Work

State of Charge Estimation for Liquid Metal Batteries with Gaussian Process Regression Framework

Year: 2022

Type: conference-paper

Source: International Power Electronics Conference (IPEC)

DOI: 10.23919/ipec-himeji2022-ecce53331.2022.9807007

Authors: Sheng Wang, Zehang Li, E Zhang, Min Zhou, Kangli Wang

Institution: Huazhong University of Science and Technology

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

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G5279909201, G6575760688

OpenAlex ID: W4283762437

FWCI: 2.051

Cites: 10

Cited by: 9

Related to: 10