18EE743 PLC and SCADA syllabus for EE

IoT-Based Battery Management System for Hybrid Electric Vehicle:

IoT Based Battery Management System (BMS) for Hybrid Electric Vehicles (HEV) : Introduction, Battery configuration, Types of batteries for HEV and Electric Vehicles (EV), Functional Blocks of Battery Management Systems, IoT based BMS.

Brushless Direct Current Motor Drive Using Artificial Intelligence for Optimum Operation of the Electric Vehicle:

Basics of Artificial Intelligence, Advantages of Artificial Intelligence in EV, Brushless DC Motor, Mathematical Representation Brushless DC Motor, Closed-Loop Model of BLDC Motor Drive, PID Controller, Fuzzy Control, Auto-Tuning Type Fuzzy PID Controller, Genetic Algorithm, Artificial Neural Network-Based Controller, BLDC Motor Speed Controller with ANN Based PID Controller, Analysis of Different Speed Controllers.

Optimization Techniques Used in Active Magnetic Bearing System for Electric Vehicles :

Basic Components of an Active Magnetic Bearing (AMB), Active Magnetic Bearing in Electric Vehicles System, Control Strategies for AMB in EVs.

Small-Signal Modeling Analysis of Three-Phase Power Converters for EV Applications :

Introduction, Overall System Modeling, Mathematical Modeling and Analysis of Small Signal Modeling.

Energy Management of Hybrid Energy Storage System (HESS) in PHEV With Various Driving Mode:

Introduction, Problem Description, and Formulation, Modeling of HESS and its Analysis.

Course Outcomes:

At the end of the course the student will be able to:

• Discuss IoT Based Battery Management System and type of batteries for EV and HEV.
• Explain AI Based BLDC drive for optimum operation of EV.
• Explain Active Magnetic Bearing system for EVs.
• Model and analyse three phase converters for EV applications.
• Model and analyse Energy Management of HESS in PHEV.

Question paper pattern:

• The question paper will have ten full questions carrying equal marks.
• Each full question will be for 20 marks.
• There will be two full questions (with a maximum of four sub- questions) from each module.
• Each full question will have sub- question covering all the topics under a module.
• The students will have to answer five full questions, selecting one full question from each module.

Textbook

1 Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles Chitra A, P. Sanjeevikumar, and S. Himavathi Wiley 2020