Comparative Study of Surface Temperature Behavior of Commercial Li-Ion Pouch Cells of Different Chemistries  and Capacities by Infrared Thermography

Goutam, Shovon; Timmermans, Jean-Marc; Omar, Noshin; Bossche, Peter Van den; Mierlo, Joeri Van

doi:10.3390/en8088175

Cited by 108 publications

(51 citation statements)

References 32 publications

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“…Figure 7b displays the thermal evolution at ambient temperature (25°C) for the CCNP-CV test of a fresh NMC cell (100% SoH). The spatial distribution under the fast-charging profile shows a hot region observed in the center of the cell, which is confirmed in other studies [35,50]. Moreover, as shown in Figure 7a, the three-dimensional (3D)-thermal model evenly reproduces the spatial distribution at the same simulation point, corroborating the good behavior of the model.…”

Section: Resultssupporting

confidence: 88%

Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging

et al. 2018

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Fast charging is an exciting topic in the field of electric and hybrid electric vehicles (EVs/HEVs). In order to achieve faster charging times, fast-charging applications involve high-current profiles which can lead to high cell temperature increase, and in some cases thermal runaways. There has been some research on the impact caused by fast-charging profiles. This research is mostly focused on the electrical, thermal and aging aspects of the cell individually, but these factors are never treated together. In this paper, the thermal progression of the lithium-ion battery under specific fast-charging profiles is investigated and modeled. The cell is a Lithium Nickel Manganese Cobalt Oxide/graphite-based cell (NMC) rated at 20 Ah, and thermal images during fast-charging have been taken at four degradation states: 100%, 90%, 85%, and 80% State-of-Health (SoH). A semi-empirical resistance aging model is developed using gathered data from extensive cycling and calendar aging tests, which is coupled to an electrothermal model. This novel combined model achieves good agreement with the measurements, with simulation results always within 2°C of the measured values. This study presents a modeling methodology that is usable to predict the potential temperature distribution for lithium-ion batteries (LiBs) during fast-charging profiles at different aging states, which would be of benefit for Battery Management Systems (BMS) in future thermal strategies.

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Section: Resultssupporting

confidence: 88%

Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging

et al. 2018

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“…By far, Li-ion Batteries (LIBs) represent the preferred battery technology for most applications owing to their superior performance [1,2]. For a range of applications such as electric vehicles, electric boats and electric airplanes, they still lag behind when competing with established alternatives.…”

Section: Introductionmentioning

confidence: 99%

Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

et al. 2016

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Lithium-ion battery (LIB) technology further enabled the information revolution by powering smartphones and tablets, allowing these devices an unprecedented performance against reasonable cost. Currently, this battery technology is on the verge of carrying the revolution in road transport and energy storage of renewable energy. However, to fully succeed in the latter, a number of hurdles still need to be taken. Battery performance and lifetime constitute a bottleneck for electric vehicles as well as stationary electric energy storage systems to penetrate the market. Electrochemical battery models are one of the engineering tools which could be used to enhance their performance. These models can help us optimize the cell design and the battery management system. In this study, we evaluate the ability of the Porous Electrode Theory (PET) to predict the effect of changing positive electrode density in the overall performance of Li-ion battery cells. It can be concluded that Porous Electrode Theory (PET) is capable of predicting the difference in cell performance due to a changing positive electrode density.

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“…Although thermistors are extensively used in practical applications, the use of thermistors for research purposes is limited. NTC thermistors with an accuracy of ±1 o C were used to measure the surface temperature of cylindrical 18650 batteries [142] and on three different pouch-type batteries [194]. To validate a thermal model, non-specified thermistors have been used to monitor the temperature inside the mandrel of cylindrical 28650 batteries [195].…”

Section: Figmentioning

confidence: 99%

A review on various temperature-indication methods for Li-ion batteries

et al. 2019

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Temperature measurements of Li-ion batteries are important for assisting Battery Management Systems in controlling highly relevant states, such as State-of-Charge and State-of-Health. In addition, temperature measurements are essential to prevent dangerous situations and to maximize the performance and cycle life of batteries. However, due to thermal gradients, which might quickly develop during operation, fast and accurate temperature measurements can be rather challenging. For a proper selection of the temperature measurement method, aspects such as measurement range, accuracy, resolution, and costs of the method are important. After providing a brief overview of the working principle of Li-ion batteries, including the heat generation principles and possible consequences, this review gives a comprehensive overview of various temperature measurement methods that can be used for temperature indication of Li-ion batteries. At present, traditional temperature measurement methods, such as thermistors and thermocouples, are extensively used. Several recently introduced methods, such as impedance-based temperature indication and fiber Bragg-grating techniques, are under investigation in order to determine if those are suitable for largescale introduction in sophisticated battery-powered applications.

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Comparative Study of Surface Temperature Behavior of Commercial Li-Ion Pouch Cells of Different Chemistries and Capacities by Infrared Thermography

Cited by 108 publications

References 32 publications

Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging

Combining an Electrothermal and Impedance Aging Model to Investigate Thermal Degradation Caused by Fast Charging

Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

A review on various temperature-indication methods for Li-ion batteries

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