An Adaptive Gain Nonlinear Observer for State of Charge Estimation of Lithium-Ion Batteries in Electric Vehicles

@inproceedings{Tian2014AnAG,
  title={An Adaptive Gain Nonlinear Observer for State of Charge Estimation of Lithium-Ion Batteries in Electric Vehicles},
  author={Yong Tian and C. Chen and Bizhong Xia and Wei Sun and Zhihui Xu and Weiwei Zheng},
  year={2014}
}
The state of charge (SOC) is important for the safety and reliability of battery operation since it indicates the remaining capacity of a battery. However, it is difficult to get an accurate value of SOC, because the SOC cannot be directly measured by a sensor. In this paper, an adaptive gain nonlinear observer (AGNO) for SOC estimation of lithium-ion batteries (LIBs) in electric vehicles (EVs) is proposed. The second-order resistor–capacitor (2RC) equivalent circuit model is used to simulate… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 46 references

A comparative study of equivalent circuit models for Li-ion batteries

X. S. Hu, S. B. Li, H. Peng
J. Power Sources • 2012
View 12 Excerpts
Highly Influenced

A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles

R. Xiong, F. C. Sun, X. Z. Gong, C. C. Gao
Appl. Energy 2014, • 2014
View 13 Excerpts
Highly Influenced

A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles

X. P. Chen, W. X. Shen, Z. W. Cao, A. Kapoor
J. Power Sources • 2014
View 9 Excerpts
Highly Influenced

A novel on-board state-of-charge estimation method for aged Li-ion batteries based on model adaptive extended Kalman filter

S. Sepasi, R. Ghorbani, B. Y. Liaw
J. Power Sources • 2014
View 11 Excerpts
Highly Influenced

State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures

Y. J. Xing, W. He, M. Pecht, K. L. Tsui
Appl. Energy • 2014
View 7 Excerpts
Highly Influenced

A comparative study of state of charge estimation algorithms for LiFePO4 batteries used in electric vehicles

J. H. Li, J. K. Barillas, C. Guenther, M. A. Danzer
J. Power Sources • 2013
View 15 Excerpts
Highly Influenced

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