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Data as the fuel for e-mobility

  • STAT-UP
  • Nov 18, 2025
  • 2 min read

Challenge


The expansion of the charging infrastructure is considered a key success factor for the spread of electric mobility. However, not every location is suitable for a charging station: medium-voltage connections are lacking, investment costs are high, and future demand is difficult to estimate. Jolt Energy, a provider of mobile ultra-fast charging stations, draws a decisive advantage from data: logistics, location selection and economic efficiency are optimised with the help of AI-supported scenario simulations so that mobile charging stations are available exactly where they are needed.


Approach


We are implementing our Scenario Simulation Platform for Jolt with components for microgeographic data, sociodemographic indicators and traffic flow analyses. It can be flexibly adapted to the infrastructure of different cities, identifies attractive locations and forecasts how demand and utilisation will develop. Numerous parameters are taken into account, such as transport logistics, loading hub capacities, travel times and demand trends. The simulated scenarios clearly show the optimal ratio of loading hubs, transport vehicles and mobile charging stations, enabling Jolt to make optimal investment decisions.


Schematic illustration of the optimisation model; Source: Own illustration by Sofia Mari Surkau
Schematic illustration of the optimisation model; Source: Own illustration by Sofia Mari Surkau

Impact


“Thanks to the STAT-UP control board and JOLT’s mobile ultra-fast charging solution, our customers can move the charging units to where they are most efficient in a flash.” (Frank N. Beicken, Co-Founder, Jolt Energy Group)

 

The Scenario Simulation Platform helps to reduce future investment and operating costs and avoid lost revenue due to empty charging stations. It not only provides the basis for an efficient and scalable charging infrastructure, but also valuable data for future location forecasts. The combination of data-driven logistics optimisation and AI-based location analysis shows how data-based strategies can accelerate the sustainable transition to e-mobility – and makes it clear that data is the real fuel for tomorrow's mobility.


BWK Energie published a detailled article on this (in German):



Their Website: https://www.ebwk.de


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