Making a battery better with AI
- Admin
- Dec 2, 2019
- 1 min read
Nov. 30, 2019
With the AI technology improving, the researchers and tech. companies have been working on building a better battery with AI.
According to the researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory, they have turned to the power of machine learning and artificial intelligence to dramatically accelerate the process of battery discovery by using a computationally intensive model called G4MP2. G4MP2 resolves each of the 166 billion molecules, so the research team used a machine-learning algorithm to relate the precisely known structures from the smaller data set to much more coarsely modelled structures from the larger data set.
“When it comes to determining how these molecules work, there are big tradeoffs between accuracy and the time it takes to compute a result,” said Ian Foster, Argonne Data Science and Learning division director and author of one of the papers.
Not only DOE working on making a battery with AI technology, Exro Technologies Inc., the company that is pioneering and commercializing this technology, states that it is “revolutionizing energy conversion to improve performance, efficiency and longevity in electric motors, batteries and generators.”
Exro’s technology applies the principle of managing energy as it converts at the individual level to lithium ion batteries, by managing the charge and discharge of energy at the individual cell level of the battery. Using battery data, blending advanced electronics and adds a layer of intelligence, they predict and exceptionally improve the life of lithium-ion batteries.
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