A Transient, Multi-Scale, Open-Source Software for the Numerical Simulation of Electrochemical Energy Systems

用于电化学能源系统数值模拟的瞬态、多尺度、开源软件

• 批准号: 543579-2019
• 负责人: SecanellGallart, Marc
• 金额: $ 4.88万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=699650
• 关键词: Transient; Multi; Scale; Open; Source

Electrochemical energy systems, such as lithium ion batteries and polymer electrolyte fuel cells, are anticipated to lower vehicle well-to-wheel energy consumption and reduce their emission of green house gases and other air pollutants. Battery and fuel cell electric vehicles already have many of the performance attributes that customers expect, however they are still too costly to enable widespread commercialization. In order to reduce their cost, the amount of scarce metals, such as cobalt in lithium ion cathodes and platinum in fuel cells, needs to be reduced. In the case of lithium ion batteries, this can be accomplished by improving the performance and tolerance to low and high temperatures of cathode materials, such as LiFePO4, that do not use cobalt. In the case of fuel cells, the amount of platinum can be reduced by enabling the operation of fuel cells at high current densities (e.g., above 2.5 A/cm2) so that the electrical power produced per gram of catalyst is increased. To achieve these goals, however, a major re-design of the electrode in lithium ion battery and fuel cells is needed. Numerical models are required in order to understand the physical processes occurring inside battery and fuel cell electrodes and improve their design. Over the past decade, the principal investigator has developed an open-source numerical simulation framework for the analysis of fuel cells, namely the fuel cell simulation toolbox (OpenFCST). The framework already incorporates much of the functionality required to simulate fuel cell operation, however, it currently does not have any time-dependent capabilities preventing the software from studying water accumulation in fuel cells and battery charge-discharge. The proposed research aims at extending the capabilities of the software to study time-dependent phenomena. Novel features will be: a) the integration of micro-scale and full cell simulations in a single simulation framework; and, b) the use of particle size and pore size distribution models for batteries and fuel cells, respectively. The mathematical models developed in this research will be used by Johnson Matthey in order to develop their new generation lithium ion battery and fuel cell electrodes, and contribute to training four highly qualified personnel.

电化学能源系统（例如锂离子电池和聚合物电解质燃料电池）预计将降低车辆井的途径能量消耗，并减少其温室气体和其他空气污染物的排放。电池和燃料电池电动汽车已经具有客户期望的许多性能属性，但是它们仍然太昂贵了，无法实现广泛的商业化。为了降低成本，需要减少稀缺金属的量，例如锂离子阴极中的钴和铂金的钴。就锂离子电池而言，这可以通过提高不使用钴的阴极材料（例如LifePo4）的低温和高温材料的低温和高温耐受性来实现。在燃料电池的情况下，可以通过在高电流密度下启用燃料电池的运行（例如，高于2.5 a/cm2）来减少铂的量，从而增加每克催化剂产生的电力。但是，为了实现这些目标，需要在锂离子电池和燃料电池中重新设计电极。 为了了解电池和燃料电池电极内部发生的物理过程并改善其设计，需要数值模型。在过去的十年中，主要研究人员开发了一个开源数值模拟框架来分析燃料电池，即燃料电池模拟工具箱（OpenFCST）。该框架已经结合了模拟燃料电池运行所需的许多功能，但是，它目前没有任何时间依赖于时间的功能，从而阻止该软件研究燃料电池中的水积聚和电池充电量。拟议的研究旨在扩大软件研究时间依赖性现象的能力。新颖的特征将是：a）单个模拟框架中微尺度和完整细胞模拟的集成； b）分别用于电池和燃料电池的粒径和孔径分布模型。约翰逊·马特西（Johnson Matthey）将使用这项研究中开发的数学模型，以开发其新一代锂离子电池和燃料电池电极，并有助于培训四名高素质的人员。