Kevin L. Gering

Idaho National Laboratory

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Eric J. Dufek

Idaho National Laboratory

Sergiy V. Sazhin

Idaho National Laboratory

David K. Jamison

Idaho National Laboratory

Mason K. Harrup

Idaho National Laboratory

Tanvir R. Tanim

Idaho National Laboratory

Bor Yann Liaw

Idaho National Laboratory

Matthieu Dubarry

University of Hawaiʻi at Mānoa

Andrew M. Colclasure

National Renewable Energy Laboratory

Harry W. Rollins

Idaho National Laboratory

J. R. Dahn

Dalhousie University

Cooperative Institutions

Idaho National Laboratory

Argonne National Laboratory

National Renewable Energy Laboratory

Dalhousie University

Center for Advanced Energy Studies

Pennsylvania State University

University of Michigan–Ann Arbor

Carnegie Mellon University

Alex's Lemonade Stand Foundation

Chinese Academy of Sciences

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Characterization of low-flammability electrolytes for lithium-ion batteries☆

Journal of Power Sources (2010)

Sergiy V. Sazhin Mason K. Harrup Kevin L. Gering

Phosphazene

Electrochemical window

Flash point

Fast ion conductor

Characterization

10.1016/j.jpowsour.2010.09.019

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Citations (53)

Battery State-of-Health Diagnostics During Fast Cycling Using Physics-Informed Deep-Learning

Peter J. Weddle Sang‐Wook Kim Bor‐Rong Chen Zonggen Yi Paul Gasper

Rapid, in-situ Li-ion battery state-of-health (SOH) quantification is challenging. Li-ion battery aging can vary significantly with chemistry, operating conditions, cycling demands, electrode design, and operation history. As a cell ages, optimal and safe operating conditions need to be adapted to account for battery degradation by tracking critical aging modes such as loss-of-lithium-inventory (LLI), loss-of-active-material (LAM) in either electrode, and/or impedance rise. This manuscript describes a framework for identifying battery aging modes in-operando using fast-rate voltage charge/discharge responses. The framework uses a physically based Li-ion battery model to produce synthetic high-rate responses at aged states. The aging model is calibrated against experimental data from cells with different electrode loadings and cycled under a variety of fast-charging conditions (1 hour, 15 minute, 10 minute, and 7 minute charging). The synthetically generated high-rate responses at aged states are then used to train a deep-learning model to identify real cell state-of-health from fast charge/discharge battery voltage responses. The synthetically trained deep-learning model performance is validated by comparing to standard incremental capacity analysis and half-cell measurements. The framework demonstrates benefits of using physics-based models to generate synthetic data for training deep-learning models.

Cycling

10.2139/ssrn.4487226

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Developing extreme fast charge battery protocols – A review spanning materials to systems

Journal of Power Sources (2022)

Eric J. Dufek Daniel P. Abraham Ira Bloom Bor‐Rong Chen Parameswara Rao Chinnam

Implementation

Service life

10.1016/j.jpowsour.2022.231129

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Photo-oxidation of organic compounds in liquid low-level mixed wastes at the INEL

Kevin L. Gering G.L. Schwendiman

A bench-scale oxidation apparatus is implemented to study the effectiveness of using an artificial ultraviolet source, a 175-watt medium pressure mercury vapor lamp, to enhance the destruction of organic contaminants in water with chemical oxidants. The waste streams used in this study are samples or surrogates of mixed wastes at the Idaho National Engineering Laboratory. The contaminants that are investigated include methylene chloride, 1,1,1-trichlorethane, 1, 1-dichlororethane, acetone, 2-propanol, and ethylenediamine tetraacetic acid. We focus on H{sub 2}O{sub 2}-based oxidizers for our treatment scheme, which include the UV/H{sub 2}O{sub 2} system, the dark Fenton system (H{sub 2}O{sub 2}/Fe{sup 2+}), and the photo- assisted Fenton system (UV/H{sub 2}O{sub 2}/Fe{sup 3+}) is used in particular. Variables include concentration of the chemical oxidizer, concentration of the organic contaminant, and the elapsed reaction time. Results indicate that the photo-assisted Fenton system provides the best overall performance of the oxidizing systems listed above, where decreases in concentrations of methylene chloride, 1,1,1- trichloroethane, 1,1-dichlororethane, 2-propanol, and ethylenediamine tetraacetic acid were seen. However, UV-oxidation treatment provided no measurable benefit for a mixed waste containing acetone in the presence of 2-propanol.

