Battery_electrothermal_papers.bib

@inproceedings{Kim2013,
  author = {Y. Kim and S. Mohan and J.B. Siegel and A.G. Stefanopoulou and Y. Ding},
  title = {The Estimation of Radial Temperature Distribution in Cylindrical Battery Cells under Unknown Cooling Conditions},
  booktitle = {Proc. 2013 IEEE 52nd Annual Conference on Decision and Control (CDC)},
  year = {2013},
  pages = {5680-5685},
  doi = {10.1109/CDC.2013.6760784},
  file = {papers/estimationofradialtemperaturedistribution.pdf},
  owner = {choonhun},
  timestamp = {2015.03.04}
}

@inproceedings{Kim2013a,
  author = {Y. Kim and J.B. Siegel and A.G. Stefanopoulou},
  title = {A computationally efficient thermal model of cylindrical battery cells for the estimation of radially distributed temperatures},
  booktitle = {Proc. American Control Conference (ACC)},
  year = {2013},
  pages = {698-703},
  doi = {10.1109/ACC.2013.6579917},
  file = {papers/computationallyefficientthermalmodel.pdf},
  owner = {choonhun},
  timestamp = {2015.03.04}
}

@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},
  volume = {2},
  number = {DSCC2013-3935},
  doi = {10.1115/DSCC2013-3935},
  file = {papers_battery/V002T23A003-DSCC2013-3935.pdf},
  owner = {siegeljb},
  timestamp = {2015.01.09}
}

@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 = {IEEE Transactions on Control Systems Technology},
  year = {2014},
  number = {6},
  pages = {2277-2286},
  volume = {22},
  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}
}

@inproceedings{Lin2011,
  author = {Xinfan Lin and Anna Stefanopoulou},
  title = {Adaptive Observer of the Core Temperature in Cylindrical Li-ion Batteries and their Health Monitoring},
  booktitle = {In the Proceedings of the 2nd REVE at the IFP Energie Nouvelle},
  year = {2011},
  file = {papers/quadrupleadaptiveobserverofcore.pdf},
  owner = {choonhun},
  timestamp = {2015.03.04}
}

@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},
  month = {December},
  file = {papers/parameterizationandobservabilityanalysisofscalable.pdf},
  owner = {Admin},
  timestamp = {2012.06.24},
  url = {http://rs-rheve.com/images/22_lin_rheve2011.pdf}
}

@inproceedings{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 = {in Proceedings of American Control Conference (ACC), June 27 - 29 2012},
  year = {2012},
  month = {June},
  pages = {578-583},
  doi = {10.1109/ACC.2012.6315386},
  file = {papers_battery/thermal_acc_2012.pdf::},
  owner = {Admin},
  timestamp = {2012.06.25}
}

@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 = {September},
  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}
}

@inproceedings{Lin2014b,
  author = {Lin, X. and Mohan, S. and Siegel, J. and Stefanopoulou, A.},
  title = {Temperature Estimation in a Battery String under Frugal Sensor Allocation},
  booktitle = {ASME Dynamic Systems and Control Conference (DSCC), San Antonio, October 2014},
  year = {2014},
  series = {DSCC2014-6352},
  doi = {10.1115/DSCC2014-6352},
  file = {papers/V001T19A006-DSCC2014-6352.pdf},
  owner = {choonhun},
  timestamp = {2015.02.10}
}

@inproceedings{Mohan2014a,
  author = {Mohan, S. and Kim, Y. and Stefanopoulou, A. and Ding, Y.},
  title = {On the Warm-Up of Li-ion Cells from Sub-zero Temperatures},
  booktitle = {in Proceedings of American Control Conference (ACC) 4-6 June 2014},
  year = {2014},
  pages = {1547-1552},
  doi = {10.1109/ACC.2014.6859350},
  file = {papers/onthewarmupofliioncells.pdf},
  owner = {choonhun},
  timestamp = {2015.02.10}
}

@article{Mohan2015,
  author = {Mohan, S. and Kim, Y. and Stefanopoulou, A.G.},
  title = {Estimating the Power Capability of Li-ion Batteries Using Informationally Partitioned Estimators},
  journal = {IEEE Transactions on Control Systems Technology},
  year = {2015},
  pages = {1-12},
  doi = {10.1109/TCST.2015.2504847},
  file = {papers/estimatingpowercapabilityofliion.pdf},
  issn = {1063-6536},
  keywords = {Batteries;Computational modeling;Discharges (electric);Estimation;Heating;Mathematical model;Vehicle dynamics;Battery management;hybrid electric vehicle;lithium-ion (Li-ion) batteries;principal component analysis (PCA);state and parameter estimation.},
  owner = {choonhun},
  timestamp = {2015.12.28}
}

