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Maximizing Battery Performance and Reliability for Electric Vehicles and Energy Storage
FREE Webinar – Voltaiq is a proud sponsor of this event.
As automakers and utilities transition away from non-renewable energy sources, batteries have become essential for efficient energy storage and delivery. Companies are working intensely to deliver higher capacity and more robust batteries to power their products, but ad hoc development processes cannot keep pace with the volume of battery data being generated. In addition, understaffed battery development teams are unable to leverage their data to accelerate development or improve production and manufacturing.
In this webinar, we will outline the challenges that the battery industry is facing and how big data analytics can virtually eliminate manual data management and provide powerful capabilities that deliver rapid insights into a battery’s design that dramatically accelerate the development process and results in products with greater performance and reliability.
This webinar will focus on the following key topics:
• Recognizing the challenges and bottlenecks in battery development today
• Automating the battery data collection, data cleaning, and data management process
• Identifying design issues earlier with predictive analytics
• Leveraging metadata to understand the impact of materials, processes and test conditions
Presenter
Dr. Tal Sholklapper – Co-Founder and CEO at Voltaiq
Dr. Tal Sholklapper is a co-founder of Voltaiq and serves as the company’s Chief Executive Officer. Before co-founding Voltaiq, Dr. Sholklapper was the lead engineer on a DOE ARPA-E funded project at the CUNY Energy Institute, developing an ultra-low-cost grid-scale battery. Prior to his work at CUNY, Tal co-founded Point Source Power, a low-cost fuel-cell startup based on technology he developed while at Lawrence Berkeley National Laboratory (LBNL) and UC Berkeley. Dr. Sholklapper has a BS in Physics and Applied Mathematics and an MS and PhD in Materials Science and Engineering from UC Berkeley.
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Energy Storage RTE Tutorial Course 3/3: Total Battery System RTE – Ranking and Comparison of Different Battery Chemistries
RTE impacts of HVAC/Ventilation and Inverters will be described. Batteries generate heat, and this must be dissipated by system cooling and/or taken out of the system. Heat generated can be calculated by looking at IR heating and that generated (net) by exothermic reactions. Examples will include LFP, Li-NMC, Lead Acid and Nickel batteries, both when they are fresh, as well as at their end of useful life. The overall ancillary equipment energy usage will be listed for these systems, and a % RTE loss will be calculated for both nominal rate and high rate applications. Commentary will be provided for other systems. RTE will be summarized and ranked for most energy storage battery chemistries including ZA, NaS, LiS, Saltwater, Liquid Metal, Zinc Bromine and Fuel Cells.
This webinar will focus on the following key topics:
• RTE impacts of Inverters and HVAC
• RTE impacts for ancillary equipment for different systems
• RTE numbers for most battery systems being considered for energy storage
Presenter
Dr. Halle Cheeseman – Founder/President at Energy Blues LLC
Dr. Halle Cheeseman earned a PhD in Electrochemistry & Corrosion from the University of Nottingham in UK, graduating in 1985. She has held several executive positions in the battery industry over the past 32 years, including Sr. VP of R&D at Spectrum Brands and VP of R&D at Exide Technologies. Her specific battery experience includes Lithium Ion, Zinc Air, Nickel Metal Hydride, Nickel Iron, Alkaline and Lead Acid, focusing on Consumer, Industrial, Automotive & Renewable Energy applications. In July 2017, Dr. Cheeseman founded Energy Blues LLC, an energy storage consulting cooperative comprising 20+ subject matter experts.
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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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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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