Infrastructure Design Course for Urban EVs
About our
The Urban EV Infrastructure Design Course focuses on the planning and implementation of electric vehicle (EV) charging stations in urban environments. It addresses key aspects such as site selection, energy management, grid integration, and infrastructure design, including charger placement and space optimization. It emphasizes the use of simulation software for charging network planning and grid impact assessment, considering sustainability and user accessibility. The course also includes regulations and standards related to EV charging infrastructure, and the consideration of new technologies such as fast charging. This course provides practical skills in demand assessment, load management, charging station design, and understanding the financial and regulatory aspects of EV infrastructure projects. Prepares professionals for roles such as charging infrastructure planners, EV design engineers, EV project managers, and electric mobility consultants, enhancing their ability to lead the transition to sustainable mobility.
Infrastructure Design Course for Urban EVs
- Format: Online
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
620 $
Competencies and results
What you will learn
1. Advanced Infrastructure Design for Urban Electric Vehicles: Optimization and Sustainability
- Understand and apply methodologies for the design of electric vehicle charging infrastructure in urban environments.
- Analyze the energy needs and charging demand for different types of vehicles and fleets.
- Evaluate the optimal location of charging stations, considering factors such as population density, accessibility, and existing infrastructure.
- Design charging systems that are efficient, safe, and compatible with current and future standards.
- Explore the use of renewable energy and energy storage solutions to power the charging infrastructure.
- Evaluate the environmental impact of the charging infrastructure and develop strategies to minimize its carbon footprint.
- Implement smart energy management technologies to optimize the use of the electrical grid and reduce operating costs.
- Analyze the financial and economic aspects of investing in charging infrastructure, including cost-benefit analysis and models of business.
Understand the relevant regulations and standards for the installation and operation of charging stations.
Study case studies of successful charging infrastructure projects in cities around the world.
Learn to use software and simulation tools for the design and analysis of charging infrastructure.
Develop skills in the planning, management, and maintenance of charging infrastructure for electric vehicles.
Explore future trends in charging infrastructure design, including wireless charging and integration with the smart grid.
Promote sustainability in charging infrastructure design, considering aspects such as material selection, energy efficiency, and waste management.
2. Planning and Development of Urban EV Infrastructure: Design and Operation Strategies
- Fundamentals of electric vehicle (EV) charging infrastructure planning in urban environments.
- Evaluation of energy demand and projection of EV fleet growth.
- Strategic design of charging station locations and distribution, considering population density, points of interest, and mobility needs.
- Selection and specification of charging equipment: types (AC, DC), power levels, and standards.
- Design of electrical infrastructure: substations, distribution networks, and grid connection.
- Integration of renewable energy sources into EV charging infrastructure.
- Implementation of energy management systems and optimization of consumption.
- Design considerations for the accessibility and safety of charging stations.
- Analysis of regulatory and normative aspects related to urban EV infrastructure.
- Environmental and social impact assessment of charging infrastructure.
- Operation and maintenance strategies for charging stations.
- Modeling and simulation of load and demand scenarios.
- Development of business models and financing for EV infrastructure projects.
- Case studies and best practices in the design and operation of urban EV infrastructure.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Design of Urban EV Infrastructures: Planning, Implementation and Optimization
Here is the requested content:
- Understand the fundamentals of strategic planning for electric vehicle (EV) infrastructure in urban environments.
- Evaluate and select optimal locations for charging stations, considering factors such as population density, vehicular traffic, and electrical grid needs.
- Design charging stations, including the specification of equipment (chargers, transformers, energy management systems) and the consideration of regulations and standards.
- Conduct economic feasibility studies for EV infrastructure projects, analyzing costs, revenues, and return on investment.
- Master the techniques for implementing charging stations, from physical installation to connection to the electrical grid.
- Manage EV infrastructure projects, including contractor supervision, quality control, and adherence to deadlines and budgets.
- Optimize the performance of EV infrastructure by monitoring energy consumption and managing of the charging and implementation of energy storage solutions.
Integrate EV infrastructure with renewable energy systems, such as solar power, to reduce the carbon footprint and improve sustainability.
Analyze the environmental and social impacts of EV infrastructure, including air pollution, noise, and accessibility.
Explore future trends in EV infrastructure, such as wireless charging, autonomous electric vehicles, and smart grids.
5. Design of Urban EV Infrastructure: Integration, Design and Energy Efficiency
- Principles of sustainable urban planning and electric mobility.
- Legislation and regulations relevant to electric vehicle (EV) charging infrastructure.
- Charging station design: location, distribution, and space optimization.
- Selection and specification of charging equipment: charger types, power ratings, and standards.
- Integration of EV infrastructure with the urban electricity grid: connection and energy management.
- Charging studies and simulation of electric vehicle flow.
- Design of energy storage systems for EV infrastructure.
- Energy efficiency considerations in the design and operation of EV infrastructure.
- Safety and security aspects of electric vehicle charging facilities.
- Environmental impact and sustainability of EV infrastructure.
- Modeling and simulation of energy demand and its impact on the network.
Intelligent load management and infrastructure optimization.
Cost analysis and economic feasibility of urban EV infrastructure projects.
Case studies of EV infrastructure implementation in urban environments.
