Semantic Scholar Open Access 2022 145 sitasi

A review of the recent progress in battery informatics

Chen Ling

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Abstrak

Batteries are of paramount importance for the energy storage, consumption, and transportation in the current and future society. Recently machine learning (ML) has demonstrated success for improving lithium-ion technologies and beyond. This in-depth review aims to provide state-of-art achievements in the interdisciplinary field of ML and battery research and engineering, the battery informatics. We highlight a crucial hurdle in battery informatics, the availability of battery data, and explain the mitigation of the data scarcity challenge with a detailed review of recent achievements. This review is concluded with a perspective in this new but exciting field.

Penulis (1)

Chen Ling

Format Sitasi

APA MLA BibTeX

Ling, C. (2022). A review of the recent progress in battery informatics. https://doi.org/10.1038/s41524-022-00713-x

Akses Cepat

Lihat di Sumber doi.org/10.1038/s41524-022-00713-x

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Total Sitasi: 145×
Sumber Database: Semantic Scholar
DOI: 10.1038/s41524-022-00713-x
Akses: Open Access ✓