-
1
-
-
33748427612
-
Power and thermal characterization of a lithium-ion battery pack for hybrid-electric vehicles
-
K. Smith and C.-Y. Wang, "Power and thermal characterization of a lithium-ion battery pack for hybrid-electric vehicles," J. Power Sources, vol. 160, pp. 662-673, 2006.
-
(2006)
J. Power Sources
, vol.160
, pp. 662-673
-
-
Smith, K.1
Wang, C.-Y.2
-
2
-
-
85072351462
-
Vehicle valve regulated lead acid battery modeling and fault diagnosis
-
N. Hammad, "Vehicle valve regulated lead acid battery modeling and fault diagnosis," SAE Technical Paper 2010-01-0028, 2010.
-
(2010)
SAE Technical Paper 2010-01-0028
-
-
Hammad, N.1
-
3
-
-
78751674737
-
Definition of energy management technique for series hybrid vehicles
-
S. Barsali, M. Pasquali, and G. Pede, "Definition of energy management technique for series hybrid vehicles," in Proc. Electric Vehicle Symposium, 2002, vol. 19, pp. 900-910.
-
(2002)
Proc. Electric Vehicle Symposium
, vol.19
, pp. 900-910
-
-
Barsali, S.1
Pasquali, M.2
Pede, G.3
-
4
-
-
77957971181
-
Estimation of state of charge of a lithiumion battery pack for electric vehicles using an adaptive luenberger observer
-
X. Hu, F. Sun, and Y. Zou, "Estimation of state of charge of a lithiumion battery pack for electric vehicles using an adaptive Luenberger observer," Energies, vol. 3, no. 9, pp. 1586-1603, 2010.
-
(2010)
Energies
, vol.3
, Issue.9
, pp. 1586-1603
-
-
Hu, X.1
Sun, F.2
Zou, Y.3
-
5
-
-
1842817556
-
Microcontroller-based on-line state-of-charge estimator for sealed lead-acid batteries
-
Y. Çadirci and Y, Özkazanç. "Microcontroller- based on-line state-of-charge estimator for sealed lead-acid batteries," J. Power Sources, vol. 129, pp. 330-342, 2004.
-
(2004)
J. Power Sources
, vol.129
, pp. 330-342
-
-
Çadirci, Y.1
Özkazanç, Y.2
-
6
-
-
82155192197
-
A hybrid battery model capable of capturing dynamic circuit characteristics and nonlinear capacity effects
-
Dec.
-
T. Kim and W. Qiao, "A hybrid battery model capable of capturing dynamic circuit characteristics and nonlinear capacity effects," IEEE Trans. Energy Conversion, vol. 26, no. 4, pp. 1172-1180, Dec. 2011.
-
(2011)
IEEE Trans. Energy Conversion
, vol.26
, Issue.4
, pp. 1172-1180
-
-
Kim, T.1
Qiao, W.2
-
7
-
-
29044450593
-
Neural network-based residual capacity indicator for nickel-metal hydride batteries in electric vehicles
-
Sept.
-
W.X. Shen, K.T. Chau, and C.C. Chan, "Neural network-based residual capacity indicator for nickel-metal hydride batteries in electric vehicles," IEEE Trans. Veh. Tech., vol. 54, no. 5, pp. 1705-1712, Sept. 2005.
-
(2005)
IEEE Trans. Veh. Tech.
, vol.54
, Issue.5
, pp. 1705-1712
-
-
Shen, W.X.1
Chau, K.T.2
Chan, C.C.3
-
8
-
-
33646904243
-
Fuzzy logic-based learning system and estimation of state of charge of lead-acid battery
-
S. Malkhandi, "Fuzzy logic-based learning system and estimation of state of charge of lead-acid battery," Eng. Appl. Artif. Intel., vol. 19, pp. 479-485, 2006.
-
(2006)
Eng. Appl. Artif. Intel.
, vol.19
, pp. 479-485
-
-
Malkhandi, S.1
-
9
-
-
13844254548
-
Support vector based battery state of charge estimator
-
T. Hansen, and C. Wang, "Support vector based battery state of charge estimator," J. Power Sources, vol. 141, pp. 351-358, 2005.
-
(2005)
J. Power Sources
, vol.141
, pp. 351-358
-
-
Hansen, T.1
Wang, C.2
-
10
-
-
73649134303
-
Fuzzy clustering based multi-model support vector regression state of charge estimator for lithium-ion battery of electric vehicle
-
Hangzhou, Zhejiang, China, 26-27 August
-
X. Hu and F. Sun, "Fuzzy clustering based multi-model support vector regression state of charge estimator for lithium-ion battery of electric vehicle," in Proc. Int. Conf. Intelligent Human-Machine Systems and Cybernetics, Hangzhou, Zhejiang, China, 26-27 August.
-
Proc. Int. Conf. Intelligent Human-Machine Systems and Cybernetics
-
-
Hu, X.1
Sun, F.2
-
11
-
-
21244441087
-
Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles
-
B.S Bhangu, P. Bentley, D.A. Stone, and C.M. Bingham, "Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles," IEEE Trans. Veh. Tech., vol. 54, pp. 783-794, 2005.
-
(2005)
IEEE Trans. Veh. Tech.
, vol.54
, pp. 783-794
-
-
Bhangu, B.S.1
Bentley, P.2
Stone, D.A.3
Bingham, C.M.4
-
12
-
-
35848936951
-
Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter
-
A. Vasebi, S.M.T. Bathaee, and M. Partovibakhsh, "Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter," Energy Convers. Manage., vol. 49, pp. 75-82, 2008.
-
(2008)
Energy Convers. Manage.
, vol.49
, pp. 75-82
-
-
Vasebi, A.1
Bathaee, S.M.T.2
Partovibakhsh, M.3
-
13
-
-
47249159572
-
A study on adaptive autoreclosure scheme with real-time transient stability
-
S. Jang, M. Shin, C. Yoon, and R. Campbell, "A study on adaptive autoreclosure scheme with real-time transient stability," J. Elect. Eng. & Technol., vol. 1, no. 1, pp. 8-15, 2006.
-
(2006)
J. Elect. Eng. & Technol.
, vol.1
, Issue.1
, pp. 8-15
-
-
Jang, S.1
Shin, M.2
Yoon, C.3
Campbell, R.4
-
15
-
-
78349251330
-
State of charge estimation for lithium-ion batteries using neural networks and EKF
-
Dec.
-
M. Charkhgard and M. Farrokhi, "State of charge estimation for Lithium-ion batteries using neural networks and EKF," IEEE Trans. Industrial Electronics, vol. 57, no. 12, pp. 4178 - 4187, Dec. 2010.
-
(2010)
IEEE Trans. Industrial Electronics
, vol.57
, Issue.12
, pp. 4178-4187
-
-
Charkhgard, M.1
Farrokhi, M.2
-
17
-
-
80053145193
-
Li-ion battery parameter estimation for state of charge
-
X. Tang, X. Mao, J. Lin, and B. Koch, "Li-ion battery parameter estimation for state of charge," in Proc. 2011 American Control Conference, pp. 941-946.
-
Proc. 2011 American Control Conference
, pp. 941-946
-
-
Tang, X.1
Mao, X.2
Lin, J.3
Koch, B.4
|