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

By Rocco Morello, Roberto DI RIENZO, Roberto Roncella, Roberto Saletti and Federico Baronti


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

Topics: Hardware and Architecture, Electrical and Electronic Engineering, Modeling and Simulation
Publisher: Institute of Electrical and Electronics Engineers Inc.
Year: 2017
DOI identifier: 10.1109/SMACD.2017.7981558
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