Effect of entropy change of lithium intercalation in cathodes and anodes on Li-ion battery thermal management

Viswanathan, Vilayanur V.; Choi, Daiwon; Wang, Donghai; Xu, Wu; Towne, Silas A.; Williford, R.E.; Zhang, Ji Guang; Liu, Jun; Yang, Zhenguo

doi:10.1016/j.jpowsour.2009.11.103

Cited by 334 publications

(199 citation statements)

References 14 publications

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“…Thus, the net heat generation in the LTO cells is much lower, which makes the LTO cell a potential candidate for a cell with higher thermal safety, even during very fast charging (within less than 30 min). It was also found that the entropy change is insignificant in an LTO based commercial full cell [22]. These properties were reflected in the surface temperature profile of the LTO cell (see Figure 7).…”

Section: Continuous Charge and Dischargementioning

confidence: 90%

“…At the cathode, these changes are based on the ratio of lithium and other elements (e.g., Cobalt) at the cathode. Additionally, at the anode, these changes are based on the ratio of lithium and carbon during intercalation/deintercalation of lithium [20][21][22]. However, at a higher current rate, the contribution of irreversible heat (i.e., polarization resistance heat and ohmic resistance heat) becomes dominant.…”

Section: Cell Characteristicsmentioning

confidence: 99%

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

et al. 2015

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Abstract:The non-uniform surface temperature distribution of a battery cell results from complex reactions inside the cell and makes efficient thermal management a challenging task. This experimental work attempts to determine the evolution of surface temperature distribution of three pouch type commercial cells: Nickel Manganese Cobalt oxide (NMC)-based 20 Ah cell, Lithium Iron Phosphate (LFP) 14 Ah, and Lithium Titanate Oxide (LTO) 5 Ah battery cell by using contact thermistor and infrared (IR) thermography. High current (up to 100 A) continuous charge/discharge and high current (80 A) micro pulse cycling profile were applied on the cells. It was found that thermistor based temperature profile varied cell to cell, especially the LTO cell. Among the investigated cells, the NMC cell shows highest temperature rise and the LTO cell the lowest rise. IR (Infrared) images revealed the spatial distribution of surface temperature, in particular the location of the hottest region varies depending not only on the geometrical and material properties of the cell, but also the type of loads applied on the cells. Finally, a modeling perspective of the cell temperature non-uniformity is also discussed. OPEN ACCESSEnergies 2015, 8 8176

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Section: Continuous Charge and Dischargementioning

confidence: 90%

Section: Cell Characteristicsmentioning

confidence: 99%

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

et al. 2015

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“…To be able to do so, we kept the thickness of the components constant and used the same XALT separator for all cells (see Table 4, k s a.m. = 0.21 Wm −1 K −1 ). In addition to the NMC | graphite cell, which we modelled before, we showed the maximum temperature rise as function of the C-rate (discharge) of an LCO | graphite cell (overall entropy change of −35 J mol·K [35]) and a LFP | graphite cell (overall entropy change of −9 J mol·K [35]). In case of the LFP | graphite and the LCO | graphite cell, we used the graphite anode from Hohsen.…”

Section: Temperature Profile Assessmentmentioning

confidence: 97%

“…We used an entropy change of −9 J mol·K [35] for the NMC | graphite cell. According to Burheim et al [18], we assumed an ohmic resistance of 2mΩ · m 2 and an overpotential of η = −0.042 + 0.067 · log(j).…”

Section: Temperature Profile Assessmentmentioning

confidence: 99%

Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Richter

Kjelstrup

Vie

et al. 2017

Journal of Power Sources

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“…These differences are cell dependent and are functions of the SOC. This approach is described extensively by Viswanathan et al (Viswanathan et al, 2009). They have also published data for various cell types in the same paper.…”

Section: Battery Modelmentioning

confidence: 99%

Modeling and Validation of a Multiple Evaporator Refrigeration Cycle for Electric Vehicles

Varchmin

Gräber

Köhler

2015

Linköping Electronic Conference Proceedings

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Multiple evaporator vapor compression cycles become relevant for thermal systems in electric vehicles since batteries and other electric components demand cooling for a secure operation. In difference to most other applications with parallel evaporators cooling demands and temperature levels vary between the different secondary fluids. This leads to a more complex system behavior that needs to be described for optimality and control analysis. In this paper a dynamic model for an automotive air conditioning cycle with an additional evaporator for battery cooling is developed and validated. A battery model library for calculating temperatures and waste heat flows of battery cells and modules is presented. Multi-evaporator effects and their consequences are discussed. Reasonable actuating and control variables are chosen and a discussion regarding possible control schemes is given.

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Effect of entropy change of lithium intercalation in cathodes and anodes on Li-ion battery thermal management

Cited by 334 publications

References 14 publications

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

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

Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Modeling and Validation of a Multiple Evaporator Refrigeration Cycle for Electric Vehicles

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