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M-TECH in Electric Transportation at Indian Institute of Technology Mandi
Mandi, Himachal Pradesh
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About the Specialization
What is Electric Transportation at Indian Institute of Technology Mandi Mandi?
This Electric Transportation program at IIT Mandi focuses on advanced engineering principles and technologies crucial for designing, developing, and deploying sustainable electric mobility solutions. It addresses the growing demand for skilled professionals in India''''s rapidly expanding EV sector, covering areas from battery management to vehicle dynamics and charging infrastructure.
Who Should Apply?
This program is ideal for engineering graduates with a B.E./B.Tech in electrical, mechanical, or related fields, holding a valid GATE score, who aspire to build a career in the electric vehicle industry. It also suits working professionals looking to upskill in cutting-edge EV technologies or researchers aiming to contribute to India''''s clean transportation goals.
Why Choose This Course?
Graduates of this program can expect promising career paths in leading EV manufacturers, R&D centers, and energy companies in India. Roles include EV powertrain engineer, battery systems engineer, charging infrastructure specialist, and automotive control systems developer, with competitive salary packages and significant growth opportunities in this dynamic sector.
Student Success Practices
Foundation Stage
Master Core Concepts with Practical Application- (Semester 1-2)
Actively engage in all lab sessions for subjects like Electric Transportation Lab. Focus on understanding the theoretical underpinnings of power electronics, electric drives, and battery systems, then immediately apply them through hands-on experiments and simulations.
Tools & Resources
MATLAB/Simulink, dSPACE, Lab equipment, Course-specific simulation software
Career Connection
Strong foundational skills are essential for entry-level engineering roles in EV powertrain development, control systems, and battery design, directly enhancing employability.
Form Study Groups and Peer Learning Networks- (Semester 1-2)
Collaborate with classmates on problem sets, project assignments, and exam preparation. Peer discussions help clarify complex topics, share insights, and prepare for group-based projects common in industry. Participate in department-led workshops.
Tools & Resources
Online collaboration tools (e.g., Google Meet, Teams), Shared study materials, Departmental seminars
Career Connection
Develops teamwork, communication, and problem-solving skills, highly valued in collaborative engineering environments within Indian companies.
Explore Industry Trends and Emerging Technologies- (Semester 1-2)
Beyond coursework, dedicate time to reading industry reports, attending webinars, and following news from the Indian EV sector. Understand the latest innovations in battery technology, charging infrastructure, and autonomous driving.
Tools & Resources
NITI Aayog reports on EVs, Society of Automotive Engineers (SAE) India publications, Tech news platforms (e.g., Economic Times Auto, Autocar Professional)
Career Connection
Demonstrates initiative and keeps students updated on the rapidly evolving EV landscape, making them more informed and attractive candidates for recruiters.
Intermediate Stage
Engage in Research Projects and Publications- (Semester 3)
Work closely with faculty on research projects aligned with your interests, potentially leading to publications in conferences or journals. This deepens understanding and builds research acumen, crucial for R&D roles.
Tools & Resources
Research labs, University library databases (Scopus, Web of Science), LaTeX for scientific writing
Career Connection
Enhances academic profile for higher studies (Ph.D.) or specialized R&D positions in Indian and international automotive firms.
Seek Internships and Industry Exposure- (Semester 3 (during breaks))
Actively pursue internships during semester breaks at EV manufacturing companies, battery technology firms, or R&D centers in India. Gain practical experience and build a professional network.
Tools & Resources
IIT Mandi''''s Career Development & Placement Cell, LinkedIn, Company career portals
Career Connection
Transforms theoretical knowledge into practical skills, provides real-world insights, and significantly improves placement prospects within the competitive Indian EV job market.
Participate in EV Design Competitions and Hackathons- (Semester 3)
Join or form teams to participate in national-level EV design challenges (e.g., SAEINDIA Supra, Efficycle) or hackathons focused on sustainable transportation. Apply theoretical knowledge to build prototypes and solve real-world problems.
Tools & Resources
CAD software (SolidWorks, CATIA), Simulation tools, Prototyping resources
Career Connection
Showcases practical engineering skills, innovation, and teamwork, making resumes stand out to Indian recruiters in automotive and EV product development.
Advanced Stage
Focus on M.Tech Project for Specialization- (Semester 3-4)
Dedicate significant effort to the M.Tech thesis project (ES600 & ES601), aiming for an impactful contribution in a chosen area of Electric Transportation. This project is a capstone for demonstrating specialized skills and problem-solving abilities.
Tools & Resources
Advanced simulation software, Experimental setups, Research guides, Faculty mentorship
Career Connection
A strong M.Tech project is a major selling point in job interviews, demonstrating expertise and research capability, particularly for R&D and specialized engineering roles.
Network Strategically with Industry Professionals- (Semester 4)
Attend industry conferences, workshops, and career fairs specific to the EV sector in India. Connect with professionals, alumni, and potential employers. Leverage LinkedIn for professional networking.
