State-of-Charge Estimation for Li-Ion Power Batteries Based on a Tuning Free Observer
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Title
State-of-Charge Estimation for Li-Ion Power Batteries Based on a Tuning Free Observer
Authors
Keywords
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Journal
Energies
Volume 9, Issue 9, Pages 675
Publisher
MDPI AG
Online
2016-08-24
DOI
10.3390/en9090675
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- (2015) Xiaopeng Tang et al. JOURNAL OF POWER SOURCES
- Various battery models for various simulation studies and applications
- (2014) S.M. Mousavi G. et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- The State of Charge Estimation of Lithium-Ion Batteries Based on a Proportional-Integral Observer
- (2013) Jun Xu et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter
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