Lap Time Simulation and Driver-in-the-Loop Engineering
About our Lap Time Simulation and Driver-in-the-Loop Engineering
Lap Time Simulation & Driver-in-the-Loop Engineering
focuses on the advanced integration of multi-physics models and control algorithms in virtual vehicles to optimize sim-to-track correlation, combining nonlinear dynamics, telemetry, real-time modeling, and HIL/SIL techniques. This multidisciplinary approach involves key areas such as vehicle dynamics, CFD simulation, adaptive control, and embedded systems using CAN, MIL-STD-1553 protocols, and software standards compliant with DO-178C to ensure accuracy and reproducibility in eVTOL and UAM development environments. The validation of control strategies in high-fidelity simulators allows evaluating the impact on performance and safety in real and simulated scenarios, aligning processes with AGILE and MBD methodologies.
Specialized laboratories enable advanced data acquisition, sensor integration, and vibration and acoustic analysis, ensuring safety traceability through compliance with applicable national and international aviation regulations. Interoperability between Driver-in-the-Loop simulators and SIL/HIL environments facilitates certification under ARP4754A and ARP4761, promoting training and employability in roles such as simulation engineers, validation engineers, embedded systems engineers, functional safety engineers, aerospace project managers, and virtual test pilots. This comprehensive ecosystem drives innovation in the design and validation of aeronautical systems.
Lap Time Simulation and Driver-in-the-Loop Engineering
- Format:
- Duration:
- Time: 1900 H
- Practices: Consult
- Language:
- Credits:
- Registration date: 24-08-2026
- Start date: 18-10-2026
- Available places: 3
3,100 $
Skills and results
What you will learn
- Analyze the interaction between Lap Time Simulation and Driver-in-the-Loop to optimize the convergence between simulation and driving and understand the influence of track dynamics on lap time.
- Size suspension components and transmission with FE to optimize lap time and improve simulation reliability.
- Implement calibration in Driver-in-the-Loop and validation with track data to ensure convergence between simulation and real performance.
2. Lap Time Simulation Engineering: Advanced Vehicle Analysis and Simulation-to-Track Correlation
- Analyze the correlation between lap time simulation and track data, including calibration of vehicle dynamics models and validation with telemetry.
- Size laminates in composites, joints, and bonded joints with FE.
- Implement damage tolerance and NDT (UT/RT/thermography) for structural integrity verification and simulation model validation.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from model conception to final validation, applying user-centered methodologies. You will develop competencies in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions aligned with current industry standards.
4. Lap Time Simulation and Driver-in-the-Loop: Performance Engineering and Simulation-to-Track Validation
- Analyze lap time couplings, Driver-in-the-Loop, and latencies in simulation-track correlation.
- Size vehicle models and control systems in real time with co-simulation to achieve realistic lap times and computational performance.
- Implement validation and verification of simulation-track correlation using track datasets and NDT (UT/RT/thermography) for calibration and discrepancy detection.
5. Lap Time and Driver-in-the-Loop Simulation: Vehicle Optimization and Simulation-to-Track Validation
- Analyze couplings between vehicle dynamics–Driver-in-the-Loop–lap times with latency, synchronization, and stability control.
- Size multibody vehicle models, powertrains, and co-simulation between simulators and track validation.
- Implement performance optimization and robustness through HIL and sensitivity analysis against track conditions and tire wear.
6. Lap Time Simulation & Driver-in-the-Loop Engineering: Virtual Vehicle Development and Validation via Sim-to-Track Correlation
6. Lap Time Simulation & Driver-in-the-Loop Engineering: Development and Validation of Virtual Vehicles in Sim-to-Track Correlation
- Master the fundamentals of lap time simulation and its application in vehicle development.
- Understand the Driver-in-the-Loop (DIL) methodology and its integration into the design process.
- Explore leading simulation tools and software for vehicles, including tire simulation, aerodynamics, and suspension.
- Learn to create accurate virtual vehicle models, calibrated and validated through sim-to-track correlation.
- Analyze and optimize vehicle performance under different track conditions and driving scenarios.
- Develop skills in interpreting simulation results and making informed decisions.
- Apply lap time simulation and DIL for race strategy optimization, prototype development, and design analysis.
- Study the influence of vehicle parameters (engine, transmission, aerodynamics, etc.) on lap time.
- Become familiar with on-track instrumentation and data collection for model validation.
- Deepen the correlation of simulated data with real track data to ensure model accuracy.
- Learn to use simulation to evaluate the impact of different vehicle modifications.
- Understand the principles of real-time simulation and its application in DIL.
- Develop skills in creating realistic driving scenarios and evaluating the driver experience.
- Learn about the challenges and best practices in implementing DIL systems.
- Apply the acquired knowledge to optimize vehicle design and performance.
Who this program is for:
Lap Time Simulation and Driver-in-the-Loop Engineering
- Engineers with a degree in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related disciplines who wish to deepen their knowledge in vehicle performance simulation and analysis.
- Professionals working in the rotorcraft/eVTOL OEM industry, MRO (Maintenance, Repair, and Overhaul), specialized consulting firms, or technology centers focused on vehicle development and optimization.
- Experts and technicians in areas such as Flight Test, aeronautical certification, avionics, flight control, and vehicle dynamics, who seek to acquire advanced knowledge and specific skills in simulation and sim-to-track correlation.
- Regulators, aviation authorities, and professionals involved in the development and regulation of Urban Air Mobility (UAM) and eVTOL, who require key competencies in compliance and design validation.
Suggested prior knowledge: Basic knowledge in aerodynamics, control systems, and vehicle structures is recommended.
Language level: A English/Spanish level of B2+ / C1 is required. We offer bridging tracks for those who need to improve their language skills.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the very first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor test bench, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
- TFM oriented to evidence: safety case, test plan, compliance dossier, and operational limits.
- Industry mentoring: instructors with experience in rotorcraft, tiltrotor, eVTOL/UAM, and flight test.
- Flexible modality (hybrid/online), international cohorts, and support from SEIUM Career Services.
- Ethics and safety: safety-by-design approach, cyber-OT, DIH, and compliance as pillars.
1.1 Fundamentals of Lap Time Simulation and Driver-in-the-Loop: definition, objectives, scope, and terminology
1.2 DIL architectures: Driver-in-the-Loop, Hardware-in-the-Loop, and Software-in-the-Loop, interfaces, and synchronization
1.3 Vehicle models for Lap Time: dynamic and kinematic models, parameter calibration, and validation
1.4 Tire models and driving dynamics: grip curves, slip, temperature, and wear
1.5 Scenario, track, and race condition design: geometry, sectors, surface conditions, and weather
1.6 Instrumentation and data management: sensors, telemetry, logs, data integrity, and MBSE/PLM
1.7 Simulation validation and verification: correlation metrics, acceptance criteria, and benchmarking
1.8 Experimental design for performance: DoE, repetitions, uncertainty, sensitivity, and robustness
1.9 Development integration and project governance: workflows, change control, and traceability
1.10 Case study: validation of a virtual car on a real track, go/no-go, and risk matrix
2.1 Introduction to Lap Time Simulation (LTS) and Driver-in-the-Loop (DIL) in naval environments: concepts, applications, and scope
2.2 Simulation architectures: HIL/SIL/MIL, bridge and cockpit simulators, integration with real hardware
2.3 Vessel and environment modeling: hull dynamics, hydrodynamics, propulsion, waves, and wind
2.4 Integration of sensors and actuators: GNSS, IMU, thruster encoders, propeller sensors, telemetry
2.5 Validation and sim-to-track correlation: comparison methods, statistical metrics, and acceptance criteria
2.6 Hydrodynamic model calibration and tuning: coefficient estimation, self-correction, and verification
2.7 Experimental design for naval performance: test plans, maneuvering scenarios, and lap times
2.8 Safety, standards, and ethics in performance simulation: risk management, redundancies, certifications
2.9 Marketing and SEO for naval courses: keywords, content structure, meta-tagging, linking
2.10 Case study: go/no-go with risk matrix for LTS/DIL projects in maritime environments
3.1 Fundamentals of Lap Time Simulation (LTS) and Driver-in-the-Loop (DIL): concepts, objectives, and scope
3.2 Simulation architectures for LTS: software, Hardware-in-the-Loop (HIL) and Driver-in-the-Loop (DIL), data integration
3.3 Vehicle models for LTS: longitudinal and lateral dynamics, powertrain, aerodynamics, and weight distribution
3.4 Metrics and KPIs in LTS: lap time, sector times, consistency, simulation accuracy, and uncertainty analysis
3.5 Sim-to-track correlation: scenario design, model calibration, and validation criteria with real data
3.6 Data management for LTS/DIL: capture, cleaning, data quality, versioning, and traceability
3.7 Test scenario design: track conditions, weather, tires, wear, chassis and electronics configurations
3.8 Verification and validation of LTS and DIL models: regression testing, sensitivity analysis, and robustness against variations
3.9 Safety, ethics, and operations in DIL: operational limits, risk mitigation, and safety protocols
3.10 Case study: go/no-go with risk matrix for LTS and DIL session
Module 4 - Introduction to Naval Sensor Engineering: purpose, scope, and roles on maritime platforms
4.1 Introduction to Lap Time Simulation (LTS) and Driver-in-the-Loop (DIL) for naval platforms: concepts, scope, and benefits
4.2 LTS-DIL simulation architectures in marine environments: simulators, Hardware-in-the-Loop (HIL), and Software-in-the-Loop (SIL)
4.3 Data collection, calibration, and management: sensors, telemetry, operational maps, and environmental conditions
4.4 Naval dynamics modeling for LTS: kinematics, hydrodynamics, resistance, trim, and wind and wave effects
4.5 Test and training scenario design: routes, docking maneuvers, channels, and marine variables
4.6 Model validation: correlation criteria and metrics for similarity between simulation and real behavior
4.7 User and DIL interfaces: command bridge, controls, haptic feedback, and pilot experience
4.8 Performance optimization: lap time metrics, stability, energy consumption, and component wear
4.9 Integration with naval development processes and quality: MBSE/PLM, traceability, change management
4.10 Case clinic: go/no-go with risk matrix
5.1 Introduction to Lap Time Simulation (LTS) and Driver-in-the-Loop (DIL)
5.2 Principles of Lap Time Simulation
5.3 Vehicle Component Modeling and Simulation
5.4 DIL Setup and Calibration for Optimization
5.5 Data Analysis and Visualization of LTS and DIL Results
5.6 Vehicle Parameter Optimization with LTS and DIL
5.7 Sim-to-Track Correlation: Model Validation
5.8 LTS and DIL Tools and Software
5.9 Case Studies: Practical Applications of LTS and DIL
5.10 Future Trends in LTS and DIL for Vehicle Performance
6.1 Fundamentals of Lap Time Simulation (LTS): Key concepts and applications.
6.2 Introduction to Driver-in-the-Loop (DIL): Components and benefits.
6.3 The simulation cycle: LTS and DIL process.
6.4 Key variables and parameters in vehicle simulation.
6.5 Simulation tools and software: overview.
6.6 The role of simulation in vehicle development and optimization.
6.7 Principles of sim-to-track correlation: first steps.
6.8 Introduction to track data acquisition and analysis.
6.9 Driver-in-the-Loop: Basic setup and preparation.
6.10 Introductory case studies: Applications of LTS and DIL.
7.1 Introduction to Lap Time Simulation (LTS) and Driver-in-the-Loop (DIL): Fundamentals and Concepts
7.2 Vehicle Modeling: Vehicle Dynamics and Key Components
7.3 Lap Time Simulation (LTS): Methodology and Applications
7.4 Driver-in-the-Loop (DIL): Human-Machine Integration and Driving Experience
7.5 Vehicle Optimization: Strategies and Techniques with LTS and DIL
7.6 Validation and Calibration: Sim-to-Track Correlation
7.7 Tools and Software: Introduction and Practical Use
7.8 Results Analysis: Interpretation and Decision-Making
7.9 Case Studies: Real Applications and Practical Examples
7.10 Future Trends: LTS and DIL in the Automotive and Competition Industry
8.1 Introduction to Lap Time Simulation (LTS) and Driver-in-the-Loop (DIL): Fundamentals and applications.
8.2 LTS Setup and Calibration: Vehicle modeling and track environments.
8.3 Data Analysis in LTS: Interpretation of results and performance metrics.
8.4 Vehicle Optimization with LTS: Parameter adjustment and strategy design.
8.5 Driver-in-the-Loop Integration: Driving simulation and experience evaluation.
8.6 Sim-to-Track Correlation: Model validation and simulation fine-tuning.
8.7 LTS and DIL Tools and Software: Review of available platforms and technologies.
8.8 Practical Applications: Examples of vehicle optimization in different contexts.
8.9 Limitations and Challenges: Considerations on simulation accuracy and scope.
8.10 Future of LTS and DIL: Emerging trends and development perspectives.
9.1 Introduction to Lap Time Simulation (LTS) and Driver-in-the-Loop (DIL)
9.2 Fundamental principles of LTS and DIL: Concepts and Terminology
9.3 Vehicle Modeling: Aerodynamics, Tires, Suspension, and Powertrain
9.4 Simulation Environment: Tracks, Weather Conditions, and Surfaces
9.5 Driver-in-the-Loop: Human-Machine Interaction and Driving Experience
9.6 Vehicle Optimization: Parameter Adjustment and Configuration Strategies
9.7 Sensitivity Analysis: Identification of Key Performance Factors
9.8 Tools and Software: Introduction to Simulation Platforms
9.9 Working Methodology: Workflow in LTS and DIL
9.10 Case Studies: Practical Examples of Vehicle Optimization
10.1. Fundamental Concepts of Lap Time Simulation (LTS) and Driver-in-the-Loop (DIL)
10.2. Importance of LTS and DIL in the Automotive and Motorsport Industry
10.3. Key Components of a Lap Time Simulation System
10.4. Structure and Functions of a Driver-in-the-Loop Environment
10.5. Benefits and Applications of LTS and DIL in Vehicle Development
10.6. Common Software and Hardware for LTS and DIL
10.7. Basic Workflow in an LTS and DIL Project
10.8. Critical Parameters and Variables in LTS Simulations
10.9. Introduction to Sim-to-Track Correlation
10.10. Case Studies: Success Examples in LTS and DIL
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (according to licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, DO-178C planning toolchains.
- SEIUM Laboratories: scale rotor test bench, vibration/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 information retrieval systems is valued.
- Documentation: Updated CV, academic transcripts, SOP/purpose essay, project or code samples (optional).
- Process: application → technical profile and experience evaluation → technical interview → practical case review → final decision → enrollment.
- Fees:
- Single payment: 10% discount.
- 3-installment payment: no fees; 30% upon enrollment + 2 equal monthly payments of the remaining 35%.
- Monthly payment: available with a 7% fee on the total; annual review.
- Scholarships: based on academic merit, financial situation, and promotion of inclusion; agreements with industry companies for partial or full scholarships.
Check “Calendar & calls”, “Scholarships & financial aid”, and “Fees & financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us and we’ll get back to you as soon as possible.
F. A. Q
Frequently Asked Questions
Yes, we hold 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 consortia.