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Optimisation of electric vehicles within a dynamic inductive charging infrastructure
The strong interaction between electric vehicles and the charging infrastructure presents new challenges towards system-level optimization. Moreover choices between the power level, duration, and frequency of charging events can have direct impact both on energy efficiency, as well as the overall lifetime of vehicles. This paper presents a preliminary study into the optimization scheme for such systems, with the focus on an electric bus application. The results illustrate an energy saving when comparing the EMS and baseline strategy of ~ 1.6%improvement measured in kWh/km, alongside a potential cycle life prolongation factor improvement of the EMS compared to the baseline is 1.5 in average.
- Technical University Eindhoven Netherlands
- Technical University Eindhoven TU Eindhoven Research Portal Netherlands
- Technical University Eindhoven Netherlands
- Delft University of Technology Netherlands
Charging infrastructures, Optimization scheme, Electric vehicles, Potential cycles, Strong interaction, Energy conservation, System level optimization, Fuel Technology, Energy efficiency, Energy management systems, Charging (batteries), Automotive Engineering, Direct impact, Inductive charging, SDG 7 - Affordable and Clean Energy, Electrical and Electronic Engineering, Optimisations, SDG 7 – Betaalbare en schone energie
Charging infrastructures, Optimization scheme, Electric vehicles, Potential cycles, Strong interaction, Energy conservation, System level optimization, Fuel Technology, Energy efficiency, Energy management systems, Charging (batteries), Automotive Engineering, Direct impact, Inductive charging, SDG 7 - Affordable and Clean Energy, Electrical and Electronic Engineering, Optimisations, SDG 7 – Betaalbare en schone energie
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
