KiKi0016 / State-of-Health-Estimation-of-Electric-Vehicle-Batteries-Using-DeTransformer

Deep learning of lithium-ion battery SOH using the DeTransformer model learns the aging characteristics of the battery and then makes predictions about the battery SOH in order to monitor the health of batteries in electric vehicles.

Date Created 2023-12-21 (about a year ago)

Commits 48 (last one 10 months ago)

Stargazers 29 (0 this week)

Watchers 1 (0 this week)

Forks 2

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RepositoryStats indexes 595,856 repositories, of these KiKi0016/State-of-Health-Estimation-of-Electric-Vehicle-Batteries-Using-DeTransformer is ranked #574,441 (4th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #114,361/119,431.

KiKi0016/State-of-Health-Estimation-of-Electric-Vehicle-Batteries-Using-DeTransformer is also tagged with popular topics, for these it's ranked: deep-learning (#8,360/8512), transformer (#991/1018)

Other Information

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All Topics

prediction transformer deep-learning soh-estimation lithium-ion-batteries remaining-useful-life-prediction

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48 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-07 @ 01:27am, id: 734500455 / R_kgDOK8eWZw