My master thesis is focused on intorducing, analysing and describing the microprocessor controlled charger. The thesis is firstly describing and analysing the topic of accumulator cell charging for common technologies. Than there is detailed description of specific accumulator cell types (NiMH, NiCd and Li-ion) which is the microprocessor controled charger intend for. The next part of this thesis is showing the proposal of the charger. There is the block diagram, charger detailed schematics based on this block diagram. There is also list of the possible useful componets neccessary for charger assembling. All this is used for the final proposal of the chager itself. The main scope of this thesis is than the charger's microcontroler firmware decribed at the end of this thesis. Finaly confirmation of the charger proper proposal and assembly is the battery charging with the given basic parameters.

The talk will discuss recent synthesis strategies to oxides and carbons with 3-D architecture and will try to evaluate the advantages, challenges and perspectives of such materials for Li ion insertion and diffusion in view of improved performance in battery systems.

We will introduce our approach to prepare and investigate thin film materials for application in all solid state batteries by using integrated UHV preparation facilities.

Performance degradation of lithium-ion batteries (LIBs) from in-service abuse was analyzed using novel dynamic abuse tests and sensor-based in-situ monitoring of battery state of health (SOH). The relation between dynamic impact and structure changes of LiCoO₂ (LCO) electrode was analyzed through a nano-impact test directly applied to the electrode and Raman imaging. After the electrode structure damage induced by the dynamic loading was analyzed, the performance of the LIBs with the abused electrodes was evaluated to establish the relation between the number of impact cycles and LIB performance degradation. The mechanism of impact related LIB capacity decrease was analyzed, and the capacity change can be predicted based on the impact abuse history using this approach. In order to provide more detailed information on the battery performance degradation caused by the in-service dynamic loads, a dynamic aging testing platform was designed to simulate in-service vibration and impact experienced by the LIBs. Based on the lessons learned, a sensor network was constructed to provide a comprehensive in-situ evaluation of the SOH of commercial batteries. Mechanisms of LIB capacity fade, temperature increase, and cell deformation from cycling in representative dynamic environments were analyzed and correlated with theoretical predictions. Difference between the aging of a battery pack and that of a single cell was also investigated, which presented the influence of current imbalance on the SOH decay of battery packs. SEM imaging, Raman imaging, and electrochemical impedance spectroscopy (EIS) analysis were also applied to support the sensor network measurements.<br><div> In order to provide an early detection of catastrophic LIB failure such as thermal runaway, an internal resistance temperature detector (RTD) based electrode temperature monitoring approach was developed. By embedding the RTD into LIBs with 3D printing technique, electrode temperature can be collected during ordinary cycling and electrical abuse of LIBs, such as external short circuit and overcharge. The internal RTD presented high measuring efficiency, while there was no interference between the sensor measurement and battery operation. The internal RTD detected the short circuit event and overcharge failure prior of time: the efficiency of the internal RTD was 6-10 times higher than the external RTD in the short circuit test. This provided the chance for early detection and prevention of catastrophic LIB failures. Besides, with the detailed information on electrode temperature evolution during LIB thermal runaway available, the internal RTD also provided the chance to enhance the understanding of the thermal runaway mechanism.</div>

<div>Electrochemical energy storage devices play an integral role in the energy transition from fossil fuels to renewable. Still, technological breakthroughs are warranted to expand this progress and enable their use where hydrocarbons are still the dominant option. The requirements restricting further adoption of electrochemical devices are related to energy density, hampering costs of raw materials with the increased global demand, and safety in large scale operations. Furthermore, new applications in flexible electronics add new requisites to this list. Pushing these limits involves multidisciplinary efforts where the mechanics are a crucial part.</div><div> </div><div>This thesis explores the mechanical and kinetic behaviors of batteries at the nano to micro-meter scale through operando mechanical and optical characterization during ongoing electrochemical reactions. A unique experimental platform that enables simultaneous nanoindentation and electrochemical testing of active materials is developed. The validity of mechanical testing during operation in the customized liquid cell is systematically addressed. The evolution of the mechanical properties of electrodes as a function of lithium concentration is probed in real-time. This functional dependence between mechanical properties and composition is then used to introduce the concept of mechanics-informed chemical profiling. This new capability enables characterizing transport kinetics in a detailed and quantitative way, including the role of pressure gradients on diffusion. Pairing these experiments with multi-physics modeling led to a new understanding of the mechanisms regulating charging-rate capability and capacity loss in Li-ion batteries. Experiments on composite electrodes showed that liquid electrolytes change the mechanical properties of both conductive matrix and secondary particles. These observations help understand the interactions between the different components of a battery and demonstrate the need for in-situ mechanical characterization capabilities. </div>

