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 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.

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