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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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Battery Ageing – How Modeling is Used to Predict Battery Life
Battery modeling and simulation makes it possible to analyze multiple operating conditions and design parameters for batteries and other electrochemical systems and processes. By developing mathematical models you can begin to understand the interaction of electrochemical and chemical processes in the battery and how these processes affect the performance and life of the battery.
In this presentation, we will take a look at the benefits of modeling and simulation in the design, selection, and operation of a lithium-ion battery. We will especially take a look at how modeling can be used together with testing. These results provide manufacturers and application experts with the data to not only predict battery life but to analyze the implications of design parameters and operating conditions to better understand the limitation of the battery.
This webinar will focus on the following key topics:
• Benefits of modeling and simulations in the design, selection, and operation of a lithium-ion battery
• Implications of design parameters and operating conditions with respect to experimental observations of battery performance, aging, and battery safety
• How battery modeling can be used together with testing
Presenter
Tom O’Hara – Global Business Manager, Intertek
Tom O’Hara is the global business manager / advisory services for Intertek’s energy storage programs. Aside from his consulting role, Tom supports U.S. and European marketing and sales efforts and APAC CTIA certification efforts. As a 30-year veteran of the battery technology field, Tom has worked in Energizer Battery’s R&D sector and consulted with several start-up battery companies. He is also the co-inventor of the world’s first successful mercury-free zinc air button cell and holds seven U.S. patents. He obtained both a B.S. and M.S. in chemistry from Wake Forest University in North Carolina.
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Electrochemical Impedance Spectroscopy and Its Application to Battery Analysis
Electrochemical Impedance Spectroscopy (EIS) is a well-established experimental technique that has applications in coatings, corrosion, sensors, electrochemical double layer capacitors, batteries among others. The power of EIS partly comes from its ability to access a very wide range of frequencies (typically from MHz to μHz). For batteries, parameters such as the internal resistance, electrode surface capacitance and leakage are accessible at different frequencies across the spectrum. This allows EIS to gather all the relevant information with a single measurement. In this webinar, we will briefly introduce EIS and cover its application to batteries. We will talk about how to analyze typical data and how to gather the relevant information. We will further talk about available instrumentation and their limitations.
This webinar will focus on the following key topics:
• What is impedance spectroscopy?
• What can impedance spectroscopy do for Battery analysis?
• How can capacitance, internal resistance and leakage be determined using EIS?
• What are the instrumental requirements and limits?
Presenter
Chris Beasley – Gamry Instruments
Chris Beasley received a BS in Chemistry from Kutztown University in 2000 and got a PhD in electrochemistry from University of North Carolina at Chapel Hill in 2010. His doctoral dissertation was on using redox-active nanoparticles as supercapacitors. Chris joined Gamry Instruments in 2010.
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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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