High resolution in situ imaging and inverse modeling of lithium batteries

锂电池高分辨率原位成像和反演建模

• 批准号: 479258-2015
• 负责人: Goward, Gillian
• 金额: $ 13.71万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=641896
• 关键词: resolution; situ; imaging; inverse; modeling

This proposal brings together a multi-disciplinary team of researchers to develop novel experimental methods for characterizing transport in lithium ion battery electrolytes, and to model the performance of the electrolytes under a range of conditions that mimic real-world driving conditions. The experimental methodology is analogous to magnetic resonance imaging, as utilized in medical applications, and takes advantage of novel design opportunities by using the electrical leads of the electrochemical cells as both the source of applied potential, and the sensors and receptors for the magnetic resonance experiments. Both lithium and fluorine (common components of the electrolytes), are excellent nuclei for MRI, and therefore the technique will be exquisitely sensitive to both spatial and temporal variation of the concentrations of these components. These properties will be probed under strong applied current (as would occur under acceleration or braking conditions), and under a range of temperatures (-30-+50oC). The measured parameters will be utilized as input to mathematical models that will accurately describe the electrochemical system. Broadly stated, this research program aims to increase the rate of adoption of electric vehicle technology in the mass consumer market. This will only be achieved with increased LIB performance reliability, which relies directly on accurate modeling. Success in this endeavour will mitigate the use of fossil fuels in urban centers, and achieve direct health benefits.

该提案汇集了一个多学科的研究团队，以开发用于表征锂离子电池电解质中传输的新实验方法，并在模拟真实驾驶条件的一系列条件下对电解质的性能进行建模。实验方法类似于磁共振成像，如在医学应用中所利用的，并且通过使用电化学电池的电引线作为施加电势的源以及用于磁共振实验的传感器和受体来利用新颖的设计机会。锂和氟（电解质的常见成分）都是MRI的优秀核，因此该技术对这些成分浓度的空间和时间变化都非常敏感。这些特性将在强电流（如在加速或制动条件下发生的情况）和温度范围（-30-+50 ° C）下进行探测。测量的参数将用作数学模型的输入，该模型将准确描述电化学系统。总的来说，这项研究计划旨在提高电动汽车技术在大众消费市场的采用率。这只能通过提高LIB性能可靠性来实现，而这直接依赖于精确的建模。这一努力的成功将减少城市中心化石燃料的使用，并实现直接的健康效益。