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AI In Making Of EV Batteries: As interest in AI surges, so too has scrutiny of the technology's energy intensity and its corresponding burden on data centres and power grids.
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.
Managing editor Alexis Mizell-Pleasant asks industry experts about various topics developing in the supply chain field. Earth Day is around the corner and acts as a catalyst for change, teeing up sustainability for the coming year.
Several experts told BI they are watching how artificial intelligence is transforming climate action and the rapid adoption of renewable energy.
From steel to cement, AI could provide rapid solutions to cut carbon emissions and climate messes, according to a forthcoming report.