Cover Image

Nanostructured materials engineering and characterization for battery applications /

Show other versions (1)

This book explores the engineering and innovation of materials used in battery applications. It delves into various energy storage technologies, focusing on the development and modeling of battery components such as cathodes, anodes, electrolytes, and separators. The authors, a group of experts from...

Full description

Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Gueye, Amadou Belal (Editor)
Format: eBook
Language:English
Published: Amsterdam, Netherlands : Elsevier, 2024.
Subjects:
Storage batteries > Materials.
Nanostructured materials.
Accumulateurs > Matériaux.
Nanomatériaux.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Nanostructured Materials Engineering and Characterization for Battery Applications
  • Copyright Page
  • Contents
  • List of contributors
  • Preface
  • 1 Introduction to energy storage systems and fundamentals
  • 1 Electrochemical energy storage technologies: state of the art, case studies, challenges, and opportunities
  • 1.1 Introduction
  • 1.2 Rechargeable commercialized batteries systems
  • 1.2.1 Lead-acid battery
  • 1.2.1.1 Introduction
  • 1.2.1.2 Composition
  • 1.2.1.3 Principles of lead-acid battery
  • 1.2.2 Ni-Cd battery
  • 1.2.2.1 Introduction
  • 1.2.2.2 Composition
  • 1.2.2.3 Principles of Ni-Cd battery
  • 1.2.2.3.1 Discharge
  • 1.2.2.3.2 Charge
  • 1.2.3 Ni-MH battery
  • 1.2.3.1 Introduction
  • 1.2.3.2 Composition of Ni-MH battery
  • 1.2.3.3 Principle of Ni-MH battery
  • 1.2.3.3.1 Charge
  • 1.2.3.3.2 Discharge
  • 1.2.4 Ni-H2 battery
  • 1.2.4.1 Introduction
  • 1.2.4.2 Composition
  • 1.2.4.3 Principle of Ni-H2 battery
  • 1.2.5 Li-ion battery
  • 1.2.5.1 Introduction
  • 1.2.5.2 Composition
  • 1.2.5.3 Principle of lithium-ion battery
  • 1.2.6 Ni-Zn batteries
  • 1.2.6.1 Introduction
  • 1.2.6.2 Composition
  • 1.2.6.3 Principles of Ni-Zn battery
  • 1.2.6.3.1 Discharge
  • 1.2.6.3.2 Charge
  • 1.2.7 Ni-Fe battery
  • 1.2.7.1 Introduction
  • 1.2.7.2 Composition
  • 1.2.7.3 Principles of Ni-Fe battery
  • 1.2.7.3.1 Discharging
  • 1.2.7.3.2 Charging
  • 1.2.8 Application of rechargeable batteries
  • 1.3 Nonrechargeable commercialized batteries systems
  • 1.4 Others noncommercialized and promising battery systems
  • 1.4.1 Lithium-sulfur battery
  • 1.4.1.1 What makes lithium-sulfur battery a promising technology?
  • 1.4.1.2 What are the problems?
  • 1.4.1.3 The state of research
  • 1.4.2 Lithium-O2 battery
  • 1.4.2.1 What makes lithium-O2 battery a promising technology?
  • 1.4.2.2 What are the problems?
  • 1.4.2.3 The state of research
  • 1.4.3 Solid-state battery
  • 1.4.3.1 What makes solid-state battery a promising technology?
  • 1.4.3.2 What are the problems?
  • 1.4.3.3 The state of research
  • 1.5 Conclusions
  • References
  • 2 Battery modeling
  • 2.1 Introduction
  • 2.2 Electrochemical model
  • 2.2.1 Pseudo-two-dimensional model
  • 2.2.2 Single-particle model
  • 2.3 Reduced-order models
  • 2.3.1 Pade approximation
  • 2.3.2 Balanced truncation
  • 2.3.3 Proper orthogonal decomposition
  • 2.3.4 Galerkin projection method
  • 2.4 Equivalent circuit model
  • 2.4.1 Rint model
  • 2.4.2 Thevenin model
  • 2.4.3 Second-order resistance and capacitance model
  • 2.4.4 PNGV model
  • 2.5 Data-driven model
  • 2.5.1 Grey-box modeling
  • 2.5.1.1 Genetic algorithm
  • 2.5.1.2 Particle swarm optimization
  • 2.5.2 Black-box modeling
  • 2.5.2.1 Neural network models
  • 2.5.2.1.1 Artificial neural network
  • 2.5.2.1.2 Recurrent neural network
  • 2.5.2.2 Other machine learning models
  • 2.5.2.2.1 SVM models
  • 2.5.2.2.2 Extreme learning machine models
  • 2.5.3 Hybrid models
  • 2.5.4 Limitations of data-driven modeling
  • 2.6 Summary
  • References