Software management course for electric vehicles
About our
Software Management Course for Electric Vehicles
This course focuses on software development and management in the context of electric mobility. It covers key topics such as software architecture, embedded systems, battery management systems (BMS), and motor control. Participants will gain knowledge about cybersecurity and over-the-air (OTA) updates, critical elements for the functionality and safety of electric vehicles. The course focuses on the implementation of agile development methodologies and simulation and testing tools to optimize software performance and reliability.
The course offers hands-on training that includes the use of electric vehicle simulators and real-time data analysis. It prepares professionals for roles such as automotive software engineers, BMS management specialists, electric vehicle software architects, and cybersecurity analysts, boosting employability in the growing electromobility industry.
Software management course for 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
620 $
Competencies and results
What you will learn
1. Comprehensive Mastery of Software in Electric Vehicles: Management, Development and Optimization
- Fundamentals of Battery Management System (BMS) architecture and operation.
- Principles of programming and embedded software development for electric vehicles (EVs).
- Techniques for optimizing EV performance and energy efficiency.
- Tools and platforms for EV system analysis and simulation.
- VE data management and performance analysis.
- Developing charging and discharging strategies to maximize battery lifespan.
- Implementing safety and security systems in EVs.
- Electric vehicle industry regulations and standards.
2. In-depth Analysis and Expert Management of Software for Electric Vehicles
Sure, here’s the requested content:
**What Will You Learn? In-Depth Analysis and Expert Management of Electric Vehicle Software**
Below are the details of the knowledge and skills you will acquire:
1. **Architecture and Components of Electric Vehicle Software:**
* You will understand the overall software structure, from low-level firmware to user applications.
* You will learn about the different modules and key components, such as the battery management system (BMS), motor control, user interface, and communication systems.
* You will analyze the interactions between the different components and how data flow is managed.
2. **Specific Software Functions:**
* You will master energy control and battery management, including state of charge (SOC) estimation, cell balancing, and overcharge and over-discharge protection.
* You will understand the operation of electric motor control, including performance optimization and energy efficiency.
* * You will learn to manage vehicle charging and discharging, as well as communication with external charging stations.
3. **Development Tools and Methodologies:**
* You will become familiar with software development tools specific to electric vehicles, including integrated development environments (IDEs) and simulators.
* You will learn to use relevant programming languages, such as C/C++, Python, and other industry-specific languages.
* You will acquire skills in software debugging and testing, including unit testing, integration testing, and system testing.
4. **Security and Cybersecurity in Electric Vehicles:**
* You will understand the security and cybersecurity risks associated with electric vehicles.
* You will learn to implement security measures to protect vehicle software and systems against malicious attacks.
* You will analyze the regulations and security standards applicable to the electric vehicle industry.
5. **Software Lifecycle Management (SDLC):**
* You will learn to manage the software lifecycle, from planning and design to implementation, testing, deployment, and maintenance.
* You will understand the importance of configuration management and version control.
* You will acquire skills in software documentation and change tracking.
6. **Performance and Energy Efficiency Optimization:**
* You will analyze software optimization techniques to improve vehicle performance and energy efficiency.
* You will learn to use performance analysis and profiling tools to identify bottlenecks and areas for improvement.
* You will understand how software can influence vehicle range and energy consumption.
7. **Integration with Other Vehicle Systems:**
* You will learn how to integrate electric vehicle software with other systems, such as the infotainment system, Advanced Driver Assistance Systems (ADAS), and Vehicle-to-Experience (V2X) communication systems.
* You will understand the communication protocols and interfaces used for system integration.
* You will analyze the challenges and opportunities of system integration in the context of electric vehicles.
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. Advanced Development and Management of Software for Electric Vehicles: A Practical Approach
4. Advanced Software Development and Management for Electric Vehicles: A Practical Approach
- Architecture and design of embedded systems for electric vehicles (EVs).
- Programming languages specific to EV software (C/C++, Python).
- Battery Management System (BMS) software development: state estimation algorithms, cell balancing, protection, and safety.
- Implementation of controllers for electric motors: vector control, predictive control, and modulation techniques.
