Investigation of Electrochemical Processes in Solid State Batteries

固态电池电化学过程的研究

基本信息

  • 批准号:
    RGPIN-2022-04988
  • 负责人:
  • 金额:
    $ 1.97万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

The objective of this research is to use computational and experimental techniques to understand the complex processes that govern the operation of a Solid-State Battery (SSB) with an alkali metal as anode, and explore new and novel multi-component solid electrolyte (MSE) configurations to enhance the electrochemical performance of SSBs. The focus is on SSBs because advances in these batteries will result in steep changes in the safety, charging time, driving range, and longevity of electric vehicles. Investigations in this research will be aimed at the following: 1) Quantum mechanics (QM) and Molecular dynamics (MD) approach to study new MSEs: New and novel MSEs that are a combination of inorganic solid electrolytes, polymers, co-polymers, and fillers will be studied to optimize and improve their electrochemical characteristics, combining the advantages of each component. QM and MD simulations will be used to design and optimize the composition of these constituents to achieve MSEs with superior properties such as high ion transference number, high electrochemical stability, and better thermal stability. 2) Investigation of micro and nanoscale processes and the failure mechanisms: MD simulations will be used to understand the formation and propagation of dendrites, factors limiting the critical current densities, the failure mechanisms in SSBs, and develop strategies to improve the critical stripping current. 3) Develop a quantitative macroscale electrochemical model: To understand the performance of the new MSEs in SSBs and explain the relationship between material properties and failure mechanisms, we will develop a non-isothermal and multiphysics macroscale model to simulate the charge-discharge cycles of a SSB. Calculations from QM and MD model will be used within the macroscale model to account for the impact of the processes at lower scales on the overall performance of the battery. 4) Experimental characterization of MSEs and validation of the computational models: Battery cycling experiments will be performed to study the current-voltage profiles, and determine the durability, capacity, and efficiency of the SSBs with the different MSEs, under four distinct C-rates and thermodynamic conditions. NMR spectroscopy and microscopic techniques will be employed to elucidate the degradation mechanisms. The experimental data will be used to determine the key input parameters for the models and validate the predictions from these models. In summary, the proposed research program will use a variety of modern experimental and modelling techniques to gain a fundamental understanding of the processes in a SSB, and help evolve this technology, contributing to Canada's goals on sustainable energy.
本研究的目的是利用计算和实验技术来了解控制以碱金属为阳极的固态电池(SSB)运行的复杂过程,并探索新型多组分固体电解质(MSE)配置以增强SSB的电化学性能。重点是 SSB,因为这些电池的进步将导致电动汽车的安全性、充电时间、行驶里程和寿命发生急剧变化。本研究的调查目标如下: 1) 采用量子力学 (QM) 和分子动力学 (MD) 方法来研究新的 MSE:新型 MSE 是无机固体电解质、聚合物、共聚物和无机固体电解质的组合。我们将研究填料,结合各组分的优点,优化和改善其电化学特性。 QM和MD模拟将用于设计和优化这些成分的组成,以实现具有优异性能的MSE,例如高离子迁移数、高电化学稳定性和更好的热稳定性。 2)微米和纳米尺度工艺和失效机制的研究:MD模拟将用于了解枝晶的形成和传播、限制临界电流密度的因素、SSB的失效机制,并制定提高临界剥离电流的策略。 3)开发定量宏观电化学模型:为了了解SSB中新型MSE的性能并解释材料特性与失效机制之间的关系,我们将开发一个非等温和多物理场宏观模型来模拟充放电循环单边带。 QM 和 MD 模型的计算将用于宏观模型,以解释较低尺度过程对电池整体性能的影响。 4) MSE 的实验表征和计算模型的验证:将进行电池循环实验以研究电流-电压曲线,并确定具有不同 MSE 的 SSB 在四种不同的 C 速率下的耐用性、容量和效率和热力学条件。核磁共振波谱和显微技术将用于阐明降解机制。实验数据将用于确定模型的关键输入参数并验证这些模型的预测。 总之,拟议的研究计划将使用各种现代实验和建模技术来获得对 SSB 过程的基本了解,并帮助发展这项技术,为加拿大实现可持续能源目标做出贡献。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
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Srinivasan, Seshasai其他文献

