Postgraduate Diploma in Energy per Lap and Degradation Simulation
Online 800 h Postgraduate Diploma in Energy per Lap and Degradation Simulation. 8 modules covering FIA Formula E Technical Regulations, FIA Formula 1 Sporting Regulations and MATLAB/Simulink. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Build vehicle energy models per lap.
Simulate lap times at different levels of fidelity.
Model lithium-ion battery degradation.
Estimate tyre and brake degradation during a race.
Simulate full races using stochastic methods.
Calibrate models with real data and quantify uncertainty.
Support strategic decision-making with simulation.
Who it's for
- Simulation engineer looking to specialise in Energy per Lap and Degradation Simulation.
- Strategy engineer looking to specialise in Energy per Lap and Degradation Simulation.
- Battery engineer looking to specialise in Energy per Lap and Degradation Simulation.
- Performance data analyst looking to specialise in Energy per Lap and Degradation Simulation.
- Modelling engineer looking to specialise in Energy per Lap and Degradation Simulation.
- Track engineer looking to specialise in Energy per Lap and Degradation Simulation.
- Graduates in engineering or sciences seeking to enter motorsport.
What you'll work with
- FIA Formula E Technical Regulations
- FIA Formula 1 Sporting Regulations
- IEC 62660-1
- ISO 12405-4
- SAE J2288
- IEC 61982
- ISO 8855
8 modules · 800 h
1.1Longitudinal equation of motion1.2Aerodynamic and rolling resistance1.3Transmission and inverter efficiencies1.4Speed profiles by circuit1.5Energy integration by sector1.6Quasi-static and dynamic models1.7Sensitive model parameters1.8Input data and its quality1.9Comparison with telemetry data1.10Practical: energy-per-lap model in Python
2.1Point-mass simulators2.2Quasi-static simulation with g-g diagrams2.3Transient full-vehicle simulation2.4Optimal racing line and optimal control2.5Grip and power limits2.6Influence of set-up on energy2.7Convergence and numerical validation2.8Simulation with wind and temperature2.9Comparison of commercial tools2.10Laboratory: lap simulation in OptimumLap
3.1Mechanisms: SEI, plating and loss of active material3.2Calendar and cycling degradation3.3Influence of temperature and C-rate3.4SOH indicators for capacity and resistance3.5Empirical ageing models3.6P2D electrochemical models3.7Cycle life testing3.8Ageing management during the season3.9Effect of degradation on performance3.10Case study: SOH estimation with cycling data
4.1Wear and thermal degradation4.2Models of grip loss per lap4.3Influence of energy on degradation4.4Pad and disc wear4.5Interaction between regeneration and braking4.6Data from free practice sessions4.7Full-stint models4.8Variability between compounds4.9Forecasting tyre crossover4.10Practical: tuning a degradation model per lap
5.1Lap-by-lap simulation5.2Traffic, overtaking and DRS5.3Pit stops and time lost5.4Random neutralisation events5.5Monte Carlo methods5.6Pit stop strategy optimisation5.7Interpreting probabilistic results5.8Scenario visualisation5.9Real-time use during the race5.10Workshop: Monte Carlo race simulator
6.1Parameter identification6.2Least squares optimisation6.3Bayesian parameter estimation6.4Kalman filters for states6.5Correlation between simulator and track6.6Uncertainty management6.7Cross-validation between events6.8Detection of model drift6.9Model documentation6.10Case study: model calibration with track data
7.1Communicating results to the pit wall7.2Scenarios and decision trees7.3Risk versus reward7.4Decisions with incomplete information7.5Visualisation tools for strategy7.6Integration with weather data7.7Reactions to the safety car7.8Post-race debriefing7.9Improving strategy processes7.10Case study: pit stop decision under neutralisation
8.1Definition of the case study8.2Vehicle and energy model8.3Battery degradation model8.4Tyre degradation model8.5Full race simulator8.6Monte Carlo analysis8.7Strategic recommendation for the pit wall8.8Validation and sensitivity8.9Report and presentation8.10Final review with the tutor
How you'll learn
Fully 100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, Python (pandas, SciPy), OptimumLap, GT-SUITE, PyBaMM, in free, academic or evaluation versions. Tests are studied using real procedures for correlating models with session telemetry, cell cycling tests and pre-race strategy simulation. Assessment is continuous across each module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Build vehicle energy models per lap.
Simulate lap times at different levels of fidelity.
Model lithium-ion battery degradation.
Estimate tyre and brake degradation during a race.
Simulate full races using stochastic methods.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient command of Spanish to follow technical standards documentation.
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 comprises 800 hours in total, spread over 6 to 8 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
You will work with MATLAB/Simulink, Python (pandas, SciPy), OptimumLap, GT-SUITE and PyBaMM. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An SEIUM own diploma upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Please check the credit transfer policy when you enrol.
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