- Programming of communication interfaces: CAN bus, Ethernet, diagnostic protocols (OBD).
- Software design for Advanced Driver Assistance Systems (ADAS) in EVs.
- Integration of charging and energy management systems into the EV infrastructure.
- Simulation and modeling of EV software using simulation tools (Simulink, etc.).
Software testing and validation: unit testing, integration testing, and hardware-in-the-loop (HIL) testing.
Software lifecycle management (SWLC): iterative development, version control, and agile methodologies (Scrum).
Cybersecurity in EV software: protection against attacks, authentication, and update management.
Legislation and regulations related to EV software (ISO 26262, etc.).
Data analysis and machine learning for performance optimization and predictive diagnostics in EVs.
Human-machine interface (HMI) design for user interaction in electric vehicles.
5. Master's Degree in Software Management for Electric Vehicles: A Journey to the Automotive Future
5. Master’s Degree in Software Management for Electric Vehicles: A Journey into the Automotive Future
- Master the fundamentals of software architecture for electric vehicles (EVs), including real-time operating systems (RTOS) and development platforms.
- Analyze and design advanced battery management systems (BMS), understanding battery state estimation algorithms (SoC, SoH) and thermal management strategies.
- Implement and manage electronic control units (ECUs) for EVs, encompassing the control of electric motors, regenerative braking systems, and propulsion systems.
- Study the functional safety standards and regulations (ISO 26262) applicable to EV software development, ensuring the reliability and safety of the systems.
- Learn about cybersecurity in electric vehicles, including data protection, intrusion detection, and incident response.
- Deepen your knowledge of EV software project management, applying agile methodologies (Scrum, Kanban) and configuration management tools.
- Understand the electric vehicle market, including current trends, future projections, and industry challenges.
- Develop leadership and multidisciplinary team management skills, essential for the effective management of EV software projects.
- Acquire knowledge of artificial intelligence (AI) and machine learning (ML) applied to electric vehicles, including autonomous driving and performance optimization.
- Analyze the implications of sustainability in the electric vehicle industry, including battery lifecycle and waste management.
Security.
6. Unraveling Software Management in Electric Vehicles: Deep Learning and Practical Application
6. Unraveling Software Management in Electric Vehicles: Deep Learning and Practical Application
- Mastering Software Architecture in Electric Vehicles (EVs): Explore the fundamental software components that control EVs, from the battery management system (BMS) to the propulsion and control systems.
- Analysis and Design of EV-Specific Software: Learn to design robust and efficient software, considering the specific characteristics of EVs, including real-time requirements, functional safety, and cybersecurity.
- Implementation of Advanced Control Algorithms: Delve into the development and optimization of control algorithms for energy management, motor efficiency, and vehicle dynamics.
- Battery Management (BMS): Master the principles and techniques of battery management, including state of charge (SOC) estimation, cell balancing, and fault protection.
- EV Software Testing and Validation: Gain hands-on experience in performing comprehensive software testing, including unit, integration, and system testing, using EV-specific tools and methodologies.
- Software Diagnostics and Maintenance: Learn to diagnose EV software problems and apply maintenance solutions, including firmware updates and bug fixes.
- Cybersecurity in Electric Vehicles: Understand the cybersecurity risks associated with EVs and learn how to implement security measures to protect software systems against attacks.
- Connected and Autonomous Systems Integration: Explore software integration for vehicle connectivity and autonomous driving functions, including Advanced Driver Assistance Systems (ADAS).
- EV Software Development Tools and Technologies: Become familiar with software development tools, simulators, and testing environments used in the EV industry.
- Practical Application: Development of a Software Project for an EV: Participate in a practical project that will allow you to apply the knowledge acquired to develop a complete software solution for an electric vehicle.
Who this program is for:
Software management course for electric vehicles
- Engineers with degrees in Aerospace, Mechanical, Industrial, or related fields.
- Industry experts in Electric Vehicle Manufacturers (OEMs), Maintenance and Repair (MRO), Technology Consulting, and Research Centers.
- Professionals in areas such as Flight Testing, Aeronautical Certification, Avionics, Systems Control, and Flight Dynamics, who wish to deepen their knowledge.
- Personnel from Regulatory Bodies and Urban Air Mobility (UAM) authorities and eVTOL professionals interested in acquiring knowledge of regulatory compliance.
Entry Requirements: Prior knowledge of aerodynamics, control, and structures is recommended. Spanish/English B2+/C1 level. We offer bridging tracks to reinforce prior knowledge.
- 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 — Introduction to Software Management in EVs
1.1 Fundamentals of Software Management in Electric Vehicles (EVs)
1.2 Software Architecture in EV Systems
1.3 Software Development Life Cycle (SDLC) in EVs
1.4 Tools and Methodologies for Software Management in EVs
1.5 Standards and Regulations for Functional Safety in EV Software
1.6 Software Testing and Validation in EVs
1.7 Configuration Management and Version Control of EV Software
1.8 Software Integration in EV Systems: Hardware and Software
1.9 Current and Future Trends in Software Management for EVs
1.10 Case Studies: Examples of Successful Software Management in the EV Industry
2.2 Introduction to Software Analysis in Electric Vehicles
2.2 Software Architecture for Electric Vehicles: Components and Functions
2.3 Software Requirements Analysis in EVs
2.4 Software Design and Modeling in EVs
2.5 Software Testing and Validation in EVs
2.6 Software Configuration Management in EVs
2.7 Software Integration in EV Systems
2.8 Software Security and Protection in EVs
2.9 Software Updating and Maintenance in EVs
2.20 Case Studies: Software Analysis in EV Models
3.3 Software Architecture in Electric Vehicles: Fundamentals and Key Components
3.2 Embedded and Real-Time Systems: Design and Programming
3.3 Sensors and Actuators: Integration and Communication
3.4 Vehicle Communication Protocols: CAN, Ethernet, LIN
3.5 Software Diagnostics and Calibration: Tools and Techniques
3.6 Cybersecurity in Electric Vehicles: Threats and Mitigation
3.7 Over-the-Air (OTA) Updates: Implementation and Management
3.8 Battery Management Software (BMS): Functions and Control
3.9 System Modeling and Simulation: Development and Testing
3.30 Standards and Regulations in Software Management: ISO 26262, AUTOSAR
4.4 Electric Propulsion, Multiple Rotors
4.2 Emerging Certification Requirements
4.3 Energy and Thermal in E-Propulsion
4.4 Design for Maintainability and Modular Swaps
4.5 LCA/LCC in Rotorcraft and eVTOL
4.6 Airspace Operations and Integration
4.7 Data and Digital Threads: MBSE/PLM for Change Control
4.8 Tech Risk and Readiness
4.9 IP, Certifications, and Time-to-Market
4.40 Case Clinic: Go/No-Go with Risk Matrix
5.5 Electric Vehicle Software Architecture: Key Concepts and Components
5.5 Software Design for Battery Management Systems (BMS)
5.3 Software Development for Electric Motor Control
5.4 Embedded Systems and Programming in Electric Vehicles
5.5 Cybersecurity in Electric Vehicle Software
5.6 Software Testing and Validation in Electric Vehicles
5.7 Software Updates and Lifecycle Management
5.8 Tools and Methodologies for Automotive Software Development
5.9 Regulations and Standards for Electric Vehicle Software
5.50 The Future of Electric Vehicle Software: Trends and Innovations
6.6 Software Architecture: Fundamentals and Principles
6.2 Software Design for Electric Vehicles: Patterns and Best Practices
6.3 Software Development Life Cycle (SDLC) in EVs
6.4 Software Testing and Validation: Strategies and Tools
6.5 Functional Security and Cybersecurity in EV Software
6.6 Real-Time Operating Systems (RTOS) for EVs
6.7 Communication and Networking in Electric Vehicles: CAN, Ethernet, etc.
6.8 Data Management and Analysis in EV Software
6.9 Over-the-Air Firmware (FOTA) and Software Updates
6.60 Case Studies: Practical Applications and Challenges
- 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”).