TY - JOUR
T1 - Computational battery dynamics (CBD) - Electrochemical/thermal coupled modeling and multi-scale modeling
AU - Wang, C. Y.
AU - Srinivasan, Venkat
N1 - Funding Information:
The authors wish to gratefully acknowledge the financial support from DARPA Tactical Technology Office (TTO) under cooperative agreement No. MDA 972-95-2-0009 and 972-95-3-0019, DOE GATE center under cooperative agreement No. DE-FCO2-98CH10954, NSF under grant Nos. DOE-9979579 and CTS-9733662, and NASA/Jet Propulsion Laboratory over the last 5 years. Dr. Wen-Bin Gu developed the Ni-MN and the Li-ion models and Yinghui Pan performed the experimental-model comparison for the Ni–MH cells. Guoqing Wang developed the pore-level models and Rebecca Cullion developed the stack model for the Ni–H 2 cells.
PY - 2002/8/22
Y1 - 2002/8/22
N2 - This paper reviews the development of first-principles based mathematical models for batteries developed on a framework parallel to computation fluid dynamics (CFD), herein termed computational battery dynamics (CBD). This general-purpose framework makes use of the similarity in the equations governing different battery systems, and has resulted in the development of robust models in a relatively short time. Here we review this framework, in the context of applications to the coupled modeling of the thermal and electrochemical behavior of cells, and to the modeling at three different scales, namely pore-level, cell-level and stack-level. The similarity and differences of our approach with other research groups are exemplified. Significant results from each of these advanced applications of modeling are highlighted with emphasis on the insights that can be gained from a first-principles model. In addition, we also demonstrate the usefulness of a combined experimental-modeling approach in describing cells. The models reviewed here are expected to be useful in predicting the behavior of advanced batteries used in electric vehicles (EVs) and hybrid electric vehicles (HEVs).
AB - This paper reviews the development of first-principles based mathematical models for batteries developed on a framework parallel to computation fluid dynamics (CFD), herein termed computational battery dynamics (CBD). This general-purpose framework makes use of the similarity in the equations governing different battery systems, and has resulted in the development of robust models in a relatively short time. Here we review this framework, in the context of applications to the coupled modeling of the thermal and electrochemical behavior of cells, and to the modeling at three different scales, namely pore-level, cell-level and stack-level. The similarity and differences of our approach with other research groups are exemplified. Significant results from each of these advanced applications of modeling are highlighted with emphasis on the insights that can be gained from a first-principles model. In addition, we also demonstrate the usefulness of a combined experimental-modeling approach in describing cells. The models reviewed here are expected to be useful in predicting the behavior of advanced batteries used in electric vehicles (EVs) and hybrid electric vehicles (HEVs).
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U2 - 10.1016/S0378-7753(02)00199-4
DO - 10.1016/S0378-7753(02)00199-4
M3 - Article
AN - SCOPUS:0037159012
SN - 0378-7753
VL - 110
SP - 364
EP - 376
JO - Journal of Power Sources
JF - Journal of Power Sources
IS - 2
ER -