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Master'sMotorcycles & 2-Wheelers Applications open

Master’s in E-Motorcycle Energy Management and Charging Engineering

Online master's programme of 1,900 hours in energy management and charging engineering for electric motorcycles. 12 modules covering consumption modelling, range estimation, on-board energy management and charging, IEC 61851 and ISO 15118 charging, infrastructure, grid integration and fleet management, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Model the energy consumption of electric motorcycles.

02

Design energy management and range estimation strategies.

03

Specify on-board chargers and charging systems.

04

Apply the standards for charging modes and connectors.

05

Design charging infrastructure for two-wheeled vehicles.

06

Integrate charging with the grid, self-consumption and fleet management.

07

Develop an energy management and charging system for an electric motorcycle fleet.

Profile

Who it's for

  • Vehicle energy management engineers moving into electric two-wheelers.
  • Charging infrastructure engineers working on light-vehicle and motorcycle charging.
  • Electric vehicle software engineers.
  • E-mobility analysts.
  • Electric fleet managers.
  • Grid integration engineers.
  • Engineering or science graduates looking to join electric motorcycle manufacturers.
Standards & tools

What you'll work with

  • IEC 61851-1 (electric vehicle conductive charging system, general requirements)
  • IEC 62196-2 (plugs, socket-outlets and vehicle connectors for AC charging)
  • ISO 15118-2 (vehicle-to-grid communication, network and application protocol)
  • IEC 61851-3-1 (conductive power supply for light electric vehicles)
  • Regulation (EU) 2023/1804 (AFIR) (alternative fuels infrastructure)
  • OCPP 2.0.1 (Open Charge Point Protocol)
  • UN ECE Regulation No. 136 (electrical safety of L-category electric vehicles)
  • ITC-BT-52 (Spanish low-voltage regulation for EV charging installations)
  • MATLAB/Simulink
  • Python
  • PVsyst
  • HOMER Pro
  • QGIS
Syllabus

