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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.
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Billions of dollars have recently been invested into advanced energy storage systems initiatives globally. These include further development of R&D and manufacturing advancements in xEV batteries, stationary power systems, “beyond lithium” technologies, and more. NextEnergy will share some knowledge gained through its suite of venture support services, including access to funding opportunities, & in-depth value chain and market analyses, based on primary & secondary research.
This webinar will highlight some key market and R&D trends, key innovators in the energy storage space, and take a high-level look at other initiatives influencing “what’s next” in the field of advanced energy storage, with an emphasis on Li Ion batteries for automotive applications.
This webinar will focus on the following key topics:
• NextEnergy’s capabilities, and a sneak preview of NextEnergy’s Li Ion battery value chain. This work is primarily focused on automotive applications
• Key general trends in the energy storage sector, in terms of manufacturing, R&D, and market trends
• A brief review of select early stage companies offering innovative solutions to the energy storage community
• Select novel R&D initiatives in the Li Ion and “beyond lithium ion” spaces will be presented, at a high-level, and “what’s next” in energy storage systems will be addressedPresenter
Kelly Jezierski – Energy Storage Manager, NextEnergy
Kelly Jezierski has been with NextEnergy for over 7 years. NextEnergy is one of the nation’s leading accelerators of advanced energy technologies, businesses and industries. Kelly is leading a joint initiative funded by the US Department of Commerce and Michigan Economic Development Corporation (MEDC) to foster growth in the advanced energy storage cluster and fill gaps in the domestic supply chain. Kelly holds a Bachelor of Science degree in Chemical Engineering and a Master of Science degree in Alternative Energy Technologies degrees, both from Wayne State University.
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RTE impacts of HVAC/Ventilation and Inverters will be described. Batteries generate heat, and this must be dissipated by system cooling and/or taken out of the system. Heat generated can be calculated by looking at IR heating and that generated (net) by exothermic reactions. Examples will include LFP, Li-NMC, Lead Acid and Nickel batteries, both when they are fresh, as well as at their end of useful life. The overall ancillary equipment energy usage will be listed for these systems, and a % RTE loss will be calculated for both nominal rate and high rate applications. Commentary will be provided for other systems. RTE will be summarized and ranked for most energy storage battery chemistries including ZA, NaS, LiS, Saltwater, Liquid Metal, Zinc Bromine and Fuel Cells.
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• RTE impacts of Inverters and HVAC
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Dr. Halle Cheeseman – Founder/President at Energy Blues LLCDr. Halle Cheeseman earned a PhD in Electrochemistry & Corrosion from the University of Nottingham in UK, graduating in 1985. She has held several executive positions in the battery industry over the past 32 years, including Sr. VP of R&D at Spectrum Brands and VP of R&D at Exide Technologies. Her specific battery experience includes Lithium Ion, Zinc Air, Nickel Metal Hydride, Nickel Iron, Alkaline and Lead Acid, focusing on Consumer, Industrial, Automotive & Renewable Energy applications. In July 2017, Dr. Cheeseman founded Energy Blues LLC, an energy storage consulting cooperative comprising 20+ subject matter experts.
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dSPACE provides comprehensive solutions for E-Drive or BMS development, from providing proper hardware I/O interfaces for prototyping/testing these applications to real-time models for simulation of these controlled systems. There is also the need for consideration of power and safety requirements and precision of the simulation or control capability.
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FREE Webinar – Thermal Hazard Technology is a proud sponsor of this event.
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