Remaining discharge energy estimation of lithium-ion batteries based on average working condition prediction and multi-parameter updating-Reference-Cited by-同舟云学术

Remaining discharge energy estimation of lithium-ion batteries based on average working condition prediction and multi-parameter updating

Published:2023-09-16 Issue:1 Volume:28 Page:229-242
ISSN:1432-8488
Container-title:Journal of Solid State Electrochemistry
language:en
Short-container-title:J Solid State Electrochem

Author:

Lai Xin^ORCID,Weng Jiahui,Yang Yipeng,Qiu Changqing,Huang Yunfeng,Yuan Ming,Yao Yi,Zheng Yuejiu

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Electrochemistry,Condensed Matter Physics,General Materials Science,Energy Engineering and Power Technology,Materials Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s10008-023-05683-8.pdf

Reference39 articles.

1. Zhang H, Zhang J (2021) An overview of modification strategies to improve LiNi0·8Co0·1Mn0·1O2 (NCM811) cathode performance for automotive lithium-ion batteries. eTransportation 7

2. Lai X, Chen Q, Tang X, Zhou Y, Gao F, Guo Y et al (2022) Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: a lifespan perspective. eTransportation 12

3. Chen Q, Lai X, Gu H, Tang X, Gao F, Han X et al (2022) Investigating carbon footprint and carbon reduction potential using a cradle-to-cradle LCA approach on lithium-ion batteries for electric vehicles in China. J Clean Prod 369

4. Burns C, Kassam A, Sinha NN, Downie L, Solnickova L, Way B et al (2013) Predicting and extending the lifetime of Li-ion cells. Conference Predicting and Extending the Lifetime of Li-Ion Cells. IOP Publishing p. 1211

5. Liu T, Yang X-G, Ge S, Leng Y, Wang C-Y (2021) Ultrafast charging of energy-dense lithium-ion batteries for urban air mobility. eTransportation 7