Cross-Domain Prognostic Method of Lithium-Ion Battery in New Energy Electric Aircraft With Domain Adaptation-Reference-Cited by-同舟云学术

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Cross-Domain Prognostic Method of Lithium-Ion Battery in New Energy Electric Aircraft With Domain Adaptation

Published:2023-07-01 Issue:13 Volume:23 Page:14487-14498
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhu Yafei¹,Li Xiang²^ORCID,Zhang Yewei³,Zhang Wei³^ORCID

Affiliation:

1. International Engineering College, Shenyang Aerospace University, Shenyang, China

2. Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, China

3. School of Aerospace Engineering, Shenyang Aerospace University, Shenyang, China

Funder

National Natural Science Foundation of China

Department of Science and Technology of Liaoning Province

Fellowship of China Postdoctoral Science Foundation

Educational Department of Liaoning Province

Hunan Provincial Science and Technology Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10168680/10130743.pdf?arnumber=10130743

Reference44 articles.

1. A Novel State-of-Health Estimation for Lithium-Ion Battery via Unscented Kalman Filter and Improved Unscented Particle Filter

2. Parameter identification of an electrochemical lithium-ion battery model with convolutional neural network

3. A method for state of charge and state of health estimation of lithium-ion battery based on adaptive unscented Kalman filter

4. Deep features based convolutional neural network model for text and non-text region segmentation from document images

5. Deep learning-based image recognition method for on-demand defrosting control to save energy in commercial energy systems

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1. A general multi-source ensemble transfer learning framework for health prognostic of lithium-ion batteries;Applied Energy;2024-12

2. Dynamic characteristics and vibration control of composite laminate wall panels in electric aircraft using NiTi shape memory alloys;Aerospace Science and Technology;2024-12

3. Method for Evaluating Degradation of Battery Capacity Based on Partial Charging Segments for Multi-Type Batteries;Batteries;2024-05-30

4. A hybrid remaining useful life prediction method for lithium-ion batteries based on transfer learning with CDRSN-BiGRU-AM;Measurement Science and Technology;2024-02-26

5. A Correlation-Augmented Informer-Based Method for State-of-Health Estimation of Li-Ion Batteries;IEEE Sensors Journal;2024-02-01

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