Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles

Applied Energy - Tập 89 Số 1 - Trang 413-420 - 2012
Hongwen He1, Rui Xiong1, Hongwei Guo1
1National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, South No. 5, Zhongguancun Street, Beijing 100081, China

Tóm tắt

Từ khóa


Tài liệu tham khảo

Hongwen, 2009, Integrated control method for a fuel cell hybrid system, Asia-Pac J Chem Eng, 4, 68, 10.1002/apj.210

Kennedy, 2000, Use of lithium-ion batteries in electric vehicles, J Power Sources, 90, 156, 10.1016/S0378-7753(00)00402-X

Adams, 2011, Ultrafast lithium migration in surface modified LiFePO4 by heterogeneous doping, Appl Energy, 90, 323, 10.1016/j.apenergy.2011.04.053

Hongwen, 2011, Evaluation of lithium-ion battery equivalent circuit models for state of charge estimation by an experimental approach, Energies, 4, 582, 10.3390/en4040582

Reed, 2011, Modeling the prospects of plug-in hybrid electric vehicles to reduce CO2 emissions, Appl Energy, 88, 2315, 10.1016/j.apenergy.2011.01.045

Bhangu, 2005, Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles, IEEE Trans Veh Technol, 54, 783, 10.1109/TVT.2004.842461

Lee, 2008, State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge, J Power Sources, 185, 1367, 10.1016/j.jpowsour.2008.08.103

Kong Soon, 2009, Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries, Appl Energy, 86, 1506, 10.1016/j.apenergy.2008.11.021

Gregory, 2004, Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs. Part 2. Modeling and identification, J Power Sources, 134, 262, 10.1016/j.jpowsour.2004.02.032

Paul, 2002, Design modeling of lithium-ion battery performance, J Power Sources, 110, 437, 10.1016/S0378-7753(02)00209-4

Thermo Analytics Inc., Battery modeling for HEV simulation by thermo analytics Inc. <http://www.thermoanalytics.com/support/publications/batterymodelsdoc.html>.

Shen, 2002, A new battery available capacity indicator for electric vehicles using neural network, Energy Convers Manage, 43, 817, 10.1016/S0196-8904(01)00078-4

Johnson, 2002, Battery performance models in ADVISOR, J Power Sources, 110, 312, 10.1016/S0378-7753(02)00194-5

Wei, 2010, Current status of research on optimum sizing of stand-alone hybrid solar–wind power generation systems, Appl Energy, 87, 380, 10.1016/j.apenergy.2009.08.012

Yi-Hsien, 2011, Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles, J Power Sources, 196, 3921, 10.1016/j.jpowsour.2011.01.005

Carranza, 2011, Comparative study of speed estimators with highly noisy measurement signals for wind energy generation systems, Appl Energy, 88, 805, 10.1016/j.apenergy.2010.07.039

Simon, 2006

Mohamed, 1999, Adaptive Kalman filtering for INS/GPS, J Geodesy, 73, 193, 10.1007/s001900050236

Hongwen, 2010, Dynamic modeling and simulation on hybrid power system for electric vehicle application, Energies, 3, 1821, 10.3390/en3111821

US Environmental Protection Agency. EPA urban dynamometer driving schedule (UDDS). <http://www.epa.gov/oms/standards/light-duty/udds.htm>.