Work

Application of PSO-LSTM Algorithm to Predict the SOC State of Lithium Batteries

Year: 2024

Type: conference-paper

Source: International Conference on Machine Learning and Computer Application (ICMLCA)

DOI: 10.1109/icmlca63499.2024.10754578

Authors: Shuwei Wang, Jia Li, Zhandong Zhang, Zhe Yan

Institution: Shanxi Datong 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

Funder: Natural Science Basic Research Program of Shaanxi Province

Award: G1703421674

OpenAlex ID: W4404609525

FWCI:

Cites: 5

Cited by:

Related to: 10