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Battery Management Systems using MATLAB

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Learn Battery Management Systems (BMS) using MATLAB. Master battery modeling, SOC estimation, cell balancing, thermal management, and EV battery simulations.

6 Modules
with Certifications
11:42 Hours
of Recorded Content
5.0 Ratings
by 1234 Learners
English
Language
Paid Course
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Battery Management Systems using MATLAB

Battery Management Systems (BMS) are the intelligence behind modern electric vehicles and energy storage solutions. This specialist-level course provides comprehensive hands-on training in battery modeling, pack design, cell balancing, monitoring, charging systems, state estimation, thermal management, and hardware integration using MATLAB Simulink and Simscape. Learners will build realistic battery models, implement SOC and SOH estimation algorithms, simulate thermal behavior, and design advanced battery balancing architectures aligned with current EV industry practices.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Module 1 - Battery Management System Fundamentals

Introduction to Battery Management Systems and EV Battery Architecture
Creating Battery Module Objects using MATLAB Simscape
Battery Pack Design using Simulink and Simscape
Thermal-Aware Battery Module Design and Simulation

M2

Module 2 - Battery Pack Design and Cell Balancing Techniques

Modeling Battery Packs with Cell Balancing Circuits
Passive Cell Balancing using Simulink Blocks
Battery Aging Effects and Lifecycle Simulation
Battery Pack Design for Grid Energy Storage Applications
Hybrid Battery Pack Modeling and Design

M3

Module 3 - Battery Monitoring and State Estimation

Battery Monitoring using Simscape and Simulation Blocks
Battery Charging and Discharging Cycle Analysis
State of Charge (SOC) Estimation Techniques
SOC Estimation using Kalman Filtering
Active Cell Balancing Strategies using Simulink
State of Health (SOH) Estimation using Kalman Filters

M4

Module 4 - Battery Chemistry and Thermal Management

Lithium-Ion Battery Chemistry and Pack Configurations
Nickel Metal Hydride (NiMH) Battery Modeling
Battery Protection and Thermal Management Techniques
Thermal Analysis of New and Aged Battery Systems
Battery Physical Modeling using MATLAB
Equivalent Circuit Modeling of Batteries
Battery Charging and Discharging Operating Modes
Lithium-Ion 1RC Equivalent Circuit Modeling

M5

Module 6 - BMS Hardware and Communication Systems

Battery Management IC Selection and Design Considerations
Microcontrollers for EV Battery Management Systems
Communication Protocols for EV Battery Systems

M6

Module 7 - Advanced Battery Charging and Balancing Design

Passive Cell Balancing Implementation using Simulink
Hardware Design of Battery Cell Balancing Circuits
Bidirectional Battery Charging and Discharging Systems
Passive Cell Balancing Resistor Sizing Techniques

Capstone Project

Intelligent Battery Pack Design and Management Platform

Build an end-to-end battery management solution by modeling battery packs, implementing SOC/SOH estimation algorithms, designing balancing circuits, and validating charging and thermal management systems.

Complete 12S Battery Pack Simulink Model with thermal nodes
PROJECT

Complete 12S Battery Pack Simulink Model with thermal nodes

Access hands-on simulation modules to master production level engineering challenges.

Kalman Filter-based SOC Estimation Script and Simulation
PROJECT

Kalman Filter-based SOC Estimation Script and Simulation

Access hands-on simulation modules to master production level engineering challenges.

Passive Cell Balancing Circuit Simulation for a 6-cell module
PROJECT

Passive Cell Balancing Circuit Simulation for a 6-cell module

Access hands-on simulation modules to master production level engineering challenges.

Thermal Analysis Report comparing new vs. aged battery performance
PROJECT

Thermal Analysis Report comparing new vs. aged battery performance

Access hands-on simulation modules to master production level engineering challenges.

BMS Logic Controller for over-voltage and under-voltage protection
PROJECT

BMS Logic Controller for over-voltage and under-voltage protection

Access hands-on simulation modules to master production level engineering challenges.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

MATLAB
Simulink
Simscape
Battery Modeling Toolbox
Kalman Filter Algorithms
Battery Equivalent Circuit Models
EV Battery Management Concepts
Embedded BMS Architecture
Career Impact

After this Course, You will be Able to

Observe the real-world utility outcomes you gain after program completion.

Design and simulate complete Battery Management Systems using MATLAB Simulink.
Build battery pack models incorporating thermal effects and aging characteristics.
Implement State of Charge (SOC) estimation using advanced filtering techniques.
Develop State of Health (SOH) estimation algorithms for predictive battery maintenance.
Design passive and active cell balancing architectures for lithium-ion battery packs.
Integrate BMS hardware concepts including MCUs and communication protocols like CAN.

Course Stats

₹11.4 LPA

Average Salary

₹40 LPA

Highest Salary

125%

Salary Hike

5,300+

Job Vacancies

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements
DIGITAL VERIFIABLE CREDENTIAL

Let Your Certificates Speak For You

Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.

Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.

Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.

Certificate Sample
Status
Verified

Where Our Learners Work

Our alumni are driving innovation at the world's most prestigious technology companies.

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Why Pantech?

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Industrial Expert Mentors

Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.

24/7 Interactive Support

Ask coding doubts anytime on our student community workspace and receive instant assistance.

Self-Paced Learning Engine

Access lifetime recorded modules with adaptive pacing to balance academics and professional work.

Career Guidance Support

Exclusive resume review, mock interviews, and placement assistance from industry experts.

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HAVE QUESTIONS?

Frequently Asked Questions

Find instant answers to all common questions about our technical certificate courses.

1.Who should enroll in this course?

Electrical engineers, EV engineers, battery researchers, embedded developers, and students interested in battery technologies and energy storage systems.

2.Is prior MATLAB knowledge required?

Basic familiarity with MATLAB is recommended, although battery modeling concepts are introduced progressively throughout the course.

3.Does this course cover SOC and SOH estimation?

Yes. The curriculum includes detailed implementation of SOC estimation, SOH estimation, and Kalman filter-based state estimation techniques.

4.Will I learn battery thermal management?

Yes. The course covers battery thermal modeling, protection mechanisms, and thermal analysis for both new and aged batteries.

5.Are practical battery pack simulations included?

Yes. Learners build battery modules, battery packs, balancing circuits, charging systems, and thermal-aware battery simulations using MATLAB Simulink and Simscape.

6.What career opportunities does this course support?

The course prepares learners for roles in Battery Management System engineering, electric vehicle development, battery simulation, energy storage systems, automotive R&D, and advanced battery technology research.

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