Showing 13–16 of 17 results
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Low Data Machine Learning for Accelerated Degradation Prediction of Lithium-ion Batteries
Meeting the demand for reliable energy storage, this work presents a machine-learning model for precise cycle life prediction in lithium-ion batteries (LIB). It explores battery aging features, utilizes data-driven methods for health assessment, and applies machine learning to predict cycle life. To address data limitations, synthetic data generation is employed, enhancing prediction accuracy. The presentation concludes by demonstrating the practical deployment of the proposed ML model for accelerated degradation prediction (for battery cell development and manufacturing feedback) and onboard deployment of low data AI on in-operation energy management. Discussions cover crucial aspects such as battery aging, data-driven health measurement, and the model’s versatility in handling accidental effects during operation.
This webinar will focus on the following key topics:
• Accelerated degradation based on low data AI for battery development for targeted applications
• Data-driven insights: machine learning for battery state of health assessment
• Prediction of rejection thresholds during cell manufacturing for application oriented cell development
• Prediction of targeted C-Rates for specific device applications
• Real-world impact: practical deployment of low data ML during real time device operationPresenter
Dr. Vikas Tomar – Professor at Purdue UniversityProf. Tomar’s interests lie in directed cell development using low data AI and vertical integration of targeted cells in c-rate and energy density specific devices. His research group has published extensively in topics related to developing data-driven models for agnostic BMS in UAVs and EVs, predicting degradation of COTS Li-ion batteries. The technology is now part of a startup, Primordis Inc., focused on launching vertically integrated Li-ion cells in autonomous systems within the framework of autonomous energy intelligence using an ASIC technology.
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Physical Vapor Deposition (PVD) in Solid-State Battery Development – A Novel and Cost-Effective Approach
Physical Vapor Deposition (PVD) is a method widely used across industry to deposit a very thin layer of a material on a surface to alter its properties. The technique has been utilized in various areas of battery research, including solid-state batteries.
A key challenge with solid state batteries is the high impedance at the interface between the cathode and the electrolyte. PVD is ideally suited to develop model systems to study and look to improve this problem.
PVD also allows high throughput screening of different materials to accelerate new composition developments with enhanced electrochemical properties.
The HEX series of PVD instruments has some key benefits for battery research. It is a cost-effective solution that is mounted below an existing glovebox, allowing continued use of the glovebox for other purposes and easy access to the vacuum chamber for modification and cleaning. The highly modular nature allows configuration changes without specialist tools, enabling changes in research direction without additional costs.
This webinar will focus on the following key topics:
• PVD techniques are a valuable tool in a wide spectrum of battery research
• Develop model systems to study interfacial phenomena
• High throughput screening of different materials to accelerate new composition developments with enhanced electrochemical properties
• Introduction to the HEX series of PVD instrument and its unique advantages for researchPresenter
Dr. Jessica Stoner – Product ManagerJess is the Product Manager for the HEX series at Korvus Technology. She manages all technical aspects of the HEX both behind the scenes and in direct contact with users new and old. Before joining Korvus in 2021, she worked as a researcher at the Materials Innovation Factory at the University of Liverpool.
Korvus Technology is a proud sponsor of this event.
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Advancements in Physical Vapor Deposition (PVD) for Battery Research
Physical Vapor Deposition (PVD) is used industrially for depositing nanometers-to-microns of a material to produce functional layers/alter surface properties. The technique is paramount in pioneering the development of solid-state/lithium-ion batteries.
Key solid-state challenges are impedance at the cathode-electrolyte interface, volumetric energy density, and dendrites/crack formation during cycling. PVD is ideally suited to manufacturing promising solutions, whilst allowing high-throughput screening of novel material compositions to enhance electrochemical properties.
The HEX is a cost-effective system, mountable beneath an existing glovebox for fully inert development. The unique configuration maximizes glovebox space and enables easy atmosphere-side modification/cleaning. The high modularity facilitates changes without specialist tools, enabling rapid changes in research approach without additional costs. Integration of sputtering/thermal/e-beam/organic evaporation/substrate heating allows extensive material production capabilities.
This webinar will focus on the following key topics:
• PVD techniques used to produce functional layers/alter surface properties
• Development of model systems to study interfacial phenomena
• High throughput screening of novel materials to enhance electrochemical properties
• Introduction to the HEX series of PVD instrument and its key advantages for research, including unique mounting position below the gloveboxPresenter
Dr. Bryan Stuart – Head of R&D, Korvus TechnologyBryan Stuart has over 10 years of experience in the development of next generation Physical Vapor Deposition (PVD) technologies for enhancing manufacturing capabilities in Energy Storage applications from Solar Cells to Solid State Batteries. He leads R&D at Korvus Technologies as they seek to broaden and scale their product range.
Korvus Technology is a proud sponsor of this event.
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Challenges in Processing Large-Scale Sulfide-Based All-Solid-State Batteries
Sulfide-based all-solid-state batteries are one of the most promising next generation energy storages. Especially the chlor-Argyrodite material Li6PS5Cl and ceramic sulfide Li7P3S11 are attractive solid electrolyte materials due to their high ionic conductivity. To date a lot of research in terms of material chemistry and cell design is presented in literature. From a production point of view, process parameter studies and process engineering are rarely addressed. To fabricate a thin-film sheet of the separator or composite cathode, conventional wet coating techniques from lithium-ion battery production can be applied, but processing has to be adapted to the properties of the sulfidic materials. Besides stable production atmospheres, the optimized processing is crucial to achieve the maximum possible energy density.
This webinar will focus on the following key topics:
• Changes in Manufacturing Processes from LIB to ASSB
• Requirements for Stable Production Atmospheres
• Choice of Process Parameters (Mixing, Coating, Drying)
• Correlation between cell energy density and optimizing manufacturing processesPresenter
Celestine Singer – Research Associate at TUMint. Energy Research GmbHCelestine Singer is a Research Associate and PhD Candidate for All-Solid-State Battery Production at TUMint. Energy Research GmbH. Previously, she studied Mechanical Engineering at RWTH Aachen, TU München in Germany and holds a M.Sc. degree.
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