Webinars

Attendees of IEEE Transportation Electrification Community webinars will receive a Certificate of Attendance and will have the opportunity to earn one (1) Professional Development Hour (PDH) certificate! Once the webinar is complete, a link will be provided for you to complete a form to receive a certificate.

For live webinars, you do not need to be a member of the IEEE TEC.   Please note to access past webinars you will need to be a member of TEC.

 

Upcoming Webinars

IEEE Virtual Panel on Electrical Vehicle (EV) Charging Data

Moderator Linda M. Zeger with panelists Scott Dimetrosky, Mario Harper, and Anthony James 
Date:  Wednesday, December 7, 2022, 1:00 PM ET

The IEEE Digital Privacy and the IEEE Transportation Electrification Community jointly sponsor this webinar.

Abstract: As the prevalence of electric vehicles (EVs) increases, EV charging poses both challenges and opportunities to the grid in the clean energy transition. Challenges, such as physical limitations of grid infrastructure and variability of renewable energy, can potentially be overcome by proper collection and usage of data. The data collected can potentially lead to benefits such as increased electricity reliability and decreased greenhouse gas emissions, but may also raise questions about privacy.

This 1-hour virtual panel will discuss what types of data are collected and for what purpose, where the data is sent and used, how it is used, and what additional data is combined with the vehicle charging data. The range of both current and future benefits that can be derived from data collected both now and in the future will be discussed. This is the first of a 2-part series. The second panel, planned for 2023, will focus more on the privacy challenges associated with EV data.  Burnham brings lessons learned from several years of troubleshooting electric vehicles, both hybrid and plug-in, to discuss some of the most important EV noise factors.

Moderator:

Linda M. Zeger is the founder and principal consultant of Auroral LLC, which provides advisory services focusing on the smart grid, in data science strategy and data quality improvement, system performance assessment, experimental design, and performance evaluation of communication and artificial intelligence components. Her over 25 years of experience includes contributions she has made to a variety of novel performance improvement capabilities and analytics techniques to a range of systems including communication and sensor networks. Her experience includes consulting, research, smart grid edge standards development, program management, and instruction. She is the holder of a number of patents and she has given presentations to a wide range of audiences. She is the author of numerous published papers in journals and conferences across several disciplines. She has also held positions with MIT Lincoln Laboratory, Lucent Technologies Bell Laboratories, Princeton University, and Florida Polytechnic University, and she completed a postdoctoral fellowship in statistics at Educational Testing Service. She holds a Ph.D. in physics from Harvard.

Panelists:

Scott Dimetrosky is the co-founder and CEO of Rolling Energy Resources, overseeing all aspects of the organization operations. With over 25 years experience designing and evaluating energy efficiency and demand response programs for utilities throughout the U.S., Mr. Dimetrosky brings a combination of quantitative and qualitative perspectives to the electric vehicle industry. On the quantitative side, Mr. Dimetrosky utilizes his background in statistics and economics to develop EV forecasts and grid impact studies. On the qualitative side, Mr. Dimetrosky leads transportation electrification planning studies, including EV program design, allowing him to bring a unique and effective perspective for RER program design and utility engagement.
Mario Harper joined the computer science faculty at Utah State University in 2020. He has research expertise in machine learning, autonomous systems, and decision-making algorithms. He has lead many projects to successful delivery as the lead data scientist at Progressive Leasing, designing new algorithms for optimal decision making in financial technologies. Prior positions include technical integration lead on a robotics research consortium, lead machine learning scientist, and data analyst. He has published works in top robotics and AI venues and currently teaches Robot Intelligence, Software Engineering, and Advanced Data Science courses. He has several patents on newly developed algorithms for allocating resources in electric grids, balancing financial portfolios, and optimal trajectory planning for autonomous systems.
Anthony James is a senior engineer and data scientist with Southern California Edison. Anthony's primary focus at SCE is advancing grid capabilities to support SCE's Pathway 2045 goals, and mitigate risk with climate change. He focuses on the application of informatics and advanced analytics in power systems as it relates to DER integration, including the integration of electric vehicles, to improve grid flexibility, and also improve grid resiliency, through applied research and demonstration efforts. Anthony works in a cross-collaborative innovation ecosystem with external partners such as several US Dept of Energy National Laboratories, technology companies and start-ups to advance new and innovative technologies to solve challenges related to integrating renewable energy, distributed energy resources including electric vehicles, and new emerging technologies. With over 20 years of experience in multi-disciplinary consulting, engineering management, engineering and analytics, Anthony has successfully partnered with leadership and senior management to execute a variety of strategic initiatives for technology innovation and business strategy. Anthony has worked across the utility, energy, real estate, construction, industrial automation, automotive, aerospace, and consumer electronics industries. He has also worked as a university Adjunct Lecturer in information systems.

