Lithium-Sulfur Batteries

Modeling

For an introduction to the basic electrochemical theory, see Chapter 1, Electrochemical theory and physics. Part III begins with Chapter 8, a review of the current state of the art in physics‐based modeling of Li–S systems. 0D models up to multi‐scale models are discussed along with the limitations and knowledge that can be retrieved from simulating the underlying mechanisms of the lithium–sulfur cell. Chapter 7 includes a review of models that specifically focus on degradation mechanisms.

Chapter 9 looks at the development of state estimation models for application in battery management systems to determine real‐time state of charge and state of health estimations, an important enabler for application engineers. Predictive modeling techniques are taken from computer science, and better informed by the development of physics‐based models and knowledge of the underlying mechanisms (Part II).

Modeling of batteries stems from an understanding of the underlying mechanisms derived from analytical studies (Part II) and materials research (Part I) and can be practically applied in the control systems and battery management systems of applications (Part IV). Working predictive models of differing battery technologies are used by application engineers when developing products and choosing components to optimize battery performance at the systems level. Capturing the performance of a lithium–sulfur battery in an accurate predictive model will lead to better understanding ...