TY - JOUR AU - Partha Paul AU - Eric J McShane AU - Eric M Colclasure AU - Nitash P Balsara AU - David E Brown AU - Chuntian Cao AU - Bor-Rong Chen AU - Parameswara R Chinnam AU - Yi Cui AU - Eric J Dufek AU - Donal P Finegan AU - Samuel Gillard AU - Wenxiao Huang AU - Zachary M Konz AU - Robert Kostecki AU - Fang Liu AU - Sean D Lubner AU - Ravi S Prasher AU - Molleigh B Preefer AU - Ji Qian AU - Marco-Tulio Fonseca Rodrigues AU - Manuel Schnabel AU - Seoung‐Bum Son AU - Venkat Srinivasan AU - Hans-Georg Steinrück AU - Tanvir R Tanim AU - Michael F Toney AU - Wei Tong AU - Francois Usseglio‐Viretta AU - Jiayu Wan AU - Maha Yusuf AU - Bryan D McCloskey AU - Johanna Nelson Weker AB -

Whether attempting to eliminate parasitic Li metal plating on graphite (and other Li-ion anodes) or enabling stable, uniform Li metal formation in ‘anode-free’ Li battery configurations, the detection and characterization (morphology, microstructure, chemistry) of Li that cannot be reversibly cycled is essential to understand the behavior and degradation of rechargeable batteries. In this review, various approaches used to detect and characterize the formation of Li in batteries are discussed. Each technique has its unique set of advantages and limitations, and works towards solving only part of the full puzzle of battery degradation. Going forward, multimodal characterization holds the most promise towards addressing two pressing concerns in the implementation of the next generation of batteries in the transportation sector (viz. reducing recharging times and increasing the available capacity per recharge without sacrificing cycle life). Such characterizations involve combining several techniques (experimental- and/or modeling-based) in order to exploit their respective advantages and allow a more comprehensive view of cell degradation and the role of Li metal formation in it. It is also discussed which individual techniques, or combinations thereof, can be implemented in real-world battery management systems on-board electric vehicles for early detection of potential battery degradation that would lead to failure.

BT - Advanced Energy Materials DA - 03/2021 DO - 10.1002/aenm.202100372 IS - 17 LA - eng N2 -

Whether attempting to eliminate parasitic Li metal plating on graphite (and other Li-ion anodes) or enabling stable, uniform Li metal formation in ‘anode-free’ Li battery configurations, the detection and characterization (morphology, microstructure, chemistry) of Li that cannot be reversibly cycled is essential to understand the behavior and degradation of rechargeable batteries. In this review, various approaches used to detect and characterize the formation of Li in batteries are discussed. Each technique has its unique set of advantages and limitations, and works towards solving only part of the full puzzle of battery degradation. Going forward, multimodal characterization holds the most promise towards addressing two pressing concerns in the implementation of the next generation of batteries in the transportation sector (viz. reducing recharging times and increasing the available capacity per recharge without sacrificing cycle life). Such characterizations involve combining several techniques (experimental- and/or modeling-based) in order to exploit their respective advantages and allow a more comprehensive view of cell degradation and the role of Li metal formation in it. It is also discussed which individual techniques, or combinations thereof, can be implemented in real-world battery management systems on-board electric vehicles for early detection of potential battery degradation that would lead to failure.

PY - 2021 EP - 2100372 ST - Adv. Energy Mater. T2 - Advanced Energy Materials TI - A Review of Existing and Emerging Methods for Lithium Detection and Characterization in Li‐Ion and Li‐Metal Batteries VL - 11 SN - 1614-6832 ER -