Li‐ion battery modeling and characterization: An experimental overview on NMC battery

Author(s):  
Ines Baccouche ◽  
Sabeur Jemmali ◽  
Bilal Manai ◽  
Alexandros Nikolian ◽  
Noshin Omar ◽  
...  
Batteries ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. 51
Author(s):  
Manh-Kien Tran ◽  
Andre DaCosta ◽  
Anosh Mevawalla ◽  
Satyam Panchal ◽  
Michael Fowler

Lithium-ion (Li-ion) batteries are an important component of energy storage systems used in various applications such as electric vehicles and portable electronics. There are many chemistries of Li-ion battery, but LFP, NMC, LMO, and NCA are four commonly used types. In order for the battery applications to operate safely and effectively, battery modeling is very important. The equivalent circuit model (ECM) is a battery model often used in the battery management system (BMS) to monitor and control Li-ion batteries. In this study, experiments were performed to investigate the performance of three different ECMs (1RC, 2RC, and 1RC with hysteresis) on four Li-ion battery chemistries (LFP, NMC, LMO, and NCA). The results indicated that all three models are usable for the four types of Li-ion chemistries, with low errors. It was also found that the ECMs tend to perform better in dynamic current profiles compared to non-dynamic ones. Overall, the best-performed model for LFP and NCA was the 1RC with hysteresis ECM, while the most suited model for NMC and LMO was the 1RC ECM. The results from this study showed that different ECMs would be suited for different Li-ion battery chemistries, which should be an important factor to be considered in real-world battery and BMS applications.


Author(s):  
Tae-Kyung Lee ◽  
Zoran S. Filipi

This paper proposes a reduced Li-ion battery model for design optimization and control design by implementing the electrode-averaged diffusion dynamics and uneven discretization of the particle radius for fast computation and accurate prediction of the Lithium intercalation dynamics. First, the unevenly discretized dynamics model is constructed from the ordinary differential equation (ODE) derived in the electrode-averaged battery model. Then, constrained optimization problems with multi-objectives are formulated to find the optimal uneven discretization. The cost function is evaluated under the wide battery operation data sets constructed by Latin hypercube sampling (LHS) to reduce the total number of cases. The optimally determined unevenly discretized model can predict the battery electrochemical dynamics with much smaller number of discretization steps compared to the evenly discretized electrode-averaged battery model without loss of physical interpretation of the diffusion dynamics in the electrode solid particles.


Batteries ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 37 ◽  
Author(s):  
Mostafa Al-Gabalawy ◽  
Nesreen S. Hosny ◽  
Shimaa A. Hussien

This paper introduces a physical–chemical model that governs the lithium ion (Li-ion) battery performance. It starts from the model of battery life and moves forward with simplifications based on the single-particle model (SPM), until arriving at a more simplified and computationally fast model. On the other hand, the implementation of this model is developed through MATLAB. The goal is to characterize an Li-ion cell and obtain its charging and discharging curves with different current rates and different cycle depths, as well as its transitory response. In addition, the results provided are represented and compared, and different methods of estimating the state of the batteries are applied. They include the dynamics of the electrolyte and the effects of aging caused by a high number of charging and discharging cycles of the batteries. A complete comparison with the three-parameter method (TPM) is represented in order to demonstrate the superiority of the applied methodology.


2021 ◽  
Author(s):  
Shahenda M. Abdelhafiz ◽  
A. M. AbdelAty ◽  
M. E. Fouda ◽  
A. G. Radwan

Author(s):  
J.H. Lee ◽  
M.H. Kim ◽  
S.H. Lee ◽  
S.Y. Jin ◽  
W.H. Park

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