Work

Research on the Method of Remaining Useful Life Prediction of Lithium-Ion Battery Based on LSTM

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)

DOI: 10.1109/iceace63551.2024.10898414

Authors: Shenhang Wang, Junjie Wang, Gang Xiang, Ruishi Lin, Yu Peng, Zhiming Yang

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

OpenAlex ID: W4408092397

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