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• W1990692894 abstract "With the development of hybrid and electric vehicles, automobile battery management systems (BMS) play a key role for a safe and optimal use of the battery within the powertrain. These systems have to give critical information on state of health, state of charge and available power for example. The accuracy of the information manipulated by the BMS depends on the embedded battery model accuracy. In this paper, we present a new State Of Charge (SOC) estimation algorithm based on a fractional battery model, for use in real-time in an automotive BMS." @default.
• W1990692894 created "2016-06-24" @default.
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• W1990692894 date "2014-06-01" @default.
• W1990692894 modified "2023-09-27" @default.
• W1990692894 title "Lithium-ion battery state of charge estimation using a fractional battery model" @default.
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• W1990692894 doi "https://doi.org/10.1109/icfda.2014.6967413" @default.
• W1990692894 hasPublicationYear "2014" @default.
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