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Battery Data Analysis

Fall 2021, Fall 2022

University of Michigan

Sponsors and Affiliates:

  • Undergraduate Research Opportunity Program (UROP)
  • Michigan Research and Discovery Scholars (MRADS)
  • Research, Innovation, Service and Entrepreneurship (RISE) Program

Goals

  1. Contribute to the frontiers of battery research
  2. Pick up practical analysis and programming skills
  3. Learn how batteries work

Research

  • You pick what project you want to work on
  • Theme: methods for battery lifetime modeling, estimation, and prediction
  • Theme: data-driven analysis and modeling of battery behavior
  • End goal: technical reports, presentations, and journal publications

Programming

  • Version control and project management in GitHub
  • Python for data analysis and batery modeling (PyBAMM)
  • Developing sound programming best practices to produce high-quality code

Batteries

  • Working principles of battery operation
  • Basic materials science and electrochemistry of batteries
  • How batteries are modeled from a systems perspective

Format

  • Weekly group check-ins

    • Report on work progress since last week
    • Discuss open questions, concerns, difficulties
    • Assign next steps for next week
  • Work product

    • Share your work by creating Pull Requests in the repository
  • Keep in touch via Slack

  • How this semester will go:

    • For the first two weeks: get oriented with tools and project scope
    • Remaining time: commit to a specific project, goals, and finish it
    • Drop by Autolab 2032 during work hours if you want a dedicated space to focus
      • Doors are unlocked as long as at least one of us is there
    • I will host 'Office Hours' for 1 hour per week per student

Datasets

Fast formation dataset

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