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Preface |
6 |
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Contents |
8 |
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1 Atomistic Modeling of Electrode Materials for Li-Ion Batteries: From Bulk to Interfaces |
9 |
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Abstract |
9 |
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1 Introduction |
9 |
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2 Macroscopic Picture of an Electrochemical Reaction |
11 |
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2.1 Microscopic Picture of an Electrochemical Reaction |
13 |
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2.2 Beyond the Thermodynamic Equilibrium |
14 |
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2.3 First-Principles Approach to Condensed Matter |
15 |
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3 Modelization of Bulk Materials |
18 |
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3.1 Equilibrium Crystal Structures |
18 |
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3.2 Finite Temperature Effects |
21 |
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3.3 Electrochemical Properties |
24 |
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4 Modelization of Interfaces |
30 |
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4.1 Surface/Interface Thermodynamics |
30 |
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4.2 First-Principles Approach to Charged Surfaces |
33 |
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4.3 Application to Solid/Liquid Interfaces |
35 |
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4.4 Application to Solid/Solid Interfaces |
36 |
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5 Perspectives |
39 |
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References |
40 |
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2 Multi-scale Simulation Study of Pt-Alloys Degradation for Fuel Cells Applications |
45 |
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Abstract |
45 |
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1 Introduction |
45 |
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2 Time Evolution by Molecular Dynamics and DFT Simulations |
48 |
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3 Time Evolution of PtM Alloys by KMC Methods |
51 |
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4 Degradation of PtCo Skin |
57 |
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5 Concluding Remarks |
64 |
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References |
65 |
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3 Molecular Dynamics Simulations of Electrochemical Energy Storage Devices |
68 |
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Abstract |
68 |
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1 Introduction |
69 |
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2 Molecular Dynamics |
71 |
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2.1 Principle |
71 |
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2.2 All-Atom Force Fields |
71 |
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2.3 Modelling Metallic Electrodes at Constant Potential |
72 |
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2.4 Coarse-Grained Force Fields |
73 |
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3 Li-Ion Batteries |
74 |
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3.1 A Polarizable Force Field Based on First-Principles Calculations |
75 |
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3.2 Conduction Mechanism in Stoichiometric LiMgSO4F |
76 |
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3.3 Effect of Li+ Vacancies |
80 |
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3.4 On the Importance of Finite-Size Effects |
82 |
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4 Supercapacitors |
83 |
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4.1 Increase of the Capacitance in Nanoporous Carbons |
83 |
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4.2 Effect of the Local Structure |
86 |
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4.3 Dynamics of Charging: Coarse-Graining Further |
88 |
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5 Perspectives |
89 |
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References |
90 |
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4 Continuum, Macroscopic Modeling of Polymer-Electrolyte Fuel Cells |
97 |
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Abstract |
97 |
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1 Introduction |
97 |
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1.1 Modeling Dimension |
101 |
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2 Basic Governing Equations |
103 |
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2.1 Material |
104 |
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2.1.1 Charge |
106 |
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2.1.2 Momentum |
109 |
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2.1.3 Energy |
110 |
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3 Membrane |
112 |
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3.1 Membrane Uptake, Morphology, and Function |
114 |
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3.1.1 Calculating Water Uptake |
116 |
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3.2 Transport Equations |
119 |
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3.2.1 General Governing Equations |
119 |
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3.2.2 Choice of Water Driving Force and Transport Parameters |
121 |
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3.2.3 Gas Crossover |
123 |
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3.3 Membrane Swelling |
124 |
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3.4 Contamination and Multi-ion Transport |
125 |
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4 Gas-Diffusion Media |
128 |
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4.1 Modeling Equations |
128 |
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4.1.1 Gas Phase |
129 |
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4.1.2 Liquid Phase |
130 |
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4.1.3 Heat Transport |
131 |
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4.1.4 Liquid/Vapor/Heat Interactions |
132 |
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4.2 Microporous Layers and Pore-Network Modeling |
133 |
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4.3 Transport in the Gas Channel |
134 |
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4.3.1 Droplet Movement |
136 |
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5 Catalyst Layer |
137 |
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5.1 Kinetics |
138 |
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5.2 Transport Phenomena |
143 |
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5.2.1 Agglomerate Length Scale and Ionomer Films |
144 |
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5.3 Electrochemical Impedance Spectroscopy |
146 |
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6 Summary and Future Outlook |
149 |
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References |
150 |
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5 Mathematical Modeling of Aging of Li-Ion Batteries |
156 |
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Abstract |
156 |
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1 Introduction |
156 |
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2 Brief Overview of the Degradation Phenomena in Li-Ion Batteries |
160 |
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2.1 Aging at the Anode |
160 |
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2.2 Aging at the Cathode |
163 |
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3 Mathematical Models |
166 |
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3.1 Performance (Aging-Free) Models |
166 |
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3.1.1 Model of the Elementary Sandwich (``Dualfoil'') |
166 |
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3.1.2 Single-Particle Model |
169 |
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3.2 Modeling of Aging Phenomena |
170 |
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4 Model-Aided Analysis of Battery Aging |
177 |
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4.1 Typical Aging Experiments and Characterization |
177 |
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4.1.1 Aging protocols |
177 |
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4.1.2 Nonintrusive Cell Characterization Techniques |
178 |
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4.1.3 Intrusive Analysis |
182 |
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4.2 ``Snapshot'' Analysis with the Aging-Free Model |
185 |
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4.3 Analysis with the Aging Model |
189 |
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5 Outlook of Physics-Based Aging Modeling |
191 |
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References |
192 |
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6 Fuel Cells and Batteries In Silico Experimentation Through Integrative Multiscale Modeling |
196 |
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Abstract |
196 |
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1 Introduction |
197 |
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1.1 The Role of Computational Electrochemistry |
198 |
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2 Integrative Multiscale Modeling Methods |
200 |
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3 Application Examples |
206 |
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3.1 Microstructurally Resolved Performance Models |
206 |
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3.2 Performance Models with Detailed Electrochemistry |
219 |
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4 Conclusions and Open Challenges |
229 |
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References |
233 |
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7 Cost Modeling and Valuation of Grid-Scale Electrochemical Energy Storage Technologies |
239 |
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Abstract |
239 |
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1 Introduction |
240 |
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2 Methodology |
241 |
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3 Performance Matrix |
242 |
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4 Techno-Economic Cost Modeling |
244 |
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4.1 Analytics Framework |
245 |
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4.2 Determining Storage Benefits |
245 |
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5 Databases |
249 |
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5.1 Database of Storage Technologies |
249 |
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5.2 Database of Storage Applications |
250 |
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6 Storage Valuation |
250 |
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7 Summary and Conclusion |
252 |
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References |
252 |
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