According to foreign media reports, Fujitsu Limited and the Japanese Institute of Physical Chemistry announced the latest lithium battery R&D technology. Both will apply first-principles calculations (quantum mechanics) and artificial intelligence AI techniques to evaluate the development of new solid-state electrolyte materials for lithium-ion batteries. They can also be used to try more materials when data and data are incomplete. Combine and get actual verification. At the same time, with the support of artificial intelligence technology, the development speed of lithium battery materials will be greatly improved. This will be a good news for the current slow-moving battery technology field.
Huge potential for artificial intelligence in lithium battery technology development
In the development of traditional lithium battery materials, relying on the long-term accumulated experience and keen intuition of researchers, when trying new material synthesis, the dependence on data is also high. The first-principles calculations will be based on the characteristics (wave function characteristics) that can be predicted by quantum mechanics. The best combination pattern of new materials can be perceived before the experiment, which greatly reduces the number of experimental failures. However, at the same time, the load of the first-principles calculations is huge, and various compositions of materials require multiple calculations, which will take a long time for research and development.
Therefore, the research team introduced artificial intelligence AI technology to make it possible to control the number of calculations for the first-principles calculations, and more directivity predictions were made for three lithium-containing oxo-synthetic compounds of lithium-ion battery solid-state electrolytes. The results confirmed that this method can predict the best material combination of high lithium ion conductivity in a shorter time. At the same time, it is also able to find a more efficient high lithium ion conductivity during the prediction process.
Lithium ion conductivity is one of the most important characteristics of solid electrolytes. The results of this study have verified that the use of material simulation and artificial intelligence methods can efficiently develop liquid-leakage and fire-free lithium-ion batteries, and allow the electrolysis of lithium batteries. The liquid activity efficiency is higher, and there is great potential in the battery application market in the future.
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