$99.00
This work presents a set of hierarchical machine learning (ML) models for precise cycle life prediction in lithium-ion batteries (LIB), LIB packs, and system-level LIB packs. To address data limitations, synthetic data generation is employed across different scales, enhancing prediction accuracy. The presentation concludes by demonstrating the practical deployment of these ML models for accelerated degradation prediction—useful in battery cell development and manufacturing feedback—and the onboard implementation of low-data AI for energy management during operation. Discussions include key topics like battery aging, data-driven health assessment, and the model’s capacity to handle unexpected effects during use.
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 operation
Presenter
Dr. Vikas Tomar – Professor at Purdue University
Prof. 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 on topics related to developing data-driven models for agnostic BMS in UxVs and EVs, predicting degradation of COTS Li-ion batteries. The technology is now part of a startup, Primordis Inc., focused on launching small language models for autonomous systems within the framework of autonomous energy intelligence.
Related products
-
Battery Ageing – How Modeling is Used to Predict Battery Life
Battery modeling and simulation makes it possible to analyze multiple operating conditions and design parameters for batteries and other electrochemical systems and processes. By developing mathematical models you can begin to understand the interaction of electrochemical and chemical processes in the battery and how these processes affect the performance and life of the battery.
In this presentation, we will take a look at the benefits of modeling and simulation in the design, selection, and operation of a lithium-ion battery. We will especially take a look at how modeling can be used together with testing. These results provide manufacturers and application experts with the data to not only predict battery life but to analyze the implications of design parameters and operating conditions to better understand the limitation of the battery.
This webinar will focus on the following key topics:
• Benefits of modeling and simulations in the design, selection, and operation of a lithium-ion battery
• Implications of design parameters and operating conditions with respect to experimental observations of battery performance, aging, and battery safety
• How battery modeling can be used together with testingPresenter
Tom O’Hara – Global Business Manager, Intertek
Tom O’Hara is the global business manager / advisory services for Intertek’s energy storage programs. Aside from his consulting role, Tom supports U.S. and European marketing and sales efforts and APAC CTIA certification efforts. As a 30-year veteran of the battery technology field, Tom has worked in Energizer Battery’s R&D sector and consulted with several start-up battery companies. He is also the co-inventor of the world’s first successful mercury-free zinc air button cell and holds seven U.S. patents. He obtained both a B.S. and M.S. in chemistry from Wake Forest University in North Carolina.
Buy Now -
Characterizing Performance and Determining Reliability of Batteries for Medical Applications
As the number and variety of battery powered devices used in medical applications grows, batteries are playing an ever more important role in determining the reliability of these devices. Unlike the portable consumer electronics industry where high unit volumes can justify the design and manufacturing of custom batteries, the medical device industry must often utilize standard, off-the-shelf batteries for their devices. Even when the production of custom batteries is justified, few battery manufacturers appreciate the level of quality and reliability that is required by the medical device industry.
In this webinar we will look at how to quantify the performance characteristics of batteries in a way that allows direct comparisons to be made between various vendors, form factors and chemistries. Case studies will be presented to demonstrate common mistakes made in battery selection and use, and methods for conducting accelerated aging studies will be discussed. When properly conducted, such aging studies can be used to identify potential reliability issues, monitor the manufacturing quality of the batteries and serve as a tool to aid in the selection and qualification of various battery vendors.
This webinar will focus on the following key topics:
• What do you need to know that is not on the specification sheets?
• How do you make apples-to-apples performance comparisons between different battery types?
• When is impedance and/or capacity matching important in multi-cell configurations?
• How can quality be compared between vendors?
• How can battery longevity be predicted in specific applications?Presenter
Dr. Quinn C. Horn – Principal Engineer at Exponent, Inc.
Dr. Quinn Horn has been with Exponent for ten years. He is also a Research Affiliate at the Massachusetts Institute of Technology, where he collaborates with researchers in the Electrochemical Energy Laboratory on projects related to electric vehicles and new gas diffusion electrodes for metal-air batteries and fuel cells.
Buy Now -
Lithium Ion Capacitors – Combining Energy with Power
FREE Webinar – JSR Micro, Inc. is a proud sponsor of this event.
Lithium Ion Capacitors (LIC) are hybrids of electric double-layer capacitors (EDLCs) and lithium ion batteries (LIB). Combining the reversible non-Faradaic cathode from an EDLC and the reversible Faradaic anode from an LIB results in an ultra or super capacitor with significantly increased energy density, improved float performance and low self-discharge rates. Avoiding the lithium metal oxide cathodes from LIB’s improves the inherent safety and eliminates Cobalt content, however still combines aspects of energy & power of both cell types. The Faradaic intercalation/deintercalation reactions at the anode are capable of generating a significant amount of charge, while the non-Faradaic electrostatic storage of the electrical energy formed at the interface of the electrode and the electrolyte, known as an electric double layer, results in fast charge and discharge capabilities for hundreds of thousands, if not millions of cycles.
This webinar will focus on the following key topics:
• What is an LIC? Technology Introduction
• Key Benefits
• Safety
• EDLC vs LIC
• ApplicationsPresenter
Jeff Myron – Energy Solutions Program Manager at JSR Micro, Inc.
Since 2011 Jeff has been responsible for business development in North America of JSR group’s environmental energy products including, lithium ion capacitors (LIC) and aqueous battery binders. Jeff joined JSR in 2006 as a Technical Sales Specialist for advanced photoresists utilized in IC manufacturing. Immediately prior to JSR, Jeff worked at Molecular Imprints developing the commercial infrastructure for next generation nano imprint lithography templates. Prior to joining Molecular Imprints, he held various engineering, engineering management & product management positions at Motorola, DuPont Photomask & Brewer Science. Jeff earned a bachelor’s degree in chemistry from Illinois State University in 1990 and an MBA from Webster University in 2001.
Buy Now -
Data-Driven Battery Product Development: Turn Battery Performance Into a Competitive Advantage
FREE Webinar – Voltaiq, Inc. is a proud sponsor of this event.
Battery performance is a primary source of user dissatisfaction across a broad range of applications, and is the key bottleneck slowing the adoption of electric vehicles, renewable energy, and longer lasting, more powerful mobile electronics. Moreover, advances in battery development are continually slowed by inefficiencies and missed opportunities in analyzing the vast amounts of raw data generated during testing and operation, and the lack of effective tools to process and analyze this data.
In this webinar, we’ll present approaches to eliminate these data bottlenecks and explain how to leverage your information to help you ship quality products faster using fewer resources while ensuring safety and reliability in the field, ultimately turning battery performance into a competitive advantage.
This webinar will focus on the following key topics:
• What bottlenecks are hindering the development of new batteries and battery powered systems?
• What are your batteries trying to tell you? Expose additional value using techniques like differential capacity analysis
• Case studies on data-driven product development at each stage of the battery lifecycle: from R&D to operation in the fieldPresenter
Tal Sholklapper – CEO and Co-founder at VoltaiqTal is the CEO and co-founder of Voltaiq, an battery intelligence software company. Prior to founding Voltaiq, he worked as the lead engineer on a DOE ARPA-E funded project at the CUNY Energy Institute, developing a ultra-low- cost grid-scale battery. Before joining CUNY, Dr. Sholklapper co-founded Point Source Power, a low-cost fuel-cell startup based on technology he developed while at Lawrence Berkeley National Laboratory (LBNL) and UC Berkeley. Dr. Sholklapper earned bachelors degrees in Physics and Applied Mathematics from UC Berkeley, going on complete a PhD in Materials Science and Engineering in just two and a half years.
Buy Now