Reprint
Lifetime Prediction and Simulation Models of Different Energy Storage Devices
Edited by
July 2020
92 pages
- ISBN978-3-03936-561-6 (Hardback)
- ISBN978-3-03936-562-3 (PDF)
This book is a reprint of the Special Issue Lifetime Prediction and Simulation Models of Different Energy Storage Devices that was published in
Business & Economics
Environmental & Earth Sciences
Social Sciences, Arts & Humanities
Summary
Energy storage is one of the most important enablers for the transformation to a sustainable energy supply with greater mobility. For vehicles, but also for many stationary applications, the batteries used for energy storage are very flexible but also have a rather limited lifetime compared to other storage principles. This Special Issue is a collection of articles that collectively address the following questions:
- What are the factors influencing the aging of different energy storage technologies?
- How can we extend the lifetime of storage systems?
- How can the aging of an energy storage be detected and predicted? When do we have to exchange the storage device?
The articles cover lithium-ion batteries, supercaps, and flywheels.
Format
- Hardback
License and Copyright
© 2020 by the authors; CC BY-NC-ND license
Keywords
lithium-ion battery; battery ageing; cyclic ageing tests; current ripple; triangular current; power electronics; DC/DC-converter; half bridge converter; distribution of relaxation times; li-ion cells; lithium plating; kinetic balancing; ionic conductivity; modeling; flywheel energy storage; FESS; e-mobility; battery; supercapacitor; lifetime comparison; charging station; renewable energy storage; inhomogeneous pressure; localized plating; mechanical stress; separator; tortuosity; ICP-OES; scanning electron microscope; lithium-ion battery; lithium-ion batteries; ageing; mechanical fatigue; volume change; measurement technique; silicon anode