Closed-loop optimization of fast-charging protocols for batteries with machine learning
Published in
5 min readMar 12, 2021
This post is a review of “Closed-loop optimization of fast-charging protocols for batteries with machine learning” (2019) by Attia, Grover, Jin, Severson, Markov, Liao, Chen, Cheong, Perkins, Yang, Herring, Aykol, Harris, Braatz, Ermon, and Chueh.
Closed-loop optimisation (CLO) helps to find an optimal fast-charging protocol quickly, assuming only a limited number of experiments can run in parallel. The two pillars of CLO are the early outcome predictor and Bayesian optimization:
