Pre-Recorded Webinars

Showing 21–24 of 149 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 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 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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  Caution – You Might NOT Have Freedom to Infringe Expired Patents!

  A patent term is generally limited to twenty-years from its filing date. Since the battery industry is more than twenty-years mature, certain seminal battery patents covering active materials, electrolytes, and separators are going offline. Does that mean anyone can practice what these patents claim? Or have the patent owners found ways to evergreen and extend their effective patent terms? This webinar will discuss freedom-to-operate in view of expired patents and the second-generation patents that followed.

  This webinar will focus on the following key topics:

  • Seminal battery patents that were filed more than twenty-years ago are going offline
  • Does that mean you can infringe those patents with impunity?
  • It depends on whether the patent owners have found means to extend their patent monopoly
  • How can one evergreen a battery patent portfolio and what does that mean for competitors that want to practice expired patents?

  Presenter
  Todd Ostomel – Partner at Squire Patton Boggs

  Todd focuses on patent prosecution and portfolio management, patent opinions, due diligence, utility and design patent applications, and trade secret counseling. Todd has extensive experience preparing and prosecuting US and international patent applications for energy storage devices, rechargeable battery materials, small and large molecules, ceramics, polymorphs, biofuels, diagnostics, chemical processes, cryptocurrency, LEDs, photovoltaics, and machine learning technology. Todd also has extensive experience with trade secret enforcement.

  His clients appreciate his ability to understand the technical details of their inventions as well as the legal issues relevant to their business goals.

  PlugVolt is a proud sponsor of this event.

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  Detecting Large Particles and Contaminants Using Dynamic Imaging and Adaptive Diffraction on Mastersizer 3000+

  Large particles and contaminants may cause local hotspots in battery cells severely impacting safety and performance, making early detection of oversized particles an important analytical requirement. We will discuss how a combination of dynamic imaging and adaptive Laser diffraction can be used to detect oversized particles down to a few particles per million level.

  This webinar will focus on the following key topics:

  • Large particles and contaminants in electrode materials
  • Laser diffraction for particle sizing
  • Dynamic imaging for particle shape analysis and large particle detection
  • Adaptive diffraction for large particle detection

  Presenter
  Umesh Tiwari – Market Development Manager, Advanced Battery at Malvern Panalytical

  Dr. Umesh Tiwari is the Market Development Manager, Advanced Battery at Malvern Panalytical. He has a Ph.D. in physics and has 17 years of experience working with academia and industries for lab and online solutions for advanced research and enhanced productivity. His expertise is in the structural, elemental, and morphological characterization of powder, slurry, and finished materials including online monitoring for process and quality controls. He has been closely associated with many development projects within Malvern Panalytical to bring technological enhancement in characterization tools to benefit battery research and manufacturing.

  Malvern Panalytical is a proud sponsor of this event.

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  Ateios Systems Demo Day – The Fastest and Only Way to Build 240 TWh of High-Energy, Sustainable Batteries

  By 2050, the world will need 240 TWh of battery storage to power AI, mobility, automation, and energy systems. Ateios Systems will unveil how its RaiCure™ platform is redefining electrode manufacturing, delivering record-setting throughput, eliminating PFAS and solvents, and cutting costs without compromising performance.

  Attendees will get a first look at our newest RaiCore™ products, hear from partners who are already integrating them into production, and learn how to adopt the platform now. If you’re a battery OEM, CAM supplier, or integrator looking to future-proof your supply chain, this is the event you don’t want to miss.

  This webinar will focus on the following key topics:

  • World-record setting updates on RaiCure™ Electrode Manufacturing Platform
  • New product lines targeting 80% of the global battery market
  • Gen 4 RaiCore™ LCO performance
  • End-to-end PFAS-, solvent-free, recycling production process
  • Testimonials OEMs, suppliers & manufacturing partners

  Presenter
  Rajan Kumar – CEO at Ateios

  Dr. Rajan Kumar is a Forbes-recognized nanoengineer and deep-tech entrepreneur with over 15 years of experience in advanced materials and energy systems. He founded Ateios Systems in 2018 after inventing the world’s first all-printable, stretchable battery, an innovation that sparked the company’s journey toward scalable, next-generation manufacturing.

  Today, Ateios is pioneering the world’s only solvent-free, PFAS-free electrode manufacturing platform, achieving speeds that exceed GWh production rates. Under Dr. Kumar’s leadership, the company became the first battery startup to reach profitability in under three years, reaching this milestone with just $2.5 million in venture capital. With less than $5 million in total funding, Ateios is now shipping PFAS-free electrodes to top-tier battery manufacturers worldwide, driving the industry toward safer, faster, and more sustainable product.

  Ateios is a proud sponsor of this event.

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