2020
DOI: 10.1016/j.jpowsour.2020.228841
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Approach to determine the entropy coefficient of a battery by numerical optimization

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Cited by 12 publications
(6 citation statements)
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“…The consistency in each cells operational characteristics was verified in preliminary experiments, yielding highly consistent nominal capacity (5.84 ± 0.02 Ah) during a 0.05 C discharge from 100% SOC at 25 °C. Focussing on just one cell chemistry allows for the most in-depth investigation and procedural optimisation and aligns with the analysis of Lenz et al, 29 who found the potentiometric procedure performed to a similar extent across a range of different lithium-ion cells and cell chemistries.…”
Section: Experimental Apparatussupporting
confidence: 59%
“…The consistency in each cells operational characteristics was verified in preliminary experiments, yielding highly consistent nominal capacity (5.84 ± 0.02 Ah) during a 0.05 C discharge from 100% SOC at 25 °C. Focussing on just one cell chemistry allows for the most in-depth investigation and procedural optimisation and aligns with the analysis of Lenz et al, 29 who found the potentiometric procedure performed to a similar extent across a range of different lithium-ion cells and cell chemistries.…”
Section: Experimental Apparatussupporting
confidence: 59%
“…A value of 0.002 has been found in the literature [ 38 ], but the case under investigation does not produce a good agreement between the model and experimental values. Since the capability to model a thermal system of the battery is directly related to the accuracy of the determination of its reversible heat generation coefficient [ 41 ], for the tested battery, an evaluation has been performed on purpose. The experiment has been set in the laboratory, consisting in heating the battery inside a chamber and measuring the voltage using the bidirectional power supply.…”
Section: 1d Thermal Modeling Of the Batterymentioning
confidence: 99%
“…coefficient, the value is selected as 0.5 mV/K 42,43 ; R is the internal resistance of the battery which changes varying with the state of charge (SOC) and temperature.…”
Section: Battery Thermal Modelmentioning
confidence: 99%
“…According to the Bernardi heat generation rate model, assuming a uniform and stable heat source inside the battery, q can be determined as 41 : q=1Vbattrue[I2RITbatETbattrue], $q=\frac{1}{{V}_{\text{bat}}}[{I}^{2}R-I{T}_{\text{bat}}\frac{\partial E}{\partial {T}_{\text{bat}}}],$where I is the current; E is the open‐circuit voltage; V is the volume; E/T $\partial E/\partial T$ represents the temperature coefficient, the value is selected as 0.5 mV/K 42,43 ; R is the internal resistance of the battery which changes varying with the state of charge (SOC) and temperature.…”
Section: Modeling Of Battery Cooling Systemmentioning
confidence: 99%