Certification Course in Advanced BMS and Modeling & Simulation for EVs
The “Certification Course in Advanced BMS and Modeling & Simulation for EVs” course provides an in-depth understanding of Battery Management Systems (BMS) with a special focus on cell balancing, thermal management, communication protocols, and advanced software and hardware configurations. Learners will explore practical methods, real-world applications, and simulation tools used to optimize battery safety, performance, and efficiency. Designed by industry experts, the course bridges theoretical knowledge with hands-on insights. It’s ideal for engineers, researchers, and enthusiasts in electric mobility and energy systems.
At a glance
- 10 Modules.
- 35 Lectures.
- 9.447 hours of Video Content.
- 1 Project Assignment.
- Certification of Completion.
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LevelIntermediate
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Total Enrolled83
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Duration9 hours 27 minutes
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Enrollment validityEnrollment validity: Lifetime
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CertificateCertificate of completion
Course Curriculum
Welcome to the course!
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Module 1: Cell Balancing in EV Battery System: Methods, Topologies, and Techniques
This module explores the fundamentals of cell balancing, the critical role it plays in battery longevity, and both passive and active balancing techniques. Students will learn the causes of imbalance and practical methods to correct them, ensuring optimal pack performance.
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Topic 1: Introduction to Cell Balancing – Key Concepts, Topologies, and Its Importance for EV Batteries
15:08 -
Topic 2: Significance of Cell Balancing Technology in EV Battery Systems
14:21 -
Topic 3: How Battery Balancing Works – Causes of SOC Imbalance & Active vs. Passive Methods
14:54 -
Topic 4: Active Cell Balancing Techniques Part 1- Direct Transformer Based & Switch Matrix Plus Transformer Approaches
19:02 -
Topic 5: Active Cell Balancing Techniques Part 2 – Buck-Boost, Comparisons, & Closed-Loop Control Switch
19:51
Module 2: Battery Cooling Systems: Benefits, Cooling Methods, and Advanced Liquid Solutions
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Topic 1: Battery Cooling Systems Part 1- Benefits and Air & Liquid Cooling Methods
23:00 -
Topic 2: Battery Cooling Systems Part 2- PCM, Active & Passive Liquid Cooling, and Contact Methods
15:50 -
Topic 3: Battery Liquid Cooling System – A Superior Thermal Management Solution for EVs
22:13
Module 3: Comprehensive Guide to BMS Communication Protocols
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Topic 1: Understanding SOC & SOH – Key Parameters in BMS
16:56 -
Topic 2: Exploring BMS Functions & Communication Protocols in BMS – TTL Overview
19:22 -
Topic 3: Understanding RS232 Communication Protocol
08:35 -
Topic 4: Understanding RS485 and CAN Communication Protocols
17:17 -
Topic 5: Understanding CAN Bus and UART Protocol & UART Implementation Architecture in BMS
11:26 -
Topic 6: Understanding RS485 Implementation Architecture in Inverter BMS and TCP & Isolated SPI Protocols
22:04
Module 4: Wired and Wireless BMS Communication Systems – Architecture, Components, & Protocols
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Topic 1: Introduction to Wired & Wireless BMS Communication
03:50 -
Topic 2: Understanding the Basic Wired BMS Architecture, Its Components, & Communication Mechanism
05:25 -
Topic 3: Exploring the Advanced Wired BMS Architecture, Its Components, & Communication Mechanism
15:38 -
Topic 4: Comprehensive Overview of Wireless BMS Communication, Architecture, & Protocols
10:13
Module 5: BMS Hardware Configurations and Components
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Topic 1: Understanding BMS Hardware Topology – Centralized & Decentralized (Primary-Secondary) System
21:02 -
Topic 2: BMS Hardware Interconnections Explained and Design Considerations
16:20 -
Topic 3: Designing a BMS System: AFE, MCU, & Fuel Gauge Components
18:52 -
Topic 4: Understanding Internal & External Cell Balancing in BMS & Other Key BMS Components
16:19
Module 6: BMS Software Systems and Key Algorithms
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Topic 1: BMS Cell Balancer and Introduction to BMS Software System
15:17 -
Topic 2: Exploring Key BMS Software Algorithms โ From State Estimation, Charge-Discharge to Fault Diagnosis
18:00
Module 7: Advanced Battery Analytics & Energy Management with ML, IoT & Cloud Computing
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Topic 1: The Role of Machine Learning in Advanced Battery Life Cycle
13:45 -
Topic 2: Exploring IoT & Cloud Computing Algorithms in BMS
23:33 -
Topic 3: Machine Learning Approaches in BMS & Introduction to Digital Twin Concept
17:18
Module 8: Advanced Cell Modeling with MATLAB/Simulink for Li-Ion Cell
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Topic 1: Cell Modeling Part 1- Creating SOC & OCV Estimation Models
13:42 -
Topic 2: Cell Modeling Part 2- Creating Resistance & Power (R & P), Capacitance (C), and Temperature Estimation Models
17:46 -
Topic 3: Cell Modeling Part 3- Creating Terminal Voltage Estimation Model & Complete Battery Cell Simulation
18:22
Module 9: SOC Estimation Using Coulomb Counting & Kalman Filter Algorithms in MATLAB
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Topic 1: SOC Estimation Using Columb Counting Method
10:34 -
Topic 2: SOC Estimation Using Kalman Filter Algorithm Part 1
11:56 -
Topic 3: SOC Estimation Using Kalman Filter Algorithm Part 2
20:55
Module 10: Modeling Battery Management Systems (BMS) with MATLAB
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Topic 1: BMS Discharge Modeling – Part 1
21:36 -
Topic 2: BMS Discharge Modelling – Part 2
16:39
DIY Projects:
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Project: Modeling and State of Charge Estimation of a Li-ion Battery Cell using MATLAB and Simulink
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Student Ratings & Reviews
MOHDPