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MIT team develops data-driven safety envelope for lithium-ion batteries for EVs

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Researchers at MIT, with a colleague from Tsinghua University, have developed a safety envelope for Li-ion batteries in electric vehicles by using a high accuracy finite element model of a pouch cell to produce more than 2,500 simulations and subsequently analyzing the data with Machine Learning (ML) algorithms. —Li et al.

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MIT researchers develop optimized sulfidation separation process for rare earth and other key metals

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New processing methods developed by MIT researchers could help ease looming shortages of the essential metals that power everything from phones to automotive batteries by making it easier to separate these rare metals from mining ores and recycled materials. A paper on their work is published in the journal Nature. —Caspar Stinn.

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Remembering Lithium-Ion Battery Pioneer John Goodenough

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Goodenough , one of the inventors of the lithium-ion battery, died on 25 June at age 100. Goodenough, a professor of electrical and computer engineering at the University of Texas at Austin , authored more than 800 technical papers during his career. His first was lithium cobalt oxide. Nobel Laureate John B.

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MIT: hybrid cathodes could boost energy capacity of lithium-sulfur batteries

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Researchers at MIT and in China are proposing a new class of dense intercalation-conversion hybrid cathodes by combining intercalation-type Mo 6 S 8 with conversion-type sulfur (HMSC) to realize a Li–S full cell. Typical sulfur cathodes are made up of 20 to 30 percent carbon, he says, but the new version needs only 10 percent carbon.

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SLAC, MIT, TRI researchers advance machine learning to accelerate battery development; insights on fast-charging

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Instead of using machine learning just to speed up scientific analysis by looking for patterns in data—as typically done—the researchers combined it with knowledge gained from experiments and equations guided by physics to discover and explain a process that shortens the lifetimes of fast-charging lithium-ion batteries.

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MIT, Stanford and Toyota Research Institute use AI to predict accurately the useful life of batteries

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Scientists at the Massachusetts Institute of Technology (MIT), Stanford University and the Toyota Research Institute (TRI) have discovered that combining comprehensive experimental data and artificial intelligence provide the key for accurately predicting the useful life of lithium-ion batteries before their capacities started to wane.

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Study finds rapid charging and draining doesn’t damage lithium-ion electrode as much as thought

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A new study has found that rapid-charging a lithium-ion battery and using it to do high-power, rapidly draining work may not be as damaging as researchers had thought, and that the benefits of slow draining and charging may have been overestimated. (SLAC National Accelerator Laboratory) Click to enlarge. —Yiyang Li, lead author.