IN Brief:
- Siemens modelling puts unmanaged EV-related distribution reinforcement at €24.7 billion across the analysed European urban areas by 2030.
- Intelligent load management reduces the modelled requirement to €14.1 billion, with 77.7% of physical investment concentrated at low voltage.
- Every city studied still requires reinforcement, making smart charging complementary to network upgrades rather than a substitute.
EIT Urban Mobility, ChargeUp Europe, and ACEA have published Siemens modelling that puts the potential reduction in distribution-grid reinforcement associated with intelligent electric-vehicle load management at €10.6 billion across the European urban areas studied by 2030.
Without active EV load management, the model estimates €24.7 billion of physical distribution investment would be required to accommodate the projected increase in electric vehicles. Under the managed-charging scenario, the requirement falls to approximately €14.1 billion, leaving a substantial reinforcement programme even after available flexibility has been used.
The study applies six urban archetypes across 64 centres in the EU27 and three EEA countries. Residential, workplace, public, en-route, and depot charging are modelled separately, allowing the analysis to examine where growing vehicle demand reaches distribution networks rather than treating EV charging as a single national load.
Most of the modelled physical expenditure occurs at low voltage. Siemens estimates 77.7% of the required reinforcement sits on low-voltage networks, driven largely by residential charging, placing significant pressure on local feeders, cables, transformers, and network visibility rather than only on higher-voltage transmission infrastructure.
Battery-electric vehicle numbers across the 64 centres are projected to increase 3.8 times by 2030. The underlying national assumptions vary considerably: the model puts battery-electric passenger cars at 27.3% of Sweden’s fleet by 2030, 15.7% in Germany, 4.6% in Italy, 4.5% in Spain, and 2.5% in Poland.
Where vehicles charge is equally influential. Approximately 55% to 62% of EV owners in the representative cities are assumed to have access to residential charging by 2030, with the variation reflecting differences in housing and adoption across Stockholm, Munich, Barcelona, Rome, Kiel, and Kraków. Lower access to private charging shifts more demand towards public infrastructure.
The study defines EV load management as near-real-time control of charging power to prevent local network overload during periods of high demand, supported by the necessary measurement and communications systems. Charging can be reduced or shifted while feeders and transformers are heavily loaded and increased again when electrical headroom becomes available.
That requires coordination between charge-point hardware, backend platforms, distribution operators, and commercial flexibility arrangements. Britain has already begun formalising some of the measurement requirements around controllable charging, with CoP11 approval for flexible EV charging equipment providing one route for behind-the-meter assets to participate in flexibility services where metering and settlement conditions are met.
Commercial vehicles add another concentrated load. Siemens projects battery-electric light-duty vehicle market share of 22.7% in Sweden, 9.1% in Germany, and 5.9% in Poland by 2030, with Poland’s electric-van fleet expected to grow almost tenfold over the modelled period. Depot charging can place sizeable demand onto one connection when vehicles return on similar schedules.
The €10.6 billion figure is therefore best treated as a modelled reduction in reinforcement requirements, not as money that can simply be removed from network investment plans. Physical upgrades remain necessary in every city examined, and intelligent charging itself requires digital systems, communications, controllable equipment, and sufficiently dependable flexibility to be incorporated into network planning.
The underlying engineering choice is between capacity that must be built and peaks that can be managed. A transformer or cable designed around an unmanaged maximum may carry unused capacity for much of the day, while coordinated charging can reduce the coincidence of EV demand with other loads and defer some reinforcement.
That approach reaches its limit where underlying energy demand or sustained peak loading exceeds the network’s physical capability. Load management can shift a charging session by minutes or hours, but it cannot indefinitely defer energy consumption where large numbers of vehicles need to replenish their batteries within the same operating window.
Central Europe carries the largest share of the modelled investment requirement, followed by the Nordic countries, Eastern Europe, and Southern Europe. Larger metropolitan areas require the greatest absolute expenditure, but every one of the 64 urban centres needs some reinforcement under the study’s assumptions.
The modelling therefore points towards a distribution strategy that combines copper with control rather than choosing between them. Intelligent charging reduces the amount of new physical capacity required in the scenario, while the remaining €14.1 billion shows the scale of network work that software and flexibility cannot remove.
