Course level:Expert

Advanced Certification Course in EV Design & Simulation using MATLAB

“The Advanced Certification Course in EV Design & Simulations using MATLAB” is designed to provide an in-depth understanding of electric vehicle (EV) system architecture, focusing on the design and modeling of key components such as converters, inverters, motor controllers, and battery management systems (BMS). This course leverages advanced simulation tools like MATLAB, Simulink, Simscape, QSS, and ADVISOR Toolboxes to enable participants to model, analyze, and optimize EV systems. With hands-on projects and practical applications, participants will gain valuable skills for a career in EV design and development.

At a glance

  • 7 Modules.
  • 40 Lectures.
  • 13.591 hours of Video Content.
  • 7 Quizzes with Solutions.
  • 1 Project Assignment.
  • Certification of Completion.
7,000.00

Course Curriculum

Welcome to the Course!

  • Sign up at ev.care to access free learning materials & QnA support

Module 1A: Road Load Understanding
Participants will learn the fundamentals of road load analysis, which is critical for understanding how external forces such as aerodynamic drag and rolling resistance affect vehicle performance. The module covers road load calculations, the basics of drive cycles, and introduces MATLAB and Simulink for road load simulation.

Module 1B: Road Load Analysis
Building on the previous module, this section goes deeper into road load calculations and analysis. Topics include the preparation of drive cycle road loads, aerodynamic drag force calculations, power and torque requirements for EVs, and the conclusion of all road loads for real-world performance analysis.

Module 2A: Inverter Design and Modeling
This module covers the fundamentals of inverters, which are essential for controlling electric motors in EVs. Participants will model and simulate single-phase and three-phase inverters, learning how to optimize their performance for EV applications.

Module 2B: Modeling Power Converters & Vehicle Configuration Using MATLAB-SIMULINK

Module 3: Advanced Simscape Modeling
In this module, participants will explore the Simscape Toolbox for advanced modeling. Topics include modeling vehicle road loads, AC/DC conversion, ultracapacitors, battery systems, and PWM-controlled DC motors. The module also covers fault analysis in battery packs, enabling learners to simulate real-world scenarios.

Module 4: QSS and ADVISOR Toolbox Applications
This module focuses on using the QSS Toolbox for EV design and ADVISOR Toolbox for vehicle performance analysis. Participants will model internal combustion engine (ICE) vehicles, lead-acid battery cells, and hybrid electric vehicles (HEVs) to gain a comprehensive understanding of different vehicle architectures and their performance metrics.

Module 5: BMS Modeling and Energy Analysis
In this module, participants will learn how to model and simulate a battery management system (BMS), with a focus on battery protection, thermal anomaly analysis, and energy consumption. The module also includes a demonstration on creating drive cycles from data, allowing participants to evaluate EV energy efficiency and performance in various driving conditions.

DIY Projects:

Earn a certificate

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

selected template

Hardware & Software Required

Hardware: Minimum: 8 GB RAM, Quad-Core Processor, and 50 GB of free disk space

Software: 

  • MATLAB/Simulink (with Simscape and ADVISOR Toolbox)
  • QSS Toolbox (for EV simulations) 

 

DIY Projects Included

Project: Comprehensive Electric Vehicle (EV) Design and Performance Analysis Using MATLAB

Electric Vehicle (EV) design requires a deep understanding of road load analysis, energy storage systems, power electronics, and vehicle dynamics. MATLAB, with its robust simulation capabilities, serves as a powerful platform for modeling, analyzing, and optimizing EV systems.

This project focuses on integrating theoretical knowledge with practical modeling techniques to simulate and evaluate key aspects of EV design. Through this project, participants will use MATLAB and Simscape to model road load forces, battery systems, inverters, converters, and hybrid EV configurations. The aim is to enable learners to design efficient EV systems while considering real-world constraints and performance goals.

 

Course Benefits

For Professionals: 

  • Expertise in advanced simulation and modeling for EV systems 
  • Ability to design power electronics and control systems for electric vehicles 
  • Greater credibility in the R&D and EV system development domain 
  • Opportunities to work on cutting-edge vehicle simulations and performance analysis 
  • Career growth in the fast-growing electric mobility sector 

For Freshers: 

  • Strong foundation in EV architecture modeling and simulations 
  • Hands-on experience with MATLAB/Simulink and QSS/ADVISOR toolboxes 
  • Improved job prospects in the EV industry and related fields 
  • Exposure to real-world vehicle dynamics and energy consumption analysis 
  • Competitive edge in securing entry-level roles in EV system design and development 

 

Technical expertise you will gain

  • Design and Model key EV components such as Converters, Inverters, and Motors.
  • Simulate EV systems using MATLAB/Simulink and advanced toolboxes like QSS and ADVISOR.
  • Conduct Road Load and Drive Cycle Analysis for EV Powertrain Optimization.
  • Develop BMS Models for Battery Protection, Thermal Management, and Energy Analysis. 
  • Implement Simscape Modeling for various components, including batteries, ultracapacitors, and motors.
  • Analyze Energy Consumption in Battery Systems and Optimize Power Requirements. 
  • Use advanced Inverter Designs (single-phase and three-phase) in EV Powertrain Applications. 
  • Model EV architectures with fault detection and anomaly analysis in Simscape. 
  • Perform vehicle performance analysis for electric and hybrid vehicle systems. 
  • Optimize vehicle efficiency through simulation-based design and testing.

 

Who can take this course?

This course is suitable for individuals with prior experience in electrical or mechanical engineering, especially those interested in electric vehicle systems. A basic understanding of MATLAB/Simulink is recommended.

  • Freshers
  • Professionals

Personalized Trainer Support Portal:

  • 24/7 Access to a personalized trainer support portal.
  • One-on-One Mentorship for queries and project guidance.
  • Access to diverse resources, including recorded lectures, reading materials, and practical guides.
  • Dedicated forums for content discussion, insights, and project collaboration.
  • Regular Feedback from trainers for comprehensive understanding and improvement.

At a glance

  • 7 Modules.
  • 40 Lectures.
  • 13.591 hours of Video Content.
  • 7 Quizzes with Solutions.
  • 1 Project Assignment.
  • Certification of Completion.
7,000.00

Similar Courses

Over 1.2 Million+ EV learners impacted worldwide

Learners from 170+ countries have grown in their career through our programs

Get personalized course plan that suits your career profile

Get in touch to learn more about how you can make the best of your talent

Spend less time worrying about job availability, and more time growing your knowledge. Join DIYguru Program today.

If you’re a current student, please get in touch through the DIYguru dashboard to ask about more details of this Program.

Please note, eligibility for DIYguru course is reserved to students who have done related projects and have relevant profiles matching with the pre-requisite of this course.

Our 7-day money-back guarantee starts from the moment of signup and runs through the free week. Cancellations between days 7 and 30 will get a prorated refund.

Fees for the program is charged only when the admission is approved.

Want to receive push notifications for all major on-site activities?