Context-aware recommendations for extended electric vehicle battery lifetime
M. Eider, B. Sick, и A. Berl. Sustainable Computing: Informatics and Systems (SUSCOM)(2023)
Electric vehicles are a means of reducing CO2 emissions in transportation. However, the sustainability of
electric vehicle batteries is affected by battery health degradation, which decreases their overall lifetime.
This results in a substantial amount of depleted batteries due to replacements. Users have a major impact
on battery health degradation through their actions while handling electric vehicles, such as the use of fast
charging. To mitigate this problem, this article presents a methodology to generate user guidance for batteryfriendly actions in the upcoming use. Therefore, we first identify general recommendations from related work
and combine them with the vehicle context in order to define context-aware recommendations in the form
of if–then rules. These context-aware recommendations are then used to generate user advice. Second, the
article covers how to predict the vehicle context in order to determine necessary recommendations. Third, a
prescriptive recommendation system architecture is proposed, which takes vehicle context information, and
produces user guidance. Finally, we test the proposed architecture using fuzzy logic as decision system. Overall,
the architecture provides satisfactory user advice