6. Design of Urban EV Infrastructures: Planning, Implementation, Optimization and Sustainability
6. Urban EV Infrastructure Design: Planning, Implementation, Optimization, and Sustainability
Understand the fundamentals of electric vehicle (EV) infrastructure in urban environments.
Analyze the charging needs of electric vehicles and their projected energy demand in urban areas.
Evaluate different EV charging technologies (Level 1, Level 2, DC Fast Charging) and their applications in urban environments.
Design the strategic planning and location of EV charging stations, considering factors such as population density, traffic flow, and accessibility.
Integrate EV charging infrastructure with the urban electrical grid, including studying grid capacity and demand management options.
Apply modeling and simulation tools to optimize EV infrastructure design and predict its performance.
Consider sustainability aspects in the design and implementation of EV infrastructure, including the use of renewable energy and minimizing environmental impact.
Analyze the investment, operation, and maintenance costs of EV infrastructure and evaluate its economic viability.
Study the relevant regulations and standards for the implementation of EV infrastructure in urban areas.
Explore emerging trends in EV infrastructure design, such as wireless charging, bidirectional charging, and integration with intelligent management systems.
Who this program is for:
Infrastructure Design Course for Urban EVs
- Engineers with degrees in Civil Engineering, Electrical Engineering, Transportation Engineering, Architecture, or related fields.
- Professionals from companies specializing in electric vehicle (EV) infrastructure development, urban planning, and sustainable mobility project management.
- Urban planners, planners, and managers of urban mobility projects who wish to understand the design and implementation of EV infrastructure.
- Consultants in electric mobility, urban sustainability, and infrastructure development who seek to expand their expertise.
Recommended qualifications: Knowledge Basic knowledge of energy systems, urban planning, and building regulations; Language: Level B2+ in Spanish/English or C1 preferred. Additional resources are available to help you reach the required level if needed.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Introduction to Urban Electric Mobility: Trends and Global Context
1.2 Demand Analysis and Market Projection for Electric Vehicles
1.3 Regulatory Framework and Incentive Policies for EV Infrastructure
1.4 Site Selection and Location Study for Charging Stations
1.5 Types of Charging and Fast Charging Technologies
1.6 Design of the Electrical Distribution Network for EV Infrastructure
1.7 Environmental Impact Assessment and Sustainability in EV Projects
1.8 Modeling and Simulation of Energy Demand in Urban Environments
1.9 User Experience and Charging Interface Design
1.10 Economic and Financial Aspects of EV Infrastructure: Cost-Benefit Analysis
2.2. Analysis of needs and demand for urban EV infrastructure.
2.2. Regulatory and normative framework for EV infrastructure.
2.3. Site selection: criteria and evaluation.
2.4. Charging system design: types and technologies.
2.5. Traffic modeling and load simulation.
2.6. Economic and financial feasibility study.
2.7. Network planning: scalability and expansion.
2.8. Implementation strategies and project management.
2.9. Environmental impact assessment and sustainability.
2.20. Case studies and best practices in planning.
3.3 Introduction to Comprehensive Planning of Urban EV Infrastructure
3.2 Demand Assessment and Selection of Strategic Sites
3.3 Charging Station Design: Types, Capacities, and Technologies
3.4 Integration of Renewable Energies into EV Infrastructure
3.5 Energy Management and Consumption Optimization
3.6 Electrical Grid Design and Grid Connection
3.7 Safety Considerations and Applicable Regulations
3.8 Implementation of Monitoring and Control Systems
3.9 Infrastructure Operations and Maintenance Management
3.30 Financing Strategies and Project Profitability
4.4 EV Infrastructure Design: Charging Network Planning
4.2 Site Selection: Criteria and Analysis
4.3 Charging Station Design: Components and Technologies
4.4 Infrastructure Implementation: Construction and Deployment
4.5 Energy Management: Optimization and Storage
4.6 Renewable Energy Integration: Sustainability
4.7 Infrastructure Optimization: Software and Monitoring
4.8 Regulatory and Legal Aspects
4.9 Case Studies: Best Practices and Real-World Examples
4.40 Profitability Analysis and Return on Investment
5.5 Fundamentals of Urban Electric Mobility: Trends and Challenges
5.5 Analysis of Energy Demand and Electric Vehicle Charging
5.3 Charging Station Design: Types, Technologies, and Standards
5.4 Integration of Renewable Energies into EV Infrastructure
5.5 Design Optimization for Sustainability: Materials and Life Cycle
5.6 Environmental Impact of EV Infrastructure: Assessment and Mitigation
5.7 Smart Charging Network Design: Management and Control
5.8 Modeling and Simulation of Urban EV Infrastructure
5.9 Regulatory and Normative Considerations for EV Design
5.50 Case Studies: Design of Sustainable EV Infrastructure
6.6 Sustainable Design Planning and Strategies for EV Infrastructure
6.2 Implementation of Smart Charging and Electrical Grids
6.3 Optimizing Energy Efficiency in EV Infrastructure
6.4 Integrating Renewable Energy Sources at Charging Points
6.5 Designing Charging Stations for Environmental Sustainability
6.6 Life Cycle Assessment (LCA) and Life Cycle Costing (LCC)
6.7 Waste Management and Recycling in EV Infrastructure
6.8 Modeling and Simulation for Sustainability Optimization
6.9 Regulatory Aspects and Standards for Sustainability
6.60 Case Studies: Successful Implementation and Sustainability Challenges
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).