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A dynamic electro‐thermal coupled model for temperature prediction of a prismatic battery considering multiple variables
Author(s) -
Li Wei,
Xie Yi,
Zhang Yangjun,
Lee Kuining,
Liu Jiangyan,
Mou Lisa,
Chen Bin,
Li Yunlong
Publication year - 2020
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.6087
Subject(s) - thermal , current (fluid) , control theory (sociology) , mechanics , materials science , voltage , dynamic simulation , thermodynamics , simulation , computer science , engineering , physics , control (management) , artificial intelligence , electrical engineering
Summary A dynamic coupled electro‐thermal model including the impact of the state of charge (SOC), inner temperature and current flux on resistance and heat generation rate is proposed for prismatic batteries, including the ohmic and polarization resistances and entropy coefficient. This model reflects the interaction between generation rate of heat and temperature distribution and is appropriate to be employed. Subsequently, the dynamic model is implemented to reveal the temperature increase of a Li‐ion prismatic battery with the capacity of 50‐Ah under the conditions of static and dynamic currents. Experiments are performed to demonstrate the model which is given in this article can precisely describe the thermal behavior under the conditions of static and dynamic currents and different ambient temperatures, with an average relative error of 5.87% for the static condition and of 11.81% for the dynamic condition. In addition, comparative studies are utilized to decide the application range of the dynamic model. It shows according to the results that it should be used for the temperature prediction under the condition of dynamic current. As for the static current condition, the static model ignoring the effect of current can replace the dynamic model, although the temperature prediction precision of the dynamic model is slightly higher than that of the static model. Finally, the proposed dynamic model is compared with a resistance‐based thermal model where the heat generation depends only on SOC and is demonstrated to be superior to its counterpart.