Scientists describe a technology combining robotics and artificial intelligence (AI), which can screen the best formula of non-aqueous liquid electrolyte solution for lithium ion batteries. This research may help accelerate the development of rechargeable batteries with better functions, such as faster charging speed and longer service life. The relevant research was recently published in Nature Communication.
The development of high-performance battery technology is particularly important for promoting the electrification of transportation and aviation industries. The traditional technology of developing lithium-ion battery components needs to experiment on the possible material selection, which is very time-consuming, and sometimes the research and development process takes several years. Someone has proposed a method to speed up this process - using AI and robot technology to find the optimal battery composition.
Venkat Viswanathan, Jay Whitacre and colleagues from Carnegie Mellon University in the United States designed a robot platform called Clio and combined it with an AI called "Dragonfly". Using these tools, they proved that the system can independently screen the electrolyte formula of high conductivity non-aqueous lithium-ion battery in two working days.
Researchers pointed out that the speed of finding electrolyte by this method is 6 times faster than that of random screening. They tested the electrolyte solution in commercial lithium-ion soft pack batteries, and demonstrated its fast charging battery performance with the traditional electrolyte component as the baseline experiment.
The author said that the research is conducive to the research and development of high-performance rechargeable batteries, and is of great significance for a wider range of energy applications and material science
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