Ultrasonic Scanner for Solid-state Battey Interface Stability Study

用于固态电池界面稳定性研究的超声波扫描仪

基本信息

  • 批准号:
    RTI-2022-00509
  • 负责人:
  • 金额:
    $ 10.93万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Research Tools and Instruments
  • 财政年份:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

Li-ion batteries (LIBs) are one of the most popular and developed energy storage systems in the past years, particularly for portable electronic devices and even electrical vehicles (EVs). However, the current LIBs cannot meet the increasing demand for safety, lifespan, and high energy density. The solid-state batteries (SSBs) have recently emerged as a promising alternative energy storage system for next-generation EVs due to their ability to overcome the safety concerns presented by the flammable liquid electrolytes, which are used in traditional batteries. The SSBs are expected to achieve greater volumetric energy density and last longer without compromising safety or power. However, there are still big challenges for SSBs towards practical applications. One of the major challenges for the development of high-performance SSBs is the interface stability between the electrodes (cathode and anode) with SSEs. To reveal the chemical and electrochemical stability on the interface, various ex-situ and in-situ characterization methods have been demonstrated. However, there are huge limitations for the current characterization techniques when characterizing the interfacial changes in the SBBs. Most of the ex-situ characterization techniques are destructive and the batteries need to be disassembled for preparing the samples. In addition, most of the in-situ characterization techniques, such as Raman and synchrotron-based X-ray techniques, are carried out in specially designed cells, which cannot reflect the real situation in the batteries. In this proposed research, we request funds to purchase a newly developed ultrasonic battery scanner to carry out the in-situ experiments to study the interface stability for solid-state Li and Na batteries. It will graphically reveal side reactions and structural evolution at the interfaces by probing the trace amount of gas generation or contact loss that can be reflected on the ultrasonic transmission scanning image. The new knowledge will guide the design of stable interfaces for high-performance solid-state batteries.
锂离子电池(LIBs)是近年来最受欢迎和发展的储能系统之一,特别是用于便携式电子设备甚至电动汽车(ev)。然而,目前的lib不能满足日益增长的安全性、寿命和高能量密度的需求。固态电池(SSBs)由于能够克服传统电池中使用的易燃液体电解质带来的安全问题,最近成为下一代电动汽车的替代能源存储系统。ssb有望实现更大的体积能量密度,并在不影响安全性或功率的情况下使用更长时间。然而,SSBs在实际应用中仍然面临着很大的挑战。开发高性能固态电池的主要挑战之一是其电极(阴极和阳极)之间的界面稳定性。为了揭示界面上的化学和电化学稳定性,各种非原位和原位表征方法已经被证明。然而,目前的表征技术在表征sbb的界面变化时存在巨大的局限性。大多数非原位表征技术是破坏性的,并且需要拆卸电池来制备样品。此外,大多数原位表征技术,如拉曼和基于同步加速器的x射线技术,都是在专门设计的电池中进行的,无法反映电池中的真实情况。在本研究中,我们申请资金购买新开发的超声波电池扫描仪进行原位实验,研究固态Li和Na电池的界面稳定性。它将通过探测可反映在超声波透射扫描图像上的气体生成或接触损失的痕量,以图形方式揭示界面上的副反应和结构演变。这一新知识将指导高性能固态电池的稳定界面设计。

项目成果

期刊论文数量(0)
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Zhao, Yang其他文献

Establishment and Optimization of Molecular Cytogenetic Techniques (45S rDNA-FISH, GISH, and Fiber-FISH) in Kiwifruit (Actinidia Lindl.).
  • DOI:
    10.3389/fpls.2022.906168
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.6
  • 作者:
    Zhao, Yang;Deng, Honghong;Chen, Yao;Li, Jihan;Chen, Silei;Li, Chunyan;Mu, Xue;Hu, Zhongrong;Li, Kunming;Wang, Weixing
  • 通讯作者:
    Wang, Weixing
Minor hallucinations in Parkinson's disease with probable rapid eye movement sleep behavior disorder.
  • DOI:
    10.3389/fnins.2023.1205439
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Jiang, Yinyin;Zhu, Jun;Zhao, Yang;Li, Dongfeng;Chen, Yaning;Wang, Yaxi;Jiang, Xu;Shen, Bo;Pan, Yang;Yan, Jun;Han, Feng;Zhang, Li
  • 通讯作者:
    Zhang, Li
Energy density response prediction of structures with uncertainty using interval analysis method
利用区间分析法预测不确定结构的能量密度响应
Measuring Micro/Meso Deformation Field of Geo-Materials with SEM and Digital Image Correlation Method
扫描电镜和数字图像相关法测量土工材料微细观变形场
  • DOI:
    10.1166/asl.2011.1613
  • 发表时间:
    2011-04
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zuo, Jian-Ping;Zhao, Yang;Chai, Neng-Bin;Wang, Huai-Wen
  • 通讯作者:
    Wang, Huai-Wen
Risk spillovers in global financial markets: Evidence from the COVID-19 crisis

Zhao, Yang的其他文献

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{{ truncateString('Zhao, Yang', 18)}}的其他基金

Development of High-Performance and Safe Next-Generation All-Solid-State Na Batteries
高性能、安全的下一代全固态钠电池的开发
  • 批准号:
    RGPIN-2021-03392
  • 财政年份:
    2022
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Methods for statistical analysis with nonmonotone missing at random data
随机数据非单调缺失的统计分析方法
  • 批准号:
    DDG-2022-00021
  • 财政年份:
    2022
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Development Grant
Development of High-Performance and Safe Next-Generation All-Solid-State Na Batteries
高性能、安全的下一代全固态钠电池的开发
  • 批准号:
    RGPIN-2021-03392
  • 财政年份:
    2021
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Development of High-Performance and Safe Next-Generation All-Solid-State Na Batteries
高性能、安全的下一代全固态钠电池的开发
  • 批准号:
    DGECR-2021-00339
  • 财政年份:
    2021
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Launch Supplement
Topics in statistical analysis with missing data
缺失数据统计分析的主题
  • 批准号:
    RGPIN-2014-04051
  • 财政年份:
    2018
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Topics in statistical analysis with missing data
缺失数据统计分析的主题
  • 批准号:
    RGPIN-2014-04051
  • 财政年份:
    2017
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Topics in statistical analysis with missing data
缺失数据统计分析的主题
  • 批准号:
    RGPIN-2014-04051
  • 财政年份:
    2016
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Topics in statistical analysis with missing data
缺失数据统计分析的主题
  • 批准号:
    RGPIN-2014-04051
  • 财政年份:
    2015
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Topics in statistical analysis with missing data
缺失数据统计分析的主题
  • 批准号:
    RGPIN-2014-04051
  • 财政年份:
    2014
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual
Topics in statistical analysis with incomplete data
不完整数据的统计分析主题
  • 批准号:
    327037-2009
  • 财政年份:
    2013
  • 资助金额:
    $ 10.93万
  • 项目类别:
    Discovery Grants Program - Individual

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