Predictive Battery Thermal Management of Electric Vehicles using Deep Learning

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Karlsruher Schriftenreihe FahrzeugsystemtechnikVerlag: Karlsruhe, Germany : KIT Scientific Publishing : KIT Scientific Publishing [Imprint], 2025Beschreibung: 1 Online-Ressource (1 electronic resource 224 p.)ISBN:

9783731514299

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Zusammenfassung: Improving the energy efficiency of battery electric vehicles increases their range and reduces well-to-wheel emissions. An efficient battery thermal management reduces the energy consumption while taking temperature- dependent battery ageing and power availability into account. This work presents a method for a predictive cooling strategy to reduce the energy consumption, using information about the route ahead and Quantile Neural Networks (Q*NN) for accurate predictionsPPN: PPN: 1983962201Package identifier: Produktsigel: ZDB-94-OAB

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Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International CC BY-SA 4.0 cc:

https://creativecommons.org/licenses/by-sa/4.0/

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