14. Modeling of Lithium-Ion Batteries
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Danny Chhin
Abstract
Batteries are a complex system. The performances of a battery depend not only in the kinetics of the active material but also of mass transport limitations. Thus, the way the active material is processed into a composite electrode as well as the cell characteristic can impact overall cell performances significantly. As lithium-ion battery is poised to become a multi-billion-dollar industry that span over portable electronics, electric vehicles and storage of renewable energy, qualitative assessment of these limitations is key for future improvement. As such, simulation has become an invaluable tool in the field of lithium ion battery research. The following chapter introduces the Newman volume average approach for lithium-ion battery simulation. Notably this includes the description of fundamental processes occurring during lithium-ion battery operation, typical characterizations methods to obtain key simulation parameters and a complete simulation example.
Abstract
Batteries are a complex system. The performances of a battery depend not only in the kinetics of the active material but also of mass transport limitations. Thus, the way the active material is processed into a composite electrode as well as the cell characteristic can impact overall cell performances significantly. As lithium-ion battery is poised to become a multi-billion-dollar industry that span over portable electronics, electric vehicles and storage of renewable energy, qualitative assessment of these limitations is key for future improvement. As such, simulation has become an invaluable tool in the field of lithium ion battery research. The following chapter introduces the Newman volume average approach for lithium-ion battery simulation. Notably this includes the description of fundamental processes occurring during lithium-ion battery operation, typical characterizations methods to obtain key simulation parameters and a complete simulation example.
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Contents IX
- List of Contributors XI
- 1. Design Principles for Organic Semiconductors 1
- 2. CO2-Controlled Polymer Self-Assembly and Application 51
- 3. Self-Healing Materials: Design and Applications 87
- 4. Redox-Responsive Self-Assembled Amphiphilic Materials: Review and Application to Biological Systems 113
- 5. Ultrafine Nanofiber Formation by Centrifugal Spinning 143
- 6. Rational Design of Highly Efficient Non-precious Metal Catalysts for Oxygen Reduction in Fuel Cells and Metal–Air Batteries 161
- 7. Toward the Assembly of Dynamic and Complex DNA Nanostructures 183
- 8. Alternating Copolymer Nanotubes 209
- 9. Molecular Glasses: Emerging Materials for the Next Generation 239
- 10. Production of Pluripotent Stem Cell-Derived Pancreatic Cells by Manipulating Cell-Surface Interactions 261
- 11. Phase Diagram of an Au–Pt Solid Core–Liquid Shell Nanoparticle 285
- 12. Directing the Self-Assembly of Nanoparticles for Advanced Materials 307
- 13. Toward Well-Defined Carbon Nanotubes and Graphene Nanoribbons 327
- 14. Modeling of Lithium-Ion Batteries 353
- Index 389
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Contents IX
- List of Contributors XI
- 1. Design Principles for Organic Semiconductors 1
- 2. CO2-Controlled Polymer Self-Assembly and Application 51
- 3. Self-Healing Materials: Design and Applications 87
- 4. Redox-Responsive Self-Assembled Amphiphilic Materials: Review and Application to Biological Systems 113
- 5. Ultrafine Nanofiber Formation by Centrifugal Spinning 143
- 6. Rational Design of Highly Efficient Non-precious Metal Catalysts for Oxygen Reduction in Fuel Cells and Metal–Air Batteries 161
- 7. Toward the Assembly of Dynamic and Complex DNA Nanostructures 183
- 8. Alternating Copolymer Nanotubes 209
- 9. Molecular Glasses: Emerging Materials for the Next Generation 239
- 10. Production of Pluripotent Stem Cell-Derived Pancreatic Cells by Manipulating Cell-Surface Interactions 261
- 11. Phase Diagram of an Au–Pt Solid Core–Liquid Shell Nanoparticle 285
- 12. Directing the Self-Assembly of Nanoparticles for Advanced Materials 307
- 13. Toward Well-Defined Carbon Nanotubes and Graphene Nanoribbons 327
- 14. Modeling of Lithium-Ion Batteries 353
- Index 389
