Showing 49–52 of 117 results

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    Myths and Realities in Battery Engineering for EVs

    As the automotive industry continues an aggressive push toward electrification, misconceptions abound as to the best way to run an EV battery program. Mobility companies are set up for failure if they’re of the mindset to outsource battery engineering, or that they can easily “set and forget” a battery after initial qualification. These missteps can lead to catastrophic product failures including delayed product launches, high-volume RMAs, recalls or worse. In this webinar we’ll review the most common myths to help ensure that your organization doesn’t have to learn the hard way.

    This webinar will focus on the following key topics:

    • Myths and misconceptions about battery engineering
    • Consequences of believing these myths
    • Realities of battery engineering
    • Common pitfalls and how to avoid them

    Presenter
    Dr. Tal Sholklapper – CEO at Voltaiq

    Dr. Tal Sholklapper has an extensive record of success as a cleantech engineer and entrepreneur. Prior to founding Voltaiq, he worked as the lead engineer on a DOE ARPA-E funded project at the CUNY Energy Institute, developing an ultra low-cost grid-scale battery. Before joining 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 and UC Berkeley, where he also did his graduate work in Materials Science and Engineering. As a Materials Postdoctoral Fellow at LBNL, he successfully led the transfer of lab-scale technology to industry partners.

    Voltaiq is a proud sponsor of this event.

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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 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 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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