A Model-Based Battery Dataset Recovery Method Considering Cell Aging in Real-World Electric Vehicles-Reference-Cited by-同舟云学术

A Model-Based Battery Dataset Recovery Method Considering Cell Aging in Real-World Electric Vehicles

Published:2024-05 Issue:5 Volume:20 Page:7904-7914
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Gao Yizhao¹^ORCID,Zhu Jingzhe²^ORCID,Shi Dapai¹^ORCID,Zhang Xi²^ORCID

Affiliation:

1. Hubei Longzhong Laboratory, Hubei University of Arts and Science, Xiangyang, China

2. National Engineering Research Center of Automotive Power and Intelligent Control, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Independent Innovation Projects of the Hubei Longzhong Laboratory, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10521545/10457529.pdf?arnumber=10457529

Reference47 articles.

1. Health Diagnosis for Lithium-Ion Battery by Combining Partial Incremental Capacity and Deep Belief Network During Insufficient Discharge Profile

2. Co-Estimation of State-of-Charge and State-of- Health for Lithium-Ion Batteries Using an Enhanced Electrochemical Model

3. Adaptive Ensemble-Based Electrochemical–Thermal Degradation State Estimation of Lithium-Ion Batteries

4. Cloud-based in-situ battery life prediction and classification using machine learning

5. Usage pattern analysis of Beijing private electric vehicles based on real-world data

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