Showing 105–108 of 118 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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Accelerating Factory Ramp-up and Quality Through Advanced In-line Electrochemical Techniques
Battery quality issues in production — more specifically, slow identification of issues — severely hamper both new factory ramp-up and in-field device performance and reliability.
By leveraging electrochemical techniques and the fundamental signatures of batteries during the end-of-line process, we can: 1) identify poor-performing cells before they would be otherwise be identified, 2) quickly correlate performance issues to upstream root cause, and 3) identify which electrochemical metrics are best correlated with long-term performance.
In the webinar, we will delve into strategies to leverage end-of-line electrochemical characteristics, encompassing thermodynamics, kinetics, and transport phenomena. The analysis of these fundamental metrics enables the identification of quality issues early to accelerate new factory ramp-up and ensure the performance and reliability of shipped devices.
This webinar will focus on the following key topics:
• The multi-year, multi-billion-dollar battery factory scale-up challenge
• The impact of battery quality variation on devices in the field
• Techniques to understand the fundamental electrochemical signatures of batteries
• Use of these techniques to accelerate factory ramp-up and improve shipped production qualityPresenter
Blake Hawley – Sr. Battery Engineer at VoltaiqBlake obtained a PhD from the University of Tennessee in Energy Science and Engineering and performed his dissertation research at Oak Ridge National Laboratory. In his career, he has developed next-generation electrode processing methods, including water-processed cathodes and dual-layered electrodes. He also has industrial experience with materials quality assurance, cell testing, and cobalt-free cathode technology.
Voltaiq is a proud sponsor of this event.
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Advances in Battery Performance and Safety Testing using Calorimetry
This presentation describes two main types of calorimetric techniques that can be used to carry out performance and safety testing on high-energy batteries.
The first half of the presentation introduces isothermal calorimetry; focused on the new IBCx system from Thermal Hazard Technology (THT). Method of operation, hardware overview and examples of data will be presented.
The second half of the presentation covers battery testing methods for the ARC adiabatic calorimeter system. The theoretical background of the test method will be described, and new developments to address blade-type batteries and high ampere-hour cells will be presented.
The presentation also mentions complementary test methods and optional modules that can be integrated with calorimetry to provide more useful analysis. For example; fast-tracking heaters, online gas analysis etc.
This webinar will focus on the following key topics:
• Principles of isothermal and adiabatic calorimetry testing for high-energy batteries
• Advantages and limitations of these two methods
• New product developments from THT to address market test requirements
• Discussion of THT lab testing resultsPresenter
Matthew Stewart – Application Scientist at THTMatthew Stewart joined Thermal Hazard Technology UK in 2021 following his graduation from Swansea University with a master’s degree in chemical engineering. In two years he has accrued a wealth of experience in battery testing and instrumentation. In his role as Application Scientist, he helps to manage THT’s test lab and carries out cutting-edge testing on the latest energy-dense cell designs. Matt has worked with several of the UK’s leading motorsports, aviation and performance vehicle manufacturers.
THT is a proud sponsor of this event.
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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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