Tools & Resources
LinkedIn, Industry events (e.g., Auto Expo, EV India Expo), IIT Mandi Alumni Association
Career Connection
Opens doors to hidden job opportunities, mentorship, and insights into industry expectations, which is vital for successful career launch and growth in India.
Prepare for Placements and Technical Interviews- (Semester 4)
Systematically prepare for campus placements, focusing on technical skills, aptitude, and communication. Practice mock interviews, solve technical puzzles, and refine your resume and cover letters tailored to EV roles.
Tools & Resources
IIT Mandi''''s Career Development & Placement Cell resources, Online coding platforms (if applicable), Interview preparation guides and books
Career Connection
Directly impacts job offers and ensures a smooth transition from academia to professional roles in Indian EV companies, optimizing career entry and salary prospects.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in Electrical Engineering, Electrical & Electronics Engineering, Electronics & Communication Engineering, Mechanical Engineering, Automobile Engineering, Production Engineering, Industrial Engineering, Mechatronics, or equivalent; OR AMIE/Grad. IETE in a relevant area. Minimum 60% aggregate marks (or 6.0 CGPA) for General/OBC and 55% (or 5.5 CGPA) for SC/ST/PwD in qualifying degree. Valid GATE score in EE, EC, ME, or PI.
Duration: 4 semesters / 2 years
Credits: 59.5 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ES501 | Electric Drives and Controls | Core | 3 | Fundamentals of Electric Drives, Dynamics of Electric Drives, DC Motor Drives, Induction Motor Drives, Synchronous Motor Drives, Advanced Control Techniques |
| ES502 | Power Electronics for Electric Transportation | Core | 3 | Power Semiconductor Devices, DC-DC Converters, DC-AC Inverters, AC-DC Rectifiers, Soft-Switching Converters, High-Frequency Converters |
| ES503 | Energy Storage Systems for Electric Transportation | Core | 3 | Introduction to Energy Storage, Battery Technologies, Supercapacitors, Flywheels, Hybrid Energy Storage Systems, Energy Management Strategies |
| ES504 | Vehicle Dynamics and Control | Core | 3 | Longitudinal Vehicle Dynamics, Lateral Vehicle Dynamics, Vertical Vehicle Dynamics, Suspension Systems, Braking Systems, Vehicle Control Strategies |
| ES505 | Modeling and Simulation of Electric Transportation Systems | Core | 3 | System Modeling Principles, Simulation Tools (MATLAB/Simulink), Electric Vehicle Powertrain Modeling, Battery Modeling, Motor Modeling, Thermal Modeling |
| ES506 | Electric Transportation Lab | Lab | 1.5 | Power Electronic Converter Experiments, Motor Drive Control Experiments, Battery Management System Setup, EV Charger Testing, Vehicle Control Algorithm Implementation, Data Acquisition |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ES507 | Charging Infrastructure and Grid Integration of Electric Vehicles | Core | 3 | EV Charging Standards, AC and DC Charging Technologies, Smart Charging, Vehicle-to-Grid (V2G), Grid Impact of EVs, Renewable Energy Integration |
| ES508 | Batteries and Battery Management Systems | Core | 3 | Battery Chemistry and Characteristics, Battery Modeling, State of Charge (SOC) Estimation, State of Health (SOH) Estimation, Battery Thermal Management, Cell Balancing |
| Elective I | Advanced Control of Electrical Machines | Elective | 3 | Field Oriented Control, Direct Torque Control, Model Predictive Control, Sensorless Control, Permanent Magnet Synchronous Motor Control, Switched Reluctance Motor Control |
| Elective II | Thermal Management of Batteries | Elective | 3 | Heat Generation in Batteries, Thermal Modeling, Cooling Strategies, Phase Change Materials, Active and Passive Thermal Management, Heat Pipe Technology |
| ES599 | Seminar | Seminar | 1 | Technical Presentation Skills, Literature Review, Research Methodology, Scientific Communication, Topic Selection, Peer Feedback |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ES600 | M.Tech. Project Part-I | Project | 12 | Problem Identification, Literature Survey, Research Proposal Development, Methodology Design, Initial Simulation/Experimental Setup, Preliminary Results |
| Elective III | AI and Machine Learning for Electric Transportation | Elective | 3 | Introduction to ML/AI, Data-driven Battery Management, Predictive Maintenance, Smart Charging Optimization, Traffic Flow Prediction, Autonomous Driving Algorithms |
| Elective IV | Safety and Reliability of Electric Vehicles | Elective | 3 | EV Safety Standards, High Voltage Safety, Crashworthiness, Battery Safety (Thermal Runaway), Functional Safety (ISO 26262), Cybersecurity in EVs |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ES601 | M.Tech. Project Part-II | Project | 12 | Advanced Experimental Work, Data Analysis and Interpretation, Results Validation, Thesis Writing, Project Defense Preparation, Innovation and Contribution |
