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Battery Analytics Tutorial Course 1/3: Battery Analytics and the Role of the BMS
This one-hour course will explore how various energy storage industry experts define the term “battery analytics.” It will also examine how the battery management system (BMS) is used to control the battery and provide real-time performance reporting, the lowest level of battery analytics.
This webinar will focus on the following key topics:
• The different types of battery analytics
• How a BMS works and why it is the most basic component of any battery analytics platform
• Real-time performance algorithms as the lowest level of analytics
Presenter
Michael Worry – CEO at Nuvation Energy
Michael Worry founded Nuvation in 1997 and has grown the company over 21 years into a thriving electronic products and engineering services firm with offices in Sunnyvale, California and Waterloo, Ontario Canada. He is the CEO of Nuvation Energy, a provider of battery management systems and engineering services for large-scale energy storage systems.
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Battery Analytics Tutorial Course 3/3: Predictive Modelling, Machine Learning, and AI
This one-hour webinar is Part 3 of a 3-part series. It moves from a discussion of data capture and trend reporting explored in Part 2 to predictive modeling, machine learning, and artificial intelligence as the next levels of battery analytics.
We will examine how machine learning and artificial intelligence can be implemented to identify hidden correlations between disparate data and energy storage system performance, and also independently take pre-emptive action to increase ESS reliability and battery life.
Real-life examples will be shared where predictive models could have flagged anomalous behaviors that were experienced in the field, and led to corrective actions to mitigate unplanned costs and labor.
This webinar will focus on the following key topics:
• Coming to Terms – Understanding the differences between machine learning, artificial intelligence, deep learning, and rule-based systems
• Predictive Modeling Approaches – using data mining and probability to forecast outcomes
• What’s Next – How AI and Machine Learning will impact large-scale battery energy storage
Presenter
Michael Worry – CEO at Nuvation Energy
Michael Worry founded Nuvation in 1997 and has grown the company over 21 years into a thriving electronic products and engineering services firm with offices in Sunnyvale, California and Waterloo, Ontario Canada. He is the CEO of Nuvation Energy, a provider of battery management systems and engineering services for large-scale energy storage systems.
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Certification Challenges for Secondary Use EV Batteries
As the 1st generation of Lithium-ion based hybrid and battery electric vehicles are reaching end-of life, or original traction batteries are being replaced with new batteries, the interest in secondary life or repurposing of these batteries continues to grow. Lithium-ion batteries present several challenges to Auto OEM’s, Recyclers and waste operators. Repurposing of EV batteries for non-automotive applications also creates new challenges for certification and acceptance by AHJ’s (Authorities Having Jurisdiction). This webinar discusses the current market challenges and concerns, while providing a roadmap of the current options for various usage cases of reused or repurposed EV batteries.
This webinar will focus on the following key topics:
• Understand the usage cases for secondary life batteries
• Review market drivers for secondary use batteries
• Review the concerns of battery and cell manufacturers with re-use of lithium-ion batteries
• Discuss the unique challenges to certifying used batteries for new applications
• Discuss current options for certification in the US market
Presenter
Rich Byczek – Global Technical Director for Transportation Technologies at Intertek
Rich has over 20 years of experience in product development and validation testing, 14 of which have been spent at Intertek. Mr. Byczek is also an expert in the areas of energy storage, audio equipment and EMC testing. He sits on several SAE, IEC, UL and ANSI standards panels, focusing on Energy Storage and Electric Vehicle Technologies. He holds a Bachelor of Science in Electrical Engineering from Lawrence Technological University in Southfield, Michigan, and is based at the Intertek facility located in Plymouth, Michigan.
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Addressing Engineering Challenges of Vehicle Electrification With Model-Based Systems Engineering
The concern for the environment and energy savings is changing the way we think about transportation. Wide spreading vehicle electrification – not only through Electric Vehicles (EV) and Hybrid Electric Vehicles (HEV), but also electrification in conventional vehicles – has become a common trend of the industry and the upcoming battlefield to install new leading positions. Accounting for costs, reliability, safety, performance, customer acceptance, infrastructure and design process makes manufacturers and suppliers facing new engineering challenges that need to be addressed in a very short time-frame.
Technologies used for electrification are causing a growing complexity in systems and components, and producing vehicles designed right, first, at reasonable costs make the implementation of collaborative mechatronic system simulation a decisive and mandatory step in the engineering process.
This webinar will focus on the following key topics:
• What are the global trends and challenges of vehicle electrification?
• What are the available technologies for reducing CO2 emissions?
• What are the benefits of stop & start and regenerative braking systems?
• How to characterize battery and optimize its thermal management?
• How do energy storage architectures impact battery aging?
Presenter
Himanshu Kalra – Application Engineer, Siemens
Himanshu Kalra is an Application Engineer with Siemens PLM Software. He graduated with his Masters of Science degree in Mechanical Engineering from Michigan Tech University and his Bachelors in Mechanical Engineering from Institute of Management and Technology, India. He works with Model Based Systems Engineering (MBSE) Simulation tools to model and analyze vehicle electrification strategies, including thermal management, battery characterization and the impacts on battery ageing. He also has an experience working with technologies used for reducing emissions on internal combustion engines.
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