Work

State of Health Estimation of Lithium-Ion Batteries Based on KAN Architecture with BiLSTM

Year: 2025

Type: conference-paper

DOI: 10.1109/ieeeconf65522.2025.11137086

Authors: Pengbin Zhou, Duo Yang, Haoran Lv, Yuefeng Liao

Institution: Zhengzhou 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: National Natural Science Foundation of China

Award: G783032531

OpenAlex ID: W4414010222

FWCI:

Cites: 13

Cited by:

Related to: 10