Battery development is typically a slow and laborious process, with extensive testing and retesting. Measuring how long a battery will last, for example, can involve charging and discharging thousands of times. Using AI, developers can cut down the time and expense of battery design by iterating faster and more efficiently. One early-prediction model helped reduce the time it took to identify fast-charging techniques from over 500 days to 16 days, in part by predicting the final cycle life using data from the first few cycles, according to a 2020 Nature study.
