Work

Fast screening of lithium-ion batteries for second use with pack-level testing and machine learning

Year: 2023

Type: article

Source: eTransportation

DOI: 10.1016/j.etran.2023.100255

Authors: Sijia Yang, Caiping Zhang, Jiuchun Jiang, Weige Zhang, Haoze Chen, Yan Jiang, Dirk Uwe Sauer, Weihan Li

Institutions: Beijing Jiaotong University, RWTH Aachen University, Hubei University of Technology, Forschungszentrum Jülich, Helmholtz-Institute Münster, Jülich Aachen Research Alliance

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Responsible consumption and production

Open Access status: green

Funders: National Natural Science Foundation of China, Bundesministerium für Bildung und Forschung, Natural Science Foundation of Beijing Municipality, Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie, National Outstanding Youth Science Fund Project of National Natural Science Foundation of China

Awards: G1846834606, G2439179775, G3596013893, G7294961518, G742997857

OpenAlex ID: W4377697250

FWCI: 3.041

Cites: 44

Cited by: 42

Related to: 10