Reduced-order thermal modeling of liquid-cooled lithium-ion battery pack for EVs and HEVs

作者: Fan He , Abhid Akram Ams , Yeliana Roosien , Wei Tao , Bruce Geist

DOI: 10.1109/ITEC.2017.7993322

关键词:

摘要: Adequate thermal management is critical to maintain and manage lithium-ion (Li-ion) battery health performance within Electrical Vehicles (EVs) Hybrid Electric (HEVs). Numerical models can assist in the design optimization of systems for packs. Compared with distributed models, reduced-order predict results acceptable accuracy much lower computational cost. Therefore, provide insight, are often employed predicting transient electrical behaviors a pack. This paper presents development, validation, application detailed, model pack liquid cooling. The described capable average temperature each individual cell. It was first developed general vehicle modeling software environment which an equivalent circuit captures characteristics A structural-thermal heat transfer among cells, cooling liquid, as well temperatures other components inside Calibration validation performed test data that includes cell state charge (SOC), terminal voltage, coolant temperature, data.

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