Optimising vehicle distribution and enabling cost-effective charging station installations.
Problem
Our customer needed a solution to analyze the frequency of use of car-sharing vehicles in Berlin, predict city-wide energy loads based on mobility data, and determine the optimal number of charging stations for an electric vehicle fleet.
Solution
We developed an analysis platform to evaluate car sharing booking data, compared it with energy consumption data to use mobility as a proxy for energy consumption peaks, and simulated various scenarios to determine the optimal number of charging stations.
Business impact
The solution optimizes vehicle distribution, Improves energy consumption forecasts and reduces network congestion. It enables cost-effective installation of charging stations, which minimizes operating costs and increases service quality.
Thanks to the optimized placement of charging stations, we were able to significantly reduce operating costs and increase energy efficiency.
Head of Infrastructure
Car-sharing provider
30 mins
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