Tutorial

Showing 1–10 of 18 results

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    BIS Tutorial Course 1/3: Introducing Battery Intelligence Systems (BIS)

    While the industry is familiar with the battery and its BMS (battery management system), very few are aware of the critical need for a missing third layer, the Battery Intelligence System (BIS) needed to enable the leap in battery yield, energy density, and lifetime the industry is calling for.

    Battery Intelligence Systems are needed to leverage the latent value sitting in data that companies are collecting today, including but not limited to: data generated in battery factories in Asia, product OEMs around the globe, and ‘data lakes’ collecting data from systems in the field.

    Your organization already has the building blocks to enable BIS. In this webinar we’ll show you the benefits of unlocking the value of your battery data.

    This webinar will focus on the following key topics:

    • The need for Battery Intelligence
    • State of the industry: insufficient resources to meet aggressive electrification goals
    • State of data today: “Treating it like a mushroom and watching it grow”
    • Automation of standard analyses
    • Traceability with Battery Digital Twins

    Presenter
    Dr. Tal Sholklapper – CEO at Voltaiq

    Dr. Tal Sholklapper is the CEO of Voltaiq. 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, Dr. Sholklapper co-founded Point Source Power, a low-cost fuel-cell startup based on technology he developed while at Lawrence Berkeley National Laboratory. Dr. Sholklapper has a BS in Physics and Applied Mathematics and an MS and PhD in Materials Science and Engineering from UC Berkeley, where he holds the honor of completing the fastest engineering PhD in two and a half years.

    Voltaiq is a proud sponsor of this event.

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    BIS Tutorial Course 2/3: Battery Intelligence in Research and Development (R&D)

    The development of new, improved battery systems is slowed by the long test times required to validate battery cycle life — three to six months for consumer electronics and multiple years for long-life applications such as transportation and energy storage.

    In this webinar, we’ll review how Battery Intelligence Systems (BIS) can enable accelerated development cycles and time to market. BIS can not only speed development cycles with automated background analytics; it can also unlock new insights with enhanced analytical techniques, helping you make better decisions faster.

    This webinar will focus on specific end-uses including fast-charge algorithm development, BMS algorithms and new materials development, and how BIS can accelerate optimization and new product introduction.

    This webinar will focus on the following key topics:

    • The state of the battery development ecosystem
    • The design of experiments (DoE) to optimize performance
    • Dramatic changes in workflow with Battery Intelligence System (BIS) Software
    • Enhanced analytics examples including differential capacity analysis (dQ/dV vs V) and on-line correlative analysis
    • BIS enabled faster development cycles and time to market

    Presenter
    Dr. Tal Sholklapper – CEO at Voltaiq

    Dr. Tal Sholklapper is the CEO of Voltaiq. 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, Dr. Sholklapper co-founded Point Source Power, a low-cost fuel-cell startup based on technology he developed while at Lawrence Berkeley National Laboratory. Dr. Sholklapper has a BS in Physics and Applied Mathematics and an MS and PhD in Materials Science and Engineering from UC Berkeley, where he holds the honor of completing the fastest engineering PhD in two and a half years.

    Voltaiq is a proud sponsor of this event.

    Buy Now
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    BIS Tutorial Course 3/3: Battery Intelligence in New Product Introduction (NPI) for Transportation and Consumer Electronics

    OEMs are faced with an ever growing list of challenges when designing batteries into their systems, from long qualification time, to increasingly complex systems and the lack of qualified battery engineers.

    In this webinar, we’ll review the battery and systems qualification process for transportation and consumer electronics, including specific reference performance tests such as hybrid pulse power characterization (HPPC), that are used for BMS development.

    We’ll then shift into how Battery Intelligence Systems (BIS) can both accelerate time to market for New Product Introduction (NPI), and can surface deeper insights about variability in batteries and packs to increase range, lower costs, and improve reliability.

    This webinar will focus on the following key topics:

    • The state of OEM new product introduction (NPI)
    • Battery and system qualification
    • BMS development and hybrid pulse power characterization (HPPC)
    • Ensuring time to market for NPI
    • Extending range and lifetime with component variability assessment

    Presenter
    Dr. Tal Sholklapper – CEO at Voltaiq

    Dr. Tal Sholklapper is the CEO of Voltaiq. 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, Dr. Sholklapper co-founded Point Source Power, a low-cost fuel-cell startup based on technology he developed while at Lawrence Berkeley National Laboratory. Dr. Sholklapper has a BS in Physics and Applied Mathematics and an MS and PhD in Materials Science and Engineering from UC Berkeley, where he holds the honor of completing the fastest engineering PhD in two and a half years.

    Voltaiq is a proud sponsor of this event.

    Buy Now
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    Advanced Battery EIS Tutorial Course 1/2: How to Ensure the Quality of Your EIS Measurements

    Electrochemical Impedance Spectroscopy (EIS) is a technique that can be performed by controlling the potential or current. Controlling the current can limit the effect of the time variance of the system, but may also more easily lead the system to its non-linear behavior. We will show in this case how an adaptive EIS method can be used to circumvent this effect, and how we can only take the best from current control.

