Robust polynomial approach for state of charge estimation in NiMH batteries

In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. The robust filter guarantees that the supremum of the error variance - difference between real and estimated SOC - with respect to all admissib...

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Bibliographic Details
Published in:International journal of hydrogen energy 2012-07, Vol.37 (13), p.10371-10375
Main Authors: Milocco, R.H., Thomas, J.E., Castro, B.E.
Format: Article
Language:English
Subjects:
Alternative fuels. Production and utilization
Applied sciences
Batteries
Charge
Electric batteries
Energy
Errors
Estimates
Exact sciences and technology
Fuels
Hydrogen
Hydrogen storage
Kalman filtering
Metal Hydride battery
Optimization
Robust filtering
State of charge
Uncertainty
Wiener model
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Summary:In this work we estimate the state of charge (SOC) of NiMH rechargeable batteries using a robust optimal filter based on a simplified electrochemical model. The robust filter guarantees that the supremum of the error variance - difference between real and estimated SOC - with respect to all admissible uncertainties be minimum. The results are compared with those obtained using the linear Kalman filter. We conclude that both estimations have similar performance, although the robust filter is easier to tune. Experimental results with commercial batteries are provided to illustrate the estimation procedure and it performance.
ISSN:0360-3199
1879-3487
DOI:10.1016/j.ijhydene.2012.01.164