Master’s in Heavy Transport Electrification Engineering and Charging Hubs
Online master's programme of 1,900 hours in heavy transport electrification and charging hub engineering: 12 modules covering heavy electric vehicles, charging technologies, fleet demand planning, hub design, grid connection, energy management, hydrogen, regulation, economics and fleet transition, with an assigned technical tutor.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Evaluate the feasibility of electrifying heavy-duty fleets.
Compare high-power charging technologies.
Plan the energy demand of fleets.
Design charging hubs and electric depots.
Size the grid connection of large charging infrastructure.
Optimise the energy management of charging.
Build economic models for fleet transition.
Who it's for
- Fleet electrification planners in logistics and public transport.
- Charging infrastructure engineers.
- Charging hub managers.
- Sustainable mobility consultants.
- Total cost of ownership analysts.
- Grid connection engineers.
- Engineering or science graduates aiming to move into transport and logistics.
What you'll work with
- Regulation (EU) 2023/1804 (AFIR, alternative fuels infrastructure)
- Regulation (EU) 2024/1610 (CO2 emission standards for heavy-duty vehicles)
- Directive (EU) 2022/362 (Eurovignette)
- IEC 61851-23 (DC conductive charging)
- SAE J3271 (Megawatt Charging System)
- ISO 15118-20 (vehicle-to-grid communication interface)
- ITC-BT-52 of the REBT (Spanish low-voltage regulation for EV charging installations)
- Real Decreto 1183/2020 (grid access and connection)
- PTV Visum
- Python (Pyomo, pandas)
- MATLAB/Simulink
- DIgSILENT PowerFactory
- HOMER Grid
12 modules · 1900 h
1.1Road transport emissions1.2CO2 targets for heavy-duty vehicles1.3Technologies: battery, hydrogen and catenary1.4Evolution of the electric truck market1.5Electric buses and coaches1.6Logistics and usage patterns1.7Barriers to adoption1.8European and national policies1.9Sector roadmap1.10Case study: electrification potential analysis of a transport fleet
2.1Architecture of electric trucks2.2Batteries for heavy-duty vehicles2.3Energy consumption by segment2.4Real-world range and its drivers2.5Regenerative braking in heavy vehicles2.6Battery thermal management2.7Weight and payload2.8Maintenance of electric vehicles2.9Manufacturers and models2.10Lab: route-based energy consumption model of an electric truck
3.1High-power CCS charging3.2Megawatt Charging System (MCS)3.3Pantograph charging3.4Static and dynamic inductive charging3.5Opportunity charging versus depot charging3.6Battery swapping3.7Electric road systems with catenary3.8Interoperability and protocols3.9Safety in high-power charging3.10Practical exercise: comparison of charging solutions for city buses
4.1Route and mission analysis4.2Fleet telematics4.3Duty-cycle simulation4.4Charging windows4.5Daily energy requirements4.6Charger sizing4.7Depot charging management4.8Transition scenarios4.9Operational risks of the transition4.10Lab: charging simulation for a fleet of 50 buses
5.1Siting on TEN-T corridors5.2Rest areas and logistics sites5.3Hub layout5.4Heavy vehicle circulation5.5Driver services5.6Safety and surveillance5.7Hub civil works5.8Phased sizing5.9European hub experience5.10Case study: charging hub on a corridor
6.1Power required by hubs6.2Medium- and high-voltage connection6.3Dedicated substations for hubs6.4Demand access capacity6.5Connection timescales6.6Storage to limit peak power6.7Local renewable generation6.8Power quality6.9Coordination with the distribution system operator6.10Practical exercise: connection study for a 10 MW hub
7.1Smart charging management7.2Price-based optimisation7.3Storage in hubs7.4Rooftop photovoltaic integration7.5Flexibility services to the grid7.6Arrival forecasting7.7Booking systems7.8Power allocation algorithms7.9Fleet management software7.10Lab: charging optimisation with hourly prices
8.1Fuel cell trucks8.2Hydrogen refuelling stations for heavy vehicles8.3Refuelling at 350 and 700 bar8.4Liquid hydrogen for trucks8.5Cost of hydrogen at the pump8.6Comparison with batteries8.7Application niches8.8AFIR infrastructure for heavy vehicles8.9Pilot projects in Europe8.10Case study: battery versus hydrogen comparison on a long-haul route
9.1The AFIR Regulation for heavy vehicles9.2CO2 standards for trucks9.3Emission-based tolls under the Eurovignette9.4MOVES grants and fleet programmes9.5Energy savings certificates9.6Low-emission zones9.7Regulations for charging installations9.8Permitting of hubs9.9Vehicle and energy taxation9.10Workshop: analysis of grants applicable to a project
10.1Total cost of ownership10.2Infrastructure costs10.3Charging-as-a-service models10.4Hub operators10.5Supply contracts10.6Charging tariffs10.7Fleet financing10.8Technology risks and obsolescence10.9Residual value of batteries10.10Practical exercise: TCO model comparing diesel, battery electric and hydrogen
11.1Transition planning11.2Driver training11.3Maintenance training11.4Workshop safety11.5Incident management11.6Performance indicators11.7Charger availability11.8Organisational change management11.9Lessons from pioneering fleets11.10Case study: transition plan for a transport company
12.1Selection of the fleet or corridor12.2Mission analysis12.3Technology selection12.4Design of the hub or depot12.5Connection and energy management12.6Economic analysis of the transition12.7Transition plan12.8Conclusions and future lines of work12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There is no fixed timetable: you progress at your own pace within the intake, so it is compatible with full-time work.
Each module combines theory, guided reading of the original standards and applied exercises. The working software is PTV Visum, Python (Pyomo, pandas), MATLAB/Simulink, DIgSILENT PowerFactory and HOMER Grid, in free, academic or evaluation versions. Practical work is based on real procedures: route-based fleet consumption simulation, sizing of hubs and depots, and total cost of ownership analysis. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: Regulation (EU) 2023/1804, Regulation (EU) 2024/1610, Directive (EU) 2022/362, IEC 61851-23, SAE J3271, ISO 15118-20, ITC-BT-52 of the REBT, Real Decreto 1183/2020.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- An internet connection and a computer capable of running the programme's software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with PTV Visum, Python (Pyomo, pandas), MATLAB/Simulink, DIgSILENT PowerFactory and HOMER Grid, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme's software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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