Short-Term Capacity Estimation and Long-Term Remaining Useful Life Prediction of Lithium-Ion Batteries Based on a Data-Driven Method-Reference-Cited by-同舟云学术

Short-Term Capacity Estimation and Long-Term Remaining Useful Life Prediction of Lithium-Ion Batteries Based on a Data-Driven Method

Published:2022-12 Issue:6 Volume:148 Page:
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Xia Fei¹^ORCID,Chen Xiang²,Chen Jiajun³

Affiliation:

1. Associate Professor, College of Automation Engineering, Shanghai Univ. of Electric Power, Shanghai 200090, China. ORCID:

2. Graduate Student, College of Automation Engineering, Shanghai Univ. of Electric Power, Shanghai 200090, China.

3. Chief Technology Officer, Pegasus Power Energy Co., Ltd., Hangzhou, Zhejiang 310019, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EY.1943-7897.0000865

Reference37 articles.

1. Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime prediction

2. Quantum assimilation-based state-of-health assessment and remaining useful life estimation for electronic systems;Cui Y.;IEEE Trans. Ind. Electron.,2016

3. Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell

4. Identify capacity fading mechanism in a commercial LiFePO4 cell

5. Life prediction and reliability assessment of lithium secondary batteries

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