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Progress in Modeling and Simulation of Batteries
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Progress in Modeling and Simulation of Batteries 2016 Edition, June 15, 2016
Description / Abstract:
Introduction
Even as the price of transportation fuels fluctuates, interest in hybrid and fully electric powered vehicles continues to grow, driven by environmental, economic, and national security motives. Research and development efforts spanning universities, industry, and research institutions strive for ever higher energy and power densities, lower cost, and improved safety, all of which will further accelerate interest and adoption.
It is also increasingly recognized that modeling and simulation can play a significant role in these efforts, working in conjunction with both theory and experiment, as it has in other fields such as aircraft design, vehicle crash safety, vehicle aerodynamics, and nuclear weapons. Indeed, in some of these fields, particularly where experiments are difficult, expensive, or prohibited, modeling and simulation has become the foundation on which progress is built - at times leading theory and/or experiments.
Although as a community we have not reached that level of predictive capability in modeling and simulation of batteries, significant progress has been made over the last few years. In this volume we present nine examples of this progress. Note that several of the included works focus on thermal behavior, and that we have included one experimental study of thermal characteristics due to its potential use in validating the simulation capabilities. Studies presented here range from fast-running approaches potentially useful in battery management system design and analysis to moderately high-fidelity 3D capabilities, and include the work of universities, industry and research institutions.
This is a fast-moving field, and progress is on-going, witl more accurate models and more capable simulation tool under constant development. As a result, this collection represents a snapshot of capability and directions, and we look forward to the next advances in modeling and simulation capability. Some examples include tighter nonlinear coupling of physical phenomena, increased integration of sub-grid micro- and meso-scale simulation and more integrated sensitivity and uncertainty analysis. the meantime, we hope that this collection provides usel and compelling evidence of the progress in modeling an simulation of batteries.
John A. Tumer
Computational Engineering Energy Sciences Group Le
Oak Ridge National Laboratory (ORNL)
Computer Science and Mathematics Division
Chief Computational Scientist
Consortium for Advanced Simulation of Light Water
Reactors (CASL)
Joint Faculty Professor, University of Tennessee
Bredesen Center for Interdisciplinary Research and Graduate Education; Knoxville, Tennessee National Center for Computational Engineering; Chattanooga, Tennessee
Even as the price of transportation fuels fluctuates, interest in hybrid and fully electric powered vehicles continues to grow, driven by environmental, economic, and national security motives. Research and development efforts spanning universities, industry, and research institutions strive for ever higher energy and power densities, lower cost, and improved safety, all of which will further accelerate interest and adoption.
It is also increasingly recognized that modeling and simulation can play a significant role in these efforts, working in conjunction with both theory and experiment, as it has in other fields such as aircraft design, vehicle crash safety, vehicle aerodynamics, and nuclear weapons. Indeed, in some of these fields, particularly where experiments are difficult, expensive, or prohibited, modeling and simulation has become the foundation on which progress is built - at times leading theory and/or experiments.
Although as a community we have not reached that level of predictive capability in modeling and simulation of batteries, significant progress has been made over the last few years. In this volume we present nine examples of this progress. Note that several of the included works focus on thermal behavior, and that we have included one experimental study of thermal characteristics due to its potential use in validating the simulation capabilities. Studies presented here range from fast-running approaches potentially useful in battery management system design and analysis to moderately high-fidelity 3D capabilities, and include the work of universities, industry and research institutions.
This is a fast-moving field, and progress is on-going, witl more accurate models and more capable simulation tool under constant development. As a result, this collection represents a snapshot of capability and directions, and we look forward to the next advances in modeling and simulation capability. Some examples include tighter nonlinear coupling of physical phenomena, increased integration of sub-grid micro- and meso-scale simulation and more integrated sensitivity and uncertainty analysis. the meantime, we hope that this collection provides usel and compelling evidence of the progress in modeling an simulation of batteries.
John A. Tumer
Computational Engineering Energy Sciences Group Le
Oak Ridge National Laboratory (ORNL)
Computer Science and Mathematics Division
Chief Computational Scientist
Consortium for Advanced Simulation of Light Water
Reactors (CASL)
Joint Faculty Professor, University of Tennessee
Bredesen Center for Interdisciplinary Research and Graduate Education; Knoxville, Tennessee National Center for Computational Engineering; Chattanooga, Tennessee
Progress in Modeling and Simulation of Batteries 2016 Edition, June 15, 2016