Electric Vehicle Battery Management System – Course
Learn about battery pack design, BMS simulation, and machine learning for battery optimization with this comprehensive course. Perfect for undergraduate engineering students and anyone interested in EV battery and BMS simulation. Gain knowledge in battery technology, design, and management systems. Start your journey today!
What you’ll learn
- Battery Pack Design.
- BMS Simulation using Matlab.
- Machine Learning for Battery optimization.
- Matlab for Electrical & Electronics Engineers.
This course has been specifically designed for battery management systems and Electric Vehicle Battery Modelling.
This course is going to cover the conceptual part, mathematical modeling, Battery Design, Battery modeling & simulation using MATLAB.
This course covers in detail the study of lithium-ion batteries. It contains various form factors of the batteries, all the lithium-ion chemistry is discussed and the assembling of the batteries is covered. You will be learning various configurations of the batteries and getting a clear understanding of the configuration design of a Battery pack design.
This course covers battery management systems from the basic level. You will learn about various features of BMS in more detail. It covers Cell balancing and State of Charge estimation. It also teaches you how to select an IC for designing a Battery management system.
The thermal management system is the most critical part of an EV battery. This course discusses various techniques used in the industry for cooling an Electric vehicle battery Pack.
Overview
1. Funtamentals of Batteries
Energy Storage solutions.
History of Battery Technology.
Future Scope.
General Architecture.
Course Introduction.
2. Commercial Battery Market
Battery Terminologies.
Stress Factors.
Factor Tuning.
Cell Types & Chemistries.
Cell selection
3. Introduction to Battery Pack Design
Electrical Design
Mechanical Design
Thermal Design
Electronics Design
Battery Sizing
4. Introduction to BMS
Basics of BMS
Architecture
Fundamentals
5. Control Theory
Basics of Control Mechanism.
6. Algorithm Development – I
SoC
SoH
Columb Counting
Simulink
7. Algorithm Development – II
Advance SoC
SoH
Kalman Filter
Simulink
8. Introduction to Machine Learning
ML Algorithms
SoC & SoH
Neural Networks Modelling
Simulink
Who this course is for:
- Undergraduate Engineering Students from any branch of engineering.
- Anyone who want to get knowledge about EV Battery & BMS Simulation.
