Battery_papers.bib

@conference{Domenico2008a,
  title = {Lithium-ion battery state of charge estimation with a kalman filter based on a electrochemical model.},
  author = {Domenico, D. and Di Fiengo, G. and Stefanopoulou, A.},
  booktitle = {Proc. IEEE International Conference on Control Applications CCA},
  year = {2008},
  month = {Sep},
  pages = {702-707},
  doi = {10.1109/CCA.2008.4629639},
  file = {papers_battery/CCA2008EKF.pdf},
  owner = {siegeljb},
  timestamp = {2009.10.14}
}
@article{Domenico2010,
  title = {Lithium-Ion Battery State of Charge and Critical Surface Charge Estimation Using an Electrochemical Model-Based Extended Kalman Filter},
  author = {Domenico Di Domenico and Anna Stefanopoulou and Giovanni Fiengo},
  journal = {Journal of Dynamic Systems, Measurement, and Control},
  year = {2010},
  number = {6},
  pages = {061302},
  volume = {132},
  doi = {10.1115/1.4002475},
  eid = {061302},
  keywords = {current density; differential equations; electrochemical electrodes; electrolytes; finite difference methods; Kalman filters; secondary cells},
  numpages = {11},
  publisher = {ASME},
  url = {http://link.aip.org/link/?JDS/132/061302/1}
}
@article{Kim2014,
  title = {The Estimation of Temperature Distribution in Cylindrical Battery Cells Under Unknown Cooling Conditions},
  author = {Kim, Y. and Mohan, S. and Siegel, J.B. and Stefanopoulou, A.G. and Ding, Y.},
  journal = {Control Systems Technology, IEEE Transactions on},
  year = {2014},
  number = {99},
  pages = {1-1},
  volume = {PP},
  abstract = {The estimation of temperature inside a battery cell requires accurate information about the cooling conditions even when the battery surface temperature is measured. This paper presents a model-based approach for estimating temperature distribution inside a cylindrical battery under unknown convective cooling conditions. A reduced-order thermal model using a polynomial approximation of the temperature profile inside the battery is used. A dual Kalman filter (DKF), a combination of a Kalman filter and an extended Kalman filter, is then applied for the identification of the convection coefficient and the estimation of the battery core temperature. The thermal properties are modeled by volume averaged lumped-values under the assumption of a homogeneous and isotropic volume. The model is parameterized and validated using experimental data from a 2.3 Ah 26,650 lithium-iron-phosphate battery cell with a forced-air convective cooling during hybrid electric vehicle drive cycles. Experimental results show that the proposed DKF-based estimation method can provide an accurate prediction of the core temperature under unknown cooling conditions by measuring battery current and voltage along with surface and ambient temperatures.},
  doi = {10.1109/TCST.2014.2309492},
  file = {papers_battery/06767083.pdf},
  issn = {1063-6536},
  keywords = {Dual Kalman filter (DKF);lithium ion (Li-ion) batteries;reduced-order model;state and parameter estimation;thermal modeling.},
  owner = {siegeljb},
  timestamp = {2014.06.12}
}
@article{Lin2013,
  title = {Online Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring},
  author = {Xinfan Lin and Perez, H.E. and Siegel, J.B. and Stefanopoulou, A.G. and Yonghua Li and Anderson, R.D. and Yi Ding and Castanier, M.P.},
  journal = {Control Systems Technology, IEEE Transactions on},
  year = {2013},
  month = {Sept},
  number = {5},
  pages = {1745-1755},
  volume = {21},
  abstract = {Lithium ion batteries should always be prevented from overheating and, hence, thermal monitoring is indispensable. Since only the surface temperature of the battery can be measured, a thermal model is needed to estimate the core temperature of the battery, which can be higher and more critical. In this paper, an online parameter identification scheme is designed for a cylindrical lithium ion battery. An adaptive observer of the core temperature is then designed based on the online parameterization methodology and the surface temperature measurement. A battery thermal model with constant internal resistance is explored first. The identification algorithm and the adaptive observer is validated with experiments on a 2.3Ah 26650 lithium iron phosphate/graphite battery. The methodology is later extended to address temperature-dependent internal resistance with nonuniform forgetting factors. The ability of the methodology to track the long-term variation of the internal resistance is beneficial for battery health monitoring.},
