Course details
EV Engineering and System Integration CertificationOverview:
The EV Engineering and System Integration Certification is a comprehensive training program designed for professionals seeking to build a career in the electric vehicle (EV) industry. This industry-focused course offers hands-on experience with advanced tools like Simulink, Ansys, Python, MATLAB, and Autodesk Fusion 360. Delivered by seasoned instructors with over 10 years of experience in the EV and technology sectors, this course ensures participants gain real-world insights and practical knowledge across diverse EV use cases.
Importance of the Course
- Growing Demand in the EV Industry: The electric vehicle sector is expanding rapidly, particularly in regions like UAE and Dubai, creating a strong demand for skilled professionals.
- Industry-Relevant Skills: This course equips you with the practical skills and knowledge needed to excel in EV engineering and system integration, ensuring you are well-prepared for the workforce.
- Real-World Application: The course offers hands-on experience with industry-standard tools like MATLAB, Simulink, Ansys, and Python, making you job-ready for advanced roles in the EV industry.
- Comprehensive Coverage: From EV architecture to powertrain systems, battery management, and thermal strategies, this course covers all crucial aspects of EV technology.
- Career-Ready Preparation: The course includes job roles and responsibilities specific to the EV industry, giving you a clear path to success in an expanding market.
- Sustainable Future: Gain insights into sustainability and innovations in EV manufacturing and circular economy, making you an asset to companies prioritizing green technologies.
- Industry-Focused Learning: Gain practical experience working with tools like MATLAB, Simulink, and Ansys, ensuring a deep understanding of EV systems and components.
- Hands-On Projects: Develop 5+ real-world industry use cases across diverse EV scenarios.
- Expert Instructors: Learn from industry experts with over a decade of experience in the EV and tech sectors.
- Job Market Preparedness: Familiarity with job roles and responsibilities in the EV industry, preparing you for immediate career opportunities.
- Lifetime Access: Enjoy lifetime access to course materials and future updates, ensuring your skills remain current.
Module 1: Introduction to EV Systems & Architecture
- EV vs. Internal Combustion Engine (ICE) Overview
- EV Types: BEV, HEV, PHEV, FCEV – Pros & Cons
- Vehicle Development Process (Concept → Design → Testing → Deployment)
- Systems Integration Overview
- Case Study: Tesla vs. Traditional Automakers – EV Design Evolution
- Hybrid Components & Architectures
- Major Powertrain Components (Motors, Batteries, Power Electronics)
- Controls Integration & Component Sizing Trade-offs
- System Design Considerations (Energy, Efficiency, Torque, Thermal)
- Software Lab: MATLAB/Simulink – EV Powertrain Simulation
- Vehicle-Level Integration (Performance, Drivability, NVH)
- Chassis & Powertrain Interaction (Braking, Steering, Ride Handling)
- HV/LV Electrical Systems – Safety & Charging Architecture
- In-Vehicle Displays & Information Systems (User Experience & Efficiency Aids)
- Software Lab: CAN Communication & Embedded Control for EVs
- Testing & Validation Processes (Component, System, Fleet Testing)
- Regulatory Standards: SAE, UL, IEC, FMVSS
- Safety Testing & Certification (Short Circuit, Overcharge, Fire Exposure)
- Hands-on Demo: Battery Testing & EV Component Testing
- Maxwell’s Equations & Magnetic Circuits
- Motor Types: PM Motors, Induction Motors, Switched Reluctance Motors
- Torque Production, Non-linear Magnetic Behavior, Losses & Efficiency
- Hands-on Lab: Motor Control using MATLAB/Simulink
- Lithium-Ion Battery Chemistry, Design & Safety Considerations
- Battery Pack Design (Thermal, Electrical, Structural Considerations)
- Battery Management Systems (BMS) – Functions, Control, & Estimation
- Simulation Lab: Battery Pack Simulation using Simulink & Ansys
- Power Converters: Buck, Boost, Inverter Design & Efficiency
- Semiconductor Devices: IGBTs, MOSFETs, SiC/GaN Trends
- Charging Infrastructure & Standards: SAE J1772, Inductive & DC Fast Charging
- Lab: Converter & Inverter Control Design in MATLAB/Python
- Embedded Controllers & Communication (CAN, LIN, FlexRay)
- AI in EVs: Predictive Maintenance, Battery Health Monitoring
- Real-time BMS & Motor Control using AI/ML Models
- Hands-on: Implementing AI-Based Battery Management using Python
- Battery & Power Electronics Thermal Considerations
- Active vs. Passive Cooling – Air, Liquid, PCM, Heat Pipes
- Case Study: Tesla vs. Lucid vs. Rivian – Thermal Strategies
- Simulation Lab: Battery Thermal Management in ANSYS
- Manufacturing Processes: Cell-to-Pack & Cell-to-Chassis Innovations
- Sustainability & Second-Life Batteries (Reuse, Recycling, Disposal)
- Industry Panel: Experts on EV Manufacturing & Circular Economy
- Energy Management Strategies for Extended Range
- Vehicle-to-Grid (V2G) & Bi-directional Charging
- Hands-on: Developing Smart Charging Algorithms in Python
Capstone Project – Real-World EV Design or Simulation
Resume Building & Career Guidance
Final Presentations & Certification
Testimonials
Mona Al Qassim, Powertrain Integration Engineer
"The training was a game-changer for me. With the practical application of tools such as Ansys and Autodesk Fusion 360, I was able to understand complex EV architectures ;
Khaled Al Mansoori, EV Systems Engineer
“The EV Engineering and System Integration Certification provided me with invaluable knowledge and hands-on experience in electric ; Updated on 29 May, 2025
Eligibility / Requirements
There are no specific prerequisites required to enrol in the training program.
Job roles this course is suitable for:
Electrical Engineer , Principal designer , Software Developer , Electronic Engineer , Charging infrastructure engineerAbout Learners Point Training Institute
Empowering Professionals for a Dynamic Future in the UAE
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Therefore, we offer a variety of delivery methods:
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