Long-distance electric truck course
About our
Long-Haul Electric Truck Course
This course focuses on the evolution and application of key technologies for sustainable transport. It covers electrical engineering, high-capacity battery management, and energy efficiency optimization for long-haul routes. It explores fast-charging systems, the necessary charging infrastructure, and the challenges of electric vehicle range. Participants learn about route simulation and modeling, and specific regulations and standards for the road transport sector, preparing professionals for the future of sustainable transport.
The course includes case studies of logistics companies that have adopted electric fleets, as well as route simulation and cost optimization. It covers electric vehicle maintenance techniques, including component diagnostics and repair. The training prepares professionals for roles in fleet management, electric vehicle engineering, transport consulting, and charging infrastructure development, driving the development of a greener and more efficient transport industry.
Long-distance electric truck course
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 2
299 $
Competencies and results
What you will learn
1. Optimization of Autonomy and Charging in Long-Distance Electric Truck Fleets
- Understand the critical factors that influence the range of long-haul electric trucks, including aerodynamic drag, weight, motor efficiency, and battery capacity.
- Evaluate strategies for optimizing the charging of electric truck fleets, such as route planning, load management, and charging infrastructure.
- Analyze the different battery technologies used in electric trucks, including their performance characteristics, lifespan, and cost.
- Study the impact of environmental conditions, such as temperature and topography, on the range and performance of electric trucks.
- Use simulation and modeling tools to predict the performance of electric trucks in different operating scenarios.
- Explore charging infrastructure options, including slow charging, fast charging, and wireless charging, and evaluate their feasibility for long-haul fleets.
- Analyze the operating costs of electric truck fleets, including the
- Evaluate the energy, maintenance, and depreciation costs and compare them with those of diesel trucks.
- Implement strategies to minimize energy consumption, such as speed optimization, weight reduction, and the use of energy-efficient technologies.
- Evaluate the impact of range and load on logistics planning and scheduling of electric truck fleets.
- Understand government regulations and policies related to electric vehicles and their impact on the adoption of long-haul electric trucks.
2. Design and Energy Efficiency in Electric Propulsion Systems for Long-Haul Trucks
- Electric Propulsion Fundamentals: Understand the basic principles of electric propulsion systems, including electric motors, inverters, batteries, and energy management systems.
- Electric System Design Optimization: Learn to design efficient and optimized electric propulsion systems for long-haul trucks, considering factors such as weight, performance, and range.
- Propulsion System Modeling and Simulation: Use simulation tools to model the performance of electric propulsion systems, predict energy consumption, and evaluate different configurations.
- Component Integration: Study the integration of the different components of the electric propulsion system, including the selection and sizing of motors, batteries, and control systems.
- Energy Management: Learn energy management strategies to optimize efficiency and The autonomy of electric trucks, including battery charging and discharging management.
Safety Aspects: Analyze the safety aspects related to electric propulsion systems, including protection against overloads, short circuits, and electrical discharges.
Regulations and Standards: Become familiar with the regulations and standards relevant to the design and operation of electric propulsion systems in long-haul trucks.
Battery and Storage System Design: Explore the design of high-capacity battery systems, including cell selection, module design, and thermal management.
Energy Efficiency in Operation: Learn how to optimize energy efficiency in the operation of electric trucks, including speed management, route optimization, and the use of energy recovery systems.
Trends Future: Explore the latest trends in electric propulsion technology for long-haul trucks, including the development of new battery, motor, and control system technologies.
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 of Operating Costs and Profitability of Electric Trucks in Long Distance Transport
4. Analysis of Operating Costs and Profitability of Electric Trucks in Long-Distance Transport
Detailed comparison of operating costs (OPEX) between electric and diesel trucks on long-distance routes.
Evaluation of the initial investment (CAPEX) and its impact on the profitability of electric trucks.
Analysis of energy costs: electricity rates, charging, and their influence on operational efficiency.