  doi = {10.1109/TCST.2012.2217143},
  file = {papers_battery/Xinfan_TCST_online_Parameterization.pdf},
  issn = {1063-6536},
  keywords = {condition monitoring;lithium;observers;parameter estimation;secondary cells;temperature measurement;26650 lithium iron phosphate-graphite;Li;adaptive observer;core temperature estimation;cylindrical lithium ion batteries;health monitoring;lumped thermal dynamics;online parameter identification;online parameterization;online parameterization methodology;overheating;surface temperature measurement;temperature-dependent internal resistance;thermal model;thermal monitoring;Adaptation models;Batteries;Battery charge measurement;Coolants;Heating;Resistance;Temperature measurement;Adaptive estimation;core temperature;lithium ion battery;state of health},
  owner = {siegeljb},
  timestamp = {2014.06.15}
}
@article{Lin2014,
  title = {A lumped-parameter electro-thermal model for cylindrical batteries},
  author = {Xinfan Lin and Hector E. Perez and Shankar Mohan and Jason B. Siegel and Anna G. Stefanopoulou and Yi Ding and Matthew P. Castanier},
  journal = {Journal of Power Sources},
  year = {2014},
  number = {0},
  pages = {1 - 11},
  volume = {257},
  abstract = {Abstract Combining several existing lumped-parameter models, this paper presents an electro-thermal model for cylindrical batteries. The model consists of two sub-models, an equivalent-circuit electrical model and a two-state thermal model which are coupled through heat generation and temperature dependence of the electrical parameters. The computationally efficient 5-state model captures the state of charge (SOC), terminal voltage, surface temperature and the often neglected core temperature of a battery for wide range of operating conditions. The proposed parameterization scheme allows separate identification of the electric and thermal sub-models, greatly reducing the complexity of the parameterization process. The methodology is applied to a LiFePO4/graphite battery. Comparison with the electrochemical impedance spectroscopy data clarifies the frequency range of the model fidelity. The model is further validated with two drive-cycle tests, covering \{SOC\} range 25%–100%, temperature 5 °C–38 °C, and maximum C-rate of 22C.},
  doi = {10.1016/j.jpowsour.2014.01.097},
  file = {papers_battery/Xinfan_JPS.pdf},
  issn = {0378-7753},
  keywords = {Lithium ion batteries},
  owner = {siegeljb},
  timestamp = {2014.06.15}
}
@conference{Lin2011b,
  title = {Parameterization and Observability Analysis of Scalable Battery Clusters for Onboard Thermal Management},
  author = {Xinfan Lin and Hector E. Perez and Jason B. Siegel and Anna G. Stefanopoulou and Yi Ding and Matthew P. Castanier},
  booktitle = {Les Rencontres Scientifiques d’IFP Energies nouvelles – Int. Scient. Conf. on hybrid and electric vehicles – RHEVE 2011
6-7 December 2011 - Proceedings},
  year = {2011},
  owner = {Admin},
  timestamp = {2012.06.24},
  url = {http://rs-rheve.com/images/22_lin_rheve2011.pdf}
}
@article{Lin2011,
  title = {State of Charge Estimation Error due to Parameter Mismatch in a Generalized Explicit Lithium Ion Battery Model},
  author = {Xinfan Lin and Anna Stefanopoulou and Patricia Laskowsky and Jim Freudenberg and Yonghua Li and R. Dyche Anderson},
  journal = {ASME Conference Proceedings},
  year = {2011},
  number = {54754},
  pages = {393-400},
  volume = {2011},
  doi = {10.1115/DSCC2011-6193},
  publisher = {ASME},
  url = {http://link.aip.org/link/abstract/ASMECP/v2011/i54754/p393/s1}
}
@conference{Lin2012,
  title = {Quadruple Adaptive Observer of the Core Temperature in Cylindrical Li-Ion Batteries and Their Health Monitoring},
  author = {Xinfan Lin and Anna G. Stefanopoulou and Hector E. Perez and Jason B. Siegel and Yonghua Li and R. Dyche Anderson},
  booktitle = {2012 American Control Conference (ACC), June 27 - 29 2012},
  year = {2012},
  file = {papers_battery/thermal_acc_2012.pdf::},
  owner = {Admin},
  timestamp = {2012.06.25}
}
@article{Siegel01012013,
  title = {Parameterization and Observability Analysis of Scalable Battery
 Clusters for Onboard Thermal Management},
  author = {{Lin, Xinfan} and {Fu, Huan} and {Perez, Hector E.} and {Siegel, Jason B.} and {Stefanopoulou, Anna G.} and {Ding, Yi} and {Castanier, Matthew P.}},
  journal = {Oil Gas Sci. Technol. - Rev. IFP Energies
 nouvelles},
  year = {2013},
