Course on autonomy and energy efficiency in e-motorcycles
About our
Autonomy and Energy Efficiency in E-Motorcycles Course
Explore the optimization of electrical systems in motorcycles, focusing on battery design and management to maximize range and energy efficiency. It covers the analysis of key components, such as electric motors, controllers, and charging systems, along with strategies to improve aerodynamic efficiency and thermal management. Aspects such as weight optimization and the integration of battery management systems (BMS) are considered, combining theory and practice for application in e-motorcycle design.
This course provides knowledge on battery selection and sizing, the use of simulation tools for performance optimization, and the application of technologies for energy consumption reduction. It focuses on applying methodologies for efficiency assessment, using tools such as circuit simulation and telemetry data analysis. This training prepares students for professional roles in the design and development of e-motorcycles, facilitating access to job opportunities in the electric mobility sector.
Course on autonomy and energy efficiency in e-motorcycles
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
725 $
Competencies and results
What you will learn
1. Mastering Autonomy and Energy Efficiency in e-Motorcycles: A Comprehensive Course
- Optimizing the performance of batteries and energy management systems (BMS).
- Understanding the charging infrastructure and electric mobility solutions for e-motorcycles.
- Diagnosing and resolving common problems in electric propulsion systems.
- Evaluating and selecting key electrical components (motors, controllers, inverters).
- Designing extended-range systems and efficient energy management.
- Applying efficient driving techniques and optimizing energy consumption.
- Analyzing regulations and safety standards for e-motorcycles.
- Integrating connectivity and telemetry technologies for remote monitoring and control.
- Designing preventive and corrective maintenance strategies for e-motorcycles.
- Exploring market trends and innovation in the e-motorcycle sector.
2. Performance Optimization and Energy Design in Electric Motorcycles
2. Performance Optimization and Energy Design in Electric Motorcycles
- Fundamental principles of electric propulsion applied to motorcycles.
- Selection and sizing of electric motors to optimize efficiency and performance.
- Battery system design and management: types, capacities, and battery management systems (BMS).
- Analysis of aerodynamics and its impact on the range and speed of electric motorcycles.
- Design of regenerative braking systems to maximize energy recovery.
- Chassis and suspension optimization to improve stability and rider comfort.
- Integration of electronic control units (ECUs) and software for vehicle management.
- Strategies for optimizing energy consumption and range under different driving conditions.
- Analysis of thermodynamics in the design of cooling systems for components Electrics.
- Evaluation of safety and current regulations in the design and manufacture of electric motorcycles.
- Introduction to the simulation and modeling of electrical and mechanical systems.
- Design of aesthetics and ergonomics considering functionality and energy efficiency.
- Life cycle analysis and sustainability in the manufacture of electric motorcycles.
- Introduction to charging management and the necessary infrastructure.
- Case studies and practical examples of successful electric motorcycle design.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Specialization in Autonomy and Efficiency: Courses for e-Motorcycles
- Optimizing the range of e-motorcycles through analysis of electric propulsion systems.
- Evaluating energy efficiency, including motors, batteries, and thermal management.
- Designing and selecting components to maximize range and minimize consumption.
- Implementing energy management strategies for greater efficiency.
- Studying aerodynamics and its impact on the range of e-motorcycles.
5. Maximizing Autonomy and Energy Efficiency: Your Expert Guide to e-Motorcycles
**Fundamentals of e-Motorcycles:** Understand the evolution, design, and architecture of electric motorcycles. Explore the advantages and disadvantages compared to internal combustion motorcycles.
**Electric Propulsion Systems:** Study electric motors (types, operation, characteristics), batteries (technologies, management, lifespan, safety), controllers, and transmission systems.
**Advanced Energy Management:** Optimize energy consumption through the selection of efficient components and circuit design. Analyze energy recovery strategies (regenerative braking).
**Battery and Charging System Design:** Understand battery pack design (configuration, protection, cooling). Explore charging systems (types, speeds, standards) and the necessary infrastructure.
**Range and Performance:** Calculate the range of e-motorcycles under different riding conditions. Analyze the factors that influence performance (weight, aerodynamics, tires).
**Energy Efficiency in Practice:** Apply techniques to improve energy efficiency in the design and operation of e-bikes. Study success stories and the latest innovations.
**Regulations and Standards:** Understand current legislation on electric vehicles and safety regulations applicable to e-bikes.
**Maintenance and Diagnostics:** Learn to diagnose and troubleshoot common problems in e-bike electrical systems. Understand preventive and corrective maintenance procedures.
**The Future of e-bikes:** Explore emerging technological trends, such as artificial intelligence, connectivity, and autonomous driving in e-bikes.
6. Unlocking Autonomy: Advanced Energy Efficiency Course for e-Motorcycles
6. Unlocking Range: Advanced Energy Efficiency Course for e-Motorcycles
Mastery of e-motorcycle architecture and key components, including batteries, motors, and control systems.
