Battery_papers.bib

@conference{Domenico2008a,
  author = {Domenico, D. and Di Fiengo, G. and Stefanopoulou, A.},
  title = {Lithium-ion battery state of charge estimation with a kalman filter
	based on a electrochemical model.},
  booktitle = {Proc. IEEE International Conference on Control Applications CCA},
  year = {2008},
  pages = {702-707},
  month = {Sep},
  doi = {10.1109/CCA.2008.4629639},
  file = {papers_battery/CCA2008EKF.pdf},
  owner = {siegeljb},
  timestamp = {2009.10.14}
}
@article{Domenico2010,
  author = {Domenico Di Domenico and Anna Stefanopoulou and Giovanni Fiengo},
  title = {Lithium-Ion Battery State of Charge and Critical Surface Charge Estimation
	Using an Electrochemical Model-Based Extended Kalman Filter},
  journal = {Journal of Dynamic Systems, Measurement, and Control},
  year = {2010},
  volume = {132},
  pages = {061302},
  number = {6},
  eid = {061302},
  doi = {10.1115/1.4002475},
  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,
  author = {Kim, Y. and Mohan, S. and Siegel, J.B. and Stefanopoulou, A.G. and
	Ding, Y.},
  title = {The Estimation of Temperature Distribution in Cylindrical Battery
	Cells Under Unknown Cooling Conditions},
  journal = {Control Systems Technology, IEEE Transactions on},
  year = {2014},
  volume = {PP},
  pages = {1-1},
  number = {99},
  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}
}
@conference{Kim2013DSCC,
  author = {Kim, Youngki and Mohan, Shankar and Siegel, Jason B. and Stefanopoulou,
	Anna G.},
  title = {Maximum Power Estimation of Lithium-Ion Batteries Accounting for
	Thermal and Electrical Constraints},
  booktitle = {ASME 2013 Dynamic Systems and Control Conference},
  year = {2013},
  number = {DSCC2013-3935},
  doi = {10.1115/DSCC2013-3935},
  file = {papers_battery/V002T23A003-DSCC2013-3935.pdf},
  owner = {siegeljb},
  timestamp = {2015.01.09},
  url = {http://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=1841254}
}
@article{Lin2013,
  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.},
  title = {Online Parameterization of Lumped Thermal Dynamics in Cylindrical
	Lithium Ion Batteries for Core Temperature Estimation and Health
	Monitoring},
  journal = {Control Systems Technology, IEEE Transactions on},
  year = {2013},
  volume = {21},
  pages = {1745-1755},
  number = {5},
  month = {Sept},
  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,
  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},
  title = {A lumped-parameter electro-thermal model for cylindrical batteries},
  journal = {Journal of Power Sources},
  year = {2014},
  volume = {257},
  pages = {1 - 11},
  number = {0},
  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,
  author = {Xinfan Lin and Hector E. Perez and Jason B. Siegel and Anna G. Stefanopoulou
	and Yi Ding and Matthew P. Castanier},
  title = {Parameterization and Observability Analysis of Scalable Battery Clusters
	for Onboard Thermal Management},
  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,
  author = {Xinfan Lin and Anna Stefanopoulou and Patricia Laskowsky and Jim
	Freudenberg and Yonghua Li and R. Dyche Anderson},
  title = {State of Charge Estimation Error due to Parameter Mismatch in a Generalized
	Explicit Lithium Ion Battery Model},
  journal = {ASME Conference Proceedings},
  year = {2011},
  volume = {2011},
  pages = {393-400},
  number = {54754},
  doi = {10.1115/DSCC2011-6193},
  publisher = {ASME},
  url = {http://link.aip.org/link/abstract/ASMECP/v2011/i54754/p393/s1}
}
@conference{Lin2012,
  author = {Xinfan Lin and Anna G. Stefanopoulou and Hector E. Perez and Jason
	B. Siegel and Yonghua Li and R. Dyche Anderson},
  title = {Quadruple Adaptive Observer of the Core Temperature in Cylindrical
	Li-Ion Batteries and Their Health Monitoring},
  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,
  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.}},
  title = {Parameterization and Observability Analysis of Scalable Battery Clusters
	for Onboard Thermal Management},
  journal = {Oil Gas Sci. Technol. - Rev. IFP Energies nouvelles},
  year = {2013},
  volume = {68},
  pages = {165-178},
  number = {1},
  doi = {10.2516/ogst/2012075},
  file = {papers_battery/battery_thermal_XinfanLin.pdf},
  owner = {choonhun},
  timestamp = {2014.06.16}
}
@article{Mohan01012014,
  author = {Mohan, Shankar and Kim, Youngki and Siegel, Jason B. and Samad, Nassim
	A. and Stefanopoulou, Anna G.},
  title = {A Phenomenological Model of Bulk Force in a Li-Ion Battery Pack and
	Its Application to State of Charge Estimation},
  journal = {Journal of The Electrochemical Society},
  year = {2014},
  volume = {161},
  pages = {A2222-A2231},
  number = {14},
  abstract = {A phenomenological model of the bulk force exerted by a lithium ion
	cell during various charge, discharge, and temperature operating
	conditions is developed. The measured and modeled force resembles
	the carbon expansion behavior associated with the phase changes during
	intercalation, as there are ranges of state of charge (SOC) with
	a gradual force increase and ranges of SOC with very small change
	in force. The model includes the influence of temperature on the
	observed force capturing the underlying thermal expansion phenomena.
