Work

Battery life prediction based on LSTM segmented iteration

Year: 2025

Type: conference-paper

Source: International Conference on Physics, Photonics, and Optical Engineering (ICPPOE)

DOI: 10.1117/12.3059929

Authors: lingqi ma, hairong zou

Institution: Shanghai Dianji University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4408226018

FWCI:

Cites: 3

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Related to: 10