4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique

Ziesche, R.; Arlt, Tobias; Finegan, Donal P.; Heenan, Thomas M. M.; Tengattini, Alessandro; Baum, Daniel; Kardjilov, Nikolay; Markötter, Henning; Manke, Ingo; Kockelmann, W.; Brett, Dan J. L.

doi:10.1038/s41467-019-13943-3

Cited by 125 publications

(112 citation statements)

References 39 publications

Supporting

Mentioning

110

Contrasting

Order By: Relevance

“…Ziesche et al studied 4D imaging of primary lithium-batteries (LixMnO2) using correlative neutron and X-ray tomography. [196] The non-destructive nature of both X-ray and neutron CT provides opportunities for four-dimensional (4D) studies to explore the evolution of three-dimensional (3D) structures with time. After a series of data processing steps, these shadow images were converted to cross-sectional slices that were then stacked together to render a 3D reconstruction of the cell.…”

Section: Optical Detection Methodsmentioning

confidence: 99%

Lithium Plating Detection Methods in Lithium-Ion Batteries

2020

View full text Add to dashboard Cite

Lithium-ion batteries provide a low-cost, long cycle-life and high energy density solution to the expediting energy requirement of the automotive industry. There is a growing need of fast charging batteries for commercial application. However, large charging currents may cause Lithium plating which describes the deposition of metallic Lithium at the anode surface. It takes place at conditions of high currents and/or low temperatures because of kinetic limitations. The main reason behind plating is the slow solid-state diffusion of Lithium ions inside the active material. If the anode surface potential falls below 0 V versus Li/Li+, the formation of metallic Lithium is thermodynamically feasible. To avoid or reduce the amount Lithium plating, it is essential to detect its onset during a charging event. Determination of accurate Lithium plating curve is crucial in estimating the boundary conditions for battery operation without compromising life and safety. There are various data analysis methods involved in deriving the Lithium plating curve: anode potential using a three-electrode cell, variation of relaxation voltage after charging (dV/dt), variation of accumulated charge with voltage (dQ/dV) and coulombic efficiency of charge/discharge with %SOC (state of charge) are more commonly employed techniques. In addition to these methods, estimation of its occurrence is typically underpinned by electrochemical models where the negative (anode) electrode potential is expressed by a set of partial differential equations based on the electrochemical and physical properties of the battery components such as the electrodes and electrolyte. The present paper reviews the common test methods and analysis that are currently utilized in Lithium plating determination. Knowledge gaps are identified, and recommendations are made for the future development in the determination and verification of Lithium plating curve in terms of modelling and analysis.

show abstract

Section: Optical Detection Methodsmentioning

confidence: 99%

Lithium Plating Detection Methods in Lithium-Ion Batteries

2020

View full text Add to dashboard Cite

show abstract

“…f) Displays the reconstructed tomograms from neutron and X‐ray CT along with examples of sections extracted following virtual unrolling of the reconstructions. [ 94 ] Reproduced under the terms of the Creative Commons CC BY license. [ 94 ] Copyright 2020, the Authors.…”

Section: Neutron Imagingmentioning

confidence: 99%

Section: Neutron Imagingmentioning

confidence: 99%

“…Moreover, the 3D information based on X‐ray and neutron tomography can also be correlated. As shown in Figure 12f, Ralf et al [ 94 ] demonstrated a powerful method to build the reconstructed tomogram of a commercial cylindrical battery by combining the neutron and X‐ray CT tomography. And a visual technique was used to unroll the electrode from the 3D model to give a clear observation on the result.…”

Section: Neutron Imagingmentioning

confidence: 99%

See 1 more Smart Citation

Recent Progress on Advanced Imaging Techniques for Lithium‐Ion Batteries

Deng

Xing

Huang³

et al. 2020

Advanced Energy Materials

View full text Add to dashboard Cite

Lithium‐ion batteries are the most commercially successful electrochemical devices, extensively used in intelligent electronics, electric vehicles, grid energy storages, etc. However, there still needs to be further improvement of their performance such as in energy density, cyclability, rate capability, and safety. To do so, it is necessary to understand the detailed structural evolution progress inside the battery. Many advanced imaging techniques have been developed to directly monitor the status and get some key information inside the battery. For advanced imaging techniques, superhigh resolution, fully informative function, nondestruction of the sample, and in situ observation are required. This review introduces and discusses some recent important progress on a variety of advanced imaging techniques for battery research. These imaging techniques have enabled the visualization of sub‐micrometer level chemical valence distribution, evolution of solid‐electrolyte interface, Li dendrite growth, and trace amount of gassing, etc., which greatly promote the development of rechargeable batteries. Of particular note, a new ultrasonic imaging technique has been recently developed to monitor gas generation, the electrolyte wetting process, and the state of charge in the battery. Finally, a perspective is given on some future developments in the imaging techniques for Li‐ion batteries and other rechargeable batteries.

show abstract

“…To compete efficiently against small‐molecule CAs, nanomaterials must cause negligible biosafety risk after in vivo administration, while furnishing at least one substantial superiority, such as improved resolution, augmented imaging sensitivity, or multiplexing capability 30 . Currently, the representative nanomaterial‐based imaging modalities in clinical settings or preclinical research include MRI, 31 positron emission tomography (PET), 32 single‐photon emission computed tomography, 33 computed tomography (CT), 34 optical fluorescence imaging, 35 PA imaging, 36 and ultrasound (US) imaging 37 …”

Section: Materdicine In Bioimagingmentioning

confidence: 99%

Materdicine: Interdiscipline of materials and medicine

Xiang

Chen

2020

VIEW

View full text Add to dashboard Cite

The clinical medicine and biomaterials are two fields that are conducive to achieve the goal of precise medicine on diagnostics and therapeutics of various diseases. The interdiscipline of materials and medicine, termed/abbreviated as “materdicine,” seeks to address the dominant medical shortcomings and challenges faced by conventional medicine, including inferior bioavailability, systemic toxicity, poor targeting specificity, and unsatisfied diagnostic/therapeutic efficacy. In this review, we present the perspective and discussion on the use of diverse biomaterials for disease diagnosis and treatment from a broad perspective, especially on nanoscale biomaterials. We initially highlight the recent advances on the engineering of abundant contrast agents for diagnostic bioimaging, such as optical fluorescence imaging, magnetic resonance imaging, and photoacoustic imaging. In addition, discussions on the diagnostic biosensing for point‐of‐care diagnosis, such as fluorescent and plasmonic sensors, are supplemented. Furthermore, we outline several materdicine‐enabled therapeutic modalities for disease treatments, including the following exemplified scaffold biomaterials for regenerative medicine. Especially, rational modulation of toxicity issues of micro‐/nanoscale biomaterials is also accounted for addressing the possible concerns of biocompatibility and biosafety on further clinical translation of materdicine. Finally, we summarize facing challenges and outlook future developments relating to the clinical translation of these distinctive biomaterials in materdicine.

show abstract

4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique

Cited by 125 publications

References 39 publications

Lithium Plating Detection Methods in Lithium-Ion Batteries

Lithium Plating Detection Methods in Lithium-Ion Batteries

Recent Progress on Advanced Imaging Techniques for Lithium‐Ion Batteries

Materdicine: Interdiscipline of materials and medicine

Contact Info

Product

Resources

About