Battery and Battery Management System Design & Simulation

本课程专为 EV 电池和电池管理系统的观点而设计，采用实用的方法。本课程将涵盖概念部分、使用 MATLAB 进行数学建模和仿真。

本课程涵盖有关锂离子电池的详细研究。它包含电池的各种形式因素，讨论了所有锂离子化学，并涵盖了电池的组装。您将学习电池的各种配置，并清楚地了解电池组的配置设计。

本课程从基础层面介绍电池管理系统。您将更详细地了解 BMS 的各种功能。它涵盖了电池平衡、充电状态估计。它还教您如何选择用于设计电池管理系统的 IC。

热管理系统是电动汽车电池最关键的部分。本课程讨论了行业中用于冷却电动汽车电池组的各种技术。

Published 05/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 8 lectures (8h 59m) | Size: 4.33 GB

Battery Design for EV

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 an EV Battery & Battery Management System perspective with practical approach. This course is going to cover conceptual part, mathematical modeling & simulation using MATLAB.

This course covers in detail study about lithium ion batteries. It contains various form factors of the batteries, all the lithium ion chemistry are discussed and assembling of the batteries are covered. You will be learning various configurations of the batteries and get clear understanding about the configuration design of a Battery pack.

This course covers battery management system from the basic level. You will learn about various features of BMS in more detail. It covers Cell balancing, State of Charge estimation. It also teaches you how to select an IC for designing a Battery management system.

Thermal management system is the most critical part for 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 Strorage solutions.

History of Battery Technology.

Future Scope.

General Architecture.

Course Introduction.

2. Commericial 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

Python

Who this course is for

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