MS(R) in E-Mobility

Semester 1

Semester 2

EM501: E-mobility, Electric and Hybrid Vehicles (3-0-2-8)

EM597: Project phase 1             (0-0-24-24)

EM502: Modelling, Dynamics and Control of EVs (3-0-2-8)

EM503: Energy Storage & Conversion (3-0-2-8):

Elective 1                         (3-0-0-6/2-0-2-6)

Elective 2                           (3-0-0-6/2-0-2-6)

Total   Credit                                               36                                    



Semester 3

Semester 4

EM598: Project Phase 2                (0-0-24-24)

EM599: Project Phase 3                 (0-0-24-24)

· All the electives offered will be of 6 credits, i.e., (3-0-0-6/2-0-2-6)

· Since all the core courses will be taught jointly by EEE and ME faculty, it is proposed to have course code EM.

Semester 1

E-mobility, Electric and Hybrid Vehicles: EM501 (3-0-2-8)

· Basic principles and trends of smart mobility as well as international examples

· Impact of smart mobility on existing sectors

· Concept of milage in EVs

· EVs: Well to Wheel Analysis

· Drive cycle analysis.

· Vehicle power plant requirement

· Electric motors for EV and HEV applications

· Control systems used in HEVs and EVs

The associated lab with this course will cover experiments in:

· Developing real-life drive cycles for 2-wheelers, 3-wheelers, cars and buses

· Extracting features from the drive cycles for sizing motors and converters

· Open-loop and closed-loop control of PM motors

· Open-loop and closed-loop control of Induction motors

· Open and closed-loop control of Synchronous reluctance motors

· Control of motors using the drive cycles


1. Smart Mobility – Connecting Everyone: Trends, Concepts and Best Practices

Authors: Barbara Flügge

Edition: 1st, 2017

Publisher: Springer

ISBN (Softcover): 978-3-658-15621-3

2. Advanced Electric Drive Vehicles

Authors: Ali Emadi

Edition: 1st , 2017

Publisher: CRC Press

ISBN: 1138072850

Reference books:

1. Sustainable Approaches to Urban Transport

Authors: Geetam Tiwari, Dinesh Mohan

Edition: 1st, 2019

Publisher: CRC Press

ISBN (Hardcover): 978-1138544239

2. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles: Fundamentals, Theory, and Design

Authors: Mehrdad Ehsani, Yimin Gao, Ali Emadi

Edition: 2nd, 2009

Publisher: Standardsmedia

ISBM: 9781420053982

Modelling, Dynamics and control of EVs: EM502 (3-0-2-8)

The course will cover:

· Fundamentals of Vehicle Dynamics

· Design of Transmission Systems for EVs

· Modelling and Analysis of suspension systems

· Braking and steering systems for EVs

· Stability and Control of EVs

· EV and HEV architectures: Mechanical

· EV and HEV architectures: Electrical (HV, LV and CAN)

· Software & Hardware Control Strategies for EVs and HEVs

· Functional Safety –ISO 262262, Software Validation and Quality

· Vehicles Systems and Accessories

· Various Regulatory Compliances

· International and Domestic Standards.

The associated lab with this course will cover experiments in:

· Simulation of the dynamics of EVs’

· Simulation of tire forces and modelling of EVs

· Measurement of vehicle ride quality for different suspension systems with different inputs.

· HIL and SIL experiments using dSpace and similar platforms

· Wiring Harness and Architecture


1. Multibody Systems Approach to Vehicle Dynamics

Authors: Blundell, M. and Harty, D.

Edition: 2nd, 2015

Publisher: Elsevier

ISBN: 9780080994253

2. Vehicle dynamics: theory and application

Authors: Jazar Reza N.

Edition: 2nd , 2008

Publisher: Springer

ISBN: 9780387742434


1. Modeling, Dynamics and Control of Electrified Vehicles

Authors: Hui Zhang, Dongpu Cao and Haiping Du

Edition: 1st, 2017

Publisher: Woodhead Publishing

ISBN: 9780128127865

2. Vehicular Electric Power Systems: Land, Sea, Air, and Space Vehicles

Authors: Emadi A., Ehsani M. and Miller J.M.

Edition: 1st, 2003

Publisher: CRC Press

ISBN: 9780824747510

Energy storage & conversion: EM503 (3-0-2-8)

This course will cover:

· Selected energy storage devices and connect with their electric power applications in electric vehicles

· Batteries, fuel cells, supercapacitors, Hydrogen energy storage

· Module & Pack Design

· Thermal management in battery packs

· Power electronics for electric vehicle charging

· Charging infrastructure

· The hybridisation of different energy sources

· Different topologies of hybrid energy sources

· Energy management systems (EMS) including BMS

The associated lab will have experiments on:

· Simulations of Battery Cells, Modules and Packs

· Measuring charging and discharging characteristics of Lead-acid batteries at different C-rates

· Measuring charging and discharging characteristics of Li batteries at different C-rates

· Fundamentals of a fuel cell.

· Measuring discharging characteristics of fuel cells at different C-rates

· Interfacing batteries with power electronics converters and feeding R-L loads

· Experiments on induction motor drives fed by batteries


1. Battery Systems Engineering

Authors: Christopher D. Rahn Chao‐Yang Wang

Edition: 1st, 2014

Publisher: Wiley

ISBN: 9781119979500

2. Technologies and Applications for Smart Charging of Electric and Plug-in Hybrid Vehicles

Authors: Ottorino Veneri

Edition: 1st, 2017

Publisher: Springer

ISBN (Hardcover): 978-3-319-43649-4

ISBN (Softcover): 978-3-319-82877-0

Reference books

1. The Powerhouse: Inside the Invention of a Battery to Save the World

Authors: Steve Levine

Edition: 1st, 2015

Publisher: Viking

ISBN: 978-0670025848

2. Emerging Materials for Energy Conversion and Storage

Authors: Kuan Yew Cheong Giuliana Impellizzeri Mariana Amorim Fraga

Edition: 1st, 2018

Publisher: Elsevier

ISBN: 9780128137949

3. Electric Vehicle Integration into Modern Power Networks

Authors: Garcia-Valle, Rodrigo, Peças Lopes, João A.

Edition: 1st, 2013

Publisher: Springer

ISBN (Softcover): 978-1-4939-4202-2


ME 531: Mechanical Vibration

ME 542: Numerical Analysis

ME 551: Aerodynamics

ME658: Signal Processing and Model Estimation

ME628: Additive Manufacturing Technologies

ME532: Finite Element Methods in Engineering

ME543: Computational Fluid Dynamics

ME674: Soft Computing in Engineering

ME640: Robotics and Robot Applications

ME608: Computer-Aided Design-Computer Aided Manufacturing

ME629: Design of Mechatronics Products

ME609: Optimization Methods in Engineering

ME615: Rotor Dynamics

EE590: Linear Algebra and Optimization

EE 646: Optical Measurement Techniques and Applications

EE 626 : Pattern Recognition and Machine Learning

EE 660 : Modeling and Control of Power Electronic Converters

EE 657: Intelligent Sensors and Actuators