Study of the factors that affect battery lifespan and their impact on long-term costs.
Determination of maintenance and repair costs for electric trucks compared to diesel trucks.
Modeling and simulation of profitability scenarios based on different routes, loads, and operating conditions.
Identification of the key variables that influence the profitability of electric trucks.
Analysis of the impact of government policies (incentives, subsidies) on the Economic viability.
Evaluation of the impact of charging infrastructure on profitability and operational efficiency.
Development of strategies to optimize the profitability of electric trucks in long-distance transport.
5. Implementation and Maintenance of High Capacity Battery Systems for Long Distance Electric Trucks
- High Capacity Battery System Design:
- Explore the selection of battery cells and modules, considering voltage, capacity, specific energy, and energy density.
- Study battery system architectures, including series-parallel configurations and balancing strategies.
- Analyze the factors that affect battery lifespan, such as temperature, charge/discharge current, and depth of discharge (DoD).
- Battery Management System (BMS) Implementation:
- Understand the function of the BMS and its key components: sensors, microcontrollers, and algorithms.
- Master the monitoring of critical parameters: cell voltage, current, temperature, and state of charge (SoC).
- Learn about BMS protection and safety strategies, including the prevention of overcharging, over-discharging, and short circuits.
Explore CAN communications and other interfaces used by the BMS.
Battery System Maintenance and Diagnostics:
Implement visual inspection procedures and functional tests for batteries.
Identify common battery faults, such as degradation, imbalance, and short circuits.
Analyze advanced diagnostic techniques, such as electrochemical impedance analysis (EIS) and impedance spectroscopy.
Develop preventive and corrective maintenance plans for battery systems.
Integration of Battery Systems in Long-Haul Electric Trucks:
Study electromagnetic compatibility (EMC) and thermal management of battery systems in electric vehicles.
Analyze safety and Regulations applicable to high-voltage battery systems.
Learn about fast-charging strategies and charging infrastructure for long-haul electric trucks.
Evaluate the impact of battery systems on vehicle performance and range.
Energy Optimization and Efficiency:
Implement strategies to maximize the energy efficiency of battery systems.
Analyze the impact of thermal management on battery efficiency and lifespan.
Use simulation tools to optimize the design and operation of battery systems.
Evaluate emerging battery technologies, such as solid-state and metal-air batteries.
6. Simulation and Performance Analysis of Electric Drivetrains for Long-Haul Trucks
Here is the requested content:
6. Simulation and Performance Analysis of Electric Drivetrains for Long-Haul Trucks
- Implementation of energy management and control techniques to improve system efficiency and safety.
- Analysis of the interaction between the powertrain, battery, and vehicle control system.
Modeling and simulation of electric drivetrains, including the identification and mitigation of vibration and resonance modes.
Analysis of energy efficiency and optimization of drivetrain design to maximize range and reduce consumption.
Evaluation of the durability and lifespan of drivetrain components under cyclic loads and extreme operating conditions.
Application of finite element analysis (FEA) techniques to simulate the structural and thermal behavior of components.
Design and analysis of cooling systems to ensure optimal operation of motors and power electronics.
Study of the effects of temperature and vibration on component performance and reliability.
Optimization of drivetrain design to reduce weight, noise, and emissions.
Who this program is for:
Long-distance electric truck course
- Engineers and professionals in the land transport industry interested in fleet electrification and sustainability.
- Technicians and specialists in vehicle maintenance and repair, seeking to update their knowledge to work with electric trucks.
- Professionals from transport and logistics companies, managers, and fleet managers who wish to understand and manage the transition to long-haul electric trucks.
- Entrepreneurs and individuals interested in developing projects related to electric mobility, including charging infrastructure and operational cost analysis.
Recommended requirements: Basic knowledge of automotive mechanics and experience in the transport sector. Valuable: Knowledge of electromobility and/or electronics.
- 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.
