
Battery design and simulation | Battery modelling | Battery pack designing | EV | BMS | Lithium ion battery management
Last updated 5/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.26 GB | Duration: 8h 45m
What you’ll learn
Battery Pack Design.
BMS Simulation using Matlab.
Machine Learning for Battery optimization.
Matlab for Electrical & Electronics Engineers.
Requirements
Basic Knowledge of Electronics.
Description
This course has been specifically designed for a Battery Management System and Electric Vehicle Battery Modelling with a practical approach. 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 BatteriesEnergy Strorage solutions.History of Battery Technology.Future Scope.General Architecture.Course Introduction.
- 2. Commericial Battery MarketBattery Terminologies.Stress Factors.Factor Tuning.Cell Types & Chemistries.Cell selection
- 3. Introduction to Battery Pack DesignElectrical DesignMechanical DesignThermal DesignElectronics DesignBattery Sizing
- 4. Introduction to BMSBasics of BMSArchitectureFundamentals
- 5. Control TheoryBasics of Control Mechanism.
- 6. Algorithm Development – ISoCSoHColumb CountingSimulink
- 7. Algorithm Development – IIAdvance SoCSoHKalman FilterSimulink
- 8. Introduction to Machine LearningML AlgorithmsSoC & SoHNeural Networks ModellingSimulink
Course Structure
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.

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