Work

LSTM with AhI-Model Based Kalman Filter for Lithium-ion Battery State of Charge Estimation

Year: 2024

Type: conference-paper

Source: China Automation Congress (CAC)

DOI: 10.1109/cac63892.2024.10865434

Authors: Xiangyong Luo, Lujuan Dang, Meng Yang, Badong Chen

Institution: Xi'an Jiaotong 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

Funders: Xi’an Jiaotong University, China Postdoctoral Science Foundation, National Key Research and Development Program of China

Awards: G4317455285, G6627791606, G6769249393

OpenAlex ID: W4407466295

FWCI:

Cites: 18

Cited by:

Related to: 10