Domain Track-Electric Vehicle Design
Teacher
Dr. Sudhansu Kumar Samal
Category
Domain Courses
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Track Total Credits ( T-P-P) (8-8-6)
Courses Division( list all divisions):
Domain Track Objectives:
- Selection of E – motors for Electric Vehicles- BLDC/PMSM/INDUCTION/Syn MOTORS
- Motor Control Technology for Electric Vehicle applications
- To be familiar with the numerical elements and their implementation in many emerging
Computational methods such as automobiles, aerospace, manufacturing, etc - Lithium Batteries and Battery Pack Design for Electric & Hybrid Vehicle Application
- Lithium Ion Battery Management Systems.
- Safety, Testing, Regulations, and Standards of Electric and Hybrid Vehicles.
- Powertrain Sizing Calculation Procedure and Practice Problems
- Case Study on different electric vehicles.
Domain Track Learning Outcomes:
| COs | Course outcomes | Mapping COs with POs (High-3, Medium-2, Low-1) |
| CO1 | Able to gain Knowledge on the working of an EV powertrain | PO1(3) |
| CO2 | Able to identify and resolve the issues in EV and Gaining the confidence to build and design their own motors and powertrain components from scratch | PO3(3) |
| CO3 | Gain a basic understanding of how EV power electronic systems work by building a Motor controller | PO4(3),PO6 (2) |
| CO4 | Use of software/design tools to design the EV | PO8(2) |
Domain Syllabus:
Course - 1
Electric Vehicle Technology
This is an essential level course that will help you understand vehicle dynamics, drivetrain systems, battery management systems, and auxiliary systems. Topics covered include:
1.1 Introduction
1.2 EV Configuration
1.3 General EV Setup
1.4 Main Parts of EV
1.5 Types of EV
1.6 Introduction to EV Motors
1.7 Introduction to EV controller
1.8 Introduction to Energy Systems and Batteries
1.9 Battery Design and Manufacturing
1.10 Packaging and Safety
1.11 Charge and Discharge Architecture
Course - II
Electric Vehicle Power Train Design
A comprehensive course that takes you through the design, modelling, and simulation of EV powertrain and components. Topics covered include:
2.1 Vehicle dynamics Modeling
2.2 Motor Selection
2.3 Controller Selection
2.4 Battery Selection
2.5 Power electronics Super capacitor
2.6 Motor Control methods
2.7 EV Transmission
Course - III
Electric Vehicle Battery Design
The course deals with designing, modelling, and running simulation tests of EV batteries and components. Topics covered include:
3.1 Electric Vehicles Battery Technology
3.2 Battery types
3.3 Battery performance/materials/cell modelling
3.4 Battery Pack Topology
3.5 Cell Balancing
3.6 Thermal Runaway
3.7 BMS Design Considerations
3.8 BMS Architecture
Practice: MATLAB models of cell and pack
Course - IV
Autonomous EV
4.1 Introduction to Autonomous Vehicles
4.2 Introduction to Computer Vision
4.3 Applications of Computer Vision
4.4 Course Content - Introduction
4.5 Understanding Images
4.6 Overview of Automotive Systems Engineering
4.7 Program Management – Systems Engineering
4.7 Classical Controls Theory Overview
4.8 Stability Pole Zeros
4.9 Transient Performance
4.10 Disturbance and Tracking
4.11 PID Systems
4.12 Gain Selection and Tuning
4.13 Examples Comparing P, PI, PD, PID
Practice: Autonomous Vehicle Controls using MATLAB and Simulink
Course - V
AUTOSAR and VCU/ECU for EV
5.1 AUTOSAR Layered Architecture
5.2 Need Of AUTOSAR
5.3 Types Of AUTOSAR
5.4 AUTOSAR project process methodology
5.5 AUTOSAR Basic Software (BSW) Tutorial
5.6 Virtual Function Bus
5.7 AUTOSAR Run Time Environment (RTE)
Course - VI
Project
Our Main Teachers
In the field of Power system modeling, Power electronics converter design with Micro-Grid operations. Deals with the Dassault 3DS Catia System Behaviour Modelling Tools. Also, deals with Wide Area Power System monitoring design and Simulations.