Regenerative braking course in electric motor racing
About our
Regenerative Braking in Electric Racing Course
Explore the cutting edge of energy efficiency in motorsports, focusing on the design, implementation, and optimization of regenerative braking systems for racing vehicles. The course delves into energy capture during braking, its storage, and subsequent reuse, addressing the challenges of efficiency, reliability, and performance in demanding environments. It also covers the electronic management of the systems, their integration with the vehicle’s mechanics, and control strategies to maximize on-track performance.
The course includes case studies and practical exercises in the use of performance simulations and data analysis for the fine-tuning of regenerative braking systems. It explores the different types of electric motors and batteries used in competition, as well as the relevant technical regulations for participating in electric racing events. The aim is to provide participants with practical and theoretical training so they can actively contribute to the development of high-performance electric vehicle technology.
Regenerative braking course in electric motor racing
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
275 $
Competencies and results
What you will learn
1. Mastery of Regenerative Braking Systems for Electric Racing: Design and Optimization
- Delve into the fundamentals of designing and optimizing regenerative braking systems specifically for electric vehicle racing.
- Understand the theory and practice of capturing and converting kinetic energy into electrical energy, maximizing braking efficiency.
- Study the different configurations of regenerative braking systems, including systems based on electric motors and hydraulic systems.
- Analyze the impact of regenerative braking systems on overall vehicle performance, including acceleration, range, and track handling.
- Learn to design and simulate regenerative braking systems using specialized software, considering factors such as mass, size, and cooling capacity.
- Explore advanced control strategies to optimize system performance, including energy management, brake distribution, and pedal response.
- Investigate the materials and components used in regenerative braking systems, including electric motors, inverters, batteries, and other systems.
Cooling.
Study the relevant regulations and standards for electric vehicle competition, including technical specifications and safety requirements.
Develop practical skills in the implementation and maintenance of regenerative braking systems, including calibration, troubleshooting, and track optimization.
Acquire knowledge of the latest trends and advancements in regenerative braking technology, including research and development of new materials and systems.
2. Rotor Optimization: Modeling and Performance in Regenerative Braking
- Master the analysis of critical failure modes in rotors: understand and mitigate the effects of complex couplings such as flap-lag-torsion, the whirl flutter phenomenon, and fatigue resistance.
- Apply finite element analysis (FEA) techniques for the accurate dimensioning of laminated structures in composite materials, including the design of joints and bonded joints, ensuring structural integrity and optimal performance.
- Explore design and analysis strategies that support damage tolerance and the use of advanced non-destructive testing (NDT) techniques such as ultrasonic testing (UT), radiography (RT), and thermography, for the inspection and evaluation of component integrity.
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. Analysis and Simulation of Rotors: Performance in Regenerative Braking Systems
4. Rotor Analysis and Simulation: Performance in Regenerative Braking Systems
Understand and evaluate the dynamic behavior of rotors, including vibration mode and stability analysis.
Analyze rotor failure mechanisms, such as whirl flutter, and their impact on safety and efficiency.
Simulate rotor performance in regenerative braking systems, optimizing the design to maximize energy recovery.
Study the interaction between rotor design and regenerative braking system characteristics.
Analyze flap-lag-torsion couplings, essential for performance and stability.
Dimension laminates in composites, joints, and bonded joints with FE, optimizing strength and weight.
Implement damage tolerance and NDT (UT/RT/thermography) to ensure long-term structural integrity.
5. Rotor Modeling: Performance Analysis in Regenerative Braking Systems
- Study the complexities of rotor modeling, focusing on crucial interactions.
- Understand and analyze the dynamics of flap-lag-torsion couplings, exploring their impact on stability and performance.
- Identify and mitigate the risk associated with whirl flutter, mastering analysis and prevention techniques.
- Evaluate and manage material fatigue in rotors, applying analysis and design methods to increase durability.
- Delve into the dimensioning of composite laminates, using finite element (FE) tools to optimize strength and weight.
- Design and analyze joints and bonded joints, employing FE to ensure structural integrity and efficient load transfer.
- Apply damage tolerance methodologies to predict and control damage in rotors, extending their service life and safety.
