Electrochemical-Theory-Guided Modeling of the Conditional Generative Adversarial Network for Battery Calendar Aging Forecast-Reference-Cited by-同舟云学术

Electrochemical-Theory-Guided Modeling of the Conditional Generative Adversarial Network for Battery Calendar Aging Forecast

Published:2023-02 Issue:1 Volume:11 Page:67-77
ISSN:2168-6777
Container-title:IEEE Journal of Emerging and Selected Topics in Power Electronics
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Power Electron.

Author:

Hu Tianyu¹^ORCID,Ma Huimin¹^ORCID,Sun Hongbin²^ORCID,Liu Kailong³

Affiliation:

1. School of Computer and Communication Engineering, University of Science and Technology at Beijing, Beijing, China

2. Department of Electrical Engineering, State Key Laboratory of Power Systems, Tsinghua University, Beijing, China

3. Warwick Manufacturing Group (WMG), The University of Warwick, Coventry, U.K.

Funder

National Natural Science Foundation of China

High Value Manufacturing Catapult Project

Fellowship of China Postdoctoral Science Foundation

Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

Reference37 articles.

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