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8 month long Master's certification program in Electric Vehicle Design & Analysis

- Domain : EV, Instrumentation, BMS
- Pre-requisites : For Electrical, Electronics and Instrumentation Engineers

This program includes courses dealing with both EV as a system and EV as a system of systems.

Students will carry out a system-level simulation of an entire EV using MATLAB and Simulink in the first half of the Master Program. Afterward, they learn about the development of individual systems: Battery, Motor, and Power converter.

This Master's Program enhances system design, circuit design, PCB design, and motor design skills which will educate the students in most of the EV design aspects.

After completing this program, students will be eligible to apply for the post of a simulation engineer, system engineer, hardware and software engineer, and similar vacancies at both Automotive & related components supplier companies. They can also choose to go for startup jobs in the relevant fields. The students will also get opportunities in research centers at Universities or similar consultancy organizations.

These are some of the organizations recruiting students upon their completion of this Master's Program - Mahindra, Tata Motors, Ford, Bajaj, TVS, Maruti, Force, Renault, Valeo, Hella, Varroc, Motherson, Greaves cotton, Uno Minda, Ather energy, Ola electric, Yulu, Magneti Marelli, Magna, Delphi, Denso, Continental.

The entire program is split into two phases. During the first phase, you will be taking the mandatory courses. These courses are fundamental for anyone who wishes to pursue their career in the Electric Vehicle Domain.

**Phase 1**

- Simulink for Mechanical & Electrical Engineers
- Machine learning for Electrical Engineers using Python
- Introduction to Hybrid Electric Vehicle using MATLAB and Simulink
- Introduction to Control of Electric Vehicle
- Introduction to Battery Technology for Electric Vehicle
- Fuel cell and Ultra capacitor for EV using MATLAB & Simulink

**Phase 2**

- Introduction to Advanced Driver Assistance System (ADAS) using MATLAB and Simulink
- Introduction to Automotive Embedded Systems & AUTOSAR
- Analysis & Simulation of Power Converters for EV using MATLAB/Simulink and LTSpice
- Digital control of power converters with C2000 using Altair Embed
- PCB design for beginners using Altium designer
- Basics of Electromagnetics and design of BLDC motor using ANSYS

**Additional Courses**

In addition to the above courses, new electives might be offered to the student. If you have already registered for the program then there is no additional charge for the new electives.

**Job Assistance**

Job assistance is automatically enabled for students who complete a minimum of 3 courses. Completion is defined by video watch time(90%), challenge completion (80%), and maintaining a good technical profile in SKILL-LYNC

Speak to our technical specialists to understand what is included in this program and how you can benefit from it.

Request a Demo Session- Importance of mathematical modelling
- Block diagram approach & model-based design for engineering systems
- Introduction to Simulink environment
- Creating a simple model
- Obtaining results
- Introduction to various Simulink toolboxes

- How does a model run in Simulink?
- Types of solvers
- Model configuration
- Continuous & discrete-time systems
- Timestep
- Solving ODE
- Introduction to physical modelling using simscape

- Using a script file with Simulink models
- Creating a subsystem
- Variant subsystem
- Projects
- Template
- lookup tables
- Running simulation in steps

- Control logic for engineering applications
- Using a finite state machine
- Making logic diagrams

In this module, we will introduce the ideas of Statistics, machine learning and artificial intelligence.

⮚ Basics of Probability

⮚ Basics of Statistics

⮚ What is ML & AI

In this section, we start with supervised learning

⮚ Introduction to normal distribution & standard normal distribution

⮚ Introduction to business moments

⮚ Artificial Intelligence

In this section, we start with supervised learning

⮚ Introduction to supervised learning

⮚ What is linear regression

⮚ One hot encoding

⮚ Cost function and gradient descent

In this section, we start with classification algorithm

⮚ Introduction to classification problems

⮚ What is logistic regression

⮚ Cost function and gradient descent

In this module, we will introduce some more classification algorithms

⮚ Decision tree

⮚ Entropy

⮚ Information gain

In this section, we will assess the algorithms

⮚ Random Forest

⮚ Bootstrapping and majority rule

⮚ Evaluation of classifiers

In this module, we will introduce SVM

⮚ Support Vector Machines

⮚ Mathematical intuition behind SVM

⮚ How SVM is different from other classifiers

In this section, we will introduce knn

⮚ K-Nearest Neighbour

⮚ Lazy Algorithm

⮚ Single layer Neural Network

In this section, we will introduce clustering

⮚ What is clustering

⮚ Why clustering is important

⮚ Kmeans and elbow curve

In this section, we will introduce another type of clustering

⮚ Hierarchical Clustering

⮚ Dendrogram

⮚ Evaluation of clustering algorithms

In this module, we will introduce some feature selection techniques

⮚ Feature Selection

⮚ Principal Component Analysis

⮚ Mathematical intuition behind PCA

In this section, we will introduce neural network

⮚ Artificial Neural Network

⮚ Deep learning

⮚ Different activation functions

⮚ Understanding back propagation

The fundamentals of vehicle design involve the basic principles of physics. The vehicle motion can be completely determined by analysing the forces acting on it in the direction of motion.The response of the vehicle for different drive cycle patterns along with wide-open throttle calculations are discussed in this session.

