Course on autonomy and consumption in electric vehicles
Online course of 300 hours in range and consumption in electric vehicles. 6 modules covering key range and consumption concepts, range type-approval procedures, range modelling and estimation, degradation and long-term range, and real-world range testing, 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
Distinguish between type-approved, estimated and real-world range and the causes of deviation.
Apply the WLTP and SAE range type-approval procedures.
Build consumption and range estimation models.
Assess battery degradation and its effect on range.
Design and carry out real-world range tests.
Communicate consumption results rigorously to users.
Develop a complete range and consumption study.
Who it's for
- Consumption and range test engineers
- Connected vehicle data analysts
- Type-approval engineers
- Used battery certification technicians
- Automotive technical journalists
- Electric fleet analysts
- Engineering or science graduates looking to join a car manufacturer
What you'll work with
- Regulation (EU) 2017/1151 (WLTP procedure)
- UN GTR No 15 (Worldwide harmonised Light vehicles Test Procedure)
- SAE J1634 (energy consumption and range testing of battery electric vehicles)
- UN GTR No 22 (in-vehicle battery durability)
- Regulation (EU) 2024/1257 (Euro 7)
- Directive 1999/94/EC (consumer information on fuel economy and CO2 emissions)
- Royal Decree 837/2002 (Spanish rules on fuel consumption and CO2 emissions information)
- ISO 8714 (reference energy consumption and range of electric vehicles)
- A Better Routeplanner (ABRP)
- Python with pandas and scikit-learn
- MATLAB
- Car Scanner ELM OBD2
- AVILOO
6 modules
1.1Type-approved, real-world and on-board estimated range1.2Usable energy and safety reserve1.3Consumption at the plug versus battery consumption1.4Speed, temperature, load and terrain as variables1.5City versus motorway range1.6Range anxiety and user perception1.7From NEDC to WLTP and the EPA cycle1.8Consumption indicators on the instrument panel1.9Mandatory consumption information for buyers1.10Practical exercise: comparing NEDC, WLTP and EPA ranges
2.1The WLTC cycle and vehicle classes2.2Consecutive cycle test to full discharge2.3Shortened test procedure (STP)2.4Measuring recharged energy from the grid2.5Corrections, interpolation and rounding2.6The EPA five-cycle procedure2.7SAE J1634 methodology2.8Differences between the cycle and real-world driving2.9Range tests in a climatic chamber2.10Case study: interpreting a certificate of conformity
3.1Longitudinal energy model of the vehicle3.2On-board range estimator3.3Estimating the energy available in the battery3.4Predictive algorithms using navigation data3.5Machine learning to predict consumption3.6Effect of wind and rain3.7Route elevation and topography3.8Estimation errors and how to communicate them to the driver3.9Route planners with charging stops3.10Lab: consumption model in Python
4.1Calendar and cycling capacity loss4.2State of health and battery warranty4.3Minimum durability required of batteries4.4Effect of fast charging on degradation4.5Manufacturers' hidden capacity buffers4.6Measuring SoH in used vehicles4.7Battery certificates for the used market4.8Influence of climate and usage habits4.9Habits that extend battery life4.10Case study: valuing a used BEV according to SoH
5.1Designing a representative test route5.2OBD loggers and telemetry5.3Measuring energy with power analysers5.4Normalising test conditions5.5Constant-speed range tests5.6Winter and summer campaigns5.7Statistical processing of results5.8Communicating results to consumers5.9Methodologies used in press tests5.10Practical exercise: range test on a mixed route
6.1Vehicle and objectives of the study6.2Road test plan6.3Predictive consumption model6.4Measurement campaign or fleet data6.5Validating the model with real data6.6Deviations from the type-approved value6.7Recommendations for the user or fleet6.8Limitations of the study6.9Report and presentation6.10Final project: final review with the tutor
How you'll learn
A 100% online programme on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine it with your job.
Each module combines theory, guided reading of the original standards and applied exercises. The working software is A Better Routeplanner (ABRP), Python with pandas and scikit-learn, MATLAB, Car Scanner ELM OBD2 and AVILOO, in free, academic or evaluation versions. Work is based on real procedures: a real-world range test on a mixed route, predictive consumption modelling with telemetry data and certifying the battery state of health of a used vehicle. Assessment is continuous by module plus the final project.
Standards covered: Regulation (EU) 2017/1151; UN GTR No 15; SAE J1634; UN GTR No 22; Regulation (EU) 2024/1257; Directive 1999/94/EC; Royal Decree 837/2002; ISO 8714.
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
- No prior qualification is required.
- 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 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with A Better Routeplanner (ABRP), Python with pandas and scikit-learn, MATLAB, Car Scanner ELM OBD2 and AVILOO, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
No prior qualification is required: just an internet connection, 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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