    This webinar will focus on the following key topics:

    • How to choose between PEIS and GEIS ?
    • Non-linearity: the problems it brings and how to avoid them
    • A new groundbreaking technique to control amplitude in GEIS
    • EIS quality indicators

    Presenter
    Dr. Nicolas Murer – Product Manager and Applications Engineer at Bio-Logic SAS, France

    Dr. Nicolas Murer is a Product Manager and Applications Engineer at Bio-Logic SAS, France, which designs and manufactures high performance research grade instrumentation and software : potentiostats/galvanostats with built-in Electrochemical Impedance Spectroscopy (EIS), Battery Cyclers, Frequency Response Analyzers for materials analysis, and scanning probe electrochemical workstations. Nicolas received his engineering diploma from Polytechnic Institute of Grenoble in electrochemistry and materials in 2003. He then received his Ph.D. at Université de Bourgogne in 2008. Prior to joining Bio-Logic, he was a post-doctorate at the Ohio State University, Columbus, Ohio (USA).

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    Advanced Battery EIS Tutorial Course 2/2: Monitoring Battery Resistance Parameters as a Function of SoH and SoC

    There is a need for indicators that can accurately reflect the State of Charge (SoC) and State of Health (SoH) of a battery as a single cell or in packs. Battery parameters related to resistance are excellent candidates for such indicators. AC and DC methods can be used to determine resistance. The DC method is fast and simple, but it gives a composite parameter, whereas the AC method is more advanced and gives complete parameters. After giving examples of data on single cells, we will present three-electrode, battery packs, and modules measurements.

    This webinar will focus on the following key topics:

    • Obtaining battery parameters via DC and AC methods
    • The pros and cons of each method
    • How these parameters can be used to indicate SoC and SoH
    • Data examples
    • Three-electrode single cell and measurements on battery pack or module

    Presenter
    Dr. Nicolas Murer – Product Manager and Applications Engineer at Bio-Logic SAS, France

    Dr. Nicolas Murer is a Product Manager and Applications Engineer at Bio-Logic SAS, France, which designs and manufactures high performance research grade instrumentation and software : potentiostats/galvanostats with built-in Electrochemical Impedance Spectroscopy (EIS), Battery Cyclers, Frequency Response Analyzers for materials analysis, and scanning probe electrochemical workstations. Nicolas received his engineering diploma from Polytechnic Institute of Grenoble in electrochemistry and materials in 2003. He then received his Ph.D. at Université de Bourgogne in 2008. Prior to joining Bio-Logic, he was a post-doctorate at the Ohio State University, Columbus, Ohio (USA).

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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 2/3: Data Capture and Trend Reporting

    This one-hour webinar is Part 2 of a 3-part series. Battery management systems take large amounts of sensor data readings on a continual basis as part of their functionality. Battery analytics involves leveraging battery performance data for tasks such as identifying issues that can reduce battery life, flagging behavior that can negatively impact energy storage system performance, and predicting remaining cell and pack life.

    This webinar will focus on the following key topics:

    • Sensor data capture, aggregation and manipulation into performance reports
    • Real-life examples will be shared, where aggregated historical data was analyzed and anomalous behaviors were identified
    • Also shared will be the inspections and testing of the pack to identify the cause of the anomalous behavior, and the discovery and resolution of the problems that caused the anomalies

    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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    Battery Selection Tutorial Course 1/3: Selecting your Cell and Cell Manufacturer(s)

    After designing your product, you need to ensure the battery with which you are operating it will ensure the right performance and lifetime. When deciding this, narrowing down which chemistry (e.g. Li-ion, lithium primary, NiMH, etc.) best fits your product and which form factor are some of the first steps. Choosing a cell design (high-power vs. high-energy, for example) is another step and finally, finding the right cell manufacturer to fabricate your cells and packs. This webinar is the first in a three-part series on designing the right battery for your product. It will cover many of the key differences in chemistries, form factors, and cell designs and other best practices.

    This webinar will focus on the following key topics:

    • Choosing the right chemistry for your application
    • Choosing the right form factor
    • Choosing cell designs (e.g. high power vs. high-energy)

    Presenter
    Exponent – a multidisciplinary engineering and scientific consulting firm with significant experience in various aspects of battery design, safety testing and failure analysis.

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    Battery Selection Tutorial Course 2/3: Beyond the Standards: Device-Specific Testing

    After choosing your cell and manufacturer (Part 1 of this series), most likely, they will have passed the tests of various standards organizations. However, depending on your operating environment, you may need to go above and beyond the baseline to ensure your product operates as intended. This webinar is Part 2 in a three-part series and will review a variety of factors to consider in your device-specific testing, including designing tests to predict the outcomes of various user-abuse scenarios, understanding the mechanisms of gas generation, capacity retention based on different voltage windows, and what happens if you need to cycle your cells outside of their operating range (outside in an Arizona summer or Minnesota winter, for example).

    This webinar will focus on the following key topics:

    • User-abuse scenarios to prevent against
    • Causes and effects of various gas generation mechanisms
    • Voltage limits

    Presenter
    Exponent – a multidisciplinary engineering and scientific consulting firm with significant experience in various aspects of battery design, safety testing and failure analysis.

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