Battery Systems Engineering & Simulation in MATLAB/Simulink

Master battery chemistry, pack construction, state-of-charge methods, and electrochemical modelling from fundamentals to Simulink simulation.

4.7(1,400+ reviews)

1,900members

Basic electrical engineering and circuit theory knowledge required

Self-paced

Certificate

Course Overview

Key Learning Outcomes:

Understand core battery terminologies and working principles at a professional engineering level.
Compare six battery chemistries — PbA, Lead Acid, NiMH, Li-based, NiCd, and others — across performance, cost, and application contexts.
Apply knowledge of pack construction, assembly, disassembly, and string balancing to real battery engineering problems.
Determine state of charge using established measurement methods and battery modelling approaches.
Build and simulate OCV, first-order, and Randles second-order battery models in MATLAB and Simulink.

Who This Course Is For:

Electrical and mechanical engineers targeting battery systems, EV, or energy storage roles at companies like Tata Motors EV, Ola Electric, KPIT, and Bosch India.
Engineers who use MATLAB and Simulink in adjacent domains and want to extend that into battery system simulation.
Students who have completed an Introduction to EV course and want deep technical knowledge of battery systems specifically.
Anyone who has studied batteries piecemeal and needs one structured program that goes from chemistry through to simulation.
Researchers and professionals working on stationary energy storage, UPS, or grid-scale battery applications.

Course Syllabus

Introduction to Battery and its Management System

14 min

Basic Battery Terminologies

35 min

Basic Battery Working Principles

31 min

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Frequently Asked Questions

Find answers to common questions about the course, enrollment, and certification.

No. Module 5 begins with Simulink Basics and Matlab Basics before the modelling sessions. If you have used MATLAB before in any engineering context you will move through those lessons quickly. If you have not, the course builds the foundation before applying it.

Yes. The chemistries covered — Lead Acid, NiMH, NiCd, and Li-based — are used across stationary storage, UPS, telecom backup, and grid-scale systems. The modelling techniques are application-agnostic and used wherever accurate battery state estimation matters.

They are complementary. Introduction to EV gives you the system-level picture; this course goes deep on battery systems specifically. A logical sequence is EV first, then this course. If you are from an electrical engineering background with no EV context, the Introduction to EV course's battery module is worth reviewing before starting Module 4 here.

A Zikshaa completion certificate and lifetime access to all 21 lessons. You will also have worked through five battery modelling approaches — OCV, first-order RC, Randles, EIS-based parameter estimation, and second-order Randles — which are directly applicable in battery R&D and BMS development roles.