- Vehicle power requirement calculations: Rolling resistance, air drag, hill climbing and acceleration forces
- Driving patterns and vehicle testing standards, important terms and definitions related to driving cycle, Energy expenditure calculation

The General EV and HEV configuration is proposed unequivocally. The generic concept of a hybrid drivetrain and possible energy flow route helps to understand the challenges of battery charging and power consumption. The advanced simulator tool (ADVISOR tool) gives an idea of a detailed profile for vehicle modeling and reasoning.

- Different configurations of power train components: Battery Electric Vehicle, Hybrid Electric Vehicle: Series, Parallel and Series-Parallel
- MATLAB Simulation: ADVISOR and Powertrain block set
- Various modelling options, Control strategies

In a motor vehicle, the powertrain or powerplant comprises the main components that generate power and deliver that power to the road. In hybrid powertrains, the torque generated by the combustion engine and the electric motor has to be brought together and distributed to the wheels. The control of this power flow is discussed along with the working of electric motors.

Electrical engineering terminologies, Fundamentals of DC and AC motors: working principle, characteristics, and control.

- Understanding power electronics, basic DC converter circuit operation, power devices, switching losses
- Power electronic control of PMDC, PMBLDC and induction motor
- Inverter operation, Sine PWM, Variable frequency control
- Review of induction motor controller, connections and features, limitations of variable frequency control, introduction to vector control

Moving vehicles have a lot of kinetic energy, and when brakes are applied to slow a vehicle, all of that kinetic energy has to go somewhere. Regenerative braking uses an electric vehicle’s motor as a generator to convert much of the kinetic energy lost when decelerating back into stored energy in the vehicle’s battery. To evaluate regenerative braking, we really need to look at two different parameters, efficiency and effectiveness.

- Braking requirements of vehicle, Methods of braking of DC & Induction motors: regenerative braking and dynamic braking
- Coordinating electrical and mechanical brakes, braking control strategies

Fundamental control components are discussed in this section. Students can learn the basics of control system Engineering from this section right from types of the control system to various components of control theories.

- Fundamentals of control engineering
- Important terms
- Feedback system
- Transfer functions
- Poles zeros
- State-space
- Laplace transform

This section dealt with the stability analysis of control systems. It is a prerequisite for any of the systems to be stable to give satisfactory behaviour. Students can learn about stability theories and how to implement the same using the MATLAB command.

- Stability
- Bode plot and MATLAB tools for control system engineering

A PID controller is considered to be very important in the industrial standpoint. This section helps to learn the significance of the PID controller and how to auto-tune the gain parameters of the PID controller in MATLAB simulation environment.

PID control actions and simulations for step response

In an Electric Vehicle, the motor plays a crucial part to propel the vehicle. The motor characteristic needs to be known to control it efficiently. This section helps to learn about the transfer function of DC motors and control of DC-DC power converter.

- DC motor transfer function
- Setpoint tracking and disturbance rejection

This section briefs the difference between analogue and digital systems. The significance of discrete control systems and the domain that is to be defined for the discrete control system. Student can get an insight on the advantage of using Discrete control system over the Analog control system

- Limitations of analog control
- Discrete control system
- Z-domain analysis

Students can learn the fundamentals of microprocessors and microcontrollers. This section gives knowledge about the architecture of Microcontroller and how it can be programmed and interfaced.

- Digital power control
- Microcontroller fundamentals
- Programming and interface

Vehicle Dynamics Control System Algorithm is significant in the Connected Cars System & using such algorithms with data interaction between sensor & actuators help the engineers to maintain the safety & security of the vehicle. .The importance of a Master Controller and how it is interfaced with other controllers is also discussed in this topic.

- Intelligent and connected vehicle system
- Master controller and its interfacing with the local controller

Sources of energy for propulsion & their comparison: Net Calorific Value, Conversion efficiency

History and background of battery technology

Electrochemistry fundamentals & terminologies

Lithium ion battery and different chemistries

Portable power applications and electrical load requirements

Factors affecting the choice of EV battery systems

Commercially available lithium ion cells

Electrical characteristics of battery: Capacity, C-rate, impedance, DOD, SOC, SOH, Life cycles, Mechanical characteristics, Form factor, Safety

Reading cell manufacturer’s specifications

Cell characterization

Tools and standard testing

Battery capacity estimation algorithms

Electrical equivalent circuit & mathematical model in MATLAB