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|a 10.1007/978-3-031-17607-4
|2 doi
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|a (OCoLC)1373345103
|z (OCoLC)1373233325
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|a HCDD
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|a Computer aided engineering of batteries /
|c Shriram Santhanagopalan, editor.
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| 260 |
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|a Cham :
|b Springer,
|c 2023.
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| 300 |
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|a 1 online resource (289 p.).
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| 490 |
1 |
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|a Modern Aspects of Electrochemistry ;
|v v.62
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|a Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- 1 Applications of Commercial Software for Lithium-Ion Battery Modeling and Simulation -- 1.1 Introduction -- 1.2 Overview of Commercial Computer Aided Engineering Software -- 1.3 Commercial Products for Li-Ion Battery Design and Simulation -- 1.4 Specific Applications -- 1.4.1 Materials Design -- 1.4.2 Electrode Simulation -- 1.4.3 Cell Design and Simulation -- 1.4.4 Module and Pack Design -- 1.4.5 Battery Management Systems -- 1.4.6 System Design -- 1.4.6.1 MATLAB/Simulink -- 1.4.6.2 Siemens -- 1.5 Conclusions
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|a 1.5.1 Materials Design -- 1.5.2 Electrode Design -- 1.5.3 Cell Design -- 1.5.4 Module/Pack Design -- 1.5.5 Battery Management and System Design -- References -- 2 In Situ Measurement of Current Distribution in Large-Format Li-Ion Cells -- 2.1 Introduction -- 2.2 Direct Measurement of Current Distribution Using Segmented Li-Ion Cells -- 2.2.1 Experimental Method Using Segmented Li-Ion Cells -- 2.2.1.1 Experimental Cell with Segmented Positive Electrode -- 2.2.1.2 Experimental System -- 2.2.2 Results from Segmented Li-Ion Cell -- 2.2.2.1 Overall Cell Performance
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| 505 |
8 |
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|a 2.2.2.2 Current Distribution During 1 C Discharge at Room Temperature -- 2.2.2.3 Effects of Discharging C Rate on Current Distribution -- 2.2.2.4 Effects of Ambient Temperature -- 2.2.2.5 Local SOC Distribution Calculated from Current Distribution Data -- 2.2.2.6 Internal Balancing Current After Discharge and Its Effects on Local SOC Distribution -- 2.2.2.7 Current Distribution During Charging -- 2.2.2.8 Current Distribution During Partial Charging and Discharging -- 2.2.2.9 Effects of Tab Configuration on Current Distribution and Usable Energy Density
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|a 2.2.2.10 Correlation Between Energy Density and Current Distribution Non-uniformity -- 2.3 Indirect Diagnosis of Current Distribution Through Local Potential Measurement -- 2.3.1 Experimental Method Using Modified Commercial Cylindrical Cells -- 2.3.2 Results from Modified Commercial Cylindrical Cell -- 2.3.3 Experimental Method Using Single-Layered Pouch Li-Ion Cell -- 2.3.4 Results from Single-Layered Pouch Li-Ion Cell -- 2.4 Noninvasive Diagnosis of Current Distribution Using Magnetic Resonance Imaging -- 2.4.1 Measurement Method Using Magnetic Resonance Imaging
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|a 2.4.2 Results from Magnetic Resonance Imaging -- 2.5 Summary and Future Work -- References -- 3 Mesoscale Modeling and Analysis in Electrochemical EnergySystems -- 3.1 Introduction -- 3.2 Electrochemical Physics -- 3.2.1 Thermo-electrochemical Coupling in Lithium-Ion Batteries -- 3.2.2 Physicochemical Interactions in Lithium-Sulfur Battery Electrodes -- 3.2.3 Multiphase, Multicomponent Transport in Polymer Electrolyte Fuel Cells -- 3.3 Mesoscale Modeling with Case Studies in Exemplar Electrochemical Systems -- 3.3.1 Lithium-Ion Batteries
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| 500 |
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|a 3.3.1.1 Porous Microstructure Characterization: Effective Property Calculations
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| 520 |
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|a This edited volume, with contributions from the Computer Aided Engineering for Batteries (CAEBAT) program, provides firsthand insights into nuances of implementing battery models in actual geometries. It discusses practical examples and gaps in our understanding, while reviewing in depth the theoretical background and algorithms. Over the last ten years, several world-class academics, automotive original equipment manufacturers (OEMs), battery cell manufacturers and software developers worked together under an effort initiated by the U.S. Department of Energy to develop mature, validated modeling tools to simulate design, performance, safety and life of automotive batteries. Until recently, battery modeling was a niche focus area with a relatively small number of experts. This book opens up the research topic for a broader audience from industry and academia alike. It is a valuable resource for anyone who works on battery engineering but has limited hands-on experience with coding.
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| 500 |
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|a Includes index.
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| 588 |
0 |
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|a Online resource; title from PDF title page (SpringerLink, viewed March 22, 2023).
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| 650 |
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|a Electric batteries
|x Mathematical models.
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| 650 |
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|a Computer-aided engineering.
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| 650 |
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|a computer-aided engineering.
|2 aat
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| 650 |
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|a Computer-aided engineering
|2 fast
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| 650 |
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|a Electric batteries
|x Mathematical models
|2 fast
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| 700 |
1 |
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|a Santhanagopalan, Shriram,
|e editor.
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| 776 |
0 |
8 |
|i Print version:
|a Santhanagopalan, Shriram
|t Computer Aided Engineering of Batteries
|d Cham : Springer International Publishing AG,c2023
|z 9783031176067
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| 830 |
|
0 |
|a Modern aspects of electrochemistry ;
|v no. 62.
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| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-17607-4
|y Click for online access
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| 903 |
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|a SPRING-ALL2023
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| 994 |
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|a 92
|b HCD
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