- Master techniques of Non-destructive testing (NDT), including UT/RT/thermography, for inspection and early detection of defects.
6. Rotor Modeling and Optimization: Performance Evaluation in Regenerative Braking
6. Rotor Modeling and Optimization: Performance Evaluation in Regenerative Braking
Understand and apply finite element analysis (FEA) models to simulate the structural behavior of rotors under various loading conditions.
Evaluate regenerative braking performance through computational fluid dynamics (CFD) analysis.
Master rotor modeling and optimization, considering aspects such as:
Optimal material distribution to maximize efficiency.
Advanced airfoil design to improve performance.
Sensitivity analysis and parametric optimization to identify the most efficient rotor configurations.
Apply advanced simulation techniques to predict and mitigate problems such as:
Imbalance and vibrations.
Wind effects and turbulence.
Who this program is for:
Regenerative braking course in electric motor racing
- Graduates in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation Engineering, or related fields.
- Professionals from OEM rotorcraft/eVTOL, MRO, consulting, technology centers.
- Flight Testing, certification, avionics, control, and dynamics seeking specialization.
- Regulators/authorities and UAM/eVTOL professionals requiring compliance skills.
Recommended qualifications: foundation in aerodynamics, control, and structures; ES/EN B2+/C1. We offer bridging tracks if you need them.
- 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 Introduction to Regenerative Braking: Principles and Applications
2.2 Key Components of a Regenerative Braking System
2.3 Designing Regenerative Braking Systems for Electric Racing
2.4 Component Optimization: Motors, Controllers, and Batteries
2.5 Selection and Sizing of Braking Devices
2.6 Design of the Energy Management and Control System
2.7 Integrating the Regenerative Braking System into the Vehicle
2.8 Simulation and Analysis of System Performance
2.9 Design Testing and Validation: Test Bench and Track
2.10 Safety and Regulatory Considerations
2.2 Fundamentals of Regenerative Braking: Principles and Applications
2.2 Rotor Design: Geometry and Materials
2.3 Rotor Modeling: Software and Tools
2.4 Rotor Optimization: Methods and Strategies
2.5 Performance Analysis: Simulation and Evaluation
2.6 Regenerative Braking Systems: Integration and Control
2.7 Impact on Efficiency: Performance and Energy Recovery
2.8 Component Selection: Motors and Batteries
2.9 Case Studies: Practical Examples
2.20 Future Trends: Innovation and Development
3.3 Introduction to Regenerative Braking: System Principles and Components
3.2 Rotor Design: Geometry, Materials, and Design Considerations
3.3 Rotor Modeling: Simulation Techniques and Tools
3.4 Performance Analysis: Evaluating Regenerative Braking Performance
3.5 Rotor Optimization: Strategies for Maximizing Efficiency
3.6 Thermal Effects: Analysis and Management of Generated Heat
3.7 Rotor Integration: Design and Control of the Braking System
3.8 Failures and Mitigation: Problem Identification and Resolution
3.9 Case Studies: Real-World Examples and Applications
3.30 The Future of Regenerative Braking: Trends and Developments
4.4 Introduction to Regenerative Braking Rotor Simulation
4.2 Simulation Principles: Software and Methodologies
4.3 Rotor Modeling: Geometry and Materials
4.4 Heat Transfer Analysis in Rotors
4.5 Regenerative Braking Simulation: Key Parameters
4.6 Performance Evaluation: Torque and Deceleration
4.7 Design Optimization: Iterations and Adjustments
4.8 Results Analysis: Interpretation and Visualization
4.9 Model Validation: Comparison with Real Data
4.40 Conclusions and Future Applications
5.5 Fundamentals of Regenerative Braking: Principles and Applications
5.5 Design of Regenerative Braking Systems: Components and Architecture
