Course level:Intermediate

Certification Course in MATLAB-SIMULINK, QSS & Advisor Toolbox for EV Design

The “Certification Course in MATLAB-SIMULINK, QSS & Advisor Toolbox for EV Design” course is designed to provide in-depth knowledge of MATLAB and SIMULINK for electric vehicle (EV) design. It covers the fundamentals of MATLAB, plotting techniques, mathematical tools, and extends into SIMULINK for modeling electric vehicles. Students will gain hands-on experience with advanced toolboxes like Advisor and QSS, exploring system design. By the end of the course, participants will have a robust understanding of EV system design & simulation using MATLAB-SIMULINK.

Level

Intermediate
Total Enrolled

430
Duration

12 hours 48 minutes
Enrollment validity

Enrollment validity: Lifetime
Certificate

Certificate of completion

Course Curriculum

Welcome to the Course!

Module 1: Essentials of MATLAB
In this module, students will learn the fundamentals of MATLAB, including its overview & environment, essential operators, and commonly used commands. They will also explore basic syntax to effectively write and execute MATLAB code.

Module 2: Loops & Statements
In this module, students will learn about arrays and loops in MATLAB. They will cover Array Operations, If & Nested If Statements, followed by the Switch Statement for decision-making. The module also explores Loops such as While Loops & For Loops, along with an introduction to Matrices, Arrays, and Vectors to enhance data manipulation skills.

Module 3: Plotting With MATLAB
In this module, students will explore various plotting techniques in MATLAB. First they will be made familiar with Strings & Functions. Following this, they will learn Basic Plotting techniques in MATLAB, including axis scaling, subplots, and bar graphs. Finally, students will delve into advanced visualization methods with Contour Plots & Surface Plots.

Module 4: MATLAB – SIMULINK
This module introduces SIMULINK, a graphical programming environment for modeling and simulating dynamic systems. Students will learn how to build models for electric vehicles, set parameters, and conduct simulations to analyze system performance.

Module 5: Understanding QSS Toolbox
This module delves into the QSS toolbox, a tool for quasi-static simulations. Students will learn how to install and set up the toolbox, understand its software architecture, and apply it to EV modeling using case studies.

Module 6: Understanding Advisor Toolbox
The Advisor Toolbox is a key tool for vehicle simulations. This module provides a comprehensive introduction to its structure, installation, and how to simulate vehicle performance, with a focus on its capabilities and limitations for EV applications.

Module 7: Miscellaneous

MATLAB- SIMULINK, QSS & Advisor Toolbox Final Tests:

DIY Projects:

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

Student Ratings & Reviews

3.0

Total 2 Ratings

1 Rating

0 Rating

1 Rating

Vaibhav Gautam 2 weeks ago

course content quality gets worse after simulink video series starts. instructer has no idea and in-depth knowledge. simply reciting what is written in slide word by word like we are in KG. misguided lectures on simulation of ev vehicle with no clarity. assignment expectations is very high compared to course quality. wish i could get refund.

Shreyash Sonavane 4 months ago

very informative

Hardware & Software Required

Hardware: PC with at least 8GB RAM, Dual-Core processor.

Software: MATLAB, SIMULINK, Advisor Toolbox, QSS Toolbox.

DIY Projects Included

Project 1: Comparative Modeling and Simulation of Electric Vehicles (EV) using SIMULINK, QSS, & ADVISOR Toolboxes

This project involves the modeling and simulation of an electric vehicle (EV) using three MATLAB toolboxes: SIMULINK, QSS, and ADVISOR. Students will develop their own EV models in each toolbox, exploring design features, control strategies, and simulation results. The project’s primary objective is a detailed comparative analysis of each toolbox’s modeling capabilities and performance outputs.

Course Benefits

For Professionals:

Enhance your expertise in MATLAB and SIMULINK for EV system design.
Learn advanced simulation techniques using Advisor & QSS Toolboxes.
Apply theoretical knowledge to practical EV system development.
Improve your career opportunities in the automotive & EV industries.