An improved molecular dynamics algorithm to study thermodiffusion in binary hydrocarbon mixtures
  • DOI:
    10.1063/1.5016342
  • 发表时间:
    2018-03-14
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Antoun, Sylvie;Saghir, M. Ziad;Srinivasan, Seshasai
  • 通讯作者:
    Srinivasan, Seshasai
A Flexible Future Education Model-Strategies Drawn from Teaching during the COVID-19 Pandemic
  • DOI:
    10.3390/educsci11090557
  • 发表时间:
    2021-09-01
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Srinivasan, Seshasai;Lopez Ramos, Juan Antonio;Muhammad, Nasim
  • 通讯作者:
    Muhammad, Nasim
Radiolabeled nanomaterials for biomedical applications: radiopharmacy in the era of nanotechnology.
  • DOI:
    10.1186/s41181-022-00161-4
  • 发表时间:
    2022-04-25
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Pijeira, Martha Sahyli Ortega;Viltres, Herlys;Kozempel, Jan;Sakmar, Michal;Vlk, Martin;Ilem-Ozdemir, Derya;Ekinci, Meliha;Srinivasan, Seshasai;Rajabzadeh, Amin Reza;Ricci-Junior, Eduardo;Alencar, Luciana Magalhaes Rebelo;Al Qahtani, Mohammed;Santos-Oliveira, Ralph
  • 通讯作者:
    Santos-Oliveira, Ralph
Electrochemical sensing of analytes in saliva: Challenges, progress, and perspectives
  • DOI:
    10.1016/j.trac.2023.116965
  • 发表时间:
    2023-02-20
  • 期刊:
  • 影响因子:
    13.1
  • 作者:
    Cardoso, Ana Gomez;Viltres, Herlys;Srinivasan, Seshasai
  • 通讯作者:
    Srinivasan, Seshasai

Srinivasan, Seshasai的其他文献

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{{ truncateString('Srinivasan, Seshasai', 18)}}的其他基金

A Diagnostic Screening Technology for Road-Side Drug Testing
路边药物检测诊断筛查技术
  • 批准号:
    538564-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Collaborative Research and Development Grants
Multi-Scale Investigation of Thermodiffusion With Implications To Electrochemical Systems
热扩散的多尺度研究及其对电化学系统的影响
  • 批准号:
    RGPIN-2015-04737
  • 财政年份:
    2020
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Multi-Scale Investigation of Thermodiffusion With Implications To Electrochemical Systems
热扩散的多尺度研究及其对电化学系统的影响
  • 批准号:
    RGPIN-2015-04737
  • 财政年份:
    2019
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
A Diagnostic Screening Technology for Road-Side Drug Testing
路边药物检测诊断筛查技术
  • 批准号:
    538564-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Collaborative Research and Development Grants
Multi-Scale Investigation of Thermodiffusion With Implications To Electrochemical Systems
热扩散的多尺度研究及其对电化学系统的影响
  • 批准号:
    RGPIN-2015-04737
  • 财政年份:
    2018
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Multi-Scale Investigation of Thermodiffusion With Implications To Electrochemical Systems
热扩散的多尺度研究及其对电化学系统的影响
  • 批准号:
    RGPIN-2015-04737
  • 财政年份:
    2017
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Multi-Scale Investigation of Thermodiffusion With Implications To Electrochemical Systems
热扩散的多尺度研究及其对电化学系统的影响
  • 批准号:
    RGPIN-2015-04737
  • 财政年份:
    2016
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Development of image classification algorithms for fluid libraries
流体库图像分类算法的开发
  • 批准号:
    503584-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Engage Grants Program
Multi-Scale Investigation of Thermodiffusion With Implications To Electrochemical Systems
热扩散的多尺度研究及其对电化学系统的影响
  • 批准号:
    RGPIN-2015-04737
  • 财政年份:
    2015
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual

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