This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Online Capacity Estimation for Automotive Lithium-Ion Cells Incorporating Temperature-Variation and Cell-Aging
Technical Paper
2017-01-1191
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
This work provides a new method for estimating the capacity of an automotive Lithium-Ion cell under real application conditions present in Hybrid and Electrical vehicles. Reliable online capacity estimation is needed for accurate prediction of the remaining electrical driving range. This is a crucial criterion for customer acceptance of Electrical vehicles. Dynamic excitations of real driving cycles, temperature variation as well as the variation of electrical battery behavior with capacity and resistance degradation are challenges that need to be overcome.
For this paper, a long-term aging study on 120 automotive Lithium-Ion cells is evaluated with respect to the correlation between electrical cell behavior, temperature and the cell capacity over the complete cell lifetime. The results are used for a dynamic state-space model which provides the current-voltage relationship valid for all aging states of the battery. The dependence of cell capacity on ambient temperature variation and charge/discharge rate is also analyzed, as well as open-circuit-voltage characteristics with fading capacity.
Using this model, a novel online estimation approach for the cell capacity based on a Quasi-Monte-Carlo-method with multiple Kalman-Filters in parallel is presented. It allows accurate determination of the actual capacity under arbitrary dynamic excitation at different ambient temperatures and unknown aging condition. The new estimation approach offers significant improvements over existing methods due to the inherent separation between long-term estimation of capacity fade and short-term effects of resistance and State-of-Charge.
The method has been proven with real-life driving cycles and offers enhanced capacity and State-of-Charge estimation under full application conditions.
Recommended Content
Authors
Citation
Wesskamp, P., Reitemeyer, S., and Melbert, J., "Online Capacity Estimation for Automotive Lithium-Ion Cells Incorporating Temperature-Variation and Cell-Aging," SAE Technical Paper 2017-01-1191, 2017, https://doi.org/10.4271/2017-01-1191.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 |
Also In
References
- Farmann , A. , Waag , W. , Marongiu , A. , and Sauer , D. U. Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles Journal of Power Sources 281 114 130 2015 10.1016/j.jpowsour.2015.01.129
- Pei , L. , Wang , T. , Lu , R. , and Zhu , C. Development of a voltage relaxation model for rapid open-circuit voltage prediction in lithium-ion batteries Journal of Power Sources 253 412 418 2014 10.1016/j.jpowsour.2013.12.083
- Waag , W. , and Sauer , D. U. Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination Applied Energy 111 416 427 2013 10.1016/j.apenergy.2013.05.001
- Feng , F. , Lu , R. , and Zhu , C. A Combined State of Charge Estimation Method for Lithium-Ion Batteries Used in a Wide Ambient Temperature Range Energies 7 5 3004 3032 2014 10.3390/en7053004
- Kim , J. , and Cho , B. H. Pattern Recognition for Temperature-Dependent State-of-Charge/Capacity Estimation of a Li-ion Cell IEEE Trans. Energy Convers 28 1 1 11 2013 10.1109/TEC.2012.2222884
- Marcicki , J. , Canova , M. , Conlisk , A. T. , and Rizzoni , G. Design and parametrization analysis of a reduced-order electrochemical model of graphite/LiFePO4 cells for SOC/SOH estimation Journal of Power Sources 237 310 324 2013 10.1016/j.jpowsour.2012.12.120
- Dubarry , M. , Truchot , C. , and Liaw , B. Y. Synthesize battery degradation modes via a diagnostic and prognostic model Journal of Power Sources 219 204 216 2012 10.1016/j.jpowsour.2012.07.016
- Marongiu , A. , Nlandi , N. , Rong , Y. , and Sauer , D. U. On-board capacity estimation of lithium iron phosphate batteries by means of half-cell curves Journal of Power Sources 324 158 169 2016 10.1016/j.jpowsour.2016.05.041
- Lavigne , L. , Sabatier , J. , Francisco , J. M. , Guillemard , F. , and Noury , A. Lithium-ion Open Circuit Voltage (OCV) curve modelling and its ageing adjustment Journal of Power Sources 324 694 703 2016 10.1016/j.jpowsour.2016.05.121
- Wesskamp , P. , Fischnaller , M. , Lohmann , N. , Melbert , J. Improved SOC Estimation for Lithium-Ion Cells Valid for Different Temperatures and States-of-Health SAE Technical Paper 2013-01-1537 2013 10.4271/2013-01-1537
- Lee , S. , Kim , J. , Lee , J. , and Cho , B. H. State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge Journal of Power Sources 185 2 1367 1373 2008 10.1016/j.jpowsour.2008.08.103
- Hu , C. , Youn , B. D. , and Chung , J. A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation Applied Energy 92 694 704 2012 10.1016/j.apenergy.2011.08.002
- Zou , Y. , Hu , X. , Ma , H. , and Li , S. E. Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles Journal of Power Sources 273 793 803 2015 10.1016/j.jpowsour.2014.09.146
- Weßkamp , P. , Haußmann , P. , and Melbert , J. 600-A Test System for Aging Analysis of Automotive Li-Ion Cells With High Resolution and Wide Bandwidth IEEE Trans. Instrum. Meas 65 7 1651 1660 2016 10.1109/TIM.2016.2534379
- Birkl , C. R. , McTurk , E. , Roberts , M. R. , Bruce , P. G. , and Howey , D. A. A Parametric Open Circuit Voltage Model for Lithium Ion Batteries J. Electrochem. Soc. 162 12 A2271 A2280 2015 10.1149/2.0331512jes
- Plett , G. L. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs Journal of Power Sources 134 2 252 261 2004 10.1016/j.jpowsour.2004.02.031
- Rosca , B. , Kessels , J. , Bergveld , H. J. , and van den Bosch , P. On-line parameter, state-of-charge and aging estimation of Li-ion batteries 2012 IEEE Vehicle Power and Propulsion Conference (VPPC) 1122 1127