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CourseMotorcycles & 2-Wheelers Applications open

Telemetry course for electric racing motorcycles

Online course of 300 hours in online telemetry for electric racing motorcycles, structured in 6 modules covering electric racing and data, on-board data acquisition, real-time transmission, in-race energy analysis and high-voltage safety procedures, 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

Describe the use of telemetry in electric racing.

02

Configure on-board data acquisition systems.

03

Design a real-time transmission link.

04

Analyse energy consumption per lap and per sector.

05

Define race energy strategies.

06

Apply high-voltage safety protocols.

07

Design a telemetry system for a team.

Profile

Who it's for

  • Data engineers.
  • Telemetry engineers.
  • Track engineers.
  • Racing electronics technicians.
  • High-voltage safety technicians.
  • Performance analysts.
  • Engineering or science graduates looking to enter electric racing.
Standards & tools

What you'll work with

  • FIM technical regulations (technical rules for electric motorcycle racing)
  • ISO 11898 (Controller Area Network (CAN))
  • UN/ECE Regulation No. 136 (electrical safety of L-category electric vehicles)
  • ETSI EN 300 328 (2.4 GHz wideband data transmission equipment)
  • ISO 6469-3 (electrical safety of electrically propelled road vehicles)
  • Regulation (EU) 2016/679 (General Data Protection Regulation)
  • MoTeC i2
  • 2D Datarecording
  • Magneti Marelli WinTAX
  • Grafana
  • Python with pandas
Syllabus

6 modules

  1. 1.1The FIM MotoE championship
  2. 1.2Performance of an electric racing motorcycle
  3. 1.3The need to monitor energy
  4. 1.4Differences from combustion telemetry
  5. 1.5Regulatory restrictions on transmission
  6. 1.6Roles of the data engineer
  7. 1.7Data flow within a team
  8. 1.8Rider and staff safety
  9. 1.9Trends in electric racing
  10. 1.10Workshop: analysing a MotoE lap with public data
  1. 2.1Battery, motor and inverter sensors
  2. 2.2The motorcycle's CAN network
  3. 2.3Loggers and sampling rates
  4. 2.4GPS synchronisation
  5. 2.5Chassis and suspension sensors
  6. 2.6Temperature channels
  7. 2.7Storage and download
  8. 2.8Sensor calibration
  9. 2.9Data quality
  10. 2.10Practical: configuring channels on a data logger
  1. 3.1Radio telemetry at the circuit
  2. 3.2Mobile networks and latency
  3. 3.3Selecting channels to transmit
  4. 3.4Data compression
  5. 3.5Antennas and coverage
  6. 3.6Communications security
  7. 3.7Visualisation in the pit box
  8. 3.8Real-time alarms
  9. 3.9Link failures and recovery
  10. 3.10Lab: setting up a test telemetry link
  1. 4.1Consumption per lap and per sector
  2. 4.2Race energy strategy
  3. 4.3Regeneration per corner
  4. 4.4Battery temperature and derating
  5. 4.5Comparison between riders
  6. 4.6Predicting remaining energy
  7. 4.7Lap simulation
  8. 4.8Map optimisation
  9. 4.9Session report
  10. 4.10Case study: energy strategy for an eight-lap race
  1. 5.1High-voltage status indicators
  2. 5.2Handling protocols in the pit box
  3. 5.3Response to battery incidents
  4. 5.4Safety when charging at the circuit
  5. 5.5Staff training
  6. 5.6Protective equipment
  7. 5.7Organiser procedures
  8. 5.8Logging high-voltage incidents
  9. 5.9Coordination with marshals
  10. 5.10Case study: protocol after a crash with battery damage
  1. 6.1Defining the team's objectives
  2. 6.2Selecting sensors and channels
  3. 6.3Data network design
  4. 6.4Real-time link design
  5. 6.5Visualisation dashboard
  6. 6.6Circuit test plan
  7. 6.7Safety procedures
  8. 6.8System cost
  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 MoTeC i2, 2D Datarecording, Magneti Marelli WinTAX, Grafana and Python with pandas, in free, academic or evaluation versions. Testing is studied through real procedures for energy analysis of circuit sessions, configuring data loggers and setting up telemetry links. Assessment is continuous per module plus the final project.

Standards covered: FIM technical regulations, ISO 11898, UN/ECE Regulation No. 136, ETSI EN 300 328, ISO 6469-3, Regulation (EU) 2016/679.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of the FIM technical regulations, ISO 11898 and UN/ECE Regulation No. 136 applied to real cases, not as a theoretical annex.
Industry software:MoTeC i2, 2D Datarecording, Magneti Marelli WinTAX, Grafana and Python with pandas, in free, academic or evaluation versions.
Final project:a complete telemetry system for an electric racing team, from sensor and channel selection to real-time link, dashboard and safety procedures, 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 team objectives
Set what the team needs to monitor and decide during sessions and races.
Select sensors and channels
Choose the sensors, logging channels and sampling rates.
Design data network and link
Lay out the on-board CAN network and the real-time transmission link.
Build dashboard and test plan
Create the pit-box visualisation dashboard and the circuit test plan with safety procedures.
Final project
Present the complete telemetry system with cost and report.
Career opportunities

Where this takes you

Data engineerTelemetry engineerTrack engineerRacing electronics technicianHigh-voltage safety technicianPerformance analyst
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 MoTeC i2, 2D Datarecording, Magneti Marelli WinTAX, Grafana 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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