Tuning of Moving Window Least Squares-based algorithm for online battery parameter estimation


Online battery parameter identification algorithms, such as the Moving Window Least Squares, allow model-based state estimators with low computational intensity to be very accurate. This paper presents a procedure for tuning the algorithm parameters by using application-specific current profiles. A gardening application is taken as a case study. The results prove the validity of the proposed procedure and allow us to assess the identification algorithm performance

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Archivio della Ricerca - Università di Pisa

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oai:arpi.unipi.it:11568/880847Last time updated on 12/17/2017View original full text link

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