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A pre-fatigue training strategy to stabilize LiCoO2 at high voltage

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Operando Electrochemical Liquid Cell Scanning Transmission Electron Microscopy Investigation of the Growth and Evolution of the Mosaic Solid Electrolyte Interphase for Lithium-Ion Batteries

The solid electrolyte interphase (SEI) is a key component of a lithium-ion battery forming during the first few dischage/charge cycles at the interface between the anode and the electrolyte. The SEI passivates the anode-electrolyte interface by inhibiting ...

Amer Chemical Soc2023

Zinc carboxylate optimization strategy for extending Al-air battery system's lifetime

Andreas Züttel, Thi Ha My Pham, Liping Zhong, Manhui Wei

Although Al-air batteries are expected to be the candidates for energy conversion systems in renewable energy market due to the higher energy density, richer reserves, and lighter mass of Al metal, the anode self-discharge is seen as a notorious issue that ...

ELSEVIER SCI LTD2023

A water-gating and zinc-sieving lignocellulose nanofiber separator for dendrite-free rechargeable aqueous zinc ion battery

Kangning Zhao, Zequan Li, Xu Zhang

The sustainable development of rechargeable aqueous zinc-ion batteries (RZIBs) is severely limited by the uncontrolled zinc dendritic growth and side reactions on the anode. Herein, a lignocellulose nanofiber (LCNF) separator from waste palm with dual-func ...

ELSEVIER SCIENCE SA2023

Fast and Durable Lithium Storage Enabled by Tuning Entropy in Wadsley-Roth Phase Titanium Niobium Oxides

Kangning Zhao, Yuehui Li, Liping Zhong, Rui Xia

Wadsley-Roth phase titanium niobium oxides have received considerable interest as anodes for lithium ion batteries. However, the volume expansion and sluggish ion/electron transport kinetics retard its application in grid scale. Here, fast and durable lith ...

WILEY-V C H VERLAG GMBH2023

Pure Amorphous and Ultrathin Phosphate Layer with Superior Ionic Conduction for Zinc Anode Protection

Kangning Zhao

Fast and uniform ion transport within the solid electrolyte interphase (SEI) is considered a crucial factor for ensuring the long-term stability of metal electrodes. In this study, we present the fabrication of ultrathin artificial interphases consisting o ...

Amer Chemical Soc2023

A colloidal aqueous electrolyte modulated by oleic acid for durable zinc metal anode

Kangning Zhao, Xu Zhang, Di Yang

Continuous dendrites growth, as well as corrosion and side reactions of Zn metal anode seriously hinder the development of aqueous zinc ion batteries. To address these issues, oleic acid (OA) is dispersed into a 2 M ZnSO4 solution to form a novel colloidal ...

ELSEVIER SCIENCE SA2023

Pathways to enhance electrochemical CO2 reduction identified through direct pore-level modeling

Sophia Haussener, Etienne Boutin, Shuo Liu, Evan Fair Johnson

Electrochemical conversion of CO2 to fuels and valuable products is one pathway to reduce CO2 emissions. Electrolyzers using gas diffusion electrodes (GDEs) show much higher current densities than aqueous phase electrolyzers, yet models for multi-physical ...

2023

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Florent Evariste Forest, Yunhong Che

Predictive health assessment is of vital importance for smarter battery management to ensure optimal and safe operations and thus make the most use of battery life. This paper proposes a general framework for battery aging prognostics in order to provide t ...

Elsevier Sci Ltd2023

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Olga Fink, Sergei Garmaev

With the current trend of increasing complexity of industrial systems, the construction and monitoring of health indicators becomes even more challenging. Given that health indicators are commonly employed to predict the end of life, a crucial criterion fo ...

Research Publishing2023

Ageing-aware battery discharge prediction with deep learning

Olga Fink, Luca Biggio

Electrochemical batteries are ubiquitous devices in our society. When employed in mission-critical applications, the ability to precisely predict their end-of-discharge under highly variable operating conditions is of paramount importance in order to suppo ...

ELSEVIER SCI LTD2023

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Operando Electrochemical Liquid Cell Scanning Transmission Electron Microscopy Investigation of the Growth and Evolution of the Mosaic Solid Electrolyte Interphase for Lithium-Ion Batteries

Corsin Battaglia, Rolf Erni

Amer Chemical Soc2023

Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection

Florent Evariste Forest, Yunhong Che

Elsevier Sci Ltd2023

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Olga Fink, Sergei Garmaev

Research Publishing2023

Ageing-aware battery discharge prediction with deep learning

Olga Fink, Luca Biggio

ELSEVIER SCI LTD2023

A water-gating and zinc-sieving lignocellulose nanofiber separator for dendrite-free rechargeable aqueous zinc ion battery

Kangning Zhao, Zequan Li, Xu Zhang

ELSEVIER SCIENCE SA2023