State of health estimation of cycle aged large format lithium-ion cells based on partial charging
| Autor: | Samppa Jenu, Ari Hentunen, Jari Haavisto, Mikko Pihlatie |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Renewable Energy
Sustainability and the Environment 020209 energy Energy Engineering and Power Technology Cycle ageing 02 engineering and technology Incremental capacity analysis 021001 nanoscience & nanotechnology 7. Clean energy State of health Capacity fade Integrated voltage 0202 electrical engineering electronic engineering information engineering Li-ion battery SDG 7 - Affordable and Clean Energy Electrical and Electronic Engineering 0210 nano-technology |
| Zdroj: | Jenu, S, Hentunen, A, Haavisto, J & Pihlatie, M 2022, ' State of health estimation of cycle aged large format lithium-ion cells based on partial charging ', Journal of Energy Storage, vol. 46, 103855 . https://doi.org/10.1016/j.est.2021.103855 |
| DOI: | 10.1016/j.est.2021.103855 |
| Popis: | Incremental capacity analysis (ICA) is a widely used method for assessing Li-ion battery state of health (SOH). The ICA method is typically applied to low C-rate charging or discharging, which is seldom feasible in online SOH estimation in real applications. In this paper the applicability of the ICA method to higher C-rates is investigated with C/3, 1C and 2C charging data from cycle aged large format commercial LiFePO4/graphite cells, LiNiMnCoO2/graphite cells, and cells with Li2TiO3 anode. Alongside the ICA method, a less studied integrated voltage (IV) method is investigated with the same data set. The results show that both the ICA method and the IV method can be used for battery SOH estimation utilizing partial charging data. The results for the ICA method indicate an accuracy of 0.9–2.1% (RMSE) with C/3 charging for all studied cells, and corresponding accuracy also for some of the cell types studied with 1C and 2C charging currents. The accuracy of the IV method does not suffer from increasing charging current as heavily as the accuracy of the ICA method, and the SOH estimation error remains below 2.0% (RMSE) with all studied cell types up to 2C charging. |
| Databáze: | OpenAIRE |
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