Fuel Cell & Ultra-capacitors for EV using MATLAB & SIMULINK
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Introduction to the fuel cell, fuel cell stack system, current development in the market.
Internal structure of PEM fuel cell, losses in fuel cell that affect performance.
Fuel cell operation, starvation and its control parameters
Details of these components. Modelling of these components in Matlab/Simulink
Going over the basics of programming in Matlab and Simulink that will help with the modelling assignments to follow.
Understanding different energy management strategies like Load following, rule based
Using Matlab/Simulink going over the basics of creating vehicle model
Using Matlab/Simulink going over the basics of creating
Using Matlab/Simulink creating the basic strategy for power management
A well to wheel analysis for fuel cell vehicles to be covered.
Concluding lecture with a summary of topics taught so far. Going over the project and integration of different models created before
Conducting a live webinar to help students with their questions regarding.
Project 1
Highlights
Project 2
Highlights
Creating a report for comparison of fuel consumption in different drive cycles.
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Simulink, developed by MathWorks, is a graphical programming environment for modelling, simulating and analyzing multi-domain dynamical systems.
The courses at Skill-Lync are designed to focus on the core fundamentals and their implementation in industry-oriented projects. These courses are designed by industry experts who understand the job market.
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Details of functioning of fuel cell, functioning of ultra-capacitor, use of it in vehicle, basic control strategies.
Matlab and Simulink will be used for this course. These tools are industry standard with all OEM using this.
Matlab and Simulink are used in pretty much every engineering discipline. Machine learning, aerospace, system modelling, automotive, etc use Matlab and Simulink.
All/most automotive and aerospace companies use it for design powertrain management models, energy management models, modelling systems, etc. AI and machine learning also uses Matlab-Simulink but the toolboxes used for that will not be covered in this course.
The project done in this course can be added to the CV for MS application and highlighted to show knowledge in this field. Since the course is on a specific topic it will help only help for MS course related to this course. PhD needs more expertise so just this course alone won’t be enough. However, it can help enhance the CV and knowledge base.
For people looking to get into function development, this course will provide a very good base with the project of this course. Also knowledge about the fuel cell, UC and electric powertrain can help with test engineer jobs. After getting into this entry level jobs one can progress to system design or calibration depending on their interest.
A dedicated 2 hours of time is more than enough to understand the concepts, noting the concepts down and performing the challenges.
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