Title :
A Foster Network Thermal Model for HEV/EV Battery Modeling
Author :
Hu, Xiao ; Lin, Shaohua ; Stanton, Scott ; Lian, Wenyu
Author_Institution :
ANSYS Inc., Canonsburg, PA, USA
Abstract :
Battery thermal management for high-power applications such as electrical/hybrid vehicles is crucial. Modeling is an indispensable tool to help engineers design better battery cooling systems. An accurate battery thermal model using a Foster network is proposed. The parameters in the Foster network, including capacitance and resistance, are extracted from computational fluid dynamics (CFD) results. The Foster network model is then shown to provide equivalent results as those from CFD under transient heat dissipation inputs. The model can be readily coupled with a battery electrical circuit model to form a complete battery system circuit model capable of predicting accurate battery temperature and the impact of temperature on battery electrical transient performance.
Keywords :
battery powered vehicles; computational fluid dynamics; cooling; hybrid electric vehicles; secondary cells; thermal management (packaging); transients; CFD; HEV-EV battery modeling; battery cooling system; battery electrical circuit model; battery electrical transient performance; battery thermal management; computational fluid dynamic; foster network thermal model; hybrid electric vehicle-electric vehicle battery modeling; transient heat dissipation input; Batteries; Computational fluid dynamics; Convolution; Heating; Integrated circuit modeling; Mathematical model; Temperature measurement; ANSYS; FLUENT; SIMPLORER; battery electrical circuit model; battery thermal management; computational fluid dynamics (CFD); electric vehicle (EV); hybrid EV (HEV); linear and time invariant (LTI);
Journal_Title :
Industry Applications, IEEE Transactions on
DOI :
10.1109/TIA.2011.2155012