Thermal management course for electric motorcycles
Thermal Management Course for Electric Motorcycles
This course focuses on the design and optimization of cooling and heat management systems for electric two-wheelers. It explores batteries, electric motors, and controllers, and how temperature impacts performance and durability. Techniques such as the use of radiators, fans, and coolants are covered, as well as modeling and simulation using CFD. The course prepares participants to improve the efficiency and reliability of electric motorcycles, considering safety and regulatory aspects of the industry.
The program offers practical knowledge on thermal design, component selection, and systems integration. Emphasis is placed on the importance of thermal analysis to prevent overheating and maximize component lifespan. Performance metrics are studied, and participants are taught how to perform tests and measurements to validate designs. This training is aimed at engineers, technicians, and designers interested in the development of electric vehicles.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Advanced Thermal Optimization in Electric Motorcycles: A Comprehensive Course
Simulation and Performance of Rotors in Electric Vehicles
Comprehensive user-oriented design and validation (from modeling to manufacturing)
Expert Heat Management Strategies for Electric Motorcycles
Master Course on Thermoregulation and Efficiency in Electric Motorcycles
Design and Thermal Control of Electric Motorcycle Systems
Analysis and Control of Thermal Management in Electric Motorcycles: A Specialized Course
Thermal Management of Electric Motorcycles: Deep Learning and Practical Applications
Who it's for
- Engineers with degrees in Mechanical, Electrical, Electronic Engineering or related fields.
- Professionals in the electric motorcycle industry, including designers, development engineers, and maintenance technicians.
- Experts in areas such as Battery Management Systems (BMS), electric motors, and cooling systems.
- Individuals interested in energy efficiency and sustainability, seeking to understand and improve the thermal performance of electric motorcycles.
What you'll work with
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
10 modules
- 2. Module 2 — Rotor Simulation and Performance in Electric Vehicles
2.1Introduction to CFD and FEM simulation in rotors2.2Modeling and simulation of heat generation in rotors2.3Analysis of airflow and heat transfer2.4Rotor design optimization for thermal management2.5Simulation of operating scenarios and environmental conditions2.6Advanced simulation techniques: transient and multiphysics2.7Validation of simulations with experimental tests2.8Analysis of energy efficiency and rotor performance2.9Simulation tools and specialized software2.10Case studies: rotor optimization for different applications- 3. Module 3 — Mastering Thermal Management in Electric Motorcycles: In-depth Study
3.1Principles of thermodynamics and heat transfer applied to electric motorcycles3.2Critical components in thermal management: batteries, motors, controllers3.3Cooling systems: air, liquid, and strategies Hybrids3.4Design and analysis of air ducts and radiators3.5Sensors and temperature control: feedback strategies3.6Materials and thermal insulation in electric motorcycles3.7Failure analysis and thermal management solutions3.8Testing and validation of thermal management systems3.9Regulations and safety standards in thermal management3.10Case studies: examples of successful thermal management in electric motorcycles- 4. Module 4 — Expert Heat Management Strategies for Electric Motorcycles
4.1Selection and sizing of cooling systems4.2Optimization of the thermal management system design4.3Intelligent control of thermal management: algorithms and software4.4Analysis of thermal performance under different riding conditions4.5Integration of thermal management with the battery management system (BMS)4.6Design of overheating and freezing protection systems4.7Thermal management in fast charging systems4.8Monitoring and diagnosis of thermal management systems4.9Future Trends in Thermal Management of Electric Motorcycles4.10Case Studies: Analysis of Innovative Solutions in Thermal Management- 5. Module 5 — Masterclass on Thermoregulation and Efficiency in Electric Motorcycles
