Lifetime Prediction and Simulation Models of Different Energy Storage Devices
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".
Deadline for manuscript submissions: closed (31 May 2020) | Viewed by 29154
Special Issue Editor
Interests: batteries; lithium-ion; lead-acid; supercaps; lithium-air; zinc-air; simulation; impedance spectroscopy; ageing; battery management system; state determination
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Energy storage is one of the most important enablers for the transformation to a sustainable energy supply and mobility. For vehicles, but also for many stationary applications, batteries are used that are very flexible but that also have a rather limited lifetime compared to other storage principles. Many different battery technologies exist, which in part show a similar ageing behavior, but each of which mostly has an own characteristic ageing processes. Other storage principles such as supercaps, fuel cell/electrolyzer/storage systems or thermal storage also show declining performance with time. For reliable systems and cost calculations, it is therefore necessary to understand the ageing processes as well as its influencing factors.
Questions that need to be answered are, for example:
- What are the factors influencing the ageing of different energy storage technologies?
- How can we extend their lifetime? How can we optimize the operation of energy storage for the optimum lifetime, while fulfilling the purpose of storage?
- How can the ageing of an energy storage be detected and predicted? When do we have to exchange the storage device?
The purpose of this Special Issue is to collect research articles related to the questions above. A special (but not exclusive) focus will be placed on the following topics:
- Ageing simulation models of different energy storage devices
- State of health detection of different energy storage devices
- Lifetime tests and analysis of influence factors of different energy storage devices
- Operating strategies with the aim of an optimized lifetime of different energy storage devices
Prof. Dr. Julia Kowal
Guest Editor
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Keywords
- lifetime prediction
- simulation model
- state of health
- ageing tests
- operating strategy
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