M. Tech. in Automotive Electronics - Amrita Vishwa Vidyapeetham

Overview

India is becoming a premier Automobile hub of the world, with all the automobile giants having a presence in India. The quality and skills of the automotive engineers being developed needs to be sharpened in order to satisfy the stringent requirements of the Automobile industry. The M.Tech. Programme in Automotive Electronics of the Amrita School of Engineering, is focused on the design of modern electronic hardware systems for automotive applications.

In addition to the core courses (Foundation Core and Subject Core), a rich set of electives are included in the curriculum, to help the students to enhance their knowledge base in the area of automotive electronics. Additionally, most of the courses offered in the curriculum are supported by a standard learning tool (Software/ Hardware) accepted by the scientific community. This learning-by-doing philosophy adds value to the program, so that the students are well prepared to handle the challenges offered by the rapidly changing and evolving automotive industry.

Curriculum

Semester I Semester II Semester III Semester IV Electives

Semester I

Course Code	Type	Course	L–T–P	Cr
21AL601	FC	Embedded Computing and Programming	3–0–0	3
21AL602	FC	Machine Learning & Algorithm Design	3–0–0	3
21AL611	FC	Principles of Automotive Systems	3–0–0	3
21AL612	SC	Electric Vehicles and Architectures	3–0–0	3
21AL613	SC	Digital Control Systems	3–0–0	3
21AL681	SC	Embedded Systems and Machine Learning Lab	0–0-4	2
21AL682	SC	Automotive Systems Lab	0-0-4	2
21HU601	HU	Amrita Value Program		P/F
21HU602	HU	Career Competency I*		P/F
Credits				19
* Non-credit course

Semester II

Course Code	Type	Course	L–T–P	Cr
21AL614	SC	Vehicle Dynamics & Control	3-0-0	3
21AL615	SC	RTOS in Multi-core Environment	3-0-0	3
	E	Elective-1	3-0-0	3
	E	Elective-2	3-0-0	3
	E	Elective-3	3-0-0	3
21AL683	SC	Automotive Testing Lab	0 -0-4	2
21AL684	SC	Automotive Control and Vehicle Simulation Lab	0–0–4	2
21RM601	SC	Research Methodology	2-0-0	2
21HU603	SC	Career Competency – II	0-0-2	1
Credits				22

Semester III

Course Code	Type	Course	L–T–P	Cr
	E	Open Elective *	3-0-0	3
21LIV601*	SC	Open Lab / Live-in Lab	0-0-4	2
21AL798	P	Dissertation Phase – I	0-0-20	10
Credits				15

Semester IV

Semester IV
Course Code	Type	Course	L–T–P	Cr
21AL799	P	Dissertation Phase – II	0-0-28	14
Credits	14
TOTAL CREDITS				70

Electives

Course Code	Course	L–T–P	Cr
21AL701	Vehicular Communication	3–0–0	3
21AL702	Vehicular Networks	3–0–0	3
21AL703	Cryptography and Network Security	3-0-0	3
21AL711	Power Converters for Automotive Applications	2–0–3	3
21AL712	Electrical Machines for Automotive Applications	3–0–0	3
21AL713	Control of Power Converters and Electrical Machines	3–0–0	3
21AL721	Automotive Radar	3–0–0	3
21AL721	Sensing for Autonomous Vehicles	3–0–0	3
21AL722	Multi Sensor Data Fusion	3–0–0	3
21AL723	Deep Learning for automotive systems	3–0–0	3

Year-wise Curriculum & Syllabus

2019 Curriculum

2021 Curriculum

Program Overview

Program Educational Objectives (PEOs)

Ability to acquire knowledge and skills in electronics and computation in wider aspects of automotive domain so as to excel in modern industry, academia or research.
Ability to comprehend, analyze, design and create novel solutions to problems in the areas of Automotive Electronics that are viable and acceptable technically, economically and socially.
To exhibit professional competence and leadership qualities with a harmonious blend of ethics leading to an integrated personality development.

Programme Outcomes

PO1: An ability to independently carry out research/investigation and development work to solve practical problems.

PO2: An ability to write and present a substantial technical report/document.

PO3: Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program.

PO4: An ability to work in a team to take up the challenges in the field of vehicular communication, advanced driver assistance systems and vehicle electrification, giving due consideration to societal, environmental, economic and financial factors.

PO5: An ability to maintain lifelong learning and research by way of participating in professional activities with a high level of commitment.

Employment Prospects

Since the beginning of the program, all students admitted to the program have been employees sponsored by TCS who return to the parent company on completion of the course. Non TCS-sponsored candidates are well equipped to be recruited by OEMs such as Robert-Bosch, Continental and other leading automotive industries.

Research Areas

Faculty members and students have taken up research issues of contemporary relevance and have good publications in highly reputed journals.

Thrust Areas of Research

Advanced Driver Assistance
Vehicular Communication and Security
Electrification and EV’s
Embedded System for Automotive

Projects

Selected Projects

Raseelul Mahboob P. (2018-20), An Intelligent EV charging infrastructure for a smart campus utilizing renewable energy resources.
Pratyay Maity (2018-20), Fuzzy enabled direct torque control for low torque ripple in induction motors for EV applications.
Keerthe eswaran M. P. (2018-20), Ground plane segmentation and vehicle identification using automotive LIDAR&deep learning.
Pradeep kumar V. (2018-20), Design of criticality-aware scheduling for automotive ECUs.
Amara Dinesh Kumar (2017-19), Stereo-camera and LIDARsensor fusion based collision-warning system.
Avishek Chatterjee (2017-19), Design of control system for autonomous harvesterbased on navigation inputs.
Mrinalini Patil (2017-19), Driver emotion recognition for enhancement of Human-Machine Interface in vehicles.
Anuja Vats (2016-18), An improved driver assistance system for lane detection and departure warning.
Deexa Vashishtha (2016-18), Cooperative path prediction using maximum-likelihood multiple model filtering.
Pravin Kokane (2016-18), Suspension faults detection using vibration measurements and machine learning.
Manjunath P. K. (2015-17), Time-domain analysis of crankshaft acyclism formisfire detection in multi-cylinder IC engines.
Priyanjali Yadav (2015-17), Adaptive key generation for secure vehicular communication by exploiting channel randomness.
Renjith R. (2015-17), Power quality enhancement in Plug-In Hybrid ElectricVehicle (PHEV) systems.
Rahul Joshi (2015-17), Matrix Converter based Bidirectional AC-DC converter for Vehicle-to-Grid(V2G) system.

Facilities at a glance

Electronics Lab
Software Tools
Hardware Tools
MATLAB 2020a
CARSIM
CANoe
dSPACE Control Desk
Arduino Uno
Arduino Mega
Lidar Lyte
RPLIDAR 360°
Induction Motor
9 DOF – Razor IMU

Amrita Vishwa Vidyapeetham University Collage Campus Tour/Walk Through – Ettimadai, Coimbatore

Amrita Vishwa Vidyapeetham University Campus Walk Through @ Ettimadai, Coimbatore

Testimonial

Mr. Hriday Ranjan

M. Tech. AEL

I joined this course without any experience in the automotive domain. This program helped me in understanding the automotive domain, starting from communication protocol to powertrain, EV architecture, RTOS processor design etc. It has helped me in understanding the customer requirement and helping them with an optimized solution.”