8 month long Master's certification program in Electric Vehicle Design & Analysis
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
Phase 2
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 SessionIn 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
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.
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.
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.
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.
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
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