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CourseMotorcycles & 2-Wheelers Applications open

Course on autonomy and energy efficiency in e-motorcycles

Online course of 300 hours in range and energy efficiency for electric motorcycles, structured in 6 modules covering energy consumption, range measurement, component efficiency, efficiency improvement and route planning, with an assigned technical tutor.

Duration3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Model the energy consumption of an electric motorcycle.

02

Interpret range measurement cycles.

03

Calculate the efficiency of each driveline component.

04

Propose measures to increase efficiency.

05

Plan routes with range in mind.

06

Analyse fleet consumption data.

07

Develop an efficiency improvement project.

Profile

Who it's for

  • Electric vehicle engineers.
  • Energy efficiency engineers.
  • Test technicians.
  • Electric fleet managers.
  • Mobility data analysts.
  • Electric motorcycle technicians.
  • Engineering or science graduates looking to enter electric motorcycle manufacturing.
Standards & tools

What you'll work with

  • ISO 13064-1 (battery-electric mopeds and motorcycles, vehicle operation)
  • ISO 13064-2 (battery-electric mopeds and motorcycles, safety specifications)
  • Global Technical Regulation No. 2 (WMTC) (worldwide harmonised motorcycle test cycle)
  • Delegated Regulation (EU) No 134/2014 (environmental and propulsion performance requirements)
  • UN/ECE Regulation No. 75 (pneumatic tyres for motorcycles and mopeds)
  • Regulation (EU) No 168/2013 (approval and market surveillance of L-category vehicles)
  • MATLAB/Simulink
  • ABRP (A Better Routeplanner)
  • Dewesoft X
  • ANSYS Fluent
  • Python with pandas
Syllabus

6 modules

  1. 1.1Rolling resistance
  2. 1.2Aerodynamic drag and frontal area
  3. 1.3Gradient resistance
  4. 1.4Inertia during acceleration
  5. 1.5Driveline losses
  6. 1.6Consumption in Wh per km
  7. 1.7Influence of speed
  8. 1.8Influence of temperature
  9. 1.9Auxiliary consumption
  10. 1.10Workshop: consumption model based on resistive forces
  1. 2.1Type-approval cycles
  2. 2.2The WMTC cycle and its phases
  3. 2.3Range in urban use
  4. 2.4Range on the open road
  5. 2.5Differences between test cycle and real use
  6. 2.6Logging with apps
  7. 2.7Chassis dynamometer testing
  8. 2.8Controlled road testing
  9. 2.9Sources of error
  10. 2.10Practical: range test on a mixed route
  1. 3.1Battery efficiency
  2. 3.2Inverter efficiency
  3. 3.3Motor efficiency
  4. 3.4Transmission efficiency
  5. 3.5Efficiency maps
  6. 3.6Optimum operating point
  7. 3.7Charging losses
  8. 3.8Efficient silicon carbide semiconductors
  9. 3.9Weight reduction
  10. 3.10Lab: calculating driveline efficiency
  1. 4.1Aerodynamic fairings and riding position
  2. 4.2Low-resistance tyres
  3. 4.3Tyre pressure
  4. 4.4Optimised regeneration by mode
  5. 4.5Eco riding modes
  6. 4.6Efficient riding techniques
  7. 4.7Battery thermal management
  8. 4.8Efficiency software updates
  9. 4.9Efficiency-focused preventive maintenance
  10. 4.10Case study: proposals to increase range by 15%
  1. 5.1Route planning
  2. 5.2Charging points along the route
  3. 5.3Range estimation on the dashboard
  4. 5.4Range anxiety
  5. 5.5Riding in the mountains
  6. 5.6Riding in winter
  7. 5.7Long trips on an electric motorcycle
  8. 5.8Fleet data
  9. 5.9Efficiency indicators
  10. 5.10Case study: planning a 300 km trip
  1. 6.1Defining the vehicle and its use
  2. 6.2Consumption model
  3. 6.3Baseline measurement
  4. 6.4Identifying losses
  5. 6.5Improvement proposals
  6. 6.6Quantifying the savings
  7. 6.7Savings validation plan
  8. 6.8Recommendations for the user
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so you can combine it with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, ABRP (A Better Routeplanner), Dewesoft X, ANSYS Fluent and Python with pandas, in free, academic or evaluation versions. Testing is studied through real procedures for range testing on mixed routes, energy consumption modelling and analysis of electric fleet data. Assessment is continuous per module plus the final project.

Standards covered: ISO 13064-1, ISO 13064-2, Global Technical Regulation No. 2 (WMTC), Delegated Regulation (EU) No 134/2014, UN/ECE Regulation No. 75, Regulation (EU) No 168/2013.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 13064-1, ISO 13064-2 and GTR No. 2 (WMTC) applied to real cases, not as a theoretical annex.
Industry software:MATLAB/Simulink, ABRP (A Better Routeplanner), Dewesoft X, ANSYS Fluent and Python with pandas, in free, academic or evaluation versions.
Final project:an energy efficiency improvement project for a defined electric motorcycle, from consumption model and baseline measurement to quantified savings and validation plan, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Define vehicle and use
Set the electric motorcycle and the duty cycle to be analysed.
Build the consumption model
Model resistive forces and driveline losses and take a baseline measurement.
Identify losses
Pinpoint where energy is lost across battery, inverter, motor and transmission.
Propose and quantify improvements
Define measures such as aerodynamics, tyres and regeneration and quantify the savings.
Final project
Present the efficiency project with validation plan and user recommendations.
Career opportunities

Where this takes you

Electric vehicle engineerEnergy efficiency engineerTest technicianElectric fleet managerMobility data analystElectric motorcycle technician
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • 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.

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FAQ

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 MATLAB/Simulink, ABRP (A Better Routeplanner), Dewesoft X, ANSYS Fluent and Python with pandas, 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; you need an internet connection, a computer capable of running 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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