwei aktuelle Forschungsschwerpunkte der chemischen Industrie darstellen. Der Fokus der Arbeit lag in der Steuerung der Partikelgröße durch die hydrothermale und mikrowellenunterstützte Kristallisation.

Electrochemical copolymerizations of thiophene (Th) and 3,4-ethylenedioxythiophene (EDOT) was performed in this study. Incorporation of Th with EDOT units have accelerated deposition rate in relative to the simple polymerization behavior of EDOT. The electrochemical properties of poly(thiophene-co-3,4-ethylenedioxythiophene) (PTh-EDOT) are different from the homopolymers of polythiophene (PTh) and poly(3,4-ethylenedioxythiophene) (PEDOT). PTh-EDOT were then served as cathode materials of lithium-ion (Li-ion) batteries to test their capability to transfer lithium ion in 1.0 M LiPF6/ethylene carbonate/dimethyl carbonate solution. PTh-EDOT copolymer prepared from the monomer ratio of 1/1 (Th/EDOT) shows better stability than PEDOT and PTh homopolymers, polymer property enhancement by copolymerization is thus demonstrated. A composite electrode material PEDOT/LiCoO2 was prepared from the electrochemical polymerization of EDOT on LiCoO2 electrode was primarily prepared to inspect the influence of PEDOT on the electrochemical features of LiCoO2. Scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) show the successful deposition of PEDOT over LiCoO2 particles. Compared to the simple LiCoO2 electrode, PEDOT/LiCoO2 composite cathode shows enhanced properties including rate capability and cycle stability for potential Li-ion battery application. Nevertheless, differential scanning calorimetry (DSC) scans on the fully charged cathodes imply that PEDOT may reduce the thermal stability of LiCoO2. Two carbon materials, vapor grown carbon fibers (VGCF) and nano-scaled Ketjen black EC (KB), were implemented into LiCoO2 electrode. The influence of different carbon additive and their content on the performance of LiCoO2 such as rate capability and cycle ability has been evaluated. KB shows more positive effects than VGCF even in the case of a low 1 wt% content. Furthermore, incorporation of PEDOT was made by electrochemical deposition of EDOT on the preformed LiCoO2-VGCF and LiCoO2-KB composite electrodes. The influence of the carbon additives and the conductive PEDOT polymer on LiCoO2 was then investigated. Compared to the electrodes without PEDOT coating, PEDOT-incorporated composite electrodes show larger capacity, better transfer rate of lithium ions in electrolytes, and enhanced cycle ability. The electrochemical deposition of PEDOT on the LiCoO2/nano-carbon cathodes provides a new approach to implement the conducting polymers in Li-ion batteries.

This thesis studies State-of-Charge (SOC) method for widely used lead-acid batteries and the most prospective lithium-ion batteries. First, the relationship between the battery capacity and the open-circuit-voltage under different charging/discharging currents is investigated based on the equivalent circuit. Experimental results indicate that the open-circuit-voltage of the lead-acid battery varies regularly with the charging/discharging current and the duration of time for the battery disconnected from the load. Accordingly, a dynamic open-circuit-voltage method in considerations the open-circuit-time and the previous operating current is capable of precisely estimating the battery capacity in a shorter time. As for the lithium-ion batteries, their charging/discharging characteristics reveal that the Coulomb/Ampere-Hour Counting method is capable of yielding accurate estimations. Finally, through the experiments that emulate practical operations, the SOC estimations of batteries are verified to demonstrate the effectiveness and accuracy of the proposed methods.

The rechargeable lithium ion batteries (LIB) are playing increasingly important roles in powering portal commercial electronic devices. They are also the potential power sources of electric mobile vehicles. The first kind of the cathode materials, LiXCoO2, was commercialized by Sony Company in 1980s, and it is still widely used today in LIB. However, the high cost of cobalt source, its environmental unfriendliness and the safety issue of LiXCoO2 have hindered its widespread usage today. Searching for alternative cathode materials with low cost of the precursors, being environmentally benign and more stable in usage has become a hot topic in LIB research and development. In the first part of this study, lithium nickel manganese cobalt oxide (LiNi0.6Mn0.35Co0.05O2) is studied as the electrode. The materials are synthesized at high temperatures by solid state reaction method. The effect of synthesis temperature on the electrochemical performance is investigated, where characterizations by, for example, X-ray diffraction (XRD) and scanning electron microscopy (SEM), for particle size distribution, specific surface area, and charge-discharge property, are done over samples prepared at different conditions for comparison. The electrochemical tests of the rechargeable Li ion batteries using LiNi0.6Mn0.35Co0.05 cathode prepared at optimum conditions are carried out in various voltage ranges, at different discharge rates and at high temperature. In another set of experiments, the material is adopted as anode with lithium foil as the cathode, and its capacitance is tested. In the second part of this study, the iron based cathode material is investigated. Lithium iron orthosilicate with carbon coating is synthesized at 700℃ by solid state reaction, which is assisted by high energy ball milling. Characterizations are done for discharge capacities of the samples with different carbon weight ratio coatings. / published_or_final_version / Physics / Master / Master of Philosophy