The Experts below are selected from a list of 246 Experts worldwide ranked by ideXlab platform
A. A. Pesaran - One of the best experts on this subject based on the ideXlab platform.
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Significant Enhancement of Computational Efficiency in Nonlinear Multiscale Battery Model for Computer Aided Engineering (Presentation)
2014Co-Authors: A. A. Pesaran, Kandler Smith, Peter Graf, Chuanbo Yang, G. Li, S. Li, A. Hochman, D. TselepidakisAbstract:This presentation discusses the significant enhancement of computational efficiency in nonlinear multiscale battery model for Computer Aided Engineering in current research at NREL.
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Progress of the Computer-Aided Engineering of Electric Drive Vehicle Batteries (CAEBAT) (Presentation)
2013Co-Authors: A. A. Pesaran, S. Hartridge, C. Shaffer, S. PannalaAbstract:This presentation, Progress of Computer-Aided Engineering of Electric Drive Vehicle Batteries (CAEBAT) is about simulation and Computer-Aided Engineering (CAE) tools that are widely used to speed up the research and development cycle and reduce the number of build-and-break steps, particularly in the automotive industry. Realizing this, DOE?s Vehicle Technologies Program initiated the CAEBAT project in April 2010 to develop a suite of software tools for designing batteries.
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Accelerating Development of EV Batteries Through Computer-Aided Engineering
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:The Department of Energy's Vehicle Technology Program has launched the Computer-Aided Engineering for Automotive Batteries (CAEBAT) project to work with national labs, industry and software venders to develop sophisticated software. As coordinator, NREL has teamed with a number of companies to help improve and accelerate battery design and production. This presentation provides an overview of CAEBAT, including its predictive Computer simulation of Li-ion batteries known as the Multi-Scale Multi-Dimensional (MSMD) model framework. MSMD's modular, flexible architecture connects the physics of battery charge/discharge processes, thermal control, safety and reliability in a computationally efficient manner. This allows independent development of submodels at the cell and pack levels.
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Accelerating Development of EV Batteries Through Computer-Aided Engineering (Presentation)
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:The Department of Energy's Vehicle Technology Program has launched the Computer-Aided Engineering for Automotive Batteries (CAEBAT) project to work with national labs, industry and software venders to develop sophisticated software. As coordinator, NREL has teamed with a number of companies to help improve and accelerate battery design and production. This presentation provides an overview of CAEBAT, including its predictive Computer simulation of Li-ion batteries known as the Multi-Scale Multi-Dimensional (MSMD) model framework. MSMD's modular, flexible architecture connects the physics of battery charge/discharge processes, thermal control, safety and reliability in a computationally efficient manner. This allows independent development of submodels at the cell and pack levels.
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Overview of Computer-Aided Engineering of Batteries and Introduction to Multi-Scale, Multi-Dimensional Modeling of Li-Ion Batteries (Presentation)
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:This 2012 Annual Merit Review presentation gives an overview of the Computer-Aided Engineering of Batteries (CAEBAT) project and introduces the Multi-Scale, Multi-Dimensional model for modeling lithium-ion batteries for electric vehicles.
Shriram Santhanagopalan - One of the best experts on this subject based on the ideXlab platform.
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Accelerating Development of EV Batteries Through Computer-Aided Engineering (Presentation)
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:The Department of Energy's Vehicle Technology Program has launched the Computer-Aided Engineering for Automotive Batteries (CAEBAT) project to work with national labs, industry and software venders to develop sophisticated software. As coordinator, NREL has teamed with a number of companies to help improve and accelerate battery design and production. This presentation provides an overview of CAEBAT, including its predictive Computer simulation of Li-ion batteries known as the Multi-Scale Multi-Dimensional (MSMD) model framework. MSMD's modular, flexible architecture connects the physics of battery charge/discharge processes, thermal control, safety and reliability in a computationally efficient manner. This allows independent development of submodels at the cell and pack levels.
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Accelerating Development of EV Batteries Through Computer-Aided Engineering
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:The Department of Energy's Vehicle Technology Program has launched the Computer-Aided Engineering for Automotive Batteries (CAEBAT) project to work with national labs, industry and software venders to develop sophisticated software. As coordinator, NREL has teamed with a number of companies to help improve and accelerate battery design and production. This presentation provides an overview of CAEBAT, including its predictive Computer simulation of Li-ion batteries known as the Multi-Scale Multi-Dimensional (MSMD) model framework. MSMD's modular, flexible architecture connects the physics of battery charge/discharge processes, thermal control, safety and reliability in a computationally efficient manner. This allows independent development of submodels at the cell and pack levels.
