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- W2568691235 abstract "This paper discusses the hardware implementation and experimental validation of a model-based battery state estimator. The model parameters are identified online using the moving window least squares method. The estimator is implemented in a field programmable gate array device as a hardware block, which interacts with the embedded processor to form a system on a chip battery management system (BMS). As a case study, the BMS is applied to the battery pack of an e-bike. Road tests show that the implemented estimator may provide very good performance in terms of maximum and rms estimation errors. This work also proposes a new methodology to assess the performance of a battery state estimator." @default.
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- W2568691235 date "2016-10-01" @default.
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- W2568691235 title "System on chip battery state estimator: E-bike case study" @default.
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- W2568691235 doi "https://doi.org/10.1109/iecon.2016.7794140" @default.
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