Battery Intelligence Podcast

Brad Newton, Lawrence Harvey

Welcome to the Battery Intelligence Podcast, hosted by Brad Newton from Lawrence Harvey. Join us as we explore Battery AI, discussing topics like integrating data analytics for EV performance, AI and ML in experimental facilities, and machine learning-based lifetime prediction. Discover advancements in charging optimization, uncertainty-aware algorithms, and physics-informed ML for fault feature extraction. We aim to provide reliable insights into electric vehicle health, safety, and performance. Subscribe for thought-provoking discussions at the intersection of AI, ML, and battery technology,

الحلقات

  1. ١٨‏/٠٩‏/٢٠٢٤

    Risk Management and Commodity Trading from a BESS perspective with Rishi Sahay, VP at Mobius Risk Group

    In this episode of the Battery Intelligence Podcast, we dive into the world of risk management and commodity trading with Rishi Sahay, Vice President at Mobius Risk Group. Rishi shares how Mobius engages with Battery Energy Storage System (BESS) operators to set trading risk policies, evaluate day-ahead and real-time bidding strategies, and navigate the complexities of OTC markets. We explore the process of renewable and battery project valuation, hedge policy development, investment analysis, and the advantages of working with a specialized firm like Mobius versus building an in-house risk team. The conversation also touches on challenges posed by varying ISO regulations and offers a glimpse into the Mobius roadmap for the future. If you're interested in the intersection of energy storage and commodity trading, this episode is a must-listen! Rishi Sahay is a seasoned finance professional with over 20 years of experience in energy and commodity risk management. As Vice President at Mobius Risk Group, he helps clients navigate the complexities of physical, financial, and commodity trading risk management. Mobius serves over 100 clients across energy, metals, and agriculture, offering expertise in everything from hedging strategies to CTRM services. To speak to host, Brad Newton, please email him at b.newton@lawrenceharvey.com

    ٣٧ من الدقائق
  2. ١٩‏/٠٧‏/٢٠٢٤

    Ultrasonic and Machine Learning Tech for Advanced Battery Cell Inspection with Andrew Hsieh, Co-Founder/CEO at Liminal Insights

    In this episode of the Battery Intelligence Podcast, we delve into the cutting-edge technology shaping the future of battery inspection with Andrew Hsieh, the co-founder and CEO of Liminal Insights. Andrew shares his expertise on how ultrasonic inspection combined with machine learning analytics can revolutionize the manufacturing stages of battery cells. We explore: - Andrew’s background and journey - Liminal’s mission and vision - The science behind using ultrasound for battery inspection - An in-depth look at EchoStat® - The impact of AI and machine learning on battery technology - Current products and partnerships - Liminal’s future roadmap and vision for the industry Join us for an enlightening conversation that uncovers the intersection of advanced technology and the battery industry. About the Guest Andrew Hsieh is a pioneering figure in the battery technology sector, serving as the co-founder and CEO of Liminal Insights. With a PhD in Chemical and Materials Engineering from Princeton and a BS in Chemical and Biomedical Engineering from UCLA, Andrew has dedicated his career to enhancing battery performance and reliability. At Liminal, he co-invented EchoStat®, a groundbreaking product that leverages ultrasonic inspection and machine learning analytics to provide an unparalleled view inside battery cells, facilitating advanced inspection throughout the manufacturing process. Andrew’s work is pivotal in driving the production of cost-effective and high-performing batteries, crucial for our transition to a clean energy future. Tune in to gain valuable insights into the innovations transforming the battery industry and learn from one of its leading experts.

    ٢٢ من الدقائق

حول

Welcome to the Battery Intelligence Podcast, hosted by Brad Newton from Lawrence Harvey. Join us as we explore Battery AI, discussing topics like integrating data analytics for EV performance, AI and ML in experimental facilities, and machine learning-based lifetime prediction. Discover advancements in charging optimization, uncertainty-aware algorithms, and physics-informed ML for fault feature extraction. We aim to provide reliable insights into electric vehicle health, safety, and performance. Subscribe for thought-provoking discussions at the intersection of AI, ML, and battery technology,