Lithium-Ion Batteries Aging Mechanisms, 3rd Edition

Dear Colleagues,

Lithium-based batteries (including lithium-ion, lithium–sulfur and lithium–air cells) are considered to enable technology for important industrial sectors including transports, consumer electronics and stationary energy storage. A long calendar and cycle life are key requirements to guarantee penetration of the market. The understanding of chemical and physical mechanisms of battery degradation is the first step to developing more reliable and durable systems. Moreover, the monitoring of a battery during its life through different types of sensors to determine the state of health (SOH) and the use of self-healing materials is becoming a more and more popular solution to improve the reliability and durability of Li-ion batteries.

In this Special Issue, we are looking for contributions helping to:

• Understand aging mechanisms through in situ and ex situ post-mortem chemical analysis of cell components.
• Simulate the degradation of materials through multiscale modeling.
• Develop new in situ and online sensing principles and approaches to monitor the degradation phenomena.
• Implement new accelerated aging protocols and state estimation methods (e.g., artificial neural networks, machine learning).
• Improve the control strategies of the energy storage system to prolong the lifetime of lithium cells.
• Develop new self-healing materials able to recover the original functionality after damage.
• Determine the impact of aging on the safety of the energy storage system.
• Conceive reuse and recovery strategies for aged cells.

Topics of interest include, but are not limited to:

• Chemical analysis of materials and post-mortem analysis of components.
• Innovative accelerated aging protocols.
• Multiscale modeling of aging processes.
• State-of-health (SOH) estimation.
• Sensors for in situ and operando cell monitoring.
• Self-healing functionalities.
• Influence of aging on cost and environmental analyses of the energy storage system.
• Control logic of energy storage system.
• Life cycle assessment (LCA).
• Reuse, repurpose and recycling of Li-ion batteries.

Dr. Mauro Francesco Sgroi
Guest Editor

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