Work

Multidimensional Consistency Diagnosis of Power Batteries Based on Optimized Modal Decomposition and Unsupervised Learning

Year: 2026

Type: article

Source: Energy & Fuels

DOI: 10.1021/acs.energyfuels.6c00308

Authors: Meng Li, Jichao Hong, Yanhua Shen, Litao Zhou, Fei Ma, Xing He, Lei Zhang, Jiaqi Pei, Yasheng Deng, Shangren Xie, Jiahao Wei, Lingjun Wei

Institutions: Dalian Institute of Chemical Physics, Chinese Academy of Sciences, State Key Laboratory of Catalysis, University of Science and Technology Beijing, State Administration for Market Regulation, Shandong University of Technology, Beijing Vocational College of Transportation

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: Beijing Nova Program, Fundamental Research Funds for the Central Universities, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1359941976, G220950279, G2504315156, G5757474368

OpenAlex ID: W7140125638

FWCI: 2.021

Cites: 36

Cited by: 1

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