Evaluation of strategies for optimizing energy efficiency in e-motorcycle design and operation.
In-depth analysis of factors impacting e-motorcycle range, such as weight, aerodynamics, and rolling resistance.
Application of simulation and modeling techniques to predict energy performance and range.
Implementation of advanced Battery Management Systems (BMS) to maximize efficiency and battery life.
Exploration of the latest innovations in battery and motor technologies for e-motorcycles.
Development of skills in selecting and configuring components to optimize efficiency and range.
Who this program is for:
Course on autonomy and energy efficiency in e-motorcycles
- Engineers with degrees in Aerospace, Mechanical, Industrial, Automation, or related disciplines.
- Experts from OEM of electric vehicles (e-bikes), Maintenance, Repair, and Operation (MRO) companies, consulting firms, and technology centers interested in energy efficiency.
- Professionals in areas such as electric propulsion system design, battery management, control engineering, and simulation and performance analysis of e-bikes.
- Technicians and specialists in electric vehicle system design, component integration, electrical safety, and energy optimization.
- Engineers and technicians with experience in testing and validation of systems for e-motorcycles, as well as in certification and homologation.
Recommended requirements: Knowledge of physics, electronics, and mechanics; fluency in Spanish and/or English (level B2+ / C1). Bridging tracks are provided to facilitate understanding of key concepts.
- 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.
2.1 Principles of Energy Efficiency in E-Motorcycles: Key Concepts
2.2 Range in E-Motorcycles: Factors that Influence It
2.3 Key Components of an E-Motorcycle: Motor, Battery, and Energy Management
2.4 Aerodynamic Design and Its Impact on Efficiency
2.5 Regenerative Braking Systems and How They Work
2.6 Influence of Weight and Materials on Range
2.7 Tires and Their Effect on Energy Efficiency
2.8 The Role of the Rider: Efficient Driving Habits
2.9 Regulations and Efficiency Standards for E-Motorcycles
2.10 Introduction to Energy Efficiency Analysis Tools
3. Mastering Range and Energy Efficiency in E-Motorcycles: A Comprehensive Course
4. Performance Optimization and Energy Design in Electric Motorcycles
4.1 Introduction to E-Motorcycle Design and Optimization
4.2 Selection and Sizing of Electric Motors
4.3 Design and Management of Battery Systems for Range
4.4 Design of Systems Electronic Control Unit (ECU)
4.5 Component Integration and Energy Flow Optimization
4.6 Aerodynamic Design for Energy Efficiency
4.7 Material Selection and Its Impact on Performance
4.8 Energy Performance Testing and Validation
4.9 Failure Analysis and Design for Durability
4.10 Simulation and Modeling Tools for E-Motorcycles
5. Master’s Degree in Autonomy and Efficiency: Fundamentals for E-Motorcycles
5.1 Advanced Energy Efficiency Concepts
5.2 Energy Storage System (Battery) Design
5.3 Thermal Management in E-Motorcycles
5.4 Electric Motors: Types and Characteristics
5.5 Power Electronics Control and Optimization
5.6 Advanced Regenerative Braking Systems
5.7 Environmental Factors and Their Impact on Range
5.8 Testing Methodologies and Performance Analysis
5.9 International Standards and Regulations
5.10 Practical Exercises and Case Studies
6. Specialization in Autonomy and Efficiency: Courses For e-Motorcycles
6.1 Designing Fast Charging Systems and Their Impact
6.2 Optimizing e-Motorcycle Software and Firmware
6.3 Emerging Battery and Motor Technologies
6.4 Integrating Connectivity and Data Analysis
6.5 Lightweight Vehicle Design and Composite Materials
6.6 On-Board Energy Management Systems (BMS)
6.7 Designing for Mass Production
6.8 Maintaining and Repairing e-Motorcycles
6.9 Safety and Reliability in e-Motorcycle Design
6.10 Practical Projects and Prototyping
7. Maximizing Range and Energy Efficiency: Your Expert Guide to e-Motorcycles
7.1 Advanced Range Optimization Strategies
7.2 Analyzing Telemetry and Performance Data
7.3 Efficient Driving and Eco-Driving Techniques
7.4 Optimizing Performance Under Different Conditions
7.5 Designing Efficient Routes and Planning Trips
7.6 Diagnosing and Troubleshooting Efficiency Issues
7.7 Adapting e-bikes for different uses
7.8 Preventive maintenance for energy efficiency
7.9 Future trends in e-bike efficiency
7.10 Expert tips and tricks to maximize range
8. Unlocking Range: Advanced Energy Efficiency Course for e-bikes
8.1 Advanced theoretical foundations of energy efficiency
8.2 Design and analysis of electric propulsion systems
8.3 Modeling and simulation of e-bike range
8.4 Energy management systems (EMS) and optimization
