Course on autonomy and consumption in electric vehicles
About our
Electric Vehicle Range and Consumption Course
Explore the key factors that influence the energy efficiency and range of electric vehicles. Aspects such as battery capacity, electric motor performance, vehicle weight, and aerodynamics are analyzed. energy management is explored in depth, including energy recovery systems and consumption optimization strategies. The course prepares you to evaluate and understand the practical and economic implications of electric mobility.
Participants will gain knowledge about range simulation, consumption data analysis, and the influence of driving style and environmental conditions. Charging technologies and their impact on range are studied. The course provides tools to analyze the viability and performance of electric vehicles, including an understanding of regulations and efficiency standards.
Course on autonomy and consumption in electric vehicles
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
480 $
Competencies and results
What you will learn
1. Optimization of Range and Energy Efficiency in Electric Vehicles
Here is the requested content:
- Understand the fundamentals of energy management in electric vehicles.
- Study the different battery technologies and their implications for range.
- Analyze the factors that affect energy efficiency, such as aerodynamics and weight.
- Evaluate strategies for optimizing energy consumption under different driving conditions.
- Learn to use simulation and modeling tools to predict range and efficiency.
- Explore the design of battery management systems (BMS) and their impact on range.
- Investigate charging technologies and their influence on electric vehicle efficiency.
- Identify and apply the latest Innovations in the field of autonomy and energy efficiency.
- Analyze the life cycle of batteries and recycling strategies.
- Develop skills for the evaluation and comparison of different electric vehicles in terms of autonomy and efficiency.
2. In-depth Analysis of Performance and Energy Consumption in Electric Vehicles
2. In-Depth Analysis of Performance and Energy Consumption in Electric Vehicles
Understand the key factors that influence the energy performance of electric vehicles.
Evaluate different electric propulsion systems and their impact on efficiency.
Analyze the energy consumption of electric vehicles under various driving conditions.
Study energy storage technologies, including batteries and their management.
Identify and optimize energy-consuming components, such as motors, controllers, and auxiliary systems.
Use simulation and modeling tools to predict performance and energy consumption.
Analyze telemetry data to evaluate real-world performance and energy efficiency.
Evaluate the impact of environmental conditions on energy consumption.
Study charging strategies and their impact on battery efficiency and lifespan.
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. Detailed Evaluation of Autonomy and Electricity Consumption in Mobility
4. Detailed Evaluation of Range and Electricity Consumption in Mobility
Understand the factors that influence the range of electric vehicles, including battery capacity, motor efficiency, and aerodynamic drag.
Analyze the energy consumption of different components of an electric vehicle, such as the motor, power electronics, climate control system, and auxiliary systems.
Study energy management strategies to optimize range and reduce electricity consumption, including regenerative braking and thermal management.
Evaluate the impact of speed, acceleration, and road conditions on range and electricity consumption.
Use simulation and modeling tools to predict range and electricity consumption in different driving scenarios.
Analyze different battery technologies and their implications for range and electricity consumption, including energy density, efficiency, and lifespan. Explore charging solutions, including slow charging, fast charging, and wireless charging, and their impact on range and user experience.
Investigate regulations and standards related to the range and energy consumption of electric vehicles.
Identify opportunities to improve range and reduce energy consumption through technological innovations and improvements in vehicle design.
Conduct case studies of existing electric vehicles, evaluating their real-world range and energy consumption.
5. Mastering Autonomy and Consumption: Course for Electric Vehicles
5. Mastering Range and Consumption: Course for Electric Vehicles
Understand the range of electric vehicles: factors that influence it and strategies to optimize it.
Analyze energy consumption: key metrics, system efficiency, and how to reduce costs.
Study batteries: current technologies, capacity, lifespan, charging, and maintenance.
Evaluate the charging infrastructure: types of chargers, charging networks, and their impact on range.
Optimize energy management: Battery Management Systems (BMS) and efficient driving strategies.
Understand the impact of design and aerodynamics on range and consumption.
Analyze the different electric vehicle models on the market and their characteristics.
Apply tools and simulations to predict and improve range and consumption.
Explore future trends in electric vehicles: New technologies and developments.
Develop decision-making skills related to the purchase and use of electric vehicles.
6. Maximizing Autonomy and Optimizing Consumption in the Electric World
6. Maximizing Range and Optimizing Consumption in the Electric World
Understand the principles of electrical power management in onboard propulsion and generation systems.
Evaluate the impact of energy efficiency on the range of electric vessels.
Identify strategies to reduce energy consumption in different marine electric applications.
Analyze the factors that influence range, including battery capacity, motor efficiency, and operating conditions.
Optimize the design and selection of electrical components to maximize efficiency and range.