5.3 Design Optimization: Key Variables and Performance Metrics
5.4 Component Selection: Motors, Batteries, and Controllers
5.5 Braking Control and Strategies: Algorithms and Implementation
5.6 System Integration: Mechanical and Electrical Design
5.7 Simulation and Analysis: Braking System Modeling
5.8 Testing and Validation: System Trials and Adjustments
5.5 Introduction to Rotor Modeling: Types and Materials
5.5 Analytical Rotor Modeling: Equations and Key Parameters
5.3 Numerical Rotor Modeling: Software and Methodologies
5.4 Rotor Performance Simulation: Dynamics and Heat Transfer
5.5 Performance Evaluation: Braking and Energy Efficiency
5.6 Rotor Optimization: Design for Effective Braking Efficient Regenerative
5.7 Performance Testing: Measurement and Data Analysis
5.8 Case Studies: Modeling and Performance Examples
3.5 Rotor Analysis Methodology: Tools and Techniques
3.5 Rotor Modeling: Simulation and Software
3.3 Stress and Strain Analysis: Rotor Integrity Assessment
3.4 Rotor Thermal Analysis: Heat Dissipation and Cooling
3.5 Electric Braking Modeling: Dynamics and Behavior
3.6 Performance Evaluation: Braking and Efficiency
3.7 Failure and Failure Analysis: Protocol Design
3.8 Design Optimization: Performance and Durability Improvement
4.5 Introduction to Rotor Simulation: Methodologies and Software
4.5 Detailed Rotor Modeling: Geometry, Materials, and Conditions
4.3 Rotor Dynamics Simulation: Braking and Performance
4.4 Analysis of the Heat Transfer: Cooling System Design
4.5 Regenerative Braking Simulation: Control and Optimization
4.6 Rotor Performance Evaluation: Efficiency and Durability
4.7 Results Analysis: Data Interpretation and Conclusions
4.8 Experimental Design and Validation: Testing and Adjustments
5.5 Principles of Rotor Modeling: Methods and Tools
5.5 Rotor Modeling for Regenerative Braking: Design and Parameters
5.3 Rotor Performance Simulation: Dynamics Analysis
5.4 Rotor Performance Evaluation: Braking and Energy Recovery
5.5 Rotor Optimization: Design for Braking Efficiency
5.6 Results Analysis: Data Interpretation and Conclusions
5.7 Case Studies: Modeling and Performance Examples
5.8 Experimental Design and Validation: Testing and Adjustments
6.5 Rotor Modeling: Advanced Techniques and Tools
6.5 Design Optimization Rotor Modeling: Methodologies and Algorithms
6.3 Rotor Performance Simulation: Dynamics and Thermodynamics
6.4 Rotor Performance Evaluation: Braking and Energy Efficiency
6.5 Design for Efficiency: Key Factors and Considerations
6.6 Sensitivity Analysis: Impact of Design Parameters
6.7 Model Validation: Experimental Testing and Comparison
6.8 Case Studies: Modeling and Optimization Examples
7.5 Advanced Rotor Modeling: Techniques and Tools
7.5 Finite Element Analysis (FEA): Stress and Temperature Simulation
7.3 CFD Simulation: Airflow and Cooling Analysis
7.4 Rotor Performance Evaluation: Braking and Recovery
7.5 Regenerative Braking Modeling: Optimization and Control
7.6 Results Analysis: Interpretation and Conclusions
7.7 Experimental Design and Validation: Testing and Adjustments
7.8 Studies Case Studies: Advanced Modeling Examples
8.5 Introduction to Rotor Modeling: Design and Operation
8.5 3D Rotor Modeling: Software and Techniques
8.3 Regenerative Braking Simulation: Control and Efficiency
8.4 Performance Evaluation: Braking and Energy Recovery
8.5 Impact on Performance: Key Factors and Considerations
8.6 Results Analysis: Interpretation and Conclusions
8.7 Case Studies: Practical Examples
8.8 Experimental Design and Validation: Testing and Adjustment
6.6 Fundamentals of Regenerative Braking in Electric Racing
6.2 Regenerative Braking System Design: Architecture and Components
6.3 Component Selection and Sizing: Motors, Inverters, Batteries
6.4 Braking Strategy Optimization: Software and Control
6.5 System Integration and Calibration: Testing and Validation
