Carnegie Mellon University
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Automated Design and Discovery of Liquid Electrolytes for Lithium-Ion Batteries

thesis
posted on 2023-05-03, 21:13 authored by Adarsh R. Dave

The world requires an upgrade in battery performance before the ubiquitous electrification of transportation is feasible. But the novel materials that could unlock safer, more energy-dense batteries are difficult to discover. The battery material design process suffers from too much choice and frequent trade-offs, resulting in decades of research yielding only a handful of winning materials. 

New forms of laboratory automation hold promise for reducing the time and capital spent in research and development. A fully automated experiment can be coupled to a learning model to rapidly iterate on material designs without human involvement - “autonomous experimentation”. This thesis is the first attempt at automating the discovery of functional liquid electrolytes for batteries. Two instances of automated electrolyte experiments are presented - both featuring new hardware and software packaged into functioning test-stands. Three instances of automated optimization of liquid electrolytes for batteries are presented - one in the aqueous design space, and two in the non-aqueous space 

History

Date

2022-09-29

Degree Type

  • Dissertation

Department

  • Mechanical Engineering

Degree Name

  • Doctor of Philosophy (PhD)

Advisor(s)

Venkat Viswanathan and Jay Whitacre

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