Master’s in Hybrids & Energy Management Engineering
Online master's programme of 1,900 hours in hybrid vehicle and energy management engineering: 12 modules covering hybrid vehicles and architectures, hybrid system components, modelling and simulation, system sizing, rule-based and optimisation-based energy management strategies, thermal management and emissions, calibration and validation, powertrain safety and control, and type approval and regulation, with an assigned technical tutor.
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
Classify hybrid architectures and their operating modes.
Size the combustion engine, electric machines and battery of a hybrid.
Model hybrid vehicles for fuel consumption simulation.
Design rule-based and optimisation-based energy management strategies.
Calibrate and validate the strategy in simulation and in the vehicle.
Apply the type-approval procedures for hybrid consumption and emissions.
Develop the architecture and energy management strategy of a hybrid vehicle.
Who it's for
- Hybrid systems engineers defining architectures and components.
- Energy management engineers developing supervisory control strategies.
- Hybrid calibration engineers tuning strategies on the bench and on the road.
- Vehicle simulation engineers modelling consumption and emissions.
- Powertrain control engineers working on software, safety and diagnostics.
- Emissions and consumption type-approval engineers handling WLTP and RDE.
- Engineering or science graduates aiming to join car manufacturers.
What you'll work with
- Regulation (EU) 2017/1151 (light-duty vehicle emissions type approval)
- UN Global Technical Regulation No. 15 (WLTP) (worldwide harmonised light vehicles test procedure)
- SAE J1711 (fuel economy measurement of hybrid vehicles)
- ISO 23274-1 (hybrid vehicle exhaust emissions and fuel consumption)
- ISO 6469-3 (EV safety, electrical safety)
- ISO 26262-6 (road vehicle functional safety, software level)
- Regulation (EU) 2019/631 (CO2 emission performance standards for cars and vans)
- UN ECE Regulation No. 101 (CO2 emissions and fuel consumption measurement)
- MATLAB/Simulink
- GT-SUITE
- AVL CRUISE M
- Autonomie
- dSPACE
12 modules · 1900 h
1.1The case for hybridisation1.2Degrees of hybridisation1.348 V mild hybrids1.4Full hybrid vehicles1.5Plug-in hybrid vehicles1.6Range-extended vehicles1.7Market and CO2 regulation1.8Comparison with electric vehicles1.9Sector trends1.10Case study: analysis of three commercial hybrids
2.1Positions P0 to P42.2Series hybrids2.3Parallel hybrids2.4Power-split hybrids2.5Dedicated hybrid transmissions2.6Hybrids with two electric motors2.7Electric all-wheel drive2.8Component integration2.9Architecture selection2.10Practical: comparison of architectures by cycle
3.1Combustion engines for hybrids3.2Atkinson-cycle engines3.3Electric traction machines3.4Traction inverters3.5Power batteries3.6Power DC-DC converters3.7Hybrid vehicle transmissions3.8Blended regenerative braking3.9Vehicle electric auxiliaries3.10Lab: component maps for simulation
4.1Backward and forward models4.2Component models4.3Driver models4.4Driving cycles4.5Simulation in Simulink4.6Available commercial tools4.7Model validation4.8Parametric design studies4.9Emissions simulation4.10Workshop: model of a parallel hybrid
5.1Performance requirements5.2Combustion engine size5.3Required electric power5.4Battery capacity5.5Vehicle electric range5.6Component costs5.7Sizing optimisation5.8Sensitivity to usage5.9Design trade-offs5.10Practical: sizing a plug-in hybrid
6.1Operating modes6.2Start-stop6.3Electric assist to the combustion engine6.4Battery recharging6.5Charge sustaining6.6Charge-depleting strategies6.7State machines6.8Threshold calibration6.9Limitations of the strategy6.10Lab: rule-based strategy
7.1Optimisation by dynamic programming7.2Pontryagin's minimum principle7.3ECMS and the equivalence factor7.4Adaptive ECMS strategy7.5Model predictive control7.6Use of navigation information7.7Reinforcement learning7.8Comparison of strategies7.9Real-time implementation7.10Workshop: adaptive ECMS in Simulink
8.1Engine warm-up8.2Catalyst heating8.3Repeated cold starts8.4Battery thermal management8.5Cabin climate control8.6Hybrid emissions8.7Start calibration8.8Real driving cycles8.9Integrated thermal strategies8.10Practical: catalyst heating strategy
9.1Test bench calibration9.2In-vehicle calibration9.3Drivability calibration9.4Mode transitions9.5Noise and vibration9.6HIL validation9.7Road validation9.8Variant management9.9Calibration tools9.10Case study: calibration of a mode transition
10.1Control architecture10.2Vehicle supervisor10.3System functional safety10.4Torque monitoring10.5System electrical safety10.6Diagnostics and fault codes10.7Degraded operating modes10.8Control software10.9Cybersecurity of the connected system10.10Workshop: torque monitoring concept
11.1WLTP test procedure11.2Testing of plug-in hybrids11.3Utility factor11.4Real driving emissions11.5Fleet CO2 standards11.6Fuel consumption labelling11.7UN ECE Regulation No. 10111.8Vehicle taxation11.9Future regulatory trends11.10Practical: weighted consumption calculation for a PHEV
12.1Vehicle definition12.2Architecture selection12.3System component sizing12.4Simulation model12.5Energy management strategy12.6Optimisation and comparison12.7Validation plan12.8Consumption and emissions assessment12.9Master'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 are no fixed timetables: you progress at your own pace within the intake, so the programme can be combined with full-time work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, GT-SUITE, AVL CRUISE M, Autonomie and dSPACE, in free, academic or evaluation versions. Practical work is based on real procedures: simulating a series-parallel hybrid on the WLTP cycle, developing an energy management strategy with ECMS, and comparing consumption between mild, full and plug-in hybrids. Assessment is continuous for each module, plus the final Master's Thesis.
Standards covered: Regulation (EU) 2017/1151, UN Global Technical Regulation No. 15 (WLTP), SAE J1711, ISO 23274-1, ISO 6469-3, ISO 26262-6, Regulation (EU) 2019/631, UN ECE Regulation No. 101.
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 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 MATLAB/Simulink, GT-SUITE, AVL CRUISE M, Autonomie and dSPACE, 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 university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme 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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