Thermal modeling course for batteries
About our
Battery Thermal Modeling Course
Explore the application of advanced techniques in computational simulation and heat transfer analysis, focusing on the design and optimization of the thermal behavior of lithium-ion (Li-ion) batteries. Key concepts such as heat generation, heat dissipation, and the effect of temperature on battery performance and safety are addressed. numerical modeling tools are used, and different thermal management system (BTMS) architectures applied to electric vehicles (EVs) and energy storage (ESS) are studied.
This course provides hands-on experience in creating and validating thermal models, including the use of specialized software to simulate battery behavior under various operating conditions. Participants will learn to evaluate the efficiency of cooling systems, predict long-term performance, and identify temperature-related critical design points. Emphasis is placed on applying this knowledge to develop solutions that improve battery safety, durability, and lifespan.
Thermal modeling course for batteries
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
750 $
Competencies and results
What you will learn
1. Thermodynamic Modeling and Thermal Management of Batteries
Here is the requested content:
1. Thermodynamic Modeling and Thermal Management of Batteries
Understand the fundamental principles of thermodynamics applied to battery systems, including key concepts such as enthalpy, entropy, and Gibbs free energy.
Master the thermodynamic equations and models to simulate the thermal behavior of batteries under various operating and environmental conditions.
Analyze the mechanisms of heat generation in batteries, such as electrochemical reactions, internal resistance, and Joule effects.
Study the different battery technologies (lithium-ion, nickel-metal hydride, etc.) and their specific thermodynamic characteristics.
Design and optimize thermal management systems (TMS) for batteries, including cooling and heating strategies, using different methods such as convection, conduction, and radiation.
Evaluate the impact of temperature on the performance, lifespan, and safety of batteries. batteries.
Apply computational simulation tools (e.g., COMSOL, ANSYS) to model and analyze the thermal behavior of batteries and TMS.
Interpret simulation results and perform sensitivity analyses to optimize the design and operation of battery systems.
Understand the relevant standards and regulations for battery thermal management in different applications (electric vehicles, energy storage, etc.).
Identify and troubleshoot problems related to battery thermal management, such as overheating, thermal runaway, and premature degradation.
1. **Mastering Thermal Modeling for Batteries: Learning and Application**
- Understand the fundamental principles of thermal modeling applied to batteries.
- Identify and analyze the main components of a battery, including cells, modules, and the battery management system (BMS).
- Use thermal simulation software to model the thermal behavior of batteries under different operating and environmental conditions.
- Analyze the effects of heat on battery performance, lifespan, and safety.
- Evaluate and optimize the thermal design of batteries to improve their efficiency and reliability.
- Learn to apply cooling and thermal management techniques to control battery temperature.
- Interpret the results of thermal simulations and use them to make informed decisions about battery design and operation.
- Become familiar with the standards and regulations related to battery safety and thermal performance.
- Study thermal modeling case studies of Batteries in specific applications, such as electric vehicles, energy storage systems, and portable devices.
Develop practical skills in thermal modeling of batteries through exercises and projects.
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 Thermal Models for Batteries: A Practical Approach**
- Understand the fundamentals of thermodynamics applied to battery systems.
- Master the use of thermal simulation software to model battery behavior.
- Identify and analyze the factors that influence heat generation and dissipation in batteries.
- Learn to build accurate thermal models of batteries using experimental data and technical specifications.
- Simulate the thermal performance of batteries under different operating conditions and environments.
- Interpret simulation results to optimize battery design and thermal management.
- Evaluate the impact of various parameters (charge/discharge current, ambient temperature, etc.) on battery thermal performance.
- Apply thermal management techniques to prevent overheating and improve battery lifespan.
- Analyze case studies and practical examples of battery thermal simulation.
- Develop skills for solving problems related to battery thermal management in different applications.
5. **Thermal Modeling of Batteries: Design, Simulation and Optimization**
5. **Thermal Modeling of Batteries: Design, Simulation, and Optimization**
- Fundamentals of thermodynamics and heat transfer applied to batteries.
- Principles of electrochemistry and their relationship to heat generation.
- Battery cell modeling: zero-order models, equivalent circuit models (ECE).
- Numerical simulation of heat transfer in batteries: finite element analysis (FEA) and finite difference methods (FDM).
- Design of battery management systems (BMS): air cooling, liquid cooling, and passive methods.
- Optimization of battery design to minimize heat generation and maximize thermal efficiency.
- Analysis of temperature distribution in batteries and its impact on performance and lifespan.
- Modeling and simulation of thermal failures and their mitigation.
- Software applications Specialized for the simulation and thermal analysis of batteries.
Experimental validation of thermal models and comparison with real data.
6. **Thermal Modeling of Batteries: Analysis, Simulation and Control**
6. **Battery Thermal Modeling: Analysis, Simulation, and Control**
Understand the fundamental principles of heat transfer in batteries: conduction, convection, and radiation.
Analyze different types of batteries (lithium-ion, etc.) and their thermal characteristics.
Develop mathematical models to simulate heat generation and temperature distribution within batteries.
Use simulation software (e.g., COMSOL, Ansys) to model the thermal behavior of batteries under various operating conditions.
Analyze the impact of factors such as charge/discharge current, ambient temperature, and battery design on thermal performance.
Design and simulate battery management systems (BMS) to control battery temperature and optimize battery life and safety.
Implement cooling strategies (e.g., liquid cooling, air cooling). to prevent battery overheating.
Evaluate the influence of cell design and battery packaging on thermal performance.
Interpret and validate the results of thermal simulations using experimental data.
Apply the acquired knowledge to the design of batteries for specific applications (electric vehicles, energy storage, etc.).
Who this program is for:
Thermal modeling course for batteries
- Engineers with degrees in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or fields related to energy and battery system design.
- Professionals in the automotive industry, especially those working in the development, integration, and thermal management of battery systems for electric vehicles (EVs), hybrid electric vehicles (HEVs), and other energy storage systems.
- Scientists and engineers from companies specializing in battery R&D, cell and component manufacturers, and energy management companies.
- Researchers and academics in areas related to materials science, electrochemistry, heat transfer, and computational modeling and simulation.
- Design and development engineers seeking to enhance their knowledge of battery system modeling and analysis, including those involved in battery pack design.
Batteries, battery management systems (BMS), and cooling systems.
Professionals interested in optimizing battery performance, safety, durability, and lifespan, including test engineers, performance analysts, and service technicians.
Recommended requirements: Basic knowledge of thermodynamics, heat transfer, electrochemistry, and programming (preferably in Python or MATLAB). A good level of English (B2+/C1) is appreciated for understanding the materials and participating in the course. Bridging tracks can be offered if specific knowledge is required.
- 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 Thermal Battery Modeling
1.1 Introduction to Thermodynamics Applied to Batteries
1.2 Key Concepts of Heat Transfer
1.3 Thermal Properties of Battery Materials
1.4 Types of Batteries and Their Thermal Behavior
1.5 Principles of Thermal Modeling
1.6 Importance of Thermal Management in Batteries
1.7 Critical Components in Thermal Design
1.8 Cooling and Heating Methods
1.9 Introduction to Thermal Simulation Software
1.10 Application Examples and Case Studies
2.2 Fundamentals of Thermodynamics Applied to Batteries
2.2 Heat Transfer in Battery Systems
2.3 Thermal Modeling of Individual Cells
2.4 Thermal Modeling of Battery Modules and Packs
2.5 Simulation and Analysis of Thermal Management
2.6 Design of Battery Cooling Systems
2.7 Optimization of Thermal Management
2.8 Thermal Control Strategies in Batteries
2.9 Impact of Temperature on Battery Performance and Lifespan
2.20 Case Studies: Real-World Applications and Innovative Solutions
3.3 Introduction to Thermal Battery Modeling: Fundamental Concepts
3.2 Heat Transfer Fundamentals: Conduction, Convection, and Radiation
3.3 Battery System Design: Thermal Considerations
3.4 Thermal Model Simulation: Software and Tools
3.5 Thermal Management Optimization: Cooling Strategies
3.6 Scenario Analysis: Simulation and Performance Evaluation
3.7 Design for Thermal Optimization: Material and Component Selection
3.8 Case Studies: Applications and Practical Examples
3.9 Thermal Model Design and Validation: Best Practices
3.30 Thermal Model Integration: Management and Control
4.4 Introduction to Thermal Simulation in Batteries: Fundamentals and Principles
4.2 Selection of Thermal Models: Types and Applications
4.3 Simulation of Thermal Systems in Batteries: Tools and Software
4.4 Analysis of Simulation Data: Interpretation and Results
4.5 Cooling Strategies and Thermal Management: Design and Evaluation
4.6 Optimization of Battery Systems: Design and Simulation
4.7 Case Studies: Simulation and Analysis of Real-World Scenarios
4.8 Model Validation: Comparison with Experimental Data
4.9 Battery System Design: Application of Simulation
4.40 Conclusions and Future Trends in Thermal Modeling of Batteries
5.5 Fundamental Concepts of Thermodynamics Applied to Batteries
5.5 Principles of Heat Transfer in Battery Systems
5.3 Types of Batteries: Chemistry and Thermal Behavior
5.4 Key Parameters: Capacity, Voltage, Current, and Temperature
5.5 Importance of Thermal Management for Battery Life and Safety
5.6 Introduction to Thermal Simulation Tools
5.7 Common Challenges in Thermodynamic Battery Modeling
5.8 Thermal Analysis and Design Methodologies
5.9 Case Studies: Thermal Failures and Mitigation Strategies
5.50 Simulation Fundamentals and Software Used
6.6 Introduction to Thermal Analysis in Batteries: Fundamental Concepts
6.2 Thermal Modeling: Principles and Applications in Batteries
6.3 Key Parameters: Identification and Measurement of Thermal Variables
6.4 Thermal Simulation: Software and Tools for Analysis
6.5 Thermal Control Strategies: Cooling and Heating Systems
6.6 Thermal Failure Analysis: Risk Identification and Mitigation
6.7 Thermal Design and Optimization: Material and Configuration Selection
6.8 Integration of Thermal Management Systems: Monitoring and Control
6.9 Case Studies: Real-World Applications and Best Practices
6.60 Future of Thermal Analysis and Control in Batteries
- 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
- Battery Thermal Modeling and Simulation: Design and Optimization
- Thermodynamic Analysis and Thermal Management: Advanced Cooling Strategies
- Battery System Design and Simulation: Comprehensive Thermal Modeling
- Battery Thermal Control and Management: Simulation and Practical Validation
- Battery Thermal Management: Design of thermodynamic models, simulation, and optimization of cooling systems.
- Model Analysis: Simulation of thermal models for performance analysis and control.
- Optimization and Control: Strategies to improve battery efficiency and safety.
- Thermal Modeling and Simulation of Batteries: Cooling Strategy Design and Performance Analysis.
- Battery Thermal Modeling: Design, simulation, and optimization; cooling strategies.
- Thermal Management: Analysis and control; a practical approach.
- Advanced Modeling: Battery systems; practical application.
- Simulation: Thermal models; analysis and optimization.
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”).