	Moreover the model is capable of describing the changes in force
	during thermal transients, when internal battery heating due to high
	C-rates or rapid changes in the ambient temperature, which create
	a mismatch in the temperature of the cell and the holding fixture.
	It is finally shown that the bulk force model can be very useful
	for a more accurate and robust SOC estimation based on fusing information
	from voltage and force (or pressure) measurements.},
  doi = {10.1149/2.0841414jes},
  eprint = {http://jes.ecsdl.org/content/161/14/A2222.full.pdf+html},
  url = {http://jes.ecsdl.org/content/161/14/A2222.abstract}
}
@inproceedings{Moura2010,
  author = {Moura, S.J. and Siegel, J.B. and Siegel, D.J. and Fathy, H.K. and
	Stefanopoulou, A.G.},
  title = {Education on vehicle electrification: Battery Systems, Fuel Cells,
	and Hydrogen},
  booktitle = {Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE},
  year = {2010},
  pages = {1 -6},
  month = {sept.},
  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,
  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},
  title = {Rate dependence of swelling in lithium-ion cells },
  journal = {Journal of Power Sources},
  year = {2014},
  volume = {267},
  pages = {197 - 202},
  number = {0},
  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,
  author = {Perez, Hector E and Siegel, Jason B and Lin, Xinfan and Ding, Yi
	and Castanier, Matthew P},
  title = {Parameterization and Validation of an Integrated Electro-Thermal
	LFP Battery Model},
  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,
  author = {Jason B. Siegel and Xinfan Lin and Anna G. Stefanopoulou},
  title = {On the Accuracy and Simplifications of Battery Models Using in Situ
	Measurements of Lithium Concentration in Operational Cells},
  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,
  author = {Jason B. Siegel and Xinfan Lin and Anna G. Stefanopoulou and Daniel
	S. Hussey and David L. Jacobson and David Gorsich},
  title = {Neutron Imaging of Lithium Concentration in LFP Pouch Cell Battery},
  journal = {Journal of The Electrochemical Society},
  year = {2011},
  volume = {158},
  pages = {A523-A529},
  number = {5},
  __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,
  author = {Siegel, Jason B. and Stefanopoulou, Anna G. and Hagans, Patrick and
	Ding, Yi and Gorsich, David},
  title = {Expansion of Lithium Ion Pouch Cell Batteries: Observations from
	Neutron Imaging},
  journal = {Journal of The Electrochemical Society},
  year = {2013},
  volume = {160},
  pages = {A1031-A1038},
  number = {8},
  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,
  author = {Speltino, Carmelo and Di Domenico, Domenico and Fiengo, Giovanni
	and Stefanopoulou, Anna G.},
  title = {Cell Equalization In Battery Stacks Through State Of Charge Estimation
	Polling},
  booktitle = {American Control Conference},
  year = {2010},
  file = {papers_battery/ACC10BMSsubm.pdf},
  owner = {Admin},
  timestamp = {2009.10.23}
}
@conference{Speltino2009,
  author = {Speltino, Carmelo and Di Domenico, Domenico and Fiengo, Giovanni
	and Stefanopoulou, Anna G.},
  title = {Comparison of Reduced Order Lithium-Ion Battery Models for Control
	Applications},
  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,
  author = {Speltino, Carmelo and Domenico, Domenico Di and Fiengo, Giovanni
	and Stefanopoulou, Anna G.},
  title = {Experimental Validation of a Lithium-Ion Battery State of Charge
	Estimation with an Extended Kalman Filter: Part I},
  booktitle = {The European Control Conference},
  year = {2009},
  file = {papers_battery/ECC09EKF.pdf},
  owner = {siegeljb},
  timestamp = {2009.10.14}
}
@conference{Speltino2009b,
  author = {Speltino, Carmelo and Domenico, Domenico Di and Fiengo, Giovanni
	and Stefanopoulou, Anna G.},
  title = {On the Experimental Identification of an Electrochemical Model of
	a Lithium-Ion Battery: Part II},
  booktitle = {The European Control Conference},
  year = {2009},
  file = {papers_battery/ECC09ID.pdf},
  owner = {siegeljb},
  timestamp = {2009.10.14}
}
@conference{Speltion2011,
  author = {Speltion, C. and Stefanopoulou, A. G. and Fiengo, G.},
  title = {Parameterization and Estimation of Surrogate Critical Surface Concentration
	in Lithium-Ion Batteries},
  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,
  author = {Anna Stefanopoulou},
  title = {Neutron Imaging for Li-ion Batteries},
  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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