Electrochemical Battery Lifetime Testing, Analysis and Estimation
A special issue of Batteries (ISSN 2313-0105).
Deadline for manuscript submissions: closed (15 December 2018) | Viewed by 16794
Special Issue Editor
Interests: energy storage; lithium-ion batteries; battery performance and lifetime testing; accelerated aging; battery performance-degradation modeling; state-of-charge estimation; state-of-health estimation; remaining useful lifetime prediction; aging mechanisms; power and energy management strategies; lithium-ion capacitors; hybrid renewable energy systems
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Special Issue Information
Dear Colleagues,
In the past decade, electrochemical batteries have been developed as the key energy storage technology for a wide range of applications, from portable devices to electric vehicles and renewable energy storage systems. However, batteries are complex and non-linear devices, with their performance and lifetime strongly dependent on operating conditions. Thus, in order to benefit from their characteristics and to assess their suitability for a certain application, the lifetime and degradation behavior (e.g., capacity fade, power degradation) of a battery needs to be known and understood. Subsequently, power and energy management strategies can be developed, which would allow for lifetime maximization and battery cost optimization.
This Special Issue of Batteries focuses on various aspects regarding the lifetime and degradation behavior of batteries. Topics of interests include, but are not limited to:
- Lifetime testing of electrochemical batteries (e.g., Lithium-ion, NiMH, Lead-acid but also newer chemistries, such as Lithium–Sulfur, Sodium Sulfur, etc.)
- Accelerated aging methods for batteries
- Battery lifetime modeling (e.g., electrochemical modeling, performance-degradation modeling, cycle counting, etc.)
- Assessment of battery performance parameters degradation during cycle and calendar aging (e.g., capacity fade, resistance increase, power degradation, etc.)
- Aging mechanisms
- Lifetime and performance-degradation estimation of batteries in various applications (e.g., e-mobility, renewable energy storage systems, UPSs, etc.)
- Optimal energy management strategies for batteries considering their performance-degradation behavior.
Assoc. Prof. Daniel-Ioan Stroe
Guest Editor
Manuscript Submission Information
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Keywords
- Electrochemical Batteries
- Lifetime Testing
- Accelerated Ageing
- Capacity Fade and Power Degradation
- Calendar and Cycle Lifetime
- Performance-Degradation Modeling
- Lifetime Estimation and Investigation
- Aging Mechanisms
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