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Full Battery Pack Modelling: An Electrical Sub-Model Using an EECM for HEV Applications
Technical Paper
2019-01-1203
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
With a transition towards electric vehicles for the transport sector, there will be greater reliance put upon battery packs; therefore, battery pack modelling becomes crucial during the design of the vehicle. Accurate battery pack modelling allows for: the simulation of the pack and vehicle, more informed decisions made during the design process, reduced testing costs, and implementation of superior control systems. To create the battery cell model using MATLAB/Simulink, an electrical equivalent circuit model was selected due to its balance between accuracy and complexity. The model can predict the state of charge and terminal voltage from a current input. A battery string model was then developed that considered the cell-to-cell variability due to manufacturing defects. Finally, a full battery pack model was created, capable of modelling the different currents that each string experiences due to the varied internal resistance. The model was then validated with real-life data from the “Hill Route” section of the First Group Millbrook Fuel Economy Test Version 5.0 drive cycle of a mild hybrid electric bus. Results showed a strong correlation with the measured data and both the state of charge and terminal voltage simulations of the model. For the string model, results showed that there was a slight variance in the state of charge between cells in a string with varied capacities. However, terminal voltages between cells did not vary significantly with variances in internal resistance. Future work includes the creation of a thermal sub-model and an ageing sub-model, which considers whether the location of a cell within a pack has a correlation with its degradation. These sub-models will then be integrated and used as a full battery pack model.
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Rolt, R., Douglas, R., Nockemann, P., and Best, R., "Full Battery Pack Modelling: An Electrical Sub-Model Using an EECM for HEV Applications," SAE Technical Paper 2019-01-1203, 2019, https://doi.org/10.4271/2019-01-1203.Data Sets - Support Documents
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| Unnamed Dataset 1 |
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References
- Department for Business Energy & Industrial Strategy 2018
- Zheng , L. , Zhang , L. , Zhu , J. , Wang , G. , and Jiang , J. Co-Estimation of State-of-Charge, Capacity and Resistance for Lithium-Ion Batteries Based on a High-Fidelity Electrochemical Model Appl. Energy 180 424 434 2016
- Jokar , A. , Rajabloo , B. , Désilets , M. , and Lacroix , M. Review of Simplified Pseudo-Two-Dimensional Models of Lithium-Ion Batteries J. Power Sources 327 44 55 2016
- Santhanagopalan , S. , Guo , Q. , Ramadass , P. , and White , R.E. Review of Models for Predicting the Cycling Performance of Lithium Ion Batteries J. Power Sources 156 2 620 628 2006
- Pramanik , S. and Anwar , S. Electrochemical Model Based Charge Optimization for Lithium-Ion Batteries J. Power Sources 313 164 177 2016
- Nelles , O. Neural Networks Nonlinear System Identifcation Berlin Springer 2001 785
- Andre , D. , Nuhic , A. , Soczka-Guth , T. , and Sauer , D.U. Comparative Study of a Structured Neural Network and an Extended Kalman Filter for State of Health Determination of Lithium-Ion Batteries in Hybrid Electric Vehicles Eng. Appl. Artif. Intell. 26 3 951 961 2013
