Electric Vehicle Battery Management System Course

Battery management system | battery design & modelling | Electric vehicle | Lithium ion battery management | Simulation
Electric Vehicle Battery Management System Course
File Size :
4.26 GB
Total length :
8h 45m

Instructor

I Prime Skill

Language

Last update

Last updated 5/2022

Ratings

4.3/5

Electric Vehicle Battery Management System Course

What you’ll learn

Battery Pack Design.
BMS Simulation using Matlab.
Machine Learning for Battery optimization.
Matlab for Electrical & Electronics Engineers.

Electric Vehicle Battery Management System Course

Requirements

Basic Knowledge of Electronics.

Description

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.Overview1. Funtamentals of BatteriesEnergy Storage solutions.History of Battery Technology.Future Scope.General Architecture.Course Introduction.2. Commercial Battery MarketBattery Terminologies.Stress Factors.Factor Tuning.Cell Types & Chemistries.Cell selection3. Introduction to Battery Pack DesignElectrical DesignMechanical DesignThermal DesignElectronics DesignBattery Sizing4. Introduction to BMSBasics of BMSArchitectureFundamentals5. Control TheoryBasics of Control Mechanism.6. Algorithm Development – ISoCSoHColumb CountingSimulink7. Algorithm Development – IIAdvance SoCSoHKalman FilterSimulink8. Introduction to Machine LearningML AlgorithmsSoC & SoHNeural Networks ModellingSimulink

Overview

Section 1: Module 1

Lecture 1 Importance of Battery

Lecture 2 Why lithium battery not others?

Lecture 3 How does lithium Battery works?

Lecture 4 Battery Terminology

Lecture 5 Cycle Ageing in Battery

Lecture 6 Calendar Ageing in Batteries.

Lecture 7 Types of Chemistries vs Battery Design Methodologies

Lecture 8 Battery Form Factors

Lecture 9 Cell Construction

Lecture 10 Types of Cell Comparison

Lecture 11 Cell to Cell Electrical Connection

Lecture 12 Cell Types and Welding

Lecture 13 Cylindrical Module-How to Make Battery Pack using Cylindrical Module and Working

Lecture 14 Pouch Module

Lecture 15 Prismatic Module

Lecture 16 Cell to Pack Integration

Lecture 17 Cooling Mechanism for EV Batteries

Section 2: Module 2

Lecture 18 OCV vs Soc for Chemistries

Lecture 19 Battery Cell Specification Sheet

Lecture 20 Battery Sizing Basics Steps

Lecture 21 Excel for Battery Sizing

Lecture 22 Assignment of Battery Sizing

Lecture 23 SOA of Lithium Ion Battery

Lecture 24 Battery Standards

Section 3: Module 3

Lecture 25 Why we need BMS?

Lecture 26 Functions of BMS

Lecture 27 Detail Functions of BMS

Lecture 28 BMS Algorithms

Lecture 29 Initial Soc Estimation

Lecture 30 Cycle Counting SOH

Lecture 31 SOH Algorithm

Lecture 32 Cell Balancing

Lecture 33 Cell Balancing Methods

Lecture 34 Cell Balancing Advance Methods

Lecture 35 BMS Architecture

Lecture 36 BMS Control Systems and Workings

Lecture 37 Development Trends in BMS

Section 4: Module 4

Lecture 38 Initial Soc and Soh Estimation

Lecture 39 BMS Design using MATLAB

Lecture 40 Equivalent Circuit Cell Models

Lecture 41 Diffusion Voltage

Lecture 42 Diffusion Voltage 1

Section 5: 5. Module 5

Lecture 43 Ballparking Parameters

Lecture 44 OCV Testing

Section 6: Module 6

Lecture 45 Introduction to Machine Learning for Battery and BMS Design

Lecture 46 Demo Model using Simulink

Lecture 47 Career Scopes in Battery Engineering

Undergraduate Engineering Students from any branch of engineering.,Anyone who want to get knowledge about EV Battery & BMS Simulation.

Course Information:

Udemy | English | 8h 45m | 4.26 GB
Created by: I Prime Skill

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