1.1 Introduction to Range and Its Importance in Long-Haul Electric Trucks
1.2 Factors Affecting Range: Weight, Aerodynamics, Tires, and Motor Efficiency
1.3 Optimizing the Energy Efficiency of the Electric Motor
1.4 Battery Management Strategies to Maximize Range
1.5 Selecting and Optimizing Low Rolling Resistance Tires
1.6 Aerodynamic Design and Analysis for Reducing Energy Consumption
1.7 Route Planning and Management to Maximize Range
1.8 Efficient Driving Techniques for Electric Truck Drivers
1.9 Modeling and Simulating Range Under Different Operating Conditions
1.10 Evaluating Range in Real-World Scenarios and Analyzing Case Studies
2.2 Principles of Electrical Design for Long-Haul Trucks
2.2 Energy Efficiency in Electric Motors for Heavy Transport
2.3 Battery and Thermal Management System Design
2.4 Selection and Design of Inverters and Motor Controllers
2.5 Optimization of Electric Transmission Systems
2.6 Design of Regenerative Braking Systems
2.7 Integration of Solar Panels and Other Renewable Energy Sources
2.8 Energy Efficiency Analysis Under Different Driving Conditions
2.9 Design for Modularity and Simplified Maintenance
2.20 Simulation and Optimization of Energy Design with Specialized Software
3.3 Planning optimized routes to maximize range and minimize energy consumption
3.2 Designing strategically located charging stations for efficient route coverage
3.3 Integrating fleet management software to monitor vehicle charging status and location
3.4 Analyzing real-time performance data to identify opportunities for energy efficiency improvements
3.5 Evaluating current and future charging infrastructure to meet the demands of a growing fleet
3.6 Developing strategies for peak load management and mitigating impacts on the electrical grid
3.7 Safety and regulatory considerations for charging station operation and energy management
3.8 Optimizing route scheduling to minimize downtime and maximize productivity
3.9 Implementing fast-charging technologies and other innovations to reduce charging times
3.30 Studying successful case studies and best practices in charging and route management for long-haul electric truck fleets