5.1Review of the Fundamental Principles of Thermoregulation5.2Impact of Thermoregulation on the Efficiency and Range of Electric Motorcycles5.3Design of High-Performance Thermoregulation Systems5.4Component Selection: Batteries, Motors, and Electronics5.5Advanced Cooling Strategies: Evaporative Cooling, Thermoelectric Cooling5.6Airflow Optimization and Aerodynamic Design5.7Integration of Thermal Management with the Vehicle Control System5.8Monitoring and Analysis of Thermal Data5.9Maintenance and Diagnostics of Thermoregulation Systems5.10Presentation of Final Projects and Analysis of Practical Cases- 6. Module 6 — Thermal Design and Control of Electric Motorcycle Systems
6.1Introduction to Thermal Management System Design6.2Air and Liquid Cooling System Design6.3Heat Exchanger and Radiator Design6.4Pump and Fan Selection6.5Duct and Airflow Design6.6PID Control and Temperature Control Strategies6.7Sensors and Data Acquisition Systems6.8Thermal System Simulation and Analysis6.9Prototype Design and Development6.10Thermal System Testing and Validation- 7. Module 7 — Thermal Management Analysis and Control in Electric Motorcycles: A Specialized Course
7.1Introduction to Thermal Management Analysis7.2Analysis of Critical Components: Batteries, Motors, Controllers7.3Thermal System Modeling and Simulation7.4Airflow and Heat Transfer Analysis Methods7.5Temperature and Flow Measurement Techniques7.6Control Strategies and Performance Optimization7.7Temperature Control System Design7.8Failure Analysis and Troubleshooting Problems7.9Case Studies: Analysis of Existing Systems7.10Trends and Challenges in Electric Motorcycle Thermal Management- 8. Module 8 — Electric Motorcycle Thermal Management: In-Depth Learning and Practical Applications
8.1Review of Key Concepts in Thermal Management8.2Practical Applications in Electric Motorcycle Design and Development8.3Optimizing Performance and Energy Efficiency8.4Cooling System Design: Air, Liquid, and Advanced Strategies8.5Component Selection: Batteries, Motors, and Electronics8.6Integrating Thermal Management with the Vehicle Management System8.7Monitoring and Controlling Thermal Systems8.8Testing and Validation in Real-World Environments8.9Analysis of Case Studies and Best Practices8.10Practical Projects and Real-World Applications
2.2Modeling and Simulation of Airflow in Electric Motorcycle Rotors2.2Heat Transfer Analysis in Critical Rotor Components2.3Design of Cooling Systems for Rotors: Methods and Techniques2.4Performance Simulation: Rotor Efficiency and Power2.5Optimization of Rotor Geometry for Thermal Management2.6Advanced Materials and Their Impact on Heat Dissipation2.7Simulation Software: Specific Tools and Applications2.8Case Studies: Simulation and Analysis of Rotors in Electric Motorcycles2.9Testing and Validation of Simulation Models2.20Impact of Simulation on Rotor Design and Development
3.3Introduction to Thermal Management in Electric Motorcycles: Fundamental Concepts3.2Critical Components and Heat Sources in Electric Motorcycles3.3Cooling System Design: Air, Liquid, and Combined3.4Advanced Materials for Thermal Management3.5Temperature Sensors and Control: Strategies and Algorithms3.6Thermal Simulation and Modeling: Tools and Software3.7Design of Efficient Heat Shields and Ducts3.8Testing and Validation of Thermal Management Systems3.9Optimizing Performance and Energy Efficiency3.30Case Studies: Practical Applications and Future Trends
4.4Fundamental Principles of Heat Transfer in Electric Motorcycles4.2Cooling System Design: Air, Liquid, and Combined4.3Selection and Optimization of Thermal Components4.4Real-Time Temperature Monitoring and Control4.5Thermal Management Strategies for Different Operating Conditions4.6Thermal Simulation Software: Tools and Applications4.7Failure Analysis and Troubleshooting in Thermal Systems4.8Implementation of Thermal Protection Systems4.9Integration of Thermal Management with the Battery Management System (BMS)4.40Case Studies: Practical Applications and Best Practices
5.5Principles of Thermoregulation in Electric Motorcycles5.5Critical Components and Their Thermal Management5.3Advanced Cooling Systems5.4Design Optimization for Thermal Efficiency5.5Materials and Thermal Insulation5.6Temperature Monitoring and Control5.7Heat Flow Simulation and Analysis5.8Diagnosing and Troubleshooting Thermal Problems5.9Maintenance Practices and Efficiency Improvements5.50Case Studies: Practical Applications and Results
6.6Principles of Thermal Design in Electric Motorcycles6.2Selection and Design of Components for Thermal Management6.3Thermal Modeling and Simulation: Software and Tools6.4Thermal Controllers: Strategies and Design6.5Cooling Systems: Types and Applications6.6Integration of Thermal Systems in Electric Motorcycle Design6.7Optimizing Energy Efficiency through Thermal Management6.8Testing and Validation of Thermal Systems6.9Design for Manufacturing and Maintenance6.60Case Studies: Thermal Design and Control in Electric Motorcycles
