State-of-Charge Estimation for Lithium-Ion Batteries Using Residual Convolutional Neural Networks.

ABSTRACT: State-of-charge (SOC) is a relative quantity that describes the ratio of the remaining capacity to the present maximum available capacity. Accurate SOC estimation is essential for a battery-management system. In addition to informing the user of the expected usage until the next recharge, it is crucial for improving the utilization efficiency and service life of the battery. This study focuses on applying deep-learning techniques, and specifically convolutional residual networks, to estimate the SOC of lithium-ion batteries. By stacking the values of multiple measurable variables taken at many time instants as the model inputs, the process information for the voltage or current generation, and their interrelations, can be effectively extracted using the proposed convolutional residual bloc

SUBMITTER: Wang YC 

PROVIDER: S-EPMC9414385 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature