Virtual testing course for electric trains
About our
Virtual Testing Course for Electric Trains
This course provides an immersive experience in the development of virtual tests for electric train systems, using advanced simulations to evaluate their performance and reliability. It focuses on the application of computational simulation in areas such as train dynamics, propulsion systems, and traction control, optimizing design and reducing costs. Explore the use of Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) simulation tools to validate embedded systems and control algorithms, ensuring compliance with railway safety regulations.
The course offers hands-on experience in configuring virtual train models, running test scenarios, and analyzing simulation results. Topics covered include system integrity, energy efficiency, and behavior under extreme conditions. Participants prepare for professional roles such as simulation engineers, testing specialists, and railway system designers, enhancing their ability to innovate and optimize the design of electric trains.
Virtual testing course for electric trains
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
499 $
Competencies and results
What you will learn
1. Validation of Electric Train Systems in Virtual Environments
- Modeling and simulation of electric train systems in virtual environments.
- Design and analysis of control systems for electric trains.
- Validation of software and hardware for electric train systems.
- Testing and certification of electric train systems.
- Application of simulation and data analysis tools.
- Understanding the principles of electromechanics applied to railway systems.
- Study of railway safety regulations and standards.
- Evaluation of the performance and energy efficiency of electric trains.
- Failure analysis and predictive maintenance in electric train systems.
- Research into emerging technologies in the field of electric trains (e.g., autonomous driving).
2. Simulation and Analysis of Virtual Electric Railway Systems
- Modeling and simulation of electric railway systems using specialized software.
- Principles of electric train dynamics and their components, including motors, transmission systems, and control systems.
- Analysis of the interaction between the train and the infrastructure, such as tracks and overhead lines.
- Optimization of energy performance and efficiency of electric railway systems.
- Design of control and automation systems for electric trains.
- Evaluation of the safety and reliability of virtual electric railway systems.
- Application of simulation techniques for railway traffic planning and management.
- Identification and solution of problems in electric railway systems through simulation.
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. Evaluation of Key Components of Electric Trains in Virtual Simulations
- Identify and evaluate the dynamic behavior of critical components in electric trains using virtual simulations, including the analysis of flap-lag-torsion couplings, which affect stability and overall performance.
- In-depth study of aerodynamic phenomena such as whirl flutter, crucial for the safety and structural integrity of high-speed trains, determining their effects in simulations.
- Analyze the factors that contribute to fatigue of components, anticipating failures and optimizing the service life of electric trains through simulation models.
- Apply finite element (FE) simulation to dimension and optimize the construction of laminates in composites, considering specific loads and service conditions.
- Evaluate the design and strength of joints and bonded joints in electric trains using FE, ensuring structural integrity and long-term durability.
Implement damage tolerance techniques in virtual simulations to evaluate the capacity of components to withstand damage and continue operating safely.
Integrate NDT (Non-Destructive Testing) methods such as UT/RT/thermography into simulations for early failure detection and material integrity analysis.
5. Performance Optimization in Virtual Electric Trains
5. Performance Optimization in Virtual Electric Trains
- Identify and understand critical vibration modes: flap-lag-torsion couplings, whirl flutter, and their impact on structural integrity. Evaluate fatigue susceptibility and establish mitigation strategies.
- Apply finite element analysis (FEA) design techniques for dimensioning components in composite materials. Study the strength of structural and bonded joints under different loads and operating conditions.
- Integrate damage tolerance methodologies to evaluate crack propagation and the remaining service life of components. Apply Non-Destructive Testing (NDT) techniques such as ultrasound (UT), radiography (RT), and thermography for the early detection of defects and the evaluation of structural integrity.
6. Failure Analysis and Optimization in Virtual Models of Electric Trains
6. Failure Analysis and Optimization in Virtual Models of Electric Trains
- Identify and evaluate structural failures in virtual models of electric trains, focusing on flap-lag-torsion couplings, as well as whirl flutter and fatigue phenomena.
- Apply finite element (FE) analysis techniques for the dimensioning of electric train components manufactured with composite materials, including the study of joints and bonded joints.
- Develop and implement damage tolerance methodologies, and use non-destructive testing (NDT) techniques such as UT (ultrasound), RT (radiography), and thermography for the inspection and evaluation of the structural integrity of electric trains.
Who this program is for:
Virtual testing course for electric trains
- Engineers with degrees in Electrical Engineering, Electronics, Computer Science, Telecommunications, or related disciplines.
- Professionals from railway companies, train manufacturers, systems providers, and transport operators.
- Specialists in railway systems design, software engineering, train control, and railway safety seeking to expand their knowledge.
- Technical personnel from testing and validation, maintenance engineering, and project management departments related to trains Electrical systems.
Recommended Requirements: Basic knowledge of electrical systems, programming, and communication networks; Proficiency in Spanish (English is a plus). Supplementary materials are provided to enhance your knowledge.
- 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.
2.1 Fundamentals of Electric Train Simulation
2.2 Modeling Key Components: Motors, Converters, Control Systems
2.3 Virtual Simulation Environments for Railway Systems
2.4 Model Validation: Accuracy and Reliability
2.5 Case Studies: Simulation of Real-World Scenarios
2.6 Railway System Validation Methodologies
2.7 Data Integration and Results Analysis
2.8 Simulation Tools and Software
2.9 Quality Assurance in Simulation
2.10 Challenges and Future Trends in Virtual Validation
2. Introduction to Virtual Electric Railway Simulation
3. Modeling of Electric Railway Systems
4. Simulation of Railway Electrical Circuits and Components
5. Train Dynamics in Virtual Environments
6. Control and Automation in Railway Simulations
7. Results Analysis and Model Validation
8. Data Integration and Visualization in Simulation
9. Simulation of Faults and Contingencies in Railway Systems
20. Performance Optimization in Virtual Simulations
22. Practical Cases and Applications of Railway Simulation
3.3 Introduction to Virtual Simulation of Electric Trains
3.2 Advantages of Virtual Testing in the Railway Industry
3.3 Key Tools and Software for Simulation
3.4 Types of Virtual Models: 3D, 2D, and 3D
3.5 Case Studies and Practical Examples
2.3 Fundamentals of Electric Railway System Simulation
2.2 Design of Key Components: Motors, Power Supply Systems
2.3 Creation and Configuration of Virtual Environments
2.4 Systems Integration: Control and Communication
2.5 Model Validation and Results Analysis
3.3 Virtual Testing Methodologies for Trains
3.2 Functional and Performance Testing
3.3 Simulation of Operating Scenarios and Extreme Conditions
3.4 Design of Experiments and Statistical Analysis
3.5 Interpretation of Results and Failure Reporting
4.3 Evaluation of Motors and Traction Systems
4.2 Analysis of Braking and Safety Systems
4.3 Study of Control and Automation Systems
4.4 Evaluation of Power Supply Systems
4.5 Analysis of Durability and reliability of components
5.3 Energy performance optimization
5.2 Improvement of propulsion system efficiency
5.3 Reduction of consumption and operating costs
5.4 Optimization of onboard energy management
5.5 Scenario simulations for optimization
6.3 Identification and analysis of faults in virtual models
6.2 Simulation of faults and emergency scenarios
6.3 Optimization strategies for reliability
6.4 Continuous improvement and predictive maintenance
6.5 Risk analysis and fault mitigation
7.3 Conceptual design and modeling of electric trains
7.2 Design verification and regulatory compliance
7.3 Integration of systems and subsystems
7.4 Validation testing and performance analysis
7.5 Design documentation and traceability
8.3 Simulation of electric train operation
8.2 Analysis of control and automation systems
8.3 Operational testing under real conditions
8.4 Optimization of performance and efficiency
8.5 Conclusions and future perspectives
4.4 Introduction to the virtual validation of electric trains.
4.2 Fundamentals of simulation for validation.
4.3 Tools and software for virtual validation.
4.4 Virtual model validation process.
4.5 Validation of control and automation systems.
4.6 Validation of electric propulsion systems.
4.7 Validation of safety and protection systems.
4.8 Case study: Validation of a specific electric train.
4.9 Challenges and trends in virtual validation.
4.40 Reporting and documentation methodologies.
2.4 Introduction to the simulation of electric railway systems.
2.2 Modeling of electric traction systems.
2.3 Modeling of power supply and distribution lines.
2.4 Simulation of operating scenarios and load conditions.
2.5 Energy efficiency and consumption analysis. 2.6 Failure simulation and performance analysis under contingencies.
2.7 Tools and software for railway simulation.
2.8 Case study: Simulation of a specific railway network.
2.9 Simulation optimization for different objectives.
2.40 Interpretation of results and report generation.
3.4 Fundamentals of virtual testing in railway engineering.
3.2 Types of virtual tests and their application.
3.3 Design of effective virtual tests.
3.4 Simulation of performance and durability tests.
3.5 Virtual testing of safety systems.
3.6 Virtual electromagnetic compatibility (EMC) testing.
3.7 Use of data and analysis of results in virtual tests.
3.8 Integration of virtual tests into the project lifecycle.
3.9 Tools and technologies for virtual testing. 3.40 Evaluation and validation of test results.
4.4 Identification of key components in electric trains.
4.2 Modeling and simulation of individual components.
4.3 Evaluation of traction motors in simulations.
4.4 Evaluation of converters and control systems.
4.5 Evaluation of energy storage systems (batteries).
4.6 Simulation of interactions between components.
4.7 Analysis of component performance and reliability.
4.8 Optimization of components in simulations.
4.9 Tools and software for component evaluation.
4.40 Reporting of results and simulation-based decision-making.
5.4 Strategies for optimizing performance in electric trains.
5.2 Optimization of propulsion systems.
5.3 Optimization of energy consumption and efficiency.
5.4 Optimization of energy management.
5.5 Optimization of control systems.
5.6 Train configuration optimization.
5.7 Simulation of optimization scenarios.
5.8 Tools and techniques for virtual optimization.
5.9 Results analysis and improvement evaluation.
5.40 Case study: Optimization of the performance of a specific train.
6.4 Identification of failure modes in virtual models.
6.2 Root cause analysis in simulations.
6.3 Simulation of failures in traction systems.
6.4 Simulation of failures in control and safety systems.
6.5 Fault propagation analysis.
6.6 Fault mitigation techniques.
6.7 Optimization of reliability and availability.
6.8 Tools and software for fault analysis.
6.9 Case studies on fault analysis in electric trains.
6.40 Reporting of results and recommendations.
7.4 Design of electric trains in virtual environments.
7.2 3D Modeling and Component Design
7.3 Propulsion and Control System Design
7.4 Design Verification through Simulation
7.5 Performance and Safety Simulation
7.6 Design Optimization
7.7 Design Verification under Extreme Conditions
7.8 Design and Verification Tools and Software
7.9 Virtual Design and Verification Case Studies
7.40 Integration of Virtual Design into the Product Lifecycle
8.4 Principles of Virtual Testing in Electric Trains
8.2 Creation of Virtual Test Scenarios
8.3 Testing Propulsion and Control Systems
8.4 Testing Safety and Protection Systems
8.5 Performance and Energy Efficiency Testing
8.6 Electromagnetic Compatibility Testing
8.7 Automation and Scripting in Virtual Testing 8.8 Tools and software for virtual testing.
8.9 Analysis and reporting of test results.
8.40 Integration of virtual testing into train development.
5.5 Modeling and Simulation of Propulsion Systems in Virtual Electric Trains
5.5 Energy Efficiency and Consumption Analysis in Virtual Environments
5.3 Optimization of Power Distribution and Control in Simulations
5.4 Thermal Management and Cooling in Virtual Models
5.5 Design for Reliability and Durability in Simulations
5.6 Integration of Control and Automation Systems in Virtual Environments
5.7 Data Analysis and Performance Metrics in Simulation
5.8 Tools and Methodologies for Performance Optimization
5.9 Case Studies: Optimization of Electric Trains in Different Scenarios
5.50 Evaluation of Optimization Strategies and Recommendations
6.6 Introduction to Virtual Validation of Electric Trains
6.2 Virtual Environments: Simulation vs. Reality
6.3 Modeling of Electric Train Systems
6.4 Validation Tools and Software
6.5 Validation Criteria and Methods
6.6 Case Study: Validation of a Specific System
2.6 Fundamentals of Electric Railway Simulation
2.2 Modeling of Railway Electrical Components
2.3 Simulation of Electric Traction Systems
2.4 Analysis of Results and Key Parameters
2.5 Simulation of Operational Scenarios
2.6 Practical Simulation Examples
3.6 Fundamentals of Virtual Testing
3.2 Design of Virtual Tests for Electric Trains
3.3 Implementation of Virtual Tests
3.4 Analysis of Results and Diagnosis
3.5 Integration of Virtual Tests into the Design Process
3.6 Optimization of the Testing Process
4.6 Evaluation of Key Components: Motors
4.2 Evaluation of Key Components: Batteries
4.3 Evaluation of Components Key: Control Systems
4.4 Virtual Evaluation Methodologies
4.5 Interpretation of Evaluation Results
4.6 Design Improvement Based on Evaluation
5.6 Performance Parameters in Electric Trains
5.2 Electrical Design Optimization
5.3 Control System Optimization
5.4 Energy Management Optimization
5.5 Optimization Tools and Techniques
5.6 Optimization Case Studies
6.6 Failure Analysis in Virtual Models
6.2 Identification of Weak Points
6.3 Implementation of Mitigation Strategies
6.4 Design Optimization for Resilience
6.5 Failure Analysis in Different Scenarios
6.6 Failure Analysis Case Studies
7.6 Design of Electric Trains in Virtual Environments
7.2 Design Verification
7.3 Component Integration
7.4 Simulation-Oriented Design
7.5 Virtual Design Tools and Techniques
7.6 Example Design and Verification Practice
8.6 Fundamentals of Virtual Testing
8.2 Designing Virtual Tests
8.3 Implementing Virtual Testing
8.4 Analyzing Test Results
8.5 Integrating Virtual Testing into the Project Lifecycle
8.6 Design Improvements Based on Testing
- 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”).