7.7Principles of Thermodynamics Applied to Electric Motorcycles7.2Key Components and Their Thermal Impact: Motor, Battery, Controller7.3Cooling Systems: Air, Liquid, and Their Variants7.4Design of Heat Sinks and Thermal Conduits7.7Basic Thermal Modeling and Simulation7.6Advanced Materials for Thermal Management7.7Thermal Control Strategies: Sensors and Algorithms7.8Optimizing Energy Efficiency and Thermoregulation7.9Testing and Validating Thermal Systems in Electric Motorcycles7.70Case Studies: Practical Examples and Real-World Applications
8.8Introduction to Thermodynamics Applied to Electric Vehicles8.8Heat Transfer: Conduction, Convection, and Radiation8.3Materials and Thermal Properties in EV Components8.4Sensors and Actuators in Thermal Management Systems8.5Legislation and Regulations on EV Thermoregulation8.8Fundamentals of CFD Simulation in Electric Vehicle Rotors8.8Airflow and Heat Transfer Modeling in Rotors8.3Performance and Aerodynamic Efficiency Analysis8.4Simulation Software: Tools and Methodologies8.5Validation and Calibration of Simulation Models3.8Key Components of Thermomanagement in Electric Motorcycles3.8Cooling Systems: Air, Liquid, and Hybrid Methods3.3Design of Ducts and Heat Sinks3.4Performance Evaluation and Management Optimization Thermal Engineering3.5Failure Analysis and Maintenance in Thermal Systems4.8Selection of Heat Management Strategies for Different Conditions4.8Intelligent Temperature Control: Algorithms and Logic4.3Optimizing Heat Distribution4.4Monitoring and Diagnosis of Thermal Systems4.5Implementing Strategies in the Real World5.8Principles of Advanced Thermoregulation in Electric Motorcycles5.8Advanced Cooling Systems: Microchannels, Immersion Cooling5.3Optimizing Energy Efficiency5.4Designing High-Performance Thermal Control Systems5.5Case Studies: Practical Applications and Best Practices6.8Designing Cooling Systems: Sizing and Component Selection6.8Designing Heat Sinks and Cooling Ducts6.3Integrating Thermal Systems in General Motorcycle Design6.4Temperature Control and Performance Optimization6.5Testing and Validation of Designed Thermal Systems7.8Thermal Analysis Methodologies: CFD and Experimental Analysis7.8Identifying Critical Heat Points in Electric Motorcycles7.3Temperature Measurement and Monitoring Techniques7.4Interpreting Results and Decision Making7.5Case Studies: Failure Analysis and Performance Improvement8.8Cooling Applications in Electric Motorcycles8.8Components: Batteries, Controllers, Motors8.3Thermal Design for Different Climatic Conditions8.4Intelligent Thermal Management Systems8.5Integration and Testing of Thermal Systems8.6Maintenance and Diagnostics of Thermal Systems8.7Case Studies: Practical Examples8.8Cost Considerations8.8Design and Development of the Thermal management system8.80Troubleshooting and optimization
9.9Introduction to Rotor Modeling in Electric Vehicles9.9Fundamentals of CFD Simulation for Rotors9.3Design and Analysis of Airfoil Profiles9.4Modeling Airflow and Heat Transfer in Rotors9.5Simulation of Rotor Performance and Efficiency9.6Optimization of Rotor Design for Thermal Management9.7Analysis of Vibration and Mechanical Stress in Rotors9.8Rotor Materials and Manufacturing9.9Rotor Thermal Control and Management9.90Case Studies and Practical Applications
1.1Introduction to Thermal Design in Electric Motorcycles1.2Applied Heat Transfer Principles1.3Materials and Components: Selection and Thermal Considerations1.4Cooling System Design: Methods and Strategies1.5CFD Simulation and Thermal Analysis1.6Battery Design: Thermal Optimization1.7Thermal Management of the Electric Motor and Controller1.8Systems Integration: Design and Optimization of the Assembly1.9Testing and Validation of the Thermal Design1.10Final Project: Development of an Optimized Thermal Design
How you'll learn
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Where this takes you
Requirements
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%. Monthly payment: available with a 7% commission on the total; annual review. Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships. See "Calendar & Calls for Applications," "Scholarships & Grants," and "Fees & Financing" in the SEIUM mega-menu.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).
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