Electrochemical Power Sources: Fundamentals, Systems, and Applications

Knowing the behaviour of batteries is very important for different reasons. In applications such as a vehicle energy management, it is important to know the state of the battery, e.g. what is the remaining driving range or when should the battery be replaced. Also, for the system design, simulation models are important, e.g. to design a suitable cooling system that prevents the battery from dangerous states. Simulation models of secondary batteries: From quantum physics to techno-economic scale gives an overview over the different modelling approaches for battery simulation models used for different purposes, such as battery pack design or state of charge estimation. Solutions for different applications are presented. A classification into electrical, thermal, ageing models is given as well as according to the degree of precision ranging from physico-chemical, over impedance based to energy flow or empirical models with their specific advantages and disadvantages. Overviews many different battery modelling approaches Outlines how to choose the best model for a given purpose Offers a complete range from particle to system model Includes electrical, thermal and ageing models Discusses limitations of the modelling approaches INDICE: 1. Quantum physics models2. Physico chemical models3. Impedance based models4. Thermal models5. Ageing models6. Techno economic models7. Lithium-Ion battery models8. Lithium-sulfur battery models9. Lead-acid battery models10. Supercap models11. Metal-air battery models12. Redox Flow battery models13. High temperature battey models

• ISBN: 978-0-12-819987-9
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 312
• Fecha Publicación: 01/07/2023
• Nº Volúmenes: 1
• Idioma: Inglés