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- W2734686531 abstract "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." @default.
- W2734686531 created "2017-07-21" @default.
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- W2734686531 date "2017-06-01" @default.
- W2734686531 modified "2023-09-30" @default.
- W2734686531 title "Tuning of Moving Window Least Squares-based algorithm for online battery parameter estimation" @default.
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- W2734686531 doi "https://doi.org/10.1109/smacd.2017.7981558" @default.
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