Case study
ELaBoR — EV Charging Infrastructure Optimisation
Evolutionary optimisation of electric vehicle charging station placement for the Bonn / Rhein-Sieg region.
ELaBoR — Ladeinfrastruktur Elektromobilität
ELaBoR developed a strategy for the successive build-out of EV charging infrastructure across Bonn and the Rhein-Sieg district — an early applied project combining evolutionary optimisation with mobility planning.
Problem
Meeting German federal expansion targets required growing the number of charging stations from 256 (2016) to 935 (2020). Finding an optimal, step-by-step spatial distribution across Points of Interest, park-and-ride sites, and traffic cells is a combinatorial optimisation problem.
Approach
- Candidate site classification — Points of Interest weighted by significance and traffic data
- Multi-objective evolutionary optimisation — solving successive charging station placement as a multi-stage MCLP (Maximal Covering Location Problem)
- Planning guide — a practical decision-support tool demonstrated on two test districts (Königswinter and Bonn city centre)
Partners
Prof. Stefanie Meilinger (lead, H-BRS / IZNE), Prof. Alexander Asteroth. Partners: Stadt Bonn, Rhein-Sieg-Kreis, Stadtwerke Troisdorf, RheinEnergie, rhenag.