Model Development for State of Power Estimation of Nmc-Based Lithium-Ion Cell Validated Using Real-Life Profile
This paper investigates on model development of the state of power (SoP) estimation of a large capacity 43 Ah prismatic NMC cell with a thorough investigation of the cells' internal resistance increase. For a safe operation of the vehicle system, the battery management system (BMS) integrated with SoP estimation functions is crucial. In this study, the developed SoP model is coupled with dual-polarization-equivalent circuit model (DP-ECM) that is used for simulation of SoP throughout the lifetime of the cell. The estimation of SoP throughout the lifetime of the cell is studied by determining the rate of internal resistance increment. The impedance effects whose parameters are extracted from hybrid pulse power characterization (HPPC) test results are analyzed using the table-based linear interpolation (TBLI) method. Two state estimation methods, including the Coulomb Counting and the Extended Kalman Filter (EKF) methods, are developed for the estimation of the state of charge (SoC) and SoP of the cell. The validation of the SoP model is performed by using both dynamic Worldwide Harmonized Light vehicles Test Cycles (WLTC) and static validation profiles achieving promising results with mean relative error of 20% and 16% respectively
Year of publication: |
[2022]
|
---|---|
Authors: | Kebede, Abraham ; Hosen, Md Sazzad ; Kalogiannis, Theodoros ; Coosemans, Thierry ; Jemal, Towfik ; Behabtu, Henok Ayele ; Van Mierlo, Joeri ; Berecibar, Maitane |
Publisher: |
[S.l.] : SSRN |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Omar, Noshin, (2014)
-
Messagie, Maarten, (2014)
-
Turcksin, Laurence, (2011)
- More ...