Estimation of Battery State of Charge With $H_{\infty}$ Observer: Applied to a Robot for Inspecting Power Transmission Lines

@article{Zhang2012EstimationOB,
  title={Estimation of Battery State of Charge With \$H_\{\infty\}\$  Observer: Applied to a Robot for Inspecting Power Transmission Lines},
  author={Fei Zhang and Guangjun Liu and Lijin Fang and Hongguang Wang},
  journal={IEEE Transactions on Industrial Electronics},
  year={2012},
  volume={59},
  pages={1086-1095}
}
Battery state-of-charge (SOC) estimation is essential for a mobile robot, such as inspection of power transmission lines. It is often estimated using a Kalman filter (KF) under the assumption that the statistical properties of the system and measurement errors are known. Otherwise, the SOC estimation error may be large or even divergent. In this paper, without the requirement of the known statistical properties, a SOC estimation method is proposed using an H∞ observer, which can still guarantee… CONTINUE READING
Highly Cited
This paper has 74 citations. REVIEW CITATIONS
52 Citations
19 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 52 extracted citations

74 Citations

01020'13'15'17
Citations per Year
Semantic Scholar estimates that this publication has 74 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Adaptive unscented Kalman filtering for state of charge estimation of a lithium ion battery for electric vehicles

  • F. Sun, X. Hu, Y. Zou, S. Li
  • Energy, vol. 36, no. 5, pp. 3531–3540, May 2011.
  • 2011
1 Excerpt

Adaptive online state of charge determination based on neurocontroller and neural network

  • Y. Shen
  • Energy Convers. Manage., vol. 51, no. 5, pp. 1093…
  • 2010
3 Excerpts

Similar Papers

Loading similar papers…