Model Development for State-of-Power Estimation of Large-Capacity Nickel-Manganese-Cobalt Oxide-Based Lithium-Ion Cell Validated Using a Real-Life Profile

Abraham Alem Kebede; Md Sazzad Hosen; Theodoros Kalogiannis; Henok Ayele Behabtu; Towfik Jemal; Joeri Van Mierlo; Thierry Coosemans; Maitane Berecibar

LAPSE:2023.9538v1

Published Article

LAPSE:2023.9538v1

Model Development for State-of-Power Estimation of Large-Capacity Nickel-Manganese-Cobalt Oxide-Based Lithium-Ion Cell Validated Using a Real-Life Profile

Abraham Alem Kebede, Md Sazzad Hosen, Theodoros Kalogiannis, Henok Ayele Behabtu, Towfik Jemal, Joeri Van Mierlo, Thierry Coosemans, Maitane Berecibar

February 27, 2023

Abstract
This paper investigates the model development of the state-of-power (SoP) estimation for a 43 Ah large-capacity prismatic nickel-manganese-cobalt oxide (NMC) based lithium-ion cell with a thorough aging investigation of the cells’ internal resistance increase. For a safe operation of the vehicle system, a battery management system (BMS) integrated with SoP estimation functions is crucial. In this study, the developed SoP model used for the estimation of power throughout the lifetime of the cell is coupled with a dual-polarization equivalent-circuit model (DP_ECM) for achieving the precise estimation of desired parameters. The SoP model is developed based on the pulse-trained internal resistance evolution approach, and hence the power is estimated by determining the rate of internal resistance increase. Hybrid pulse power characterization (HPPC) test results are used for extraction of the impedance parameters. In the DP_ECM, Coulomb counting and extended Kalman filter (EKF) state estimation methods are developed for the accurate estimation of the state of charge (SoC) of the cell. The SoP model validation is performed by using both dynamic Worldwide harmonized Light vehicles Test Cycles (WLTC) and static current profiles, achieving promising results with root-mean-square errors (RMSE) of 2% and 1%, respectively.

Record ID

LAPSE:2023.9538v1

Keywords

aging, battery management system, internal resistance increase, state of charge, state of power, validation profiles

Subject

Energy Systems

Suggested Citation

Kebede AA, Hosen MS, Kalogiannis T, Behabtu HA, Jemal T, Van Mierlo J, Coosemans T, Berecibar M. Model Development for State-of-Power Estimation of Large-Capacity Nickel-Manganese-Cobalt Oxide-Based Lithium-Ion Cell Validated Using a Real-Life Profile. (2023). LAPSE:2023.9538v1

Author Affiliations

Kebede AA: Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussels, Belgium; Faculty of Electrical and Computer Engineering, Jimma Institute of Technology, Jimma University, Jimma 378, Ethiopia [ORCID]
Hosen MS: Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussels, Belgium [ORCID]
Kalogiannis T: Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussels, Belgium
Behabtu HA: Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussels, Belgium; Faculty of Electrical and Computer Engineering, Jimma Institute of Technology, Jimma University, Jimma 378, Ethiopia [ORCID]
Jemal T: Faculty of Electrical and Computer Engineering, Jimma Institute of Technology, Jimma University, Jimma 378, Ethiopia
Van Mierlo J: Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussels, Belgium [ORCID]
Coosemans T: Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussels, Belgium [ORCID]
Berecibar M: Mobility, Logistics and Automotive Technology Research Center, Vrije Universiteit Brussels, Pleinlaan 2, 1050 Brussels, Belgium

Journal Name

Energies

Volume

15

Issue

18

First Page

6497

Year

2022

Publication Date

2022-09-06