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- W2897519487 abstract "Electric vehicles equipped with Lithium-ion batteries face performance loss due to battery ageing. This effect can be actively influenced through behaviour introduced by vehicle users. Therefore, this paper proposes a dynamic recommendation architecture to automatically generate dynamic recommendations in order to prolong battery lifetime.We propose dynamic recommendations as well as requirements for them. The recommendations suggest a certain user behaviour for a specific chronological scope in the future as well as a weight based on their impact on maintaining battery health.Furthermore, we present an exemplary architecture, based on the requirements. Using historical electric vehicle driving data, it can automatically derive dynamic recommendations." @default.
- W2897519487 created "2018-10-26" @default.
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- W2897519487 date "2018-07-01" @default.
- W2897519487 modified "2023-09-24" @default.
- W2897519487 title "Dynamic Generation of Recommendations for EV Battery Health" @default.
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- W2897519487 doi "https://doi.org/10.23919/eeta.2018.8493182" @default.
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