This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Validation of a Lumped Electro-Thermal Model of a 14S1P Battery Module with 3D CFD Results
Technical Paper
2021-01-0761
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Event:
SAE WCX Digital Summit
Language:
English
Abstract
A lumped electro-thermal model for a battery module with 14 cells in series (14S1P), and with a cooling channel, is created by two-way coupling of an equivalent circuit model (ECM) and a linear time-invariant (LTI) method based thermal reduced order model (ROM). To create the ROM, a step response data in the form of temperature versus time curve is required. This data is obtained by running a transient full three-dimensional (3D) computational fluid dynamics (CFD) analysis for the full module. The thermal ROM accounts for the effect of the heat generated by the active cells, the joule heat generated in tabs and connectors, and the coolant inlet temperature. To create an ECM, data from hybrid pulse power characterization (HPPC) test is used. Such a lumped electro-thermal model for a battery module can run faster than a 3D CFD analysis and can be easily integrated in a system level model. A 3D electro-thermal conjugate heat transfer (CHT) CFD analysis of a battery has high accuracy and fidelity, but it can be difficult to implement in a system level simulation. Hence, it is important to establish the accuracy of the lumped model by comparing with the 3D CFD results. Results from the lumped model are compared with the results from a 3D CFD simulation for a drive cycle. The lumped model results are within 1.6% of the CFD results. Also, the lumped model runs in a few seconds for a complete drive cycle making it a suitable model for a system level simulation.
Authors
Citation
Champhekar, O., Hu, X., and Wakale, A., "Validation of a Lumped Electro-Thermal Model of a 14S1P Battery Module with 3D CFD Results," SAE Technical Paper 2021-01-0761, 2021, https://doi.org/10.4271/2021-01-0761.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 |
Also In
References
- Bandhauer , T.M. , Garimella , S. , and Fuller , T.F. A Critical Review of Thermal Issues in Lithium-Ion Batteries Journal of The Electrochemical Society 158 3 R1 2011 10.1149/1.3515880
- Zhu , D. , Pritchard , E.G.D. , and Silverberg , L.M. A New System Development Framework Driven by a Model-Based Testing Approach Bridged by Information Flow IEEE Systems Journal 12 3 2917 2924 2016
- Doyle , M. , Fuller , T.F. , and Newman , J. Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell Journal of Electrochem. Soc. 140 1526 1533 1993
- Fuller , T.F. , Doyle , M. , and Newman , J. Simulation and Optimization of the Dual Lithium Ion Insertion Cell Journal of Electrochem. Soc. 141 1 110 1994 10.1149/1.2054684
- Doyle , M. , Newman , J. , Gozdz , A.S. , Schmutz , C.N. et al. Comparison of Modeling Predictions with Experimental Data from Plastic Lithium Ion Cells Journal of The Electrochemical Society 143 6 1890 1903 1996 10.1149/1.1836921
- Smith , K. , and Wang , C.Y. Power and Thermal Characterization of a Lithium-Ion Battery Pack for Hybrid-Electric Vehicles Journal of Power Sources 160 1 662 673 2006 10.1016/j.jpowsour.2006.01.038
- Li , G. , and Li , S. Physics-Based CFD Simulation of Lithium-Ion Battery under the FUDS Driving Cycle ECS Transactions 64 33 1 14 April 2015 10.1149/06433.0001ecst
- Chen , M. , and Rincon-Mora , G.A. Accurate Electrical Battery Model Capable of Predicting Runtime and I-V Performance IEEE Trans. on Energy Conversion 21 2 June 2006 10.1109/TEC.2006.874229.
- Gao , L. , Liu , S. , and Dougal , R.A. Dynamic Lithium-Ion Battery Model for System Simulation IEEE Trans. Comp. Package. Technology 25 3 495 505 Sep. 2002 10.1109/TCAPT.2002.803653.
- Zhang , H. , Hai Wei , M. , Zhang , Y. , and Han , J. Calculation and Characteristics Analysis of Lithium Ion Batteries’ Internal Resistance Using HPPC Test Advanced Materials Research 926-930 915 918 May 2014 10.4028/www.scientific.net/amr.926-930.915
- Ghosh , D. , Maguire , P. , and Zhu , D. Design and CFD Simulation of a Battery Module for a Hybrid Electric Vehicle Battery Pack SAE Technical Paper 2009-01-1386 2009 https://doi.org/10.4271/2009-01-1386
- Ghosh , D. , Maguire , P.D. , and Zhu , D.X. Design and CFD Simulation of a Battery Module for a Hybrid Electric Vehicle Battery Pack SAE Technical Paper 2009-01-1386 2009 https://doi.org/10.4271/2009-01-1386
- Chen , S.X. , Tseng , K.J. , and Choi , S.S. Modeling of Lithium-Ion Battery for Energy Storage System Simulation 2009 Asia-Pacific Power and Energy Engineering Conference Wuhan 2009 1 4 10.1109/APPEEC.2009.4918501
- Mahamud , R. , and Park , C. Reciprocating Air Flow for Li-Ion Battery Thermal Management to Improve Temperature Uniformity Journal of Power Sources 196 13 5685 5696 2011 10.1016/j.jpowsour.2011.02.076
- Hu , X. , Lin , S. , and Stanton , S. A Novel Thermal Model for HEV/EV Battery Modeling Based on CFD Calculation 2010 IEEE Energy Conversion Congress and Exposition 893 900 2010 10.1109/ECCE.2010.5617897
- Hu , X. , Lin , S. , Stanton , S. , and Lian , W. A Foster Network Thermal Model for HEV/EV Battery Modeling IEEE Transactions on Industry Applications 47 4 1692 1699 2011 10.1109/TIA.2011.2155012
- Hu , X. , Lin , S. , Stanton , S. , and Lian , W. A State Space Thermal Model for HEV/EV Battery Modeling SAE Technical Paper 2011-01-1364 2011 https://doi.org/10.4271/2011-01-1364
- Hu , X. , Kshatriya , A. , Wang , X. , Ahrenholz , B. et al. A Thermal Electric Two-Way Coupled Battery Pack Model for an All Electric VW Motorsport Racer SAE Technical Paper 2019-01-0593 2019 https://doi.org/0.4271/2019-01-0593
- Pals , C.R. , and Newman , J. Thermal Modeling of the Lithium/Polymer Battery: I. Discharge Behavior of a Single Cell Journal of The Electrochemical Society 142 10 3274 3281 1995 10.1149/1.2049974
- Levenberg , K. A Method for the Solution of Certain Non-Linear Problems in Least Squares Quarterly of Applied Mathematics 2 2 164 168 July 1944 10.1090/qam/10666
- Marquardt , D.W. An Algorithm for Least Squares Estimation on Nonlinear Parameters SIAM J. Appl. Math. 11 2 431 441 June 1963 10.1137/0111030
- Hu , X. , Collins , L. , Stanton , S. , and Jiang , S. A Model Parameter Identification Method for Battery Applications SAE Technical Paper 2013-01-1529 2013 https://doi.org/10.4271/2013-01-1529