New machine learning method accurately predicts battery state of health

Electrical batteries are increasingly crucial in a variety of applications, from integration of intermittent energy sources with demand, to unlocking carbon-free power for the transportation sector through electric vehicles (EVs), trains and ships, to a host of advanced electronics and robotic applications.

from Energy & Green Tech News - Energy Sciences News, Green Tech, Energy, Energy Science https://ift.tt/3wKlBRs
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