12 modules · 1900 h

  1. 1.1Vehicle energy balance
  2. 1.2Aerodynamic drag and rolling resistance
  3. 1.3Consumption by type of use
  4. 1.4Influence of the rider and the load
  5. 1.5Powertrain losses
  6. 1.6Auxiliary consumption
  7. 1.7Temperature and consumption
  8. 1.8Electric WMTC test cycles
  9. 1.9Real-world usage data
  10. 1.10Case study: consumption of an urban scooter
  1. 2.1Longitudinal dynamics models
  2. 2.2Motor efficiency maps
  3. 2.3Battery models
  4. 2.4Speed and altitude profiles
  5. 2.5Simulation of real-world cycles
  6. 2.6Calibration with fleet data
  7. 2.7Parameter sensitivity
  8. 2.8Data-driven models
  9. 2.9Validation of the results
  10. 2.10Lab: consumption model in Simulink
  1. 3.1Remaining range and its calculation
  2. 3.2Prediction by learning from usage
  3. 3.3Use of routes and topography
  4. 3.4Estimation uncertainty
  5. 3.5Communication to the user
  6. 3.6Range anxiety
  7. 3.7Economy modes
  8. 3.8Route planning with charging stops
  9. 3.9On-road validation
  10. 3.10Practical exercise: remaining-range algorithm
  1. 4.1Power distribution
  2. 4.2Regeneration and its calibration
  3. 4.3Limitation according to battery state
  4. 4.4Efficient thermal management
  5. 4.5Pre-heating and pre-conditioning
  6. 4.6Auxiliary management
  7. 4.7Riding modes and energy
  8. 4.8Over-the-air software updates
  9. 4.9System safety
  10. 4.10Workshop: regeneration strategy
  1. 5.1Single-phase on-board chargers
  2. 5.2Power factor correction
  3. 5.3Isolated DC-DC converters
  4. 5.4DC charging
  5. 5.5Bidirectional on-board charging
  6. 5.6Thermal integration of the charger
  7. 5.7Electromagnetic compatibility of the system
  8. 5.8Charger efficiency
  9. 5.9In-service system reliability
  10. 5.10Lab: testing an on-board charger
  1. 6.1IEC 61851 charging modes
  2. 6.2Type 2 and CCS connectors
  3. 6.3Connectors for light vehicles
  4. 6.4PWM communication
  5. 6.5ISO 15118 communication
  6. 6.6Plug and Charge
  7. 6.7Home charging of removable batteries
  8. 6.8User safety
  9. 6.9Interoperability between systems
  10. 6.10Practical exercise: Mode 3 charging sequence
  1. 7.1Types of charging points
  2. 7.2Charging in motorcycle car parks
  3. 7.3On-street charging
  4. 7.4Installation according to ITC-BT-52
  5. 7.5Electrical protection of the installation
  6. 7.6Accessibility and street furniture
  7. 7.7Metering and billing
  8. 7.8European alternative fuels infrastructure regulation (AFIR)
  9. 7.9Infrastructure maintenance
  10. 7.10Case study: charging project for a car park
  1. 8.1Impact of charging on the grid
  2. 8.2Contracted power management
  3. 8.3Smart charging with price signals
  4. 8.4Demand response
  5. 8.5Vehicle-to-grid on two wheels
  6. 8.6Photovoltaic self-consumption at the charging point
  7. 8.7Stationary energy storage
  8. 8.8Tariffs and price signals
  9. 8.9Local energy communities
  10. 8.10Workshop: sizing with self-consumption
  1. 9.1OCPP communication protocol
  2. 9.2Charge point management platforms
  3. 9.3User applications
  4. 9.4Roaming between operators
  5. 9.5Charging cybersecurity
  6. 9.6Integration with vehicle telematics
  7. 9.7Incident management
  8. 9.8Usage data analysis
  9. 9.9Payment interoperability
  10. 9.10Lab: OCPP simulation
  1. 10.1Route and charging planning
  2. 10.2Fleet sizing
  3. 10.3Charging shifts
  4. 10.4Battery swapping versus charging
  5. 10.5Total cost of ownership
  6. 10.6Fleet telemetry
  7. 10.7Battery degradation and replacement
  8. 10.8Operating indicators
  9. 10.9Delivery and sharing cases
  10. 10.10Practical exercise: charging optimisation for a delivery fleet
  1. 11.1Urban mobility plans
  2. 11.2Electric mobility incentives
  3. 11.3Low-emission zones
  4. 11.4Roll-out of public infrastructure
  5. 11.5Optimal location of charging points
  6. 11.6Geospatial demand analysis
  7. 11.7User acceptance
  8. 11.8Environmental impact assessment
  9. 11.9Market trends
  10. 11.10Case study: municipal charging plan
  1. 12.1Definition of the use case
  2. 12.2Consumption model
  3. 12.3Energy management strategy
  4. 12.4Charging system specification
  5. 12.5Infrastructure design
  6. 12.6Grid integration
  7. 12.7Management platform
  8. 12.8Economic and environmental assessment
  9. 12.9Thesis report
  10. 12.10Master's Thesis: defence before a panel
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 the programme with your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, Python, PVsyst, HOMER Pro and QGIS, in free, academic or evaluation versions. Testing is studied through real procedures: range estimation of an electric motorcycle over real-world cycles, design of a motorcycle charging point in a car park, and smart-charging optimisation for a delivery fleet. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: IEC 61851-1, IEC 62196-2, ISO 15118-2, IEC 61851-3-1, Regulation (EU) 2023/1804 (AFIR), OCPP 2.0.1, UN ECE Regulation No. 136, ITC-BT-52.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of IEC 61851-1, IEC 62196-2 and ISO 15118-2 applied to real cases, not as a theoretical annex.
Industry software:MATLAB/Simulink, Python, PVsyst, HOMER Pro and QGIS, in free, academic or evaluation versions.
Master's Thesis with defence:An energy management and charging system for an electric motorcycle fleet, defended before a panel.
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.

Consumption model
Build and calibrate a consumption model of an electric motorcycle in Simulink.
Range algorithm
Develop a remaining-range algorithm validated over real-world cycles.
Regeneration and on-board charging
Define the regeneration strategy and test the on-board charging system.
Charging infrastructure project
Design a car-park charging project with OCPP management and photovoltaic self-consumption.
Master's Thesis
An energy management and charging system for an electric motorcycle fleet, defended before a panel.
Career opportunities

Where this takes you

Vehicle energy management engineerCharging infrastructure engineerElectric vehicle software engineerE-mobility analystElectric fleet managerGrid integration engineer
Admissions & scholarships

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.

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FAQ

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, Python, PVsyst, HOMER Pro and QGIS, 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 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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