Electrochemistry

Showing 1–10 of 41 results

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    All Solid-State Batteries and the Future of Energy Storage

    The development of all solid-state batteries (ASSBs) has seen tremendous progress in recent years. However, several barriers still need to be overcome before ASSBs can be commercialized. These obstacles include poor interfacial stability, scalability challenges as well as the difficulty to precisely diagnose problems within the cell. Additionally, efforts to develop sustainable recyclability in lithium ion batteries are still lacking. In this webinar, we discuss SSEs chemistries and its implications on interfacial stability. We also cover the current state-of-the-art characterization techniques and evaluate future ASSB prototyping strategies. Finally, we hope to discuss potential strategies toward a sustainable ASSB recycling model to address the growing lithium ion battery waste problem.

    This webinar will focus on the following key topics:

    • Overview of solid-state batteries and solid-state electrolyte research
    • Importance of interfacial stability – correlate chemical, electrochemical and mechanical-induced reactions
    • Challenges for diagnosis / characterization of buried interfaces and lithium dendrites
    • Scalable fabrication considerations of commercialized all-solid-state batteries
    • Sustainability – Battery recycling concerns of Cost, Efficiency and the Environment

    Presenters
    Dr. Y. Shirley Meng – Professor at University of California San Diego
    Darren Tan – Founder and CTO at Unigrid Pte. Ltd.

    Dr. Y. Shirley Meng holds the Zable Endowed Chair Professor in Energy Technologies and is professor in NanoEngineering at UC San Diego. Shirley is the principal investigator of the research group – Laboratory for Energy Storage and Conversion (LESC). She is the founding Director of Sustainable Power and Energy Center (SPEC).

    Darren Tan is a founder and CTO of Unigrid Pte. Ltd. He is also a Chemical Engineering PhD student working at UC San Diego with the LESC group.

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    New Developments in Isothermal Microcalorimetry and ARC® Testing Methods

    This presentation describes two main types of calorimetric techniques which can be used to carry out performance and safety testing on batteries. These are isothermal calorimetry and adiabatic calorimetry.

    THT’s new Micro Battery Calorimeter is presented along with initial data from a prototype unit.  This device is focused on high sensitivity measurement which is required for coin and button cell samples which produce only milliwatts of heat during use. This is an example of an isothermal calorimeter system.

    The second half of the presentation covers battery testing methods for the ARC® adiabatic calorimeter system. The theoretical background of the test method is described and recommended practice for various types of testing are discussed.

    This webinar will focus on the following key topics:

    • Principles of isothermal calorimetry for batteries
    • Introduction to the Micro Battery Calorimeter and initial data
    • Theoretical background to ARC® testing
    • Recommended ARC® testing practices

    Presenter
    Danny Montgomery – Technical Performance Manager at THT

    Danny Montgomery has worked in Thermal Hazard Technology for 10 years. His current position is Technical Performance Manager. He manages THT’s test lab which has recently been expanded due to THT’s increasing cell testing workload.

    He joined the company after graduating from Southampton University with a master’s degree in physics.

    As well as managing the lab, Danny is involved with technical support, installation and training for THT’s calorimeter systems. He has provided training for battery and automotive companies around the world such as Panasonic, LG, Samsung, BMW and General Motors. Danny is based in THT’s head office in Bletchley, UK.

    THT is a proud sponsor of this event.

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    Adding Intelligent Battery Management to Lead-Acid Energy Storage Systems

    Lead batteries are resilient and have a low likelihood of catastrophic failure. However, their lifespan can be significantly reduced when operated outside of manufacturer specifications. The extension of lead battery life through active battery management is becoming a compelling value proposition for vendors of lead-based energy storage systems.

    The evolving regulatory environment governing energy storage safety is also impacting how both lead and lithium chemistries are to be managed moving forward. Join Nuvation CEO Michael Worry to explore the reasons why active battery management is becoming adopted in large-scale lead battery applications, and how the changing regulatory environment is impacting lead-based energy storage.

    This webinar will focus on the following key topics:

    • Controlling off-gassing in vented and VRLA lead batteries
    • Emerging functional safety regulations and UL 1973
    • Using a BMS to reduce the levelized cost of energy
    • Automating stack connection sequencing in a multi-stack ESS
    • Lead-based energy storage system deployments

    Presenter
    Michael Worry – CEO at Nuvation Energy

    Michael Worry founded Nuvation in 1997 and has grown the company 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 Performance Testing – Pay Attention to the Details!

    The success of an energy storage project for stationary applications depends, for a large part, on how well the battery performs over time. Since there are little case studies showing real-world lifetime performance comparisons for various technologies the battery selection is primarily based on the performance data in a laboratory environment. Knowledge of the test conditions under which the data is obtained is critical to determine the suitability of the battery technology for the intended application. The influence of test conditions on the battery performance, and consequently on the battery selection process is discussed. The presentation presents real-world examples to emphasize on how subtle and often unspecified test conditions can affect the performance and lead to an un-optimized battery solution.

    This webinar will focus on the following key topics:

    • Battery selection process for stationary energy storage
    • Primary test conditions commonly presented
    • But…what’s hidden beneath the surface?
    • Examples of some subtle test conditions, if ignored, may lead to an un-optimized battery solution
    • How a good understanding of the product performance under different conditions can empower our customers with operating options

    Presenter
    Ashok Saraswat – Director, Energy Storage Research at NEC Energy Solutions

    Ashok Saraswat is working as Director, Energy Storage Research at NEC Energy Solutions located in the Boston area in the United States. After obtaining Ph.D. from Indian Institute of Technology, Delhi, India, Ashok Saraswat began his career in battery systems with a focus on Li-ion batteries. He has been involved in R&D, product and process development, assembly processes, and battery applications in various market segments including consumer electronics, aerospace and stationary storage.

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    Measurements That Accelerate Battery Development

    FREE Webinar – Metrohm is a proud sponsor of this event.

    Material damage and defects in separators and collectors can ultimately cause thermal runaway and lead to failure of the cell. Improved design of these key components is vital for safer batteries, and proper testing early in the development process ensures high performance.

    In this webinar, battery expert Brian Morin, CEO of Soteria Battery Innovation Group, will reveal new architectures that lead to safer cell performance. Reza Fathi, Product Specialist from Metrohm Autolab, will discuss the use of electrochemical impedance spectroscopy (EIS) for Li-ion battery analysis. Using case studies and real-world examples, they will also describe why performance-predictive electrical and electrochemical measurements are necessary to accelerate the development process.

    This webinar will focus on the following key topics:

    • How to design separators and current collectors to deter thermal runaway
    • How to utilize bench-top measurements as screening tools during early cell development to reduce time and expense
    • How temperature-controlled impedance measurements lead to advanced materials analysis
    • Electrochemical techniques to test and evaluate Li-ion cells

    Presenters
    Dr. Brian Morin – Co-Founder & CEO at Soteria Battery Innovation Group
    Dr. Reza Fathi – Product Specialist at Metrohm Autolab

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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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