Feature Fusion-Based Inconsistency Evaluation for Battery Pack: Improved Gaussian Mixture Model-Reference-Cited by-同舟云学术

Feature Fusion-Based Inconsistency Evaluation for Battery Pack: Improved Gaussian Mixture Model

Author:

Tian Jiaqiang¹^ORCID,Liu Xinghua²^ORCID,Chen Chaobo³^ORCID,Xiao Gaoxi⁴^ORCID,Wang Yujie⁵^ORCID,Kang Yu⁵^ORCID,Wang Peng⁴^ORCID

Affiliation:

1. School of Electrical Engineering and Automation, Anhui University, Anhui, China

2. School of Electrical Engineering, Xi’an University of Technology, Xi’an, China

3. School of Electronic Information Engineering, Xi’an Technological University, Xi’an, China

4. School of Electrical and Electronic Engineering, Nanyang Technological University, Jurong West, Singapore

5. Department of Automation, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Key Laboratory Project of Shaanxi Provincial Department of Education

High Level Talents Plan of Shaanxi Province for Young Professionals

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference35 articles.

4. K-means++: The advantages of careful seeding;vassilvitskii;Proc Symp Discrete Algorithms,2006

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