牛津仪器集团成员
扩展
电池

电池

锂离子电池在过去十年中一直是一项关键的使能技术,并被认为是未来绿色能源发展的重要组成部分。结构表征对于确保产品质量和开发下一代电池都是至关重要的。牛津仪器提供的一系列探测器和分析方法,可以应用在锂电池从研发到生产整个流程中。

生产质量控制 研究
粉末原料的质量(纯度)验证 电池材料中的元素分布
污染物的自动识别 晶粒大小与取向 
生产过程质量监控 了解裂纹的扩展和材料失效机制
粉末的完整特征(成分、粒度和清洁度) 轻元素和束流敏感样品的分析

生产质量控制

为了保证产品的性能、寿命及安全性,锂离子电池所用的材料必须是高纯度的。异物颗粒甚至可能会引起隔膜穿透,造成爆炸、火灾等严重后果,因此,锂离子电池的整个生产过程中,都必须严格监控产品质量。

 了解污染源是消除污染和确保产品质量的第一步,AZtecBattery为粉末颗粒中的异物分析提供了一个完全自动化的解决方案,它具有以下特点:


研发

锂离子电池的研发工作围绕着优化电池性能、提高能量密度、提高功率密度、减缓性能退化等方面展开,而这些课题都与材料微纳米尺度的元素分布、晶粒尺寸、晶粒取向、晶界性质等息息相关,因此,在研发的过程中也会涉及大量锂电池材料的元素及结构表征工作。

但是,很多电池材料都是束流敏感材料,在传统的分析中不能获得理想的结果。牛津仪器Symmetry S2(EBSD)和Ultim Max(EDS)探测器所采用的最新技术大大改善了灵敏度,降低了表征过程中对束流及电压的要求,大大助益了该类材料的相关元素及结构信息的全方位表征。

UltimMax和Symmetry S2具有进行以下分析:

Improving battery manufacturing & design - Application Notes Portfolio for the Battery Industry

As battery technology is pushed further to the edge: we require more reliable, durable, long lasting batteries. This portfolio is a collection of application notes detailing Oxford Instruments solutions and how they have been used to help improve battery performance.

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From Mine to Manufacture

Li-ion batteries have been a key enabling technology over the last decade and are vital to further developments of EVs (Electrical Vehicles). Controlling the cleanliness of the raw materials is critical for ensuring the safety of the batteries. Automated analysis makes it fast and easy to identify contaminants and where the contaminants are being introduced.

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NCM cathode material characterised using EBSD

Discover how EBSD can be used to obtain grain size and texture information from NCM (nickel, cobalt, manganese) cathode material. By characterising and comparing samples of different cathode materials at different stages of the battery’s lifetime, it's possible to link the performance with the microstructure and improve understanding of how the materials can be optimised.

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SEM based analysis of Lithium ion battery materials

New and existing materials for lithium ion batteries are being studied extensively with the aim of increasing their storage capacity and lifetime. While the SEM is an important tool in the study of these materials, characterising the distribution of Li still remains one of the main challenges.

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Identifying contaminants in Li-Ion battery production using AZtecFeature

Lithium Ion batteries are found in most mobile electronic devices (e.g. laptop computers, phones etc). They are the dominant battery technology due to their superior energy to weight ratio and lack of memory effect. They are also the primary battery type used in the latest generation of electric and hybrid cars.

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Improving Li-ion battery performance through materials characterisation

With researches facing significant challenges in improving the performance of Lithium ion batteries, our group of experts explore how material characterisation is key to balancing the essential battery qualities of energy density, power density, cost, safety, and lifetime.

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Relate: Correlative Data Visualisation & Analysis

We will be giving you the chance to see the correlation of EDS, EBSD, EM, and AFM data on a variety of materials and life science applications, including duplex steel, battery materials, and biomedical implants in this webinar.

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Powering the future through nano-characterisation

Learn how to characterise Li-based phases for next generation battery development using Scanning Electron Microscopy (SEM) combined with Energy Dispersive Spectroscopy (EDS) and Electron Backscatter Diffraction (EBSD). In the webinar, learn how you can monitor materials quality throughout the production process and investigate failure mechanisms and develop solutions.

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The Symmetry S2 - An EBSD Detector for Every Application

In this webinar, you will learn about the development of EBSD detector technology and, in particular, about Oxford Instruments' new Symmetry S2 EBSD detector. The presenters will explain some of the important technological developments behind the exceptional performance of the CMOS-based Symmetry S2.

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Nano-characterisation: driving progress in energy generation & storage

Find out how electron microscopy can be combined with light and scanning-probe microscopy analyses on the identical positions in order to investigate structure-property relationships in optoelectronic devices and how all parts of a Li-ion battery can be characterised.

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Low Energy X-Ray Microanalysis: Extreme

Low energy microanalysis requires improvement in hardware: windowless, improved sensitivity, improved energy resolution. It also requires improved software for deconvolution..

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