Work

Battery Management System for Edge Devices: Battery RUL Prediction and Charging Optimization Based on Incremental Learning and SAC-PSO

Year: 2025

Type: article

Source: IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/tim.2025.3561433

Authors: Zhengye Shen, Mingyue Wang, Zhihao Dai, Qintao Xu, Zengwang Yang

Institution: Jiangsu Normal 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

Awards: G7607811518, G8277326910

OpenAlex ID: W4409494462

FWCI: 0.993

Cites: 22

Cited by: 4

Related to: 10