8.5 Integrating renewable energy into charging
8.6 Design and optimization of charging infrastructure
8.7 Life cycle assessment (LCA) of e-bikes
8.8 Legal and regulatory aspects of energy efficiency
8.9 Innovations in batteries and storage technologies
8.10 Research and development projects in efficiency
9. Navigating Efficiency: Specialized Course in Energy and Range for e-Motorcycles
9.1 Analysis of Critical Components for Efficiency
9.2 Design of Advanced Energy Control Systems
9.3 Integration of Telemetry and Real-Time Data Analysis
9.4 Optimization of Thermal Management and Cooling
9.5 Use of Artificial Intelligence and Machine Learning
9.6 Smart and Optimized Charging Strategies
9.7 The Impact of Software on Range and Efficiency
9.8 Design of Customized Storage Solutions
9.9 Economic and Sustainability Aspects of e-Motorcycles
9.10 Seminars and Workshops with Industry Experts
10. Mastering Range and Energy Efficiency in e-Motorcycles: A Comprehensive Training Program
10.1 Complete Review of Key Efficiency Concepts
10.2 Comprehensive Design of Electric Propulsion Systems
10.3 Practical Implementation of Optimization Strategies
10.4 Performance Data Analysis and Continuous Improvement
10.5 Prototype Development and Performance Testing
10.6 Legislation and Regulations E-bikes globally
10.7 Safety aspects and regulations for e-bikes
10.8 Case studies and industry examples
10.9 Designing custom e-bike projects
10.10 Career planning and professional opportunities
2.2 Fundamentals of Electrical Energy in E-Motorcycles
2.2 Key Battery Components: Types and Characteristics
2.3 Battery Management: BMS and Safety Systems
2.4 Principles of Energy Efficiency in E-Motorcycles
2.5 Impact of Temperature on Battery Performance
2.6 Charging Systems: Types and Optimization
2.7 Battery Life Cycles and Their Impact on Range
2.8 Factors Influencing the Range of an E-Motorcycle
2.9 Energy Efficiency Analysis: Measurements and Metrics
2.20 Battery Selection and Maintenance for E-Motorcycles
3.3 What are e-bikes and their potential?
3.2 Importance of energy efficiency in electric vehicles.
3.3 Key components of an e-bike and their impact on range.
3.4 Fundamental principles of range and efficiency.
3.5 The future of e-bikes and the role of energy efficiency.
3.6 Comparison: combustion vs. electric motors in terms of efficiency.
3.7 Basic energy concepts: power, voltage, amperage, and resistance.
3.8 The role of aerodynamics in e-bike efficiency.
3.9 Introduction to regulations and efficiency standards for e-bikes.
3.30 Case studies: e-bike models and their efficiency levels.
4.4 Basic concepts of range in e-motorcycles: definition, importance, and key factors
4.2 Main components of an e-motorcycle and their impact on range (battery, motor, controllers)
4.3 Range metrics: range, battery capacity, energy consumption
4.4 Influence of riding style on range: tips for efficient riding
4.5 Environmental conditions and their effect on range: temperature, wind, terrain
4.6 Aerodynamic design and its relevance to energy efficiency
4.7 Importance of preventive maintenance for optimizing range
4.8 Types of batteries for e-motorcycles: characteristics, advantages, and disadvantages
4.9 The role of battery management systems (BMS) in optimizing range
4.40 Case studies: range analysis in different e-motorcycle models
5.5 Introduction to Range in E-Motorcycles: Key Concepts
5.5 Main Components: Battery, Motor, Controller
5.3 Factors Affecting Range: Weight, Speed, Terrain
5.4 Energy Efficiency: Units of Measurement and Conversion
5.5 The Role of Aerodynamics in Range
5.6 Energy Recovery Systems in E-Motorcycles
5.7 Battery Design and Selection: Types and Capacities
5.8 Electric Motors: Types and Efficiency
5.9 Fundamentals of Energy Management in E-Motorcycles
5.50 Battery Maintenance and Care to Maximize Range
6.6 Fundamentals of Electrical Energy: Principles and Applications in Mobility
6.2 e-Motorcycle Architecture: Key Components and Their Interaction
6.3 Battery Systems: Types, Technologies, and Performance
6.4 Electric Motors: Design, Efficiency, and Selection
6.5 Transmission Design: Optimization for Energy Efficiency
6.6 Thermal Management: Temperature Control in e-Motorcycles
6.7 Power Electronics: Inverters, Converters, and Controllers
6.8 Chassis Design and Aerodynamics: Impact on Efficiency
6.9 Charging Fundamentals: Types, Speeds, and Networks
6.60 Regulations and Standards: Safety and Regulations in e-Motorcycles
- 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.
Capstone-type projects
Admissions, fees, and scholarships
- 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.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
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”).