4.4 Analysis of Acquisition and Financing Costs for Long-Haul Electric Trucks
4.2 Comparison of Operating Costs: Diesel vs. Electric (Fuel, Maintenance, etc.)
4.3 Profitability Modeling: Cash Flows and Return on Investment (ROI)
4.4 Impact of Government Incentives and Subsidies on Profitability
4.5 Evaluation of Total Cost of Ownership (TCO) Over the Life Cycle
4.6 Strategies for Optimizing Operating Costs on Long-Haul Routes
4.7 Sensitivity Analysis: Key Factors Impacting Profitability
4.8 Impact of Electricity Availability and Price on Profitability
4.9 Case Studies: Profitability of Electric Fleets in Different Scenarios
4.40 Tools and Metrics for the Financial Management of Electric Fleets
5.5 Range Optimization: Key Factors
5.5 Range Modeling and Simulation
5.3 Efficient Charging Strategies
5.4 Payload Management and its Impact on Range
5.5 Route Analysis and Trip Planning
5.6 Implementation of Energy-Saving Technologies
5.7 Real-Time Energy Efficiency Monitoring and Control
5.8 Case Study: Range Optimization in Existing Fleets
5.9 Challenges and Solutions in Long-Distance Range
5.50 Future Trends in Range Optimization
5.5 Design of Electric Propulsion Systems: Key Components
5.5 Selection of Electric Motors and Converters
5.3 Design of Thermal Management Systems
5.4 Optimizing Aerodynamic Design for Energy Efficiency
5.5 Integration of Energy Storage Systems 5.6 Design of energy control and management systems.
5.7 Evaluation of energy efficiency in different operating scenarios.
5.8 Analysis of energy efficiency based on load and speed.
5.9 Case study: Design of electric propulsion systems.
5.50 Trends in design and energy efficiency.
3.5 Charging infrastructure planning: location and capacity.
3.5 Design and management of charging stations for e-trucks.
3.3 Integration of renewable energy into the charging infrastructure.
3.4 Route optimization and trip planning.
3.5 Energy management in the charging infrastructure.
3.6 Fleet management systems and load planning.
3.7 Data analysis and optimization of load management.
3.8 Case study: Management of the charging infrastructure.
3.9 Challenges and Solutions in Infrastructure Management
3.50 Future Trends in Charging Infrastructure Management
4.5 Operating Cost Analysis: TCO and LCC
4.5 Cost Comparison: e-Trucks vs. Diesel Trucks
4.3 Return on Investment in e-Trucks
4.4 Financing Models and Subsidies
4.5 Impact of Depreciation and Residual Value
4.6 Scenario Analysis and Financial Simulation
4.7 Evaluating the Impact of Charging Infrastructure on Profitability
4.8 Case Study: Profitability Analysis of Electric Fleets
4.9 Challenges and Solutions in Profitability
4.50 Trends in Profitability and Cost Analysis
5.5 Types and Technologies of High-Capacity Batteries
5.5 Selection and Design of Battery Systems 5.3 Battery Thermal Management
5.4 Battery Management Systems (BMS)
5.5 Battery Integration and Safety
5.6 Battery Maintenance and Replacement
5.7 Battery Testing and Certification
5.8 Case Study: Implementation of High-Capacity Batteries
5.9 Challenges and Solutions in Battery Use
5.50 Technological Advancements in Batteries for e-Trucks
6.5 Fundamentals of Electric Drivetrains
6.5 Design of Electric Drivetrains for e-Trucks
6.3 Performance Simulation and System Modeling
6.4 Drivetrain Efficiency Analysis
6.5 Drivetrain Configuration Optimization
6.6 Drivetrain Component Integration
6.7 Performance Evaluation Under Different Operating Conditions 6.8 Case Study: Performance Simulation of Transmission Trains
6.9 Challenges and Solutions in Simulation and Performance
6.50 Trends in the Design and Simulation of Electric Trains
7.5 Fundamentals of Predictive Maintenance
7.5 Sensors and Monitoring Systems for Electric Fleets
7.3 Data Analysis and Fault Diagnosis
7.4 Predictive Maintenance Strategies
7.5 Maintenance Planning and Scheduling
7.6 Implementing a Predictive Maintenance Program
7.7 Case Study: Implementing Predictive Maintenance
7.8 Challenges and Solutions in Predictive Maintenance
7.9 Spare Parts Management and Logistics
7.50 Trends in Predictive Maintenance
8.5 Principles of Aerodynamics Applied to E-Trucks
8.5 Aerodynamic Design of Bodies and Components 8.3 Aerodynamic Simulation and Analysis
8.4 Thermal Management of Components and Systems
8.5 Design of Efficient Cooling Systems
8.6 Integration of Aerodynamics and Thermal Management
8.7 Evaluation of Aerodynamic and Thermal Performance
8.8 Case Study: Aerodynamic Analysis and Thermal Management
8.9 Challenges and Solutions in Aerodynamics and Thermal Management
8.50 Trends in Aerodynamics and Thermal Management
6.6 Modeling and Simulation of Electrical Components in Drivetrains
6.2 Electric Drivetrain Architectures: Configurations and Comparisons
6.3 Simulation of Battery Performance and Battery Management Systems (BMS)
6.4 Design and Simulation of Electric Motors and Controllers
6.5 Optimization of Electric Drivetrain Design for Energy Efficiency
6.6 Simulation of Vehicle Dynamics and Energy Consumption
6.7 Analysis of the Influence of Load and Terrain on Performance
6.8 Simulation Tools: Software and Methodologies
6.9 Validation of Models and Simulation Results
6.60 Case Studies: Analysis of Different Operating Scenarios
- 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”).