Incremental Capacity Analysis Applied on Electric Vehicles for Battery State-of-Health Estimation
| Autor: | Kjeld Nørregaard, Lasse Stenhoj Ingvardsen, Erik Schaltz, Daniel-Ioan Stroe, Andreas Elkjær Christensen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Battery (electricity)
business.product_category incremental capacity analysis (ICA) State of health estimation estimation State of health Computer science 020208 electrical & electronic engineering 02 engineering and technology lithium-ion battery Cellular level 021001 nanoscience & nanotechnology Industrial and Manufacturing Engineering Lithium-ion battery Automotive engineering Control and Systems Engineering Electric vehicle Lithium manganese oxide 0202 electrical engineering electronic engineering information engineering state-of-health (SoH) Electric vehicle (EV) Electrical and Electronic Engineering 0210 nano-technology business |
| Zdroj: | Schaltz, E, Stroe, D-I, Nørregaard, K, Stenhøj Kofod, L & Christensen, A 2021, ' Incremental Capacity Analysis Applied on Electric Vehicles for Battery State-of-Health Estimation ', I E E E Transactions on Industry Applications, vol. 57, no. 2, 9328130, pp. 1810-1817 . https://doi.org/10.1109/TIA.2021.3052454 |
| DOI: | 10.1109/TIA.2021.3052454 |
| Popis: | The state of health (SoH) of electric vehicle (EV) batteries is important for the EV owner and potential buyer of second hand EVs. The incremental capacity analysis (ICA) has by several researchers proven to be a promising SoH estimation method for lithium-ion batteries. However, in order to be practical useable, the method needs to be feasible on a pack or EV level and not only on an individual cell level. Therefore, the purpose of this article is to demonstrate the feasibility of the ICA method on real EVs. Nickel manganese cobalt (NMC) cells used in BMW i3 EVs and lithium manganese oxide (LMO) used in Nissan Leaf EVs have been tested both on the cell level and on car level. The results are consistent and the characteristic peaks and valleys of the ICA on car level match with the same on cell level. A root-mean-square error of 1.33% and 2.92% has been obtained for the SoH estimation of the NMC and LMO type, respectively. It is therefore concluded that the ICA method is also applicable to the car level for battery SoH estimation. |
| Databáze: | OpenAIRE |
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