Adoption of thermal behavior as an indicator for enhancement of the EIS analysis for NCR 18650B Commercial Lithium-ion batteries system

MRS Advances ◽  
2018 ◽  
Vol 3 (53) ◽  
pp. 3155-3162 ◽  
Author(s):  
Bo Dong ◽  
Yige Li ◽  
Kazi Ahmed ◽  
Cengiz Sinan Ozkan ◽  
Mihrimah Ozkan

ABSTRACTIt is of great significance to understand and monitor the condition of the commercial batteries in EVs/HEVs and stationary applications under their real working situations. Electrochemical impedance spectroscopy (EIS) has been proved to be a powerful technique for investigating the kinetics and redox reactions at the interfaces, as well as the diffusion behavior in the bulks of every electrochemical systems. Focusing on tracing the temperature of the commercial batteries during the EIS tests at different stages in a well-designed four-week driving simulation, the value of temperature profile during the EIS test as an enhanced indicator to help analyzing the formation of the passivation layers, electrolyte impedance development as well as lithium plating on the anode through EIS analysis have been found.

Machines ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 71
Author(s):  
Seyed Saeed Madani ◽  
Erik Schaltz ◽  
Søren Knudsen Kær

Lithium-ion batteries are being implemented in different large-scale applications, including aerospace and electric vehicles. For these utilizations, it is essential to improve battery cells with a great life cycle because a battery substitute is costly. For their implementation in real applications, lithium-ion battery cells undergo extension during the course of discharging and charging. To avoid disconnection among battery pack ingredients and deformity during cycling, compacting force is exerted to battery packs in electric vehicles. This research used a mechanical design feature that can address these issues. This investigation exhibits a comprehensive description of the experimental setup that can be used for battery testing under pressure to consider lithium-ion batteries’ safety, which could be employed in electrified transportation. Besides, this investigation strives to demonstrate how exterior force affects a lithium-ion battery cell’s performance and behavior corresponding to static exterior force by monitoring the applied pressure at the dissimilar state of charge. Electrochemical impedance spectroscopy was used as the primary technique for this research. It was concluded that the profiles of the achieved spectrums from the experiments seem entirely dissimilar in comparison with the cases without external pressure. By employing electrochemical impedance spectroscopy, it was noticed that the pure ohmic resistance, which is related to ion transport resistance of the separator, could substantially result in the corresponding resistance increase.


2021 ◽  
Vol 12 (2) ◽  
pp. 77
Author(s):  
Md Sazzad Hosen ◽  
Rahul Gopalakrishnan ◽  
Theodoros Kalogiannis ◽  
Joris Jaguemont ◽  
Joeri Van Mierlo ◽  
...  

In electrified vehicle applications, understanding the battery characteristics is of great importance as it is the state-of-art principal energy source. The key battery parameters can be identified by one of the robust and nondestructive characterization techniques, such as electrochemical impedance spectroscopy (EIS). However, relaxing the battery cell before performing the EIS method is crucial for the characterization results to be standardized. In this study, the three most common and commercially available lithium-ion technologies (NMC/graphite, LFP/graphite, NCA/LTO) are investigated at 15–45 °C temperature, in the range of 20–80% state of charge (SoC) and in fresh and aged state of health (SoH) conditions. The analysis shows that the duration of the relaxation time before impedance measurement has an impact on the battery’s nonlinear behavior. A rest time of 2 h can be proposed, irrespective of battery health condition, considering neutral technology-based impedance measurement. An impedance growth in ohmic and charge transfer characteristics was found, due to aging, and the effect of rest periods was also analyzed from an electrochemical standpoint. This experimental data was fitted to develop an empirical model, which can predict the nonlinear dynamics of lithium technologies with a 4–8% relative error for longer rest time.


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