Operando lithium plating quantification and early detection of a commercial LiFePO 4 cell cycled under dynamic driving schedule
By David Anseán, Matthieu Dubarry, A. Devie, Bor Yann Liaw, V. García, J. Viera, Manuela González. 2017
206 citations recorded by the source corpus.
Abstract Lithium plating is considered one of the most detrimental phenomenon in lithium ion batteries (LIBs), as it increases cell degradation and might lead to safety issues. Plating induced LIB failure presents a major concern for emerging applications in transportation and electrical energy storage. Hence, the necessity to operando monitor, detect and analyze lithium plating becomes critical for safe and reliable usage of LIB systems. Here, we report in situ lithium plating analyses for a commercial graphite||LiFePO4 cell cycled under dynamic stress test (DST) driving schedule. We designed a framework based on incremental capacity (IC) analysis and mechanistic model simulations to quantify degradation modes, relate their effects to lithium plating occurrence and assess cell degradation. The results show that lithium plating was induced by large loss of active material on the negative electrode that eventually led the electrode to over-lithiate. Moreover, when lithium plating emerged, we quantified that the loss of lithium inventory pace was increased by a factor of four. This study illustrates the benefits of the proposed framework to improve lithium plating analysis. It also discloses the symptoms of lithium plating formation, which prove valuable for novel, online strategies on early lithium plating detection.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3d1317547b2faf04c3eef8ff03d64a04ee8f7e21
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In Automotive Engineering
- Xianke Lin
- Kavian Khosravinia
- Wei Dang Lu
- James Marco
- Truong Q. Dinh
- Xiaosong Hu
- Upender Rao Koleti
- Ju Li
In Electrical and Electronic Engineering
- Xianke Lin
- Kavian Khosravinia
- Wei Dang Lu
- James Marco
- Truong Q. Dinh
- Xiaosong Hu
- Upender Rao Koleti
- Ju Li
Citations in the corpus
- Lithium Plating Mechanism, Detection, and Mitigation in Lithium-Ion Batteries (2021, methodology): “In the literature, analyzing voltage plateau after discharging or relaxation and analyzing IC curves are some of the most promising methods for detecting lithium plating [54].”
- A new on-line method for lithium plating detection in lithium-ion batteries (2020, methodology): “4.5 Sensitivity to voltage measurement resolution Although the Maccor cell cycler enables voltage measurement with the resolution of 0.1 mV, it may be difficult to obtain such a high resolution in practical applications using typical BMS hardware.”
- Review—"Knees" in Lithium-Ion Battery Aging Trajectories (2022, unknown): “17,62,87,88,136,168 In one of the broadest studies, Ecker et al. 88 considered six depths of discharge (DODs) — 100, 80, 50, 20, 10, and 5% — with up to six voltage windows per DOD.”