Partial Charging-Based Health Feature Extraction and State of Health Estimation of Lithium-Ion Batteries-Reference-Cited by-同舟云学术

Partial Charging-Based Health Feature Extraction and State of Health Estimation of Lithium-Ion Batteries

Published:2023-02 Issue:1 Volume:11 Page:166-174
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:

He Jiangtao¹^ORCID,Meng Shujuan¹^ORCID,Li Xiaoyu²,Yan Fengjun³^ORCID

Affiliation:

1. School of Space and Environment, Beihang University, Beijing, China

2. Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, School of Mechanical Engineering, Hebei University of Technology, Tianjin, China

3. Department of Mechanical Engineering, McMaster University, Hamilton, ON, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/6245517/10035753/09684486.pdf?arnumber=9684486

Reference31 articles.

1. Charging optimization for Li-ion battery in electric vehicles: A review;chen;IEEE Trans Transport Electrific,2021

2. Combining a Fatigue Model and an Incremental Capacity Analysis on a Commercial NMC/Graphite Cell under Constant Current Cycling with and without Calendar Aging

3. Comparative study of curve determination methods for incremental capacity analysis and state of health estimation of lithium-ion battery

4. State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

5. A Novel Model-Based Voltage Construction Method for Robust State-of-Health Estimation of Lithium-Ion Batteries

Cited by 10 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. Review of battery state estimation methods for electric vehicles-Part II: SOH estimation;Journal of Energy Storage;2024-08

2. High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model;Journal of Energy Storage;2024-06

3. End-to-end deep learning powered battery state of health estimation considering multi-neighboring incomplete charging data;Energy;2024-04

4. A novel fractional system grey prediction model with dynamic delay effect for evaluating the state of health of lithium battery;Energy;2024-03

5. Non-Invasive Method-Based Estimation of Battery State-of-Health with Dynamical Response Characteristics of Load Surges;Energies;2024-01-25