State of Health Estimation Methods for Lithium-Ion Batteries
Author:
Affiliation:
1. Institute of Batteries LLC, Kabanbay Batyr Ave 53, S4, 511, Nur-Sultan, Kazakhstan
2. Nazarbayev University, Kabanbay Batyr Ave 53, Nur-Sultan, Kazakhstan
3. National Laboratory Astana, Kabanbay Batyr Ave 53, S2, Nur-Sultan, Kazakhstan
Abstract
Funder
MDDIAI Republic of Kazakhstan
Publisher
Hindawi Limited
Subject
Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment
Link
http://downloads.hindawi.com/journals/ijer/2023/4297545.pdf
Reference114 articles.
1. Remaining useful life estimation of Lithium-ion batteries based on thermal dynamics
2. A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
3. Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data - Part B: Cycling operation
4. Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review
5. State-of-the-art of battery state-of-charge determination
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