Hands-On Application Of Vehicle Performance Using MATLAB

🎉 Mastering Vehicle Performance Analysis with MATLAB 🚗🚀

Headline: Analyzing Vehicle Performance For Petrol, Hybrid And Electric Cars Using MATLAB From Zero to Hero

Course Overview:

Dive into the practical world of vehicle performance analysis with this hands-on course. Designed for learners who are eager to apply MATLAB in real-world scenarios, this course offers an immersive experience through problem-based learning, transitioning theory to practice swiftly and effectively from one case study to another.

What You Will Learn:

1. Understanding Resistance Forces: Build the mathematical model of vehicle resistance and analyze its effect on driving performance.
2. Vehicle Dynamics Analysis: Study the dynamics of vehicles and how they relate to performance characteristics.
3. Engine Characteristics: Analyze engine dynamics, generating and interpreting characteristic curves for better understanding of torque usage and overcoming resistances.
4. Power Requirements Modeling: Learn to model road resistances in MATLAB and understand the power requirements for various driving conditions.
5. Performance Characteristics Calculation: Master calculating critical vehicle performance metrics, such as maximum speed, acceleration time, maximum gradeability, and electric vehicle range.
6. Predicting Vehicle Performance: Gain expertise in predicting vehicle behavior under specific conditions.
7. Influence of Parameters on Performance: Understand how different parameters can influence the performance of a vehicle.
8. Simulation of Dynamics: Utilize dynamic characteristic graphs to simulate vehicle dynamics and determine vehicle power factors.
9. Electric Vehicle Power Analysis: Learn how various factors affect the power performance of electric vehicles.
10. Driving Range Simulations: Perform simulations for electric vehicles at constant speeds, considering battery life and range.
11. Battery and Motor Matching: Calculate and determine the correct motor size based on vehicle resistance requirements.
12. Transmission System Matching: Perform MATLAB simulations to ensure transmission system compatibility with Extended-Range Electric Vehicles (E-REVs).
13. Motor Selection: Learn how to select a suitable electric motor that aligns with your designed electric vehicle requirements.
14. Battery Parameter Matching: Understand battery parameter matching to meet the designed electric vehicle's performance criteria.
15. Fuel Cell Vehicle Analysis: Perform driving system matching simulations for Fuel Cell Electric Vehicles (FCEVs).
16. Mathematical Modeling of Fuel Cells: Establish a mathematical model and match fuel cell parameters using MATLAB.
17. NEDC Driving Cycle Analysis: Learn about the electric vehicle cycle state, conduct driving range simulations based on NEDC, and understand factors affecting driving range.
18. Conditional Method Simulations: Simulate electric vehicle transmission under the NEDC working condition to meet the required criteria.
19. Matching Motor Parameters and Power Battery: Adapt the driving motor parameters and power battery based on the NEDC working condition for optimal performance.
20. Real-World Application: Apply your knowledge to match vehicle dynamics with actual NEDC driving cycle conditions.

Why Take This Course?

This course is a game-changer for automotive engineers, students, and professionals looking to specialize in vehicle performance analysis using MATLAB. With a comprehensive curriculum covering everything from the basics to advanced simulations, this course will equip you with the practical skills needed to tackle complex problems in the field of electric, hybrid, and petrol vehicles.

🚀 Join Mohamed Abdullah for an unparalleled learning journey where theory meets practice, and gain the expertise to analyze, calculate, and predict vehicle performance like never before! 🎓