- Dang , X. , Yan , L. , Xu , K. , Wu , X. et al. Open-Circuit Voltage-Based State of Charge Estimation of Lithium-ion Battery Using Dual Neural Network Fusion Battery Model Electrochim. Acta 188 356 366 2016
- Nikolian , A. , De Hoog , J. , Fleurbay , K. , Timmermans , J. et al. Classification of Electric Modelling and Characterization Methods of Lithium-Ion Batteries for Vehicle Applications Eur. Electr. Veh. Congr. 2014 1 15 2016
- Nikolian , A. et al. Complete Cell-Level Lithium-Ion Electrical ECM Model for Different Chemistries (NMC, LFP, LTO) and Temperatures (−5 °C to 45 °C) - Optimized Modelling Techniques Int. J. Electr. Power Energy Syst. 98 December 2017 133 146 2018
- Jackey , R. , Saginaw , M. , Sanghvi , P. , Gazzarri , J. et al. Battery Model Parameter Estimation Using a Layered Technique : An Example Using a Lithium Iron Phosphate Cell MathWorks 1 14 2013
- Nejad , S. , Gladwin , D.T. , and Stone , D.A. A Systematic Review of Lumped-Parameter Equivalent Circuit Models for Real-Time Estimation of Lithium-Ion Battery States J. Power Sources 316 183 196 2016
- Hu , X. , Li , S. , and Peng , H. A Comparative Study of Equivalent Circuit Models for Li-Ion Batteries J. Power Sources 198 359 367 2012
- Van Der Ven , A. , Bhattacharya , J. , and Belak , A.A. Understanding Li Diffusion in Li-Intercalation Compounds Acc. Chem. Res. 46 5 1216 1225 2013
- Roscher , M.A. , Bohlen , O. , and Vetter , J. OCV Hysteresis in Li-Ion Batteries Including Two-Phase Transition Materials Int. J. Electrochem. 2011 1 6 2011
- Rahimi Eichi H. and Chow M. Y. Modeling and Analysis of Battery Hysteresis Effects 2012 IEEE Energy Convers. Congr. Expo. ECCE 2012 4479 4486
- Roscher , M.A. and Sauer , D.U. Dynamic Electric Behavior and Open-Circuit-Voltage Modeling of LiFePO 4-Based Lithium Ion Secondary Batteries J. Power Sources 196 1 331 336 2011
- Plett , G.L. Extended Kalman Filtering for Battery Management Systems of LiPB-Based HEV Battery Packs-Part 2. Modeling and Identification J. Power Sources 134 2 262 276 2004
- Zhong , L. , Zhang , C. , He , Y. , and Chen , Z. A Method for the Estimation of the Battery Pack State of Charge Based on In-Pack Cells Uniformity Analysis Appl. Energy 113 558 564 2014
- Gogoana , R. , Pinson , M.B. , Bazant , M.Z. , and Sarma , S.E. Internal Resistance Matching for Parallel-Connected Lithium-Ion Cells and Impacts on Battery Pack Cycle Life J. Power Sources 252 8 13 2014
- Gong X. , Xiong R. , and Mi C.C. Study of the Characteristics of Battery Packs in Electric Vehicles with Parallel-Connected Lithium- Ion Battery Cells Conf. Proc. - IEEE Appl. Power Electron. Conf. Expo. - APEC 3218 3224 2014
- Bruen , T. and Marco , J. Modelling and Experimental Evaluation of Parallel Connected Lithium Ion Cells for an Electric Vehicle Battery System J. Power Sources 310 91 101 2016
- Sen , C. and Kar , N.C. Battery Pack Modeling for the Analysis of Battery Management System of a Hybrid Electric Vehicle 2009 IEEE Veh. Power Propuls. Conf. 207 212 2009
- Yurkovich , B.J. and Guezennec , Y. Lithium Ion Dynamic Battery Pack Model and Simulation for Automotive Applications ASME Dyn. Syst. Control Conf. 1 8 2009
- Kenney , B. , Darcovich , K. , MacNeil , D.D. , and Davidson , I.J. Modelling the Impact of Variations in Electrode Manufacturing on Lithium-Ion Battery Modules J. Power Sources 213 391 401 2012
- Dubarry , M. , Vuillaume , N. , and Liaw , B.Y. From Single Cell Model to Battery Pack Simulation for Li-Ion Batteries J. Power Sources 186 2 500 507 2009
- Cordoba-Arenas , A. , Onori , S. , and Rizzoni , G. A Control-Oriented Lithium-Ion Battery Pack Model for Plug-In Hybrid Electric Vehicle Cycle-Life Studies and System Design with Consideration of Health Management J. Power Sources 279 791 808 2015