Bhangu, B S and Bentley, P and Stone, D A and Bingham, Chris (2005) State-of-charge and state-of-health prediction of lead-acid batteries for hybrid electric vehicles using non-linear observers. In: Power Electronics and Applications, 2005 European Conference on, September 2005, Dresden, Germany.
|Item Type:||Conference or Workshop Item (Presentation)|
bhangu_4.pdf - Whole Document
|Divisions:||College of Science > School of Engineering|
|Abstract:||The paper describes the application of state-estimation techniques for the real-time prediction of state-of-charge (SoC) and state-of-health (SoH) of lead-acid cells. Approaches based on the extended Kalman filter (EKF) are presented to provide correction for offset, drift and state divergence - an unfortunate feature of more traditional coulomb-counting techniques. Experimental results are employed to demonstrate the relative attributes of the proposed methodology|
|Date Deposited:||23 May 2010 20:07|
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