Postgraduate Diploma in Control, Regeneration and Driveability
Online 800 h Postgraduate Diploma in Control, Regeneration and Driveability. 8 modules covering ISO 26262 (functional safety of road vehicles), UNECE Regulation No. 13-H (braking of passenger cars, including regenerative braking) and MATLAB/Simulink. Dedicated 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
Explain motor control strategies for synchronous and asynchronous motors.
Configure the vehicle control unit and its CAN communication.
Tune regenerative braking for stability and comfort.
Calibrate torque maps for progressive driveability.
Optimise energy management and range.
Diagnose control faults applying functional safety principles.
Develop a calibration project for an electric conversion.
Who it's for
- Electric vehicle calibration engineer who wants to specialise in Control, Regeneration and Driveability.
- Motor control engineer who wants to specialise in Control, Regeneration and Driveability.
- Propulsion systems diagnostics technician who wants to specialise in Control, Regeneration and Driveability.
- Automotive embedded software engineer who wants to specialise in Control, Regeneration and Driveability.
- Vehicle test engineer who wants to specialise in Control, Regeneration and Driveability.
- Driveability specialist who wants to specialise in Control, Regeneration and Driveability.
- Graduates in engineering or science looking to enter vehicle electrification.
What you'll work with
- ISO 26262 (functional safety of road vehicles)
- UNECE Regulation No. 13-H (braking of passenger cars, including regenerative braking)
- UNECE Regulation No. 100 (electrical safety of electric vehicles)
- ISO 11898 (CAN bus)
- ISO 14229 (UDS diagnostics)
- UNECE Regulation No. 85 (power of electric motors)
- ASAM MCD-2 MC (calibration data description)
8 modules · 800 h
1.1Permanent magnet synchronous motor model1.2Field-oriented vector control1.3Clarke and Park transforms1.4Field weakening at high speed1.5Induction motor control1.6Inverters and PWM modulation1.7Position sensors: resolver and encoder1.8Torque and efficiency maps1.9Thermal and current limits1.10Practical: FOC control simulation in Simulink
2.1VCU architecture2.2Accelerator pedal interpretation2.3Vehicle state management2.4CAN communication with inverter and BMS2.5Programming on open controllers2.6Basic functional safety2.7Fault management and degraded modes2.8Data logging2.9Calibration with software tools2.10Laboratory: configuring a VCU over CAN
3.1Energy recovery principles3.2Battery charging limits3.3Distribution between hydraulic and regenerative braking3.4Regeneration on lift-off3.5Blended braking without original brake booster3.6Single-axle regeneration stability3.7Regeneration on low grip surfaces3.8Efficiency in real driving cycles3.9Driver perception3.10Workshop: calibration of regeneration levels
4.1Concept of driveability and its assessment4.2Pedal response and progressiveness4.3Driveline backlash management4.4Anti-jerk and oscillation control4.5Hill start4.6Simulated automatic creep4.7Driving modes4.8The feel of a classic with an electric motor4.9Noise, vibration and harshness4.10Case study: correcting jerking in a conversion
5.1State of charge estimation5.2Battery state of health5.3Remaining range5.4Integrated thermal management5.5Power limitation due to temperature5.6Powertrain efficiency5.7Pre-heating and preconditioning5.8Charging strategies5.9Auxiliary consumption5.10Practical: range model over the WLTP cycle
6.1Roller bench and power6.2Calibration instrumentation6.3On-road calibration6.4Structured subjective assessment6.5Regeneration and braking tests6.6Low-grip traction tests6.7Torque map iteration6.8Data recording and analysis6.9Calibration documentation6.10Workshop: bench calibration session
7.1Fault codes and diagnosis7.2CAN communication faults7.3Insulation faults7.4Inverter diagnostics7.5Overtemperatures and derating7.6Software updates7.7Electric drivetrain maintenance7.8Connector reliability7.9Incident logging7.10Case study: diagnosing a loss of power
8.1Vehicle and driving objectives8.2Control architecture8.3Torque strategy8.4Regeneration strategy8.5Calibration plan8.6Tests and results8.7Driveability improvements8.8Parameter documentation8.9Report and presentation8.10Final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetables: 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, Vector CANape, Vector CANoe, SavvyCAN, Python (pandas), in free, academic or evaluation versions. Tests are studied using real calibration procedures on a power test bench, CAN data logging in real driving, and pedal response and regeneration tests. Assessment is continuous across modules, 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.
Explain motor control strategies for synchronous and asynchronous motors.
Configure the vehicle control unit and its CAN communication.
Tune regenerative braking for stability and comfort.
Calibrate torque maps for progressive driveability.
Optimise energy management and range.
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 level of Spanish to follow technical regulatory texts.
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 800 hours, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
You work with MATLAB/Simulink, Vector CANape, Vector CANoe, SavvyCAN, Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An in-house SEIUM diploma upon passing the continuous assessment and the integrative project. It 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. Check the credit transfer policy when you enrol.
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