• 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.

• 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

Cost: 3000 AED

Discount: 50% Off for Laimoon Users!

Duration: 3 Months

• I. Maintenance Strategies
• II. Lubrication Theory/Fundamentals
• III. Lubricant Selection
• IV. Lubricant Application
• V. Lube Storage and Management
• VI. Lube Condition Control
• VII. Oil Sampling
• VIII. Lubricant Health Monitoring

Cost: 5670 USD

Duration: 5 Days