(Digital Presentation) Mapping of Degradation Processes in Ni-Rich Layered Oxide Cathode Materials in State-of-the-Art Commercial Li-Ion Cells Based on Battery Usage Conditions

• DOI: 10.1149/ma2022-012371mtgabs
• Publication Date: 2022-07-14T16:36:53Z
• Authors: Anastasiia Mikhee...; Niladri Roy Chowd...; Alexander James S...; Yonas Tesfamhret; Cesar Pay Gómez; Rakel Wreland Lin...; Torbjörn Thiringer; Erik J. Berg; Matthew Lacey; Maria Hahlin
• Keywords: Energy-dispersive X-ray spectroscopy

Ni-rich oxide cathode active materials are today key components in Li-ion batteries used for electric vehicles (EV). The high capacity of LiNi x Co y Mn z O 2 and Al (NCA) with x≥0.6 has enabled a continued increase energy density decrease cost at the pack level, enabling rapid growth EV market recent years. Despite wide use, rather fast material ageing results being source considerable environmental impact [1]. Various degradation sources highlighted literature, these include transition metal dissolution, surface layer reconstruction, particle cracking, etc [2]. However, when extrapolating knowledge from model cell to commercial battery relevance degree can drastically change [3]. importance approaching real conditions is full understanding processes occurring cells. In given work, we analyse state-of-art 2170 cylindrical cells were aged various temperatures state charge windows, targeting divergent usage scenarios. accessed range analytical techniques applied extracted electrodes (x-ray diffraction, inductively coupled plasma atomic emission spectroscopy, scanning electron microscopy, energy-dispersive X-ray cycling voltammetry, incremental analysis, electrochemical impedance spectroscopy intermittent current interruption). work show that depending on operating conditions, influence varies. Additionally, mapping within geometry presented highlighting “hot spots” [4]. References [1] W. Liu et al., “Nickel-Rich Layered Lithium Transition-Metal Oxide High-Energy Lithium-Ion Batteries,” Angew. Chemie Int. Ed., vol. 54, no. 15, pp. 4440–4457, Apr. 2015. [2] T. Li, X.-Z. Yuan, L. Zhang, D. Song, K. Shi, C. Bock, Degradation Mechanisms Mitigation Strategies Nickel-Rich NMC-Based Batteries, 2018, January 2017. Springer Singapore, 2019. [3] M. Lucu “Data-driven nonparametric aiming learning operation data – Part A: Storage operation,” J. Energy Storage, 30, p. 101409, Aug. 2020. [4] Mikheenkova manuscript .