A Hybrid Battery Equivalent Circuit Model, Deep Learning, and Transfer Learning for Battery State Monitoring-Reference-Cited by-同舟云学术

A Hybrid Battery Equivalent Circuit Model, Deep Learning, and Transfer Learning for Battery State Monitoring

Published:2023-03 Issue:1 Volume:9 Page:1113-1127
ISSN:2332-7782
Container-title:IEEE Transactions on Transportation Electrification
language:
Short-container-title:IEEE Trans. Transp. Electrific.

Author:

Su Shaosen¹,Li Wei²^ORCID,Mou Jianhui³,Garg Akhil¹^ORCID,Gao Liang¹^ORCID,Liu Jie⁴

Affiliation:

1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

2. College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China

3. College of Mechanical and Electrical Automotive Engineering, Yantai University, Yantai, China

4. Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6687316/10050348/09878356.pdf?arnumber=9878356

Reference43 articles.

1. Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles

2. Model selection in omnivariate decision trees using structural risk minimization;yildiz;Inf Sci,2011

3. Remaining Useful Life Prediction of Lithium-Ion Battery Via a Sequence Decomposition and Deep Learning Integrated Approach

4. A survey on transfer learning;panigrahi;IEEE Trans Knowl Data Eng,2010

5. State of health assessment for echelon utilization batteries based on deep neural network learning with error correction

Cited by 48 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SOH estimation of lithium-ion batteries based on multi-feature deep fusion and XGBoost;Energy;2024-10

2. Online state of health estimation for Li-ion batteries in EVs through a data-fusion-model method;Journal of Energy Storage;2024-10

3. An optimized multi-segment long short-term memory network strategy for power lithium-ion battery state of charge estimation adaptive wide temperatures;Energy;2024-09

4. Review of battery state estimation methods for electric vehicles-Part II: SOH estimation;Journal of Energy Storage;2024-08

5. State of health estimation method based on real data of electric vehicles using federated learning;International Journal of Electrochemical Science;2024-08