For Freshers:

Build a strong foundation in MATLAB & SIMULINK for Electric Vehicles.
Learn hands-on simulation techniques for real-world applications.
Develop a project portfolio showcasing EV system Design Skills.
Improve employability in the rapidly growing EV sector.

Technical expertise you will gain

Learn about MATLAB Essentials including plotting & programming techniques in MATLAB.
Design and Simulate Electric Vehicle Systems using MATLAB and SIMULINK.
Use Advisor & QSS Toolboxes for vehicle simulations.
Model & Simulate Powertrain and Motor systems.
Optimize Vehicle Performance through simulation & analysis.

Key Job Areas

Job Roles

Skill Sets

Companies Hiring

Key Job Areas

Job Roles

Skill Sets

Companies Hiring

Who can take this course?

This course is suitable for learners with basic knowledge of MATLAB, and electric vehicle concepts.

Professionals
Freshers

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.

Level

Intermediate
Total Enrolled

430
Duration

12 hours 48 minutes
Enrollment validity

Enrollment validity: Lifetime
Certificate

Certificate of completion

★ Rated 4.8/5 by 5,345+ verified learners | 50,000+ professionals trained across 170+ countries

★★★★★

4.8/5 5,345 Verified Reviews

50,000+ Alumni Trained

300+ Hiring Partners

₹8.4 LPA Average Package

170+ Countries Reached

Trust & Recognition

Government-Certified. Industry-Endorsed. Learner-Approved.

India's largest ASDC-certified EV training organisation — with multi-layer Government of India recognitions, 300+ industry hiring partners, and a 4.8-star verified learner rating.

ASDC Certified

Automotive Skills Development Council, Government of India — recognised by every major auto OEM.

Verified Credential

AICTE NEAT

National Educational Alliance for Technology — AICTE's premium learning ecosystem.

Verified Credential

Ministry of Education

Recognised by Ministry of Education, Government of India, and NITI Aayog.

Verified Credential

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Verified Reviews

What Our Alumni Say

Real feedback from verified learners who completed the programme and moved into EV careers.

Verified

★★★★★

"The hands-on workshops and live projects gave me real EV skills. I got placed at Tata Motors within 2 months of certification. The BMS module is especially strong."

Rahul Sharma Battery Engineer · Tata Motors

Verified

★★★★★

"Switched from a mechanical design role to EV powertrain after the course. The curriculum is industry-aligned and mentors are from top EV companies. Totally worth it."

Priya Krishnan Powertrain Engineer · Ola Electric

Verified

★★★★★

"Best EV training in India, hands down. The placement support through emobility.careers was what actually made the difference. Interviewed at 6 companies, got 3 offers."

Arjun Verma BMS Developer · Ather Energy

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Instructor

Certification Course in MATLAB-SIMULINK, QSS & Advisor Toolbox for EV Design

At a glance

Course Curriculum

Welcome to the Course!

Sign up at eMobility.careers to get exclusive EV job Opportunities!

Module 1: Essentials of MATLAB In this module, students will learn the fundamentals of MATLAB, including its overview & environment, essential operators, and commonly used commands. They will also explore basic syntax to effectively write and execute MATLAB code.

Topic 1: Overview & Environment

Topic 2: Basic Syntax

Topic 3: Basic Syntax, Part 2

Topic 4: Commands

Topic 5: Operators

MATLAB- SIMULINK QSS Module 1 Quiz

MATLAB – SIMULINK QSS Module 1 Quiz Solutions

Topic 1: Array Operations and If statements

Topic 2: Nested if

Topic 3: Switch Statement

Topic 4: ‘While’ Loop & ‘For’ Loop

Topic 5: Matrix and Arrays

Topic 6: Vectors

MATLAB-SIMULINK QSS Module 2 Quiz

MATLAB – SIMULINK QSS Module 2 Quiz Solutions

Topic 1: Strings

Topic 2: Functions

Topic 3a: Basic Plotting

Topic 3b: Axis scale, Subplots, Bar Graph

Topic 4: Contour plot and Surface plot

MATLAB-SIMULINK QSS Module 3 Quiz

MATLAB – SIMULINK QSS Module 3 Quiz Solutions

Module 4: MATLAB – SIMULINK This module introduces SIMULINK, a graphical programming environment for modeling and simulating dynamic systems. Students will learn how to build models for electric vehicles, set parameters, and conduct simulations to analyze system performance.

