When it comes to electric power distribution, the fundamental goals of today’s electric utilities have not changed much in fifty years. They comprise a safer distribution system that poses minimal risks to the public and to utility workers, the reliable and stable delivery of power to critical, commercial, and residential customers, and economically sound business operations that meet both shareholder and ratepayer expectations. The challenges to these goals, however, have grown significantly over the past decade. Increasingly intense and frequent weather events raise the threat of outages and environmental risks; the process of shifting from a centralized to decentralized grid to meet decarbonization mandates creates complexities; and the integration of renewable energy sources and the proliferation of electric vehicles are escalating the demands on an aging distribution grid. This presentation gives an overview of how big these underground power grid challenges are and how machine learning and deep learning are tools to tackle some of these challenges. Co-sponsored by: Eversource Energy Center Speaker(s): Steffen Ziegler , Tim Morello Virtual: https://events.vtools.ieee.org/m/324708

When it comes to electric power distribution, the fundamental goals of today’s electric utilities have not changed much in fifty years. They comprise a safer distribution system that poses minimal risks to the public and to utility workers, the reliable and stable delivery of power to critical, commercial, and residential customers, and economically sound business operations that meet both shareholder and ratepayer expectations. The challenges to these goals, however, have grown significantly over the past decade. Increasingly intense and frequent weather events raise the threat of outages and environmental risks; the process of shifting from a centralized to decentralized grid to meet decarbonization mandates creates complexities; and the integration of renewable energy sources and the proliferation of electric vehicles are escalating the demands on an aging distribution grid. This presentation gives an overview of how big these underground power grid challenges are and how machine learning and deep learning are tools to tackle some of these challenges. Co-sponsored by: Eversource Energy Center Speaker(s): Steffen Ziegler , Tim Morello Virtual: https://events.vtools.ieee.org/m/324708

Introduction of Battery Management System Lithium-ion battery is undoubtedly the key player in the current global electrification transition. Beside its advantages of higher energy density and volumetric density, it is also more volatile compared to traditional lead-acid batteries. Therefore, proper management and control of lithium-ion batteries using an embedded system called battery management system or BMS is necessary. On the one hand, BMS closely monitors each individual cell in the battery pack via various sensors to estimate battery internal status. On the other hand, BMS timely communicate with other electronic control units (ECU), e.g. inverter, vehicle control unit, in the system to prevent abusing conditions that could accelerate battery degradation or even trigger catastrophic battery thermal runaway. This seminar will provide an introduction of BMS with some further explanation on the BMS algorithm and software development. Speaker(s): Yiqi, Storrs, Connecticut, United States, Virtual: https://events.vtools.ieee.org/m/328099

Hope you are doing great! We thank you very much for all the support from PELS and helping establish our UCONN IEEE PELS and PES Student chapter! We are organizing a kick-off event to thank all our advisors, mentors, and students who have helped us so far. We cordially invite you to our event. When: 5pm, October 21st, 2022 Where: ITE Building lobby, 371 Fairfield Way, Storrs, CT 06268 RSVP Link: https://tinyurl.com/4xbxd7s4 Food and refreshments will be served. This event intends to celebrate the initiation of our chapter, present our goals, objectives, and plans, and foster relations between students, faculty members, and professionals from the industry. Please find the flyer attached with more details. Looking forward to seeing you at the event! Best regards, UConn IEEE PELS & PES Chapter Co-sponsored by: IEEE PELS 371 Fairfield Way, Storrs, CT 06268, Storrs, Connecticut, United States, 06268

We are going to discuss "Smart Health Conscious Battery Management Systems for Transportation Electrification and Autonomous E-Mobility." Virtual: https://events.vtools.ieee.org/m/329346