  number = {1},
  pages = {165-178},
  volume = {68},
  doi = {10.2516/ogst/2012075},
  file = {papers_battery/battery_thermal_XinfanLin.pdf},
  owner = {choonhun},
  timestamp = {2014.06.16}
}
@inproceedings{Moura2010,
  title = {Education on vehicle electrification: Battery Systems, Fuel Cells, and Hydrogen},
  author = {Moura, S.J. and Siegel, J.B. and Siegel, D.J. and Fathy, H.K. and Stefanopoulou, A.G.},
  booktitle = {Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE},
  year = {2010},
  month = {sept.},
  pages = {1 -6},
  doi = {10.1109/VPPC.2010.5729150},
  file = {papers_battery/VPPC10-MEx99-FINAL.pdf},
  keywords = {Battery Systems amp; Control;Fuel Cell Vehicles amp; Hydrogen Infrastructure;H;PEM fuel cell;University of Michigan;battery systems;distance learning students;educate engineers;electrochemical propulsion systems;electrochemical-based models;fuel cells;hydrogen production pathways;hydrogen storage systems;model reduction techniques;sustainable transportation systems;vehicle electrification education;electric vehicles;electronic engineering education;fuel cells;hydrogen;power system control;power system simulation;}
}
@article{Oh2014,
  title = {Rate dependence of swelling in lithium-ion cells },
  author = {Ki-Yong Oh and Jason B. Siegel and Lynn Secondo and Sun Ung Kim and Nassim A. Samad and Jiawei Qin and Dyche Anderson and Krishna Garikipati and Aaron Knobloch and Bogdan I. Epureanu and Charles W. Monroe and Anna Stefanopoulou},
  journal = {Journal of Power Sources},
  year = {2014},
  number = {0},
  pages = {197 - 202},
  volume = {267},
  abstract = {Abstract Swelling of a commercial 5 Ah lithium-ion cell with a nickel/manganese/cobalt-oxide cathode is investigated as a function of the charge state and the charge/discharge rate. In combination with sensitive displacement measurements, knowledge of the electrode configuration within this prismatic cell's interior allows macroscopic deformations of the casing to be correlated to electrochemical and mechanical transformations in individual anode/separator/cathode layers. Thermal expansion and interior charge state are both found to cause significant swelling. At low rates, where thermal expansion is negligible, the electrode sandwich dilates by as much as 1.5% as the charge state swings from 0% to 100% because of lithium-ion intercalation. At high rates a comparably large residual swelling was observed at the end of discharge. Thermal expansion caused by joule heating at high discharge rate results in battery swelling. The changes in displacement with respect to capacity at low rate correlate well with the potential changes known to accompany phase transitions in the electrode materials. Although the potential response changes minimally with the C-rate, the extent of swelling varies significantly, suggesting that measurements of swelling may provide a sensitive gauge for characterizing dynamic operating states.},
  doi = {http://dx.doi.org/10.1016/j.jpowsour.2014.05.039},
  file = {papers_battery\1-s2.0-S0378775314007228-main.pdf},
  issn = {0378-7753},
  keywords = {Lithium-ion battery},
  owner = {choonhun},
  timestamp = {2014.06.17},
  url = {http://www.sciencedirect.com/science/article/pii/S0378775314007228}
}
@conference{Perez2012,
  title = {Parameterization and Validation of an Integrated Electro-Thermal LFP Battery Model},
  author = {Perez, Hector E and Siegel, Jason B and Lin, Xinfan and Ding, Yi and Castanier, Matthew P},
  booktitle = {2012 ASME Dynamic Systems Control Conference, Oct 2012},
  year = {2012},
  file = {papers_battery/ASME_DSCC_2012_HEP_V15.pdf},
  owner = {Admin},
  timestamp = {2012.06.24}
}
@conference{Siegel2012,
  title = {On the Accuracy and Simplifications of Battery Models Using in Situ Measurements of Lithium Concentration in Operational Cells},
  author = {Jason B. Siegel and Xinfan Lin and Anna G. Stefanopoulou},
  booktitle = {in Proceedings of the 2012 American Control Conference, 2012},
  year = {2012},
  file = {papers_battery/2012ACC_1558_FI.pdf},
  owner = {Admin},
  timestamp = {2012.06.25}
}
@article{Siegel2011,
  title = {Neutron Imaging of Lithium Concentration in LFP Pouch Cell Battery},
  author = {Jason B. Siegel and Xinfan Lin and Anna G. Stefanopoulou and Daniel S. Hussey and David L. Jacobson and David Gorsich},
  journal = {Journal of The Electrochemical Society},
  year = {2011},
  number = {5},
  pages = {A523-A529},
  volume = {158},
