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Li-Batt Design App

For lithium-metal pouch cell design

PNNL’s Li-Batt Design App is a first-of-its-kind software to help battery developers and researchers easily and rapidly design lithium-metal-based pouch cells. Li-Batt Design App applies a vast and complex array of available materials and parameters. Using machine learning algorithms, the software calculates optimal cell configurations, saving businesses and research institutions time and money.

Key features and benefits of Li-Batt Design App include:

  • Automatically provides a range of optimal lithium-metal-battery pouch-cell designs for rapid prototyping or cell development
  • Cell dimensions can be easily adjusted based on the user’s needs
  • Simple and friendly user interface
    • Clearly labeled input fields
    • Easy-to-interpret, graphics-based output
  • Detailed cell-design parameters for fabrication can be exported to a spreadsheet using one click

The Li-Batt Design App helps researchers quickly obtain all the possible design parameter combinations, including those for different cathode materials and pouch cell dimensions, to achieve a desired energy density.

PNNL battery experts gathered enough experimental data on high energy lithium metal batteries to ‘train’ the machine learning engine that runs the software. The trained software quickly provides designs and outputs for cell energy and capacity.

Design software now available for researchers and industry

Battery researchers in academia, small businesses, and industry can now purchase a license to use the software from PNNL. To learn more about the technology, get pricing, and purchase the software, contact Allan Tuan, PNNL commercialization manager. For technical information or to collaborate, contact Jie Xiao.

Graphical user interface for battery application
One of the graphical user interface pages in the Li-Batt Design App

Building better lithium-metal batteries

Through a simple, flexible interface the user can custom design a lithium metal battery based on available cathodes and cell accessories in the market. The user can also input a new cathode material with voltage and capacity information to generate mathematical solutions based on design parameters.  

A faster track to lithium-metal batteries

Researchers across the world are focused on developing lithium metal batteries because of their high energy density, providing the opportunity to double the energy storage of lithium ion batteries that power our cell phones and electric vehicles today. Li-Batt Design App can help advance research for this promising new approach to batteries.

When it comes to energy storage research, PNNL’s goals are to innovate, validate, accelerate, and collaborate. Li-Batt Design App embraces each of those goals to support advanced battery development through machine learning.

Software operating requirements

Operating systems

Processors

Graphics

Windows

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016

Mac

  • macOS Catalina (10.15)
  • macOS Mojave (10.14)
  • macOS High Sierra (10.13.6)

Minimum:

Any Intel or AMD x86-64 processor

Recommended:

  • Windows: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
  • macOS: Any Intel x86-64 processor with four logical cores and AVX2 instruction set support

    Minimum:

    • Resolution: No minimum screen resolution is required
    • Graphics Card: No specific graphics card is required

    Recommended:

    • Resolution: Resolution greater than or equal to 1280 x 800 will allow the full window to be displayed on the screen
    • Graphics Card: Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory

    Disk

    RAM

     

    Minimum: 5.6 GB of HDD space for a typical installation

    Recommended: An SSD is recommended

    Minimum: 4 GB

    Recommended: 8 GB

     

     

    Citation: Jie Xiao, Yang Yang, Dianying Liu, and Zhiqun D Deng, Li-Batt Design App, Pacific Northwest National Laboratory, Richland, WA, USA

    Research topics

    Energy Storage

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