Next-generation batteries with improved microstructure and performance are on their way to meet the market demands for high-energy and power storage systems. Among different types of batteries, Li-ion batteries remain the best choice for their high energy density and long lifetime. There is a constant but slow improvement in Li-ion batteries by developing new materials and fabrication techniques. However, further improvements are still needed to meet government and industry goals for cost, cycling performance, and cell lifetime. A fundamental understanding of particle-level interactions can shed light on designing new porous electrodes for high-performance batteries. This is a complex problem because electrodes have a multi-component, multi-phase microstructure made through multiple fabrication processes (i.e., mixing, coating, drying, and calendering). Each of these processes can affect the final microstructure (particle and pore locations) differently. This work seeks to understand the porous microstructure evolution of Li-ion electrodes during the drying and calendering fabrication processes by a combination of modeling and experimental approaches. The goal is to understand the mechanisms by which the electrode components and fabrication processes determine the battery microstructure and subsequent cell performance. A multi-phase smoothed particle (MPSP) model has been developed on a publically available simulation platform known as LAMMPS. This model was used to simulate particle-level interactions and predict the mechanical and transport properties of four fabricated electrodes (i.e. a graphite anode and three traditional metal oxide cathodes). One challenge was to include different electrode components and their interactions and relate them to physical properties like density and viscosity that can be measured experimentally. Another challenge was to generate required electrode property data for model validation, which in general was not found in the literature. Therefore, a series of experiments were conducted to provide that information, namely slurry viscosity, electronic conductivity, porosity, tortuosity, elastic modulus, and electrode crosssections. Understanding these properties has value to the battery community independent of their use in this study. The MPSP model helps us explain observed transport heterogeneity after calendering but brings up new questions about the drying process that have not been addressed in previous works. Therefore, the drying fabrication step was studied experimentally in more detail to fill this knowledge gap and explain our simulation results. The MPSP model can also be used as a predictive tool to explore the design space of Li-ion electrodes where conducting the actual experiments is very challenging. For example, the distinct effect of particle size, shape, orientation, and stiffness on electrode transport and mechanical properties are difficult to determine independently, and therefore this model is an ideal tool to understand the effect of these properties. The final model, which is publically available, could be used with adjustments by future workers to test new materials, fabrication processes, or electrode design (e.g., a multi-layered structure).

Rechargeable lithium-ion batteries are a staple of modern society, providing power to a significant portion of the world's electronics and rapidly replacing older power sources. The advent of widely available electric cars with batteries of up to 200 kWh, with an increasing emphasis on fast charging, has only increased their importance. Lithium-ion battery electronic and ionic properties are largely determined by the microstructure of the battery electrode film and can be heavily influenced by relatively small variations in film makeup, including the formation of voids or distribution of carbon and binder. Prior to this research, electrical properties, which are some of the most important characteristics to battery cost, performance, and safety, were either difficult or, in the case of contact resistance, impossible to directly measure. This dissertation focuses on the development and use of a micro-surface probe for measurement and mapping of lithium-ion battery film electronic characteristics. The measurement apparatus, inversion and mapping routines, and experimental data presented provide manufacturers and researchers with a better understanding of battery heterogeneity and the influence of microstructure on electrical properties. The micro-surface probe was used to map spatial variation on both a macro and micro scale; compare physical, electrical, and ionic properties; and validate tests that were previously used to estimate electronic parameters. Experiments on commercial-quality battery electrode films showed higher micro-heterogeneity than was previously assumed by a significant margin. Additionally, electronic and ionic properties were shown to not always be inversely related and some physical explanations for observed variation were explored. Macro-variations were measured and shown to exist across electrode films which were previously assumed to be uniform. Finally a comparison to the mechanical peel test, a common test used in industry as a proxy measurement of electrical contact resistance, proved the peel test to be inconclusive and showed that it will not always accurately reflect electrical properties of films. Direct measurements of both electrical conductivity and contact resistance provide a new and important tool to advance understanding and development of lithium-ion batteries. The magnitude of the measured resistivities and their significant variation demonstrates that a better understanding of film properties is needed and will significantly influence our understanding of modern battery parameters and the effects of manufacturing techniques on battery performance.

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