Topic 1: Introduction to Simulink

Topic 2: Building Blocks for Simulink

Topic 3: Block Parameter Settings

Topic 4: Modelling of EV with the SIMULINK and setting Parameters

Topic 5: The Conclusion

Topic 6: Simulating the TATA NEXON EV Powertrain using MATLAB

Assignment 1: MATLAB Scripting

Module 5: Understanding QSS Toolbox This module delves into the QSS toolbox, a tool for quasi-static simulations. Students will learn how to install and set up the toolbox, understand its software architecture, and apply it to EV modeling using case studies.

Topic 1: Installation of QSS Toolbox

Topic 2: Introduction to the QSS Toolbox

Topic 3: Software Description of QSS Toolbox

Topic 4: Modelling Approach with QSS

Topic 5: EV Project with QSS Toolbox

Topic 6: The Conclusion

Module 6: Understanding Advisor Toolbox The Advisor Toolbox is a key tool for vehicle simulations. This module provides a comprehensive introduction to its structure, installation, and how to simulate vehicle performance, with a focus on its capabilities and limitations for EV applications.

Topic 1: Installation of the Advisor Toolbox.

Topic 2: Introduction to the Advisor Toolbox

Topic 3: Structure of the Advisor Toolbox

Topic 4: Simulation Approach with Advisor Toolbox

Topic 5: Capabilities & Limitations of Advisor Toolbox

Topic 6: The Conclusion

Module 7: Miscellaneous

Topic 1: Extracting Data & Simulating Model

Topic 2: QSS Toolbox

Topic 3: Advisor Toolbox

MATLAB- SIMULINK, QSS & Advisor Toolbox Final Tests:

MATLAB-SIMULINK QSS Advisor Final Quiz 1

MATLAB- SIMULINK, QSS & Advisor Final Quiz 1 Solutions

MATLAB-SIMULINK QSS Advisor Final Quiz 2

MATLAB-SIMULINK QSS Advisor Final Quiz 2 Solutions

DIY Projects:

Project 1: Comparative Modeling & Simulation of Electric Vehicles (EV) using SIMULINK, QSS, & ADVISOR Toolboxes

Congratulations on Successfully Completing the Course!

Earn a certificate

Student Ratings & Reviews

Vaibhav Gautam 2 weeks ago

Shreyash Sonavane 4 months ago

Hardware & Software Required

Associated Skills

DIY Projects Included

Course Benefits

Technical expertise you will gain

Who can take this course?

Personalized Trainer Support Portal:

At a glance

Government-Certified. Industry-Endorsed. Learner-Approved.

ASDC Certified

AICTE NEAT

Ministry of Education

Module 1: Essentials of MATLAB
In this module, students will learn the fundamentals of MATLAB, including its overview & environment, essential operators, and commonly used commands. They will also explore basic syntax to effectively write and execute MATLAB code.

Module 4: MATLAB – SIMULINK
This module introduces SIMULINK, a graphical programming environment for modeling and simulating dynamic systems. Students will learn how to build models for electric vehicles, set parameters, and conduct simulations to analyze system performance.

Module 5: Understanding QSS Toolbox
This module delves into the QSS toolbox, a tool for quasi-static simulations. Students will learn how to install and set up the toolbox, understand its software architecture, and apply it to EV modeling using case studies.

Module 6: Understanding Advisor Toolbox
The Advisor Toolbox is a key tool for vehicle simulations. This module provides a comprehensive introduction to its structure, installation, and how to simulate vehicle performance, with a focus on its capabilities and limitations for EV applications.