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Overview of Computer-Aided Engineering of Batteries and Introduction to Multi-Scale, Multi-Dimensional Modeling of Li-Ion Batteries (Presentation)
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:This 2012 Annual Merit Review presentation gives an overview of the Computer-Aided Engineering of Batteries (CAEBAT) project and introduces the Multi-Scale, Multi-Dimensional model for modeling lithium-ion batteries for electric vehicles.
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Computer-Aided Engineering of Batteries for Designing Better Li-Ion Batteries (Presentation)
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:This presentation describes the current status of the DOE's Energy Storage R and D program, including modeling and design tools and the Computer-Aided Engineering for Automotive Batteries (CAEBAT) program.
M. Wette - One of the best experts on this subject based on the ideXlab platform.
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Caesy: a Computer-Aided Engineering system
IEEE Symposium on Computer-Aided Control System Design, 1992Co-Authors: M. WetteAbstract:A new software tool, Caesy (for Computer Aided Engineering system), is described. This tool provides a strong programming environment for research in the development of algorithms and software for Computer-Aided control system design. An analysis of requirements is presented along with a brief description of the user language and the design of the prototype software implementation.
Kandler Smith - One of the best experts on this subject based on the ideXlab platform.
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Significant Enhancement of Computational Efficiency in Nonlinear Multiscale Battery Model for Computer Aided Engineering (Presentation)
2014Co-Authors: A. A. Pesaran, Kandler Smith, Peter Graf, Chuanbo Yang, G. Li, S. Li, A. Hochman, D. TselepidakisAbstract:This presentation discusses the significant enhancement of computational efficiency in nonlinear multiscale battery model for Computer Aided Engineering in current research at NREL.
-
Accelerating Development of EV Batteries Through Computer-Aided Engineering
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:The Department of Energy's Vehicle Technology Program has launched the Computer-Aided Engineering for Automotive Batteries (CAEBAT) project to work with national labs, industry and software venders to develop sophisticated software. As coordinator, NREL has teamed with a number of companies to help improve and accelerate battery design and production. This presentation provides an overview of CAEBAT, including its predictive Computer simulation of Li-ion batteries known as the Multi-Scale Multi-Dimensional (MSMD) model framework. MSMD's modular, flexible architecture connects the physics of battery charge/discharge processes, thermal control, safety and reliability in a computationally efficient manner. This allows independent development of submodels at the cell and pack levels.
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Accelerating Development of EV Batteries Through Computer-Aided Engineering (Presentation)
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:The Department of Energy's Vehicle Technology Program has launched the Computer-Aided Engineering for Automotive Batteries (CAEBAT) project to work with national labs, industry and software venders to develop sophisticated software. As coordinator, NREL has teamed with a number of companies to help improve and accelerate battery design and production. This presentation provides an overview of CAEBAT, including its predictive Computer simulation of Li-ion batteries known as the Multi-Scale Multi-Dimensional (MSMD) model framework. MSMD's modular, flexible architecture connects the physics of battery charge/discharge processes, thermal control, safety and reliability in a computationally efficient manner. This allows independent development of submodels at the cell and pack levels.
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Overview of Computer-Aided Engineering of Batteries and Introduction to Multi-Scale, Multi-Dimensional Modeling of Li-Ion Batteries (Presentation)
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:This 2012 Annual Merit Review presentation gives an overview of the Computer-Aided Engineering of Batteries (CAEBAT) project and introduces the Multi-Scale, Multi-Dimensional model for modeling lithium-ion batteries for electric vehicles.
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Computer-Aided Engineering of Batteries for Designing Better Li-Ion Batteries (Presentation)
2012Co-Authors: A. A. Pesaran, Kandler Smith, Shriram SanthanagopalanAbstract:This presentation describes the current status of the DOE's Energy Storage R and D program, including modeling and design tools and the Computer-Aided Engineering for Automotive Batteries (CAEBAT) program.
S. Pannala - One of the best experts on this subject based on the ideXlab platform.
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Progress of the Computer-Aided Engineering of Electric Drive Vehicle Batteries (CAEBAT) (Presentation)
2013Co-Authors: A. A. Pesaran, S. Hartridge, C. Shaffer, S. PannalaAbstract:This presentation, Progress of Computer-Aided Engineering of Electric Drive Vehicle Batteries (CAEBAT) is about simulation and Computer-Aided Engineering (CAE) tools that are widely used to speed up the research and development cycle and reduce the number of build-and-break steps, particularly in the automotive industry. Realizing this, DOE?s Vehicle Technologies Program initiated the CAEBAT project in April 2010 to develop a suite of software tools for designing batteries.