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.
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LevelExpert
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Duration13 hours 35 minutes
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Enrollment validityEnrollment validity: Lifetime
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CertificateCertificate of completion
Course Curriculum
Welcome to the Course!
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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.
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Topic 1: Introduction to Road Load Analysis
09:42 -
Topic 2: Road Load Calculations
14:08 -
Topic 3: Road Load Calculations in Excel
08:53 -
Topic 4: Introduction to Drive Cycle
04:14 -
Topic 5: Introduction to MATLAB Road Loads Calculations
12:36 -
Topic 6: Introduction to Simulink Road Loads Calculations
10:02 -
Module 1A Quiz – Please tick only One Option as the Correct Answer.
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Module 1A Quiz Solutions
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.
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Topic 1: Preparation of Drive Cycle Road Loads Calculations
10:38 -
Topic 2: Aerodynamic Drag Force Road Loads Calculations
10:21 -
Topic 3: All Road Loads Force and Power Requirements
15:01 -
Topic 4: Torque Requirement and Conclusion
23:45 -
Module 1B Quiz: Please tick only One Option as the Correct Answer.
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Module 1B Quiz Solutions
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.
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Topic 1: Introduction to Inverters
16:04 -
Topic 2: Single Phase Inverter – Half Bridge & Full Bridge DC AC Inverter
28:04 -
Topic 3: Three Phase Inverter
27:47 -
Topic 4: Inverter Simulation and Modeling
27:04 -
Module 2A Quiz: Please tick only One Option as the Correct Answer.
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Module 2A Quiz Solutions
Module 2B: Modeling Power Converters & Vehicle Configuration Using MATLAB-SIMULINK
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Topic 1: Modeling Multi Level Inverter using MATLAB-SIMULINK
22:42 -
Topic 2: Modeling Buck Converter using MATLAB-SIMULINK
11:56 -
Topic 3: Modeling Boost Converter using MATLAB-SIMULINK
09:32 -
Topic 4: Modeling Buck Boost Converter using MATLAB-SIMULINK
09:49 -
Topic 5: Modeling Vehicle Configuration using MATLAB-SIMULINK
20:07
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.
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Topic 1: Introduction to Simscape
09:12 -
Topic 2: Modeling Vehicle Road Loads using Simscape Toolbox
30:30 -
Topic 3: Modeling Battery using Simscape Toolbox
44:20 -
Topic 4: Modeling Ultracapacitor using Simscape Toolbox
12:15 -
Topic 5: Modeling AC/DC Full Wave/Half Wave Rectifier using Simscape
24:11 -
Topic 6: Modeling DC Motor & Its Controller Unit Using Simscape
29:31 -
Topic 7: Modeling PWM Controlled DC Motor
14:46 -
Topic 8: Modeling Battery Pack with Fault Using Simscape
24:12 -
Topic 9: Modeling Lead Acid Battery Cell Using Simscape
13:08 -
Topic 10: Physical Modeling of ICE Vehicle Using Simscape
06:52 -
Module 3 Quiz: Please tick only One Option as Correct Answer.
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Module 3 Quiz Solution
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.
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Topic 1: Introduction to QSS Toolbox & EV Modeling with QSS
26:37 -
Topic 2: Modeling Hybrid Electric Vehicle (HEV) with QSS Toolbox
28:27 -
Topic 3: Introduction to Advisor Toolbox and Vehicle Performance Analysis using ADVISOR Toolbox
18:19 -
Topic 4: Vehicle Performance Analysis using ADVISOR Toolbox Contd.
39:53 -
Module 4 Quiz-1: Please tick Only One Option as Correct Answer.
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Module 4 Quiz-1 Solutions
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Module 4 Quiz-2: Please tick Only One Option as Correct Answer
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Module 4 Quiz-2 Solutions
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.
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Topic 1: Batteries
19:30 -
Topic 2: Energy Consumption in Electric Vehicles
22:24 -
Topic 3: Demonstration of How to Make a Drive Cycle from Data
18:43 -
Topic 4: Battery Managment System in detail
48:53 -
Topic 5: Modeling Battery in Simulink for Thermal Anomaly Behavior Analysis
35:07 -
Topic 6: BMS for Battery Pack Electrical Management & Protection – Current and Voltage
22:05 -
Topic 7: BMS for Battery Pack Capacity Management – Cell Balancing
34:19 -
Module Quiz 5: Please tick Only One Option as Correct Answer.
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Module 5 Quiz Solutions
DIY Projects:
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Project 1: Comprehensive Electric Vehicle (EV) Design and Performance Analysis Using MATLAB
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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)
Associated Skills
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.
- Electric Vehicle (EV) Architecture and System Design
- Power Electronics Design for EVs (Converters, Inverters)
- Road Load and Drive Cycle Analysis
- Battery Management System (BMS) Design and Simulation
- EV Powertrain Modeling and Simulations
- Vehicle Performance Analysis and Optimization
- EV Charger Design and Integration (Solar and Grid)
- Motor Controller Design and Simulations
- Vehicle Dynamics and Load Calculation
- Simscape Modeling for Electric Vehicles
- EV System Design Engineer
- Power Electronics Engineer (Converters & Inverters)
- Road Load Analyst
- Battery Management System Engineer
- MATLAB/Simulink Engineer (Vehicle Simulations)
- R&D Engineer for EV Architecture
- Motor Controller Design Engineer
- Vehicle Dynamics and Performance Engineer
- Simulation and Modeling Engineer (EV)
- EV Powertrain Analyst
- Proficiency in MATLAB/Simulink for EV Simulations and Modeling.
- Expertise in Buck/Boost Converters and Inverter Design.
- Knowledge of Road Load Analysis and Drive Cycle Creation.
- Familiarity with QSS & ADVISOR Toolbox for Vehicle Modeling.
- Understanding of BMS Protection and Thermal Anomaly Analysis.
- Experience in Simscape for Vehicle Road Load and Powertrain Modeling.
- Ability to model Battery Systems and Ultracapacitors in EV Architecture.
- Proficiency in Inverter Modeling (single-phase and three-phase).
- Knowledge of Motor Controller Design and Torque Requirement Analysis.
- Expertise in energy consumption analysis for EV Systems.
- Tata Motors (EV Division)
- Mahindra Electric
- Ather Energy
- Ashok Leyland (EV Research)
- Hero Electric
- Bosch India (Power Electronics and Simulations)
- L&T Technology Services
- Ola Electric
- Siemens India
- TVS Motor Company (EV Engineering)
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.
-
LevelExpert
-
Duration13 hours 35 minutes
-
Enrollment validityEnrollment validity: Lifetime
-
CertificateCertificate of completion
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