2012
DOI: 10.1002/er.2884
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Thermal analysis of a Li-ion battery module under realistic EV operating conditions

Abstract: SUMMARY The thermal behavior of a Li‐ion battery module that belongs to the battery system of an actual electric vehicle prototype was numerically investigated. Realistic driving loads and passive cooling conditions were considered. A combination of a vehicle dynamics model, an equivalent electric circuit battery model, and a 3D finite‐element thermal model was used in the analysis. Temperature and electric potential measurements, performed at the cell and module levels, were first used for model calibration. … Show more

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Cited by 43 publications
(31 citation statements)
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“…Generally, the battery internal resistance R can be described either as a constant or as a function of battery state of charge (SOC) or as a function of temperature . In the present study, the value of internal resistance is considered as a function of temperature as shown in Figure .…”
Section: Electro‐thermal Modellingmentioning
confidence: 99%
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“…Generally, the battery internal resistance R can be described either as a constant or as a function of battery state of charge (SOC) or as a function of temperature . In the present study, the value of internal resistance is considered as a function of temperature as shown in Figure .…”
Section: Electro‐thermal Modellingmentioning
confidence: 99%
“…Temperature has a huge influence on the value of battery internal resistance. The change of battery internal resistance with the temperature is reported in . In general, battery internal resistance decreases when the temperature increases (from around −20 °C) until certain limits (around 50 °C) .…”
Section: Electro‐thermal Modellingmentioning
confidence: 99%
“…14, 16 Guo et al 17 and Gerver et al 18 introduced electrochemistry to thermal models and provided concrete expressions for the open circuit voltage (OCV) as a function of the state of charge (SOC), and the entropy change dU/dT. [23][24][25] They, however, suffer from several disadvantages. This coupled model greatly increased the prediction precision of battery states, especially the internal cell temperature.…”
Section: Introductionmentioning
confidence: 99%
“…To guarantee batteries in a normal operation temperature range, especially for the EV/HEV road and highway applications which would result in a temperature increase that accelerates cell aging, efficient thermal management systems for the energy storage are highly required . Rao et al .…”
Section: Introductionmentioning
confidence: 99%