
Lithium-ion batteries, essential for electric vehicle applications, face significant challenges in safety and performance due to degradation mechanisms such as lithium plating. This undesired reaction on the anode limits the battery's fast-charging capabilities, leading to a higher risk of Thermal Runaway. While materialimprovements in battery design provide some resilience, real-time control strategies are necessary to prevent lithium plating and mitigate Thermal Runaway risks. This study analyzes laboratory-scale lithium plating generation procedures and advanced in-operando detection methods to monitor and manage lithium plating.Methods include impedance analysis, Distributed Relaxation Times (DRT) analysis, voltage relaxation profiling, and incremental Capacity analysis (ICA). Findings from these studies can enhance battery management systems (BMS), offering improved fast-charging control protocols and State of Safety (SoS) monitoring.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
