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R. MORELLO, R. DI RIENZO, R. RONCELLA, R. SALETTI AND F. BARONTI, "TUNING OF MOVING WINDOW LEAST SQUARES-BASED ALGORITHM FOR ONLINE BATTERY PARAMETER ESTIMATION," SMACD 2017, GIARDINI NAXOS, ITALY, 2017, PP. 1-4.

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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.