Work

Cloud-edge collaborative state of charge estimation for lithium-ion batteries based on hybrid deep learning and adaptive unscented Kalman filter

Year: 2026

Type: article

Source: Journal of Energy Storage

DOI: 10.1016/j.est.2026.123541

Authors: Yukang Yang, Fengjin Cao, Yong Shen, Dong Liu, Yaoting He, Yu Deng, Keyi Zou, Sixian Wang, Weiyu Cai

Institutions: State Key Laboratory of Metal Mine Safety Technology, Xinjiang University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: Science and Technology Development Fund, National Major Science and Technology Projects of China

Awards: G2714444742, G7267498330

OpenAlex ID: W7167687983

FWCI:

Cites: 36

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