Cloud BMS - The new generation of intelligent battery management systems

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  • An auto-regressive model for battery voltage prediction

    Vilsen, S. B. & Stroe, D-I., 2021, 2021 IEEE Applied Power Electronics Conference and Exposition (APEC). IEEE, s. 2673-2680 8 s. (I E E E Applied Power Electronics Conference and Exposition. Conference Proceedings).

    Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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    118 Downloads (Pure)

  • A Time-Varying Log-linear Model for Predicting the Resistance of Lithium-ion Batteries

    Vilsen, S. B., Sui, X. & Stroe, D-I., 2020, 2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia). IEEE, s. 1659-1666 8 s. 9367839. (2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia).

    Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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    1 Citationer (Scopus)
    70 Downloads (Pure)

  • Predicting Lithium-ion Battery Resistance Degradation using a Log-Linear Model

    Vilsen, S. B., Kær, S. K. & Stroe, D-I., sep. 2019, Proceedings of 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE Press, s. 1136-1143 8 s. 8912770. (IEEE Energy Conversion Congress and Exposition).

    Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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    4 Citationer (Scopus)
    72 Downloads (Pure)