Autonomous Electric Vehicles

The Electric Vehicles market is expected to grow at 40% annually in 2020-2027. There are new players entering into the market every day from e-bike makers to Level-3 autonomous electric vehicles.

Overview

Autonomous Electric Vehicles

The Electric Vehicles market is expected to grow at 40% annually in 2020-2027. There are new players entering into the market every day from e-bike makers to Level-3 autonomous electric vehicles. Realizing a completely electric ecosystem for automobiles involves work on the power train, the motors, batteries, charging stations, and the associated power electronics. This value chain is expected to reach USD 5 Billion by the year 2025.

At the same time, the market for adding intelligence and connectivity to vehicles is also expected to grow at around 50% annually. Connectivity and intelligence are crucial to achieve a fully autonomous vehicle. Work on this involves the knowledge of sensors, embedded computing systems, vehicular communication, and AI algorithms for decision making. With the burgeoning automobile market and the surge into Electric and Autonomous Vehicles, it has become imperative for engineers to be knowledgeable in these interdisciplinary areas. The proposed M. Tech. program on A-EVs is aims to achieve this.

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MTech_A-EVs curriculam

Expected Program Outcomes


Students graduating from this program are expected:

  • To be able to comprehend and understand the various components of an Electric Vehicle, individually and as a whole
  • To be able to conceptualize, design and implement an electric drive system for automobiles, along with associated electronic circuitry
  • To be able to characterize, and design Battery Management Systems (BMS) for Electric Vehicles
  • To be able to comprehend and understand the nature of intelligence in automobiles
  • To be able to synthesize intelligent mechanisms for improving vehicle operation
  • To be able to design and implement an Intelligent Transport System (ITS), with vehicular and infrastructure-based communication,
  • To be able to conceptualize and analyse a fully autonomous vehicle.

2021 Batch Highlights

  • 100% Internships for admitted students with highest steipend of 60k per month.

Fee Structure

  • Tution Fee: 1 Lakh Per Annum(Hostel Stay not Manadatory)

Eligibility:


Minimum qualification required for admission

  • Candidates should have graduated with a full-time degree from any recognized University/Institute with a minimum aggregate of 60% or equivalent grade.
  • B.E./B.Tech. in Electrical Engineering or Electrical and Electronics Engineering or Electronics and Communication Engineering or Instrumentation Engineering or Mechanical Engineering* or Automobile Engineering* or Mechatronics*. & and Valid GATE Score in Electrical Engineering or Electronics and Communication Engineering or Instrumentation Engineering or Mechanical Engineering* is Mandatory
  • Candidates appearing for their final semester exam in the current year are also eligible to apply.

Admission Process
  • Admission for GATE qualified students: Applicants with a valid GATE score & Percentile score 80 & above will undergo an interview for admission.
  • Admission for non-GATE qualified students: Candidates not having valid GATE score or have Percentile score less than 80 will have to appear in the written Test to be conducted by ECSE-MU, followed by an interview for the shortlisted candidates.
List of Recruiters
AEV client Logo AEV client Logo
Present Lab facilities
Present Lab facilitiesPresent Lab facilities
  • Power Electronics and Machines Laboratory
  • BMS and Controls Lab
  • Embedded Systems for Automobiles Lab
  • Vehicular Communication Networks Lab
Inhouse Developments in EV aspects
Inhouse Developments in EV aspects Inhouse Developments in EV aspects
Faculty

  • Jayant Lal Bhattacharya
    Jayant Lal Bhattacharya

    Professor
    Department of Electrical & Electronics Engineering

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  • Sunil Bhooshan
    Sunil Bhooshan


    Department of Electrical & Electronics Engineering

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  • Arya Kumar Bhattacharya
    Arya Kumar Bhattacharya

    Dean Research, Professor and Head CSE
    Department of Computer Science & Engineering

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  • Bhuvaneswari Gurumoorthy
    Bhuvaneswari Gurumoorthy


    Department of Electrical & Electronics Engineering

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  • Bharghava Rajaram
    Bharghava Rajaram

    Associate Professor
    Department of Electrical & Electronics Engineering

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  • Sayantan Hazra
    Sayantan Hazra

    Associate Professor
    Department of Electrical & Electronics Engineering

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  • Gopinath G R
    Gopinath G R

    Assistant Professor
    Department of Electrical & Electronics Engineering

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  • Sreedhar Madichetty
    Sreedhar Madichetty

    Associate Professor
    Department of Electrical & Electronics Engineering

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