This content is not included in your SAE MOBILUS subscription, or you are not logged in.
CAE Method for linking electrochemical Lithium-ion models into integrated system-level models of electrified vehicles
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Historically, electrical-equivalent modeling of battery systems has been the preferred approach of engineers when modeling hybrid and electric vehicles at the system level. This approach has provided modeling engineers good boundary conditions for batteries, with accurate terminal voltage and state of charge (SOC) calculations; however, it fails to provide insight into the electrochemical processes taking place in their Lithium-ion cells, necessary to optimize control algorithms and predict aging mechanisms within the battery. In addition, the use of predictive battery models that simulate electrochemical mechanisms empowers engineers with the ability to predict the performance of a Lithium-ion cell without requiring cells to be manufactured. If hardware is already available and tested, the use of physics-based battery models allows the simulation of the cell to be done well beyond the conditions at which the battery has been tested. Thus battery testing and characterization effort is reduced significantly without compromising results accuracy. This paper proposes a method of linking electrochemical Lithium-ion models of battery systems with multi-domain (electrical, mechanical, thermal, and flow domains) system-level models of hybrid and battery electric vehicles. The resulting technology provides accurate battery state and performance prediction at minor additional computation cost and links cell design parameters with vehicle performance and energy management analysis.
|Technical Paper||Development of Lithium-Ion-Battery System for Hybrid System|
|Technical Paper||Thermal Characteristics of Electric Vehicle Batteries|
|Technical Paper||Li-Ion Battery Pack Characterization and Equivalent Electrical Circuit Model Development|
CitationWimmer, J., Papadimitriou, I., and Luo, G., "CAE Method for linking electrochemical Lithium-ion models into integrated system-level models of electrified vehicles," SAE Technical Paper 2018-01-1414, 2018, https://doi.org/10.4271/2018-01-1414.
Data Sets - Support Documents
|Unnamed Dataset 1|
|Unnamed Dataset 2|
|Unnamed Dataset 3|
|Unnamed Dataset 4|
|Unnamed Dataset 5|
- Seaman , A. , Dao , T. , and McPhee , J. A Survey of Mathematics-based Equivalent-Circuit and Electrochemical Battery Models for Hybrid and Electric Vehicle Simulation Journal of Power Sources 256 410 423 2014 10.1016/j.jpowsour.2014.01.057
- Zeman , J. , Papadimitriou , I. , Watanabe , K. , Masaaki , K. et al. Modeling and Optimization of Plug-In Hybrid Electric Vehicle Fuel Economy SAE Technical Paper 2012-01-1018 2012 10.4271/2012-01-1018
- Doyle , M. , Fuller , T.F. , and Newman , J. Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell Journal of the Electrochemical Society 140 6 1526 1533 1993 10.1149/1.2221597
- Gu , W.B. and Wang , C.Y. Thermal and Electrochemical Coupled Modeling of a Lithium Ion Cell Journal of the Electrochemical Society 147 8 2910 2922 2000 10.1149/1.1393625
- Srinivasan , V. and Wang , C.Y. Analysis of Electrochemical and Thermal Behavior of Li-Ion Cells Journal of the Electrochemical Society 150 1 A98 A106 2003 10.1149/1.1526512
- Smith , K. and Wang , C.Y. Power and Thermal Characterization of a Lithium-Ion Battery Pack for Hybrid-Electric Vehicles Journal of Power Sources 160 662 673 2006 10.1016/j.jpowsour.2006.01.038
- Bizeray , A.M. , Zhao , S. , Duncan , S.R. , and Howey , D.A. Lithium-Ion Battery Thermal-Electrochemical Model-Based State Estimation Using Orthogonal Collocation and a Modified Extended Kalman Filter Journal of Power Sources 296 400 412 2015 10.1016/j.jpowsour.2015.07.019
- Hasan , M. , Chen , C. , Shaffer , C. , and Mukherjee , P. Analysis of the Implications of Rapid Charging on Lithium-Ion Battery Performance Journal of the Electrochemical Society 162 7 A1382 A1395 10.1149/2.0871507jes