Oxidizing agent

Ethylene diamine

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Ionic liquids, electrolyte solutions including the ionic liquids, and energy storage devices including the ionic liquids

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2015)

Kevin L. Gering Mason K. Harrup Harry W. Rollins

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Enhancing Li-Ion Battery Safety by Early Detection of Nascent Internal Shorts

ECS Transactions (2016)

Sergiy V. Sazhin Eric J. Dufek Kevin L. Gering

Catastrophic failure concerns impede penetration of Li-ion batteries in electric vehicle and energy storage markets. Unfortunately, no fast method to forecast catastrophic failure has existed. This work presents a solution by very early detection of nascent internal shorts that are precursors of catastrophic failure. The new metric, the self-discharge current, which is determined under potentiostatic conditions at a slight discharge overvoltage, is proposed as a fast metric for detection of shorts and assessment of battery safety. The method is non-invasive and applicable to any battery chemistry or design. It is easily adaptable to any battery management system for monitoring battery state of health at any time and at any battery state of charge. The technology based on this method can be used in electric drive vehicles, stationary energy storage, military, aeronautic, as final control in battery production, for first responders in electric vehicle accidents, and many other applications.

Overvoltage

State of health

Catastrophic failure

State of charge

10.1149/07301.0161ecst

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Citations (8)

Positron Parameters for Atypical Samples

Acta Physica Polonica A (2020)

Jagoda Urban‐Klaehn Kevin L. Gering Chase N. Taylor C. A. Quarles

Rocks, minerals, and powdered catalysts, not considered "typical" positron annihilation spectroscopy materials were included in these studies, to find the optimal way to characterize atypical materials by the most appropriate set of parameters in a well-defined environment.The positron annihilation spectroscopies: the Doppler broadening and positron lifetime were compared with other supplementary techniques to validate, interpret, and understand the results in different materials better.It was found that although rocks are heterogeneous mineral aggregates, some positron annihilation spectroscopy values were specific for various types of rocks, potential oil deposits, and their conditions; and quite different for opals due to Ps formation there; moreover in order to characterize properly samples with small mass and density (catalytic powders), their measuring geometry, matrix effect, and set of operational parameters needed to be well-defined.

10.12693/aphyspola.137.201

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Citations (3)

Composting as a Reactor Design Problem Modeling and Experiment^a

Annals of the New York Academy of Sciences (1997)

Nancy J. Lynch Kevin L. Gering Robert Cherry

National laboratory

10.1111/j.1749-6632.1997.tb48583.x

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Citations (1)

A Critical Evaluation of the Advanced Electrolyte Model

Journal of The Electrochemical Society (2018)

E. R. Logan Erin M. Tonita Kevin L. Gering J. R. Dahn

A fast and accurate method to obtain transport properties of electrolyte solutions for Li-ion batteries is of great interest for both screening potential electrolyte candidates and for use in physics-based models of Li-ion cells. The Advanced Electrolyte Model (AEM) considers various molecular-scale interactions in a chemical physics framework to calculate these electrolyte transport properties in a computationally inexpensive manner. Should these calculations match experiment well, the AEM would be an ideal tool for the rapid determination of transport properties for various electrolyte systems. This paper aims to evaluate the accuracy of the AEM against experimental viscosity and conductivity data for electrolytes of interest in lithium batteries. Recent measurements, as well as previous measurements of now-obsolete electrolyte systems, are compared to corresponding calculations from the AEM. The availability of accurate laboratory data has allowed for improved accuracy of the AEM theory, molecular parameters and related predictions of properties, in particular for certain systems with low concentrations of ethylene carbonate (i.e. low permittivity electrolytes), as well as systems containing the salt Li triflate or the solvent sulfolane. The model now provides accurate calculations for the transport properties of most of the different systems considered here.

Sulfolane

Trifluoromethanesulfonate

Strong electrolyte

10.1149/2.0471814jes

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Citations (39)

Thermal Aging on the Cycleability of Cells Made of {LiMn⅓Ni⅓Co⅓O2 + LiMn2O4} Composite Electrodes

Meeting abstracts/Meeting abstracts (Electrochemical Society. CD-ROM) (2012)

Bernhard Lochner Elton Wong Matthieu Dubarry Cyril Truchot Bor Yann Liaw

Abstract not Available.

10.1149/ma2012-02/10/885

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Citations (0)