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- W2034673783 abstract "Extended Kalman Filter (EKF) is widely studied in the field of State of Charge (SOC) estimation of Li-ion batteries, however, in applications like Electric Vehicles (EV), there are usually a large number of individual battery cells. In order to meet the demand of real-time computation, MCU of high performance is essential. In this paper, we proposed a hardware structure to implement EKF which is economical in area and power consumption and could be easily integrated in a larger design and at the same time could satisfy the real-time restriction." @default.
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- W2034673783 date "2015-01-01" @default.
- W2034673783 modified "2023-09-26" @default.
- W2034673783 title "Hardware Implementation Optimization of Extended Kalman Filter for the Estimation of State of Charge of Li-Ion Battery" @default.
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- W2034673783 doi "https://doi.org/10.4028/www.scientific.net/amm.713-715.1094" @default.
- W2034673783 hasPublicationYear "2015" @default.
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