Explore emerging technologies in the field of marine electric power, such as high-density batteries and intelligent energy management systems.
Apply simulation tools and methods to predict and improve the range of electric vessels.
Develop maintenance and operating strategies that optimize energy consumption. energy and extend the lifespan of electrical components.
Who this program is for:
Course on autonomy and consumption in electric vehicles
- Engineers with degrees in Electrical Engineering, Electronics, Mechanical Engineering, Industrial Engineering, or related automotive fields.
- Professionals working in the automotive industry, including electric vehicle manufacturers (OEMs), battery development and component companies, and electric vehicle charging and maintenance companies.
- Engineers and technicians wishing to specialize in areas such as energy efficiency, battery management, range optimization, and energy consumption analysis in electric vehicles.
- Consultants and advisors providing services in the electric mobility sector who are looking to expand their knowledge of rangement and energy consumption in this type of vehicle.
- People interested in research and development of technologies related to electric vehicles, including staff from technology centers and universities.
Recommended requirements: Basic knowledge of electricity, mechanics, and programming; familiarity with energy efficiency concepts; ES/EN B2+.
- 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.
Module 1 — Fundamentals of Energy Efficiency in EVs
1.1 Introduction to energy efficiency in electric vehicles (EVs).
1.2 Principles of EV physics and their impact on consumption.
1.3 Key EV components and their influence on efficiency.
1.4 External factors affecting range and consumption (weather, terrain, etc.).
1.5 Aerodynamic design and its relationship to energy efficiency.
1.6 Battery management systems (BMS) and their role in optimization.
1.7 Electric propulsion systems and their efficiency.
1.8 Importance of weight and rolling resistance.
1.9 Methods for measuring and analyzing energy consumption in EVs.
1.10 Trends and emerging technologies in energy efficiency for EVs.
2.2 Fundamentals of Performance Analysis in Electric Vehicles
2.2 Factors Influencing Energy Consumption in EVs
2.3 Methodology for Measuring and Evaluating Electrical Consumption
2.4 Tools and Software for Performance Data Analysis
2.5 Data Interpretation: Consumption and Efficiency Curves
2.6 Analysis of the Impact of Environmental Conditions on Performance
2.7 Study of the Relationship between Driving Style and Consumption
2.8 Design of Performance Tests and Comparative Evaluation
2.9 Identification and Resolution of Energy Efficiency Problems
2.20 Reporting and Presentation of Analysis Results
3.3 Fundamentals of Electric Vehicle (EV) Range
3.2 Factors Influencing Energy Consumption in EVs
3.3 Key Components and Their Impact on Efficiency
3.4 Battery Types and Their Relationship to Range
3.5 Methods for Measuring and Calculating Range
3.6 The Driver’s Role in Optimizing Consumption
3.7 Impact of Vehicle Design on Range
3.8 Climate and Driving Conditions: Effects on Range
3.9 Introduction to Energy Efficiency in EVs
3.30 Basic Concepts of Charging and Recharging in EVs
4.4 Range and Consumption Analysis: Introduction to Key Concepts
4.2 Factors Influencing Range and Consumption: Variables and Their Impact
4.3 Measurements and Tests: Methods for Evaluating Range and Consumption
4.4 Range Simulation: Tools and Models
4.5 Impact of Driving Style on Range and Consumption
4.6 Weather Conditions and Their Effect on Range
4.7 Preventive Maintenance and Its Relationship to Energy Efficiency
4.8 Vehicle Design: Aspects that Optimize Range
4.9 Consumption Comparison: Different Types of Electric Vehicles
4.40 Future Trends: Advances in Range and Consumption
5.5 Fundamentals of Energy Efficiency in Electric Vehicles
5.5 Key Components and Their Impact on Consumption
5.3 Efficient Driving Strategies
5.4 Aerodynamic Optimization and Drag Reduction
5.5 Tire Selection and Management to Maximize Range
5.6 Thermal Management Systems and Their Influence
5.7 Energy Recovery and Regenerative Braking
5.8 Efficient Charging and Charging Time Optimization
5.9 Impact of Weight on Range and Consumption
5.50 Case Studies and Best Practices
6.6 Analysis of factors influencing the range of electric vehicles.
6.2 Strategies for optimizing energy consumption in different scenarios.
6.3 Design of battery management systems (BMS) to maximize range.
6.4 Impact of aerodynamics and weight on consumption and range.
6.5 Influence of driving styles on consumption and range.
6.6 Tire selection and its impact on energy efficiency.
6.7 Use of regenerative braking systems to increase range.
6.8 Importance of climate control and its impact on energy consumption.
6.9 Optimization of charging infrastructure to improve range.
6.60 Case studies: analysis of range and consumption in specific electric vehicles.
- 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”).