@article{Mohan2016,
  author = {S. Mohan and Y. Kim and A. G. Stefanopoulou},
  title = {Energy-Conscious Warm-Up of Li-Ion Cells from Sub-Zero Temperatures},
  journal = {IEEE Transactions on Industrial Electronics},
  year = {2016},
  volume = {63},
  number = {5},
  pages = {2954-2964},
  doi = {10.1109/TIE.2016.2523440},
  file = {papers/energyconsciouswarmupofliioncells.pdf}
}

@inproceedings{Mohan2016a,
  author = {S. Mohan and J. Siegel and A.G. Stefanopoulou and M. Castanier and Y. Ding},
  title = {Synthesis of an energy-optimal self-heating strategy for Li-ion batteries},
  booktitle = {2016 IEEE 55th Conference on Decision and Control (CDC)},
  year = {2016},
  pages = {1589-1594},
  doi = {10.1109/CDC.2016.7798492},
  file = {papers_battery/Mohan2016CDC.pdf}
}

@inproceedings{Parvini2014,
  author = {Parvini, Y. and Siegel, J. B. and Stefanopoulou, A. G. and Vahidi, A.},
  title = {Preliminary results on identification of an electro-thermal model for low temperature and high power operation of cylindrical double layer ultracapacitors},
  booktitle = {in Proceedings of American Control Conference (ACC) 4-6 June 2014},
  year = {2014},
  pages = {242-247},
  doi = {10.1109/ACC.2014.6859394},
  file = {papers/preliminaryresultsonidentificationofanelectrothermal.pdf},
  owner = {choonhun},
  timestamp = {2015.02.10}
}

@article{Parvini2016,
  author = {Y. Parvini and J. B. Siegel and A. Vahidi and A. Stefanopoulou},
  title = {Supercapactior Electrical and Thermal Modeling, Identification, and Validation for a Wide Range of Temperature and Power Applications},
  journal = {IEEE Transactions on Industrial Electronics},
  year = {2016},
  volume = {63},
  number = {3},
  pages = {1574-1585},
  doi = {10.1109/TIE.2015.2494868},
  file = {papers_battery/Parvini2016IEEETIE.pdf}
}

@inproceedings{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 = {in Proceedings of 2012 ASME Dynamic Systems Control Conference},
  year = {2012},
  series = {DSCC2012-MOVIC2012-8782},
  pages = {41-50},
  month = {October},
  doi = {10.1115/DSCC2012-MOVIC2012-8782},
  file = {papers_battery/ASME_DSCC_2012_HEP_V15.pdf},
  owner = {Admin},
  timestamp = {2012.06.24}
}

@article{Salehi2015,
  author = {S. Mohan and Y. Kim and A. G. Stefanopoulou},
  title = {Energy-Conscious Warm-Up of Li-Ion Cells from Sub-Zero Temperatures},
  journal = {IEEE Transactions on Industrial Electronics},
  year = {2016},
  volume = {63},
  number = {5},
  pages = {2954-2964},
  doi = {10.1109/TIE.2016.2523440},
  file = {papers/energyconsciouswarmupofliioncells.pdf}
}

@inproceedings{Salehi2015,
  author = {R. Salehi and A. Stefanopoulou},
  title = {Effective Component Tuning in a Diesel Engine Model Using Sensitivity Analysis},
  booktitle = {ASME Dynamic Systems and Control Conference (DSCC)},
  year = {2015},
  series = {DSCC2015-9729},
  doi = {10.1115/DSCC2015-9729},
  file = {papers_battery/SalehiDSCC2015-9729.pdf}
}

@inproceedings{Samad2014,
  author = {Samad, N. and Siegel, J. and Stefanopoulou, A.},
  title = {Parameterization and Validation of a Distributed Coupled Electro-Thermal Model for Prismatic Cells},
  booktitle = {ASME Dynamic Systems and Control Conference (DSCC), San Antonio, October 2014},
  year = {2014},
  series = {DSCC2014-6321},
  month = {October},
  doi = {10.1115/DSCC2014-6321},
  file = {papers/V002T23A006-DSCC2014-6321.pdf},
  owner = {choonhun},
  timestamp = {2015.02.10}
}

@article{Samad2017,
  author = {Nassim A Samad and Boyun Wang and Jason B. Siegel and Anna G. Stefanopoulou},
  title = {Parameterization of Battery Electrothermal Models Coupled With Finite Element Flow Models for Cooling},
  journal = {ASME Journal Dynamic Systems Control and Measurements},
  year = {2017},
  volume = {139},
  number = {7},
  doi = {10.1115/1.4035742},
  file = {papers_battery/Samad2017DSCM.pdf}
}

@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}
}