 Organizer:

Ben Bowler is a Senior Research Scientist at the Lucerne University of Applied Sciences, Switzerland. He works at the Competence Centre for Digital Energy and Electric Power within the Institute for Electrical Engineering. Ben builds, manages, and delivers national and international industrial research projects related to the digitalization of energy systems, with a particular focus on advanced analytics. He has more than 15 years of experience in the electricity transmission and distribution sectors in a wide range of roles including industrial research, innovation, project delivery, network operations, business development, and energy sector regulation. Ben is an active member and past chair of the IEEE Power and Energy Society Chapter in Switzerland.


Noise Sources in Electric Vehicles

Presenter:  Karen Burnham, Electro Magnetic Applications, Denver, CO
Date:  Monday, December 12, 2022, 1:00 PM EST

This webinar is jointly sponsored by the IEEE Electromagnetic Compatibility Society and the IEEE Transportation Electrification Community.

Abstract: With electric vehicles becoming more common, the electromagnetic noise they generate is an issue that more designers must face. Ms.  Burnham brings lessons learned from several years of troubleshooting electric vehicles, both hybrid and plug-in, to discuss some of the most important EV noise factors.

Biography:

Karen Burnham is a Principal Scientist at Electro Magnetic Applications in Denver, CO.  She is an iNARTE certified EMC engineer with experience in both the aerospace/defense and automotive industries.  At NASA JSC, she worked on the Orion spacecraft and pyrotechnic systems.  She was able to work on the Dream Chaser spacecraft and the F-35 fighter jet.  She spent several years working at Ford Motor Company on traditional vehicles like the Ford Edge and Lincoln Continental as well as on their line of electric hybrid vehicles such as the Ford Explorer and Lincoln Aviator.  Ms. Burnham is a member of the IEEE EMC Society Board of Directors where she serves as Assistant Vice President of Standards.  She holds a BS degree in Physics from Northern Arizona University and an MS degree in Electrical Engineering from the University of Houston.


Software-Defined Power Electronics

Presenter:  Dr. Matthias Preindl, Columbia University, USA
Date:  Wednesday, January 18, 2023, 12:00 PM EST

This webinar is sponsored by the IEEE Power Electronics Society Technical Committee on Electrified Transportation Systems.

Abstract: Transportation electrification is a key technology to addressing climate change. Electrified drivetrains use high-voltage batteries (or fuel cells) as an energy source and require a number of power converters including a motor inverter, a battery charger, and a DC/DC converter to supply the auxiliary 12V battery. This talk focuses on a novel family of software-defined power converter concept based on Lego-like power electronic modules called auto converter modules (ACM). The ACM abstract key power electronic complexity, including the switching, electromagnetic compatibility (EMC), and component protection, and leverage variable-frequency critical soft-switching (VF-CSS) to achieve a high efficiency and power density. ACM can be aggregated by software to form power converters for motor drives or battery chargers and are reconfigurable. This concept is leveraged to integrate the motor drive and a bidirectional battery charger that exceeds the 2025 DOE power density and cost targets. Drivetrains with readily available bidirectional EV charging can enable a wider adoption of vehicle-to-grid services. These grid-interactive EV simplify the wider adoption of EV and facilitate the grid’s transition toward renewable energy by providing battery storage.

Biography:

Matthias Preindl received the B.Sc. degree in electrical engineering (summa cum laude) from the University of Padua, Italy, the M.Sc. degree in electrical engineering and information technology from ETH Zurich, Switzerland, and the Ph.D. degree in energy engineering from the University of Padua, in 2008, 2010, and 2014, respectively. He is currently an Associate Professor of Power Electronic Systems in the Department of Electrical Engineering at Columbia University, USA. Prior to joining Columbia University in 2016, he was an R&D Engineer of Power Electronics and Drives at Leitwind AG, Italy (2010-2012), a Post Doctoral Research Associate with the McMaster Institute for Automotive Research and Technology, McMaster University, Hamilton, ON, Canada (2014-2015), and a Sessional Professor in the Department of Electrical and Computer Engineering, McMaster University (2015). 

He serves as Area Editor of IEEE Transactions on Vehicular Technology, Associate EiC of Springer Nature/China SAE Journal of Automotive Innovation, and was the general chair of the 2022 IEEE/AIAA ITEC+EATS. Dr. Preindl is a Senior Member of IEEE and a Fellow of IET. He received the Futura Foundation Award (Italy, 2016), NSF CAREER Award (USA, 2017), Horiba Awards Honorable Mention (Japan, 2019), Fast Company's World Changing Ideas Awards honorable mention (co-recipient, USA, 2022), as well as best paper and presentation recognitions including the 2019 IEEE Transactions on Industrial Electronics best paper award and MIT A+B best paper award. His research interests include the design and control of motor drives, power electronics, and batteries for transportation electrification and renewable energy.


 

To find past webinars visit the TEC Resource Center


 

Eric Cheng
Education Committee Chair

 

TEC is currently looking for webinar presenters for 2022.  A webinar is typically 45 minutes long with approximately 15 additional minutes for Q&A.  

For more information click here.