Electric Vehicle Battery Management System - Course

Battery management system | battery design & modelling | Electric vehicle | Lithium ion battery management | Simulation
3.76 (539 reviews)
Udemy
platform
English
language
Engineering
category
Electric Vehicle Battery Management System - Course
2 286
students
9 hours
content
Jun 2022
last update
$22.99
regular price

Why take this course?

🚀 Electric Vehicle Battery Management System - Course Description 📚

Course Headline: Dive into the World of Battery Management Systems and Electric Vehicle Battery Modelling!

About This Course: This comprehensive course is tailored for professionals and enthusiasts looking to master the intricacies of battery management systems (BMS) and lithium-ion battery modelling within electric vehicles (EVs). Designed to provide a deep understanding of both theoretical and practical aspects, this course will take you through the journey of battery design, mathematical modeling, and simulation using MATLAB.

🔋 What You Will Learn:

Fundamentals of Batteries:

  • Energy Storage Solutions: Explore different energy storage options and their applications in EVs.
  • History of Battery Technology: Trace the evolution of battery technology to understand where we are today.
  • Future Scope: Gain insights into future advancements in battery technology.
  • General Architecture: Get an overview of how batteries fit into the larger electric vehicle ecosystem.

Commercial Battery Market:

  • Battery Terminologies: Learn the lingo used in the commercial battery industry.
  • Stress Factors & Factor Tuning: Understand the factors that affect battery performance and how to mitigate them.
  • Cell Types & Chemistries: Delve into the different types of cells and their chemistries.
  • Cell Selection: Master the techniques for selecting the right cell for your application.

Introduction to Battery Pack Design:

  • Electrical Design: Learn the principles of designing a battery pack from an electrical standpoint.
  • Mechanical Design: Understand the mechanical considerations for safe and efficient battery pack design.
  • Thermal Design: Grasp the importance of thermal management in EVs.
  • Electronics Design: Get familiar with the electronics that interface with the battery pack.
  • Battery Sizing: Learn how to calculate the required capacity for your specific application.

Introduction to BMS:

  • Basics of BMS: Get an introductory understanding of how a battery management system operates.
  • Architecture: Dive into the different architectures of BMS and their functions.
  • Fundamentals: Explore the fundamental concepts that underpin BMS functionality.

Control Theory:

  • Basics of Control Mechanism: Learn the control theories essential for managing battery systems effectively.

Algorithm Development:

  • SoC & SoH: Develop algorithms to measure State of Charge (SoC) and State of Health (SoH).
    • Columb Counting: Understand the method of estimating battery capacity using Columb counting.
    • Simulink: Apply Simulink for modeling and simulating battery systems.
  • Advanced SoC & SoH: Explore more advanced algorithms for precise SoC and SoH estimation.
    • Kalman Filter: Learn how to use Kalman filters to improve the accuracy of your estimates.
    • Simulink: Utilize Simulink to simulate and validate your advanced algorithms.

Introduction to Machine Learning:

  • ML Algorithms: Understand various machine learning algorithms used in battery health estimation.
  • SoC & SoH Modelling: Apply neural networks for modelling SoC and SoH prediction.
  • Simulink: Integrate Simulink with machine learning models for real-world applications.

By the end of this course, you'll have a solid understanding of battery management systems in electric vehicles and how to design and model batteries using MATLAB, as well as leveraging machine learning for advanced battery health estimation.

Why Take This Course? ✅ Gain a thorough understanding of battery technology and its applications in EVs. ✅ Learn from industry-relevant case studies and real-world examples. ✅ Develop practical skills in MATLAB and Simulink for battery modelling and algorithm development. ✅ Explore the intersection of machine learning and battery health estimation. ✅ Prepare for a career in electric vehicle technology, battery design, or systems engineering.

🎓 Embark on this educational journey today and become an expert in Electric Vehicle Battery Management Systems and Modelling! 🚗⚡

Course Gallery

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Related Topics

4570610
udemy ID
26/02/2022
course created date
23/05/2022
course indexed date
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