  __markedentry = {[Admin]},
  doi = {10.1149/1.3566341},
  keywords = {electrochemical electrodes; lithium; neutron radiography; secondary cells},
  owner = {Admin},
  publisher = {ECS},
  timestamp = {2011.03.25},
  url = {http://link.aip.org/link/?JES/158/A523/1}
}
@article{Siege2013,
  title = {Expansion of Lithium Ion Pouch Cell Batteries: Observations from Neutron Imaging},
  author = {Siegel, Jason B. and Stefanopoulou, Anna G. and Hagans, Patrick and Ding, Yi and Gorsich, David},
  journal = {Journal of The Electrochemical Society},
  year = {2013},
  number = {8},
  pages = {A1031-A1038},
  volume = {160},
  abstract = {The expansion of battery material during lithium intercalation is a concern for the cycle life and performance of lithium ion batteries. In this paper, electrode expansion is quantified from in situ neutron images taken during cycling of pouch cells with lithium iron phosphate positive and graphite negative electrodes. Apart from confirming the overall expansion as a function of state of charge and the correlation with graphite transitions that have been observed in previous dilatometer experiments we show the spatial distribution of the expansion along the individual electrodes of the pouch cell. The experiments were performed on two cells with different electrode areas during low and high c-rate operation. The measurements show how charging straightened the cell layers that were slightly curved by handling of the pouch cell during setup of the experiment. Subsequent high charging rate, that exceeded the suggested operating voltage limits, was shown to have a strong influence on the observed expansion. Specifically, during high-rate cycling, the battery showed a much larger and irreversible expansion of around 1.5% which was correlated with a 4% loss in capacity over 21 cycles.},
  doi = {10.1149/2.011308jes},
  eprint = {http://jes.ecsdl.org/content/160/8/A1031.full.pdf+html},
  file = {papers_battery\\A1031.full.pdf},
  url = {http://jes.ecsdl.org/content/160/8/A1031.abstract}
}
@conference{Speltino2010,
  title = {Cell Equalization In Battery Stacks Through State Of Charge Estimation Polling},
  author = {Speltino, Carmelo and Di Domenico, Domenico and Fiengo, Giovanni and Stefanopoulou, Anna G.},
  booktitle = {American Control Conference},
  year = {2010},
  file = {papers_battery/ACC10BMSsubm.pdf},
  owner = {Admin},
  timestamp = {2009.10.23}
}
@conference{Speltino2009,
  title = {Comparison of Reduced Order Lithium-Ion Battery Models for Control Applications},
  author = {Speltino, Carmelo and Di Domenico, Domenico and Fiengo, Giovanni and Stefanopoulou, Anna G.},
  booktitle = {Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference},
  year = {2009},
  month = {October},
  file = {papers_battery/CDC09BatModComp.pdf},
  owner = {siegeljb},
  timestamp = {2009.10.14}
}
@conference{Speltino2009a,
  title = {Experimental Validation of a Lithium-Ion Battery State of Charge Estimation with an Extended Kalman Filter: Part I},
  author = {Speltino, Carmelo and Domenico, Domenico Di and Fiengo, Giovanni and Stefanopoulou, Anna G.},
  booktitle = {The European Control Conference},
  year = {2009},
  file = {papers_battery/ECC09EKF.pdf},
  owner = {siegeljb},
  timestamp = {2009.10.14}
}
@conference{Speltino2009b,
  title = {On the Experimental Identification of an Electrochemical Model of a Lithium-Ion Battery: Part II},
  author = {Speltino, Carmelo and Domenico, Domenico Di and Fiengo, Giovanni and Stefanopoulou, Anna G.},
  booktitle = {The European Control Conference},
  year = {2009},
  file = {papers_battery/ECC09ID.pdf},
  owner = {siegeljb},
  timestamp = {2009.10.14}
}
@conference{Speltion2011,
  title = {Parameterization and Estimation of Surrogate Critical Surface Concentration in Lithium-Ion Batteries},
  author = {Speltion, C. and Stefanopoulou, A. G. and Fiengo, G.},
  booktitle = {Special Issue on
Int’l Journal of Vehicle Dynamics, 01 MAR 2011},
  year = {2011},
  owner = {Admin},
  timestamp = {2012.06.24},
  url = {http://www.dtic.mil/cgi-bin/GetTRDoc?Location=U2&doc=GetTRDoc.pdf&AD=ADA541411}
}
@article{Stefanopoulou2012,
  title = {Neutron Imaging for Li-ion Batteries},
  author = {Anna Stefanopoulou},
  journal = {18th Annual Automotive Reseaerch Center Conference},
  year = {2012},
  file = {papers_battery/1-6_Stefanopoulou_NIBatt-public.pdf},
  owner = {Admin},
  timestamp = {2012.06.25}
}
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