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Abstract
Different state-of-health (SOH) estimation methods for Lithiumion batteries have been proposed in the literature. Even though these methods are showing good accuracy, they are developed for optimal laboratory conditions and do not consider various limitations, which are encountered in real-life applications. Therefore, in this paper, we proposed an alternative method for SOH estimation of NMC-based Li-ion batteries considering a reduced voltage interval for which the capacity fade is determined.For validation of the proposed SOH method, six different calendar aging cases have been considered.
| Original language | English |
|---|---|
| Journal | ECS Transactions |
| Volume | 85 |
| Issue number | 13 |
| Pages (from-to) | 379-386 |
| Number of pages | 8 |
| ISSN | 1938-6737 |
| DOIs | |
| Publication status | Published - 2018 |
| Event | 233rd ECS Meeting - Seattle, United States Duration: 13 May 2018 → 17 May 2018 |
Conference
| Conference | 233rd ECS Meeting |
|---|---|
| Country/Territory | United States |
| City | Seattle |
| Period | 13/05/2018 → 17/05/2018 |
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Dive into the research topics of 'State-of-Health Estimation of Lithium-Ion Batteries based on Partial Charging Voltage Profiles'. Together they form a unique fingerprint.Projects
- 1 Finished
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Batnostic: adaptive BATtery diagNOSTIC tools for lifetime assessment of EV batteries
01/01/2016 → 31/12/2018
Project: Research