6.6 Performance Simulation and Analysis: Tools and Methods
6.7 Design for Energy Efficiency: Recovery and Storage
6.8 Safety and Reliability Aspects in Regenerative Braking Systems
6.9 Case Studies: Practical Examples and Real-World Applications
6.60 Future Trends: Innovations in Regenerative Braking
2.6 Introduction to Rotor Modeling: Types and Materials
2.2 Numerical Modeling: Finite Element Methods (FEM) and Computational Fluid Dynamics (CFD)
2.3 Performance Simulation in Regenerative Braking: Analysis of Variables
2.4 Rotor Geometry Optimization: Parametric Design
2.5 Heat Transfer Analysis: Impact on Performance
2.6 Rotor Design for Maximum Energy Efficiency
2.7 Performance Evaluation: Torque, Power, and Efficiency Curves
2.8 Rotor Failure and Durability Analysis: Design Criteria
2.9 Case Studies: Comparison of Designs and Materials
2.60 Innovations in Rotor Design: New Technologies
3.6 Fundamentals of Electric Braking and the Importance of the Rotor
3.2 Advanced Rotor Modeling: 3D Analysis and Detailed Simulations
3.3 Thermo-Mechanical Analysis: Effects of Temperature and Stresses
3.4 Performance Evaluation: Braking, Efficiency, and Dissipation
3.5 Rotor Dynamics Study: Vibrations and Stability
3.6 Design Optimization for Different Conditions Braking
3.7 Failure Analysis: Problem Identification and Mitigation
3.8 Simulation and Analysis of Braking Control Strategies
3.9 Case Studies: Specific Applications and Results
3.60 Future Trends: Advances in Rotor Design and Analysis
4.6 Introduction to Simulation in Regenerative Braking Systems
4.2 Simulation Tools: Software and Methods
4.3 Rotor Modeling: Model Creation and Parameters
4.4 Braking Simulation: Operating Conditions and Analysis
4.5 Performance Evaluation: Curves, Graphs, and Results
4.6 Rotor Design Optimization: Parametric Analysis
4.7 Design for Different Braking Conditions: Strategies
4.8 Model Validation: Comparison with Real Data
4.9 Case Studies: Simulation of Different Designs
4.60 Sensitivity Analysis: Key Variables and Their Impact
5.6 Introduction to Rotor Modeling and Its Function in Braking
5.2 3D Model Creation: Software and Techniques
5.3 Finite Element Analysis (FEA) for Rotors
5.4 Heat Transfer Modeling: Thermal Simulation
5.5 Braking Performance Simulation: Variable Analysis
5.6 Rotor Design Optimization: Methodology
5.7 Design for Energy Efficiency and Recovery
5.8 Rotor Failure and Durability Analysis
5.9 Case Studies: Rotor Modeling and Analysis
5.60 The Future of Rotor Modeling: Trends
6.6 Introduction to Rotor Optimization for Electric Braking
6.2 Optimization Methodology: Algorithms and Techniques
6.3 Design of Experiments (DOE) for Rotors
6.4 Sensitivity Analysis: Critical Variables
6.5 Geometric Optimization: Shapes and Dimensions
6.6 Rotor Material Optimization
6.7 Optimization of Braking Strategies
6.8 Performance Evaluation: Metrics and Objectives
6.9 Case Studies: Rotor Optimization
6.60 The Future of Rotor Optimization
7.6 Introduction to Advanced Rotor Modeling: Methods
7.2 Multiphysics Modeling: Coupling of Phenomena
7.3 Detailed Simulation of Braking Performance
7.4 Analysis of Heat Transfer and its Impact
7.5 Performance Evaluation: Advanced Metrics
7.6 Design for Different Braking Conditions
7.7 Failure Modeling and Durability Analysis
7.8 Rotor Design Optimization: Techniques
7.9 Case Studies: Advanced Models and Results
7.60 Future Trends: Advances in Modeling
8.6 Introduction: The Role of the Rotor in Regenerative Braking
8.2 Rotor Modeling: Methods and Software
8.3 Design and Optimization Rotor: Key Aspects
8.4 Performance Analysis: Energy Recovery
8.5 Simulation and Results Analysis
8.6 The Impact on Braking Efficiency
8.7 Failure Analysis and Safety Design
8.8 Design for Different Applications
8.9 Case Studies: Practical Examples
8.60 Future Trends: Innovation in Rotors
- 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”).