A Deep Reinforcement Learning Framework for Fast Charging of Li-Ion Batteries
IEEE Transactions on Transportation Electrification(2022)
Abstract
One of the most crucial challenges faced by the Li-ion battery community concerns the search for the minimum time charging without damaging the cells. This goal can be achieved by solving a large-scale constrained optimal control problem, which relies on accurate electrochemical models. However, these models are limited by their high computational cost, as well as identifiability and observability...
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Key words
Batteries,Adaptation models,Reinforcement learning,Integrated circuit modeling,Transportation,Computational modeling,Safety
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