Reprint
Lifetime Prediction and Simulation Models of Different Energy Storage Devices
Edited by
July 2020
92 pages
- ISBN 978-3-03936-561-6 (Hardback)
- ISBN 978-3-03936-562-3 (PDF)
This 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.