Work

SOH probability prediction for lithium-ion batteries based on improved DeepAR

Year: 2024

Type: conference-paper

Source: International Conference on Energy Materials and Electrical Engineering (ICEMEE)

DOI: 10.1117/12.3050231

Authors: Ziyi Liang, Guixue Cheng

Institution: Shanghai University of Electric Power

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Good health and well-being

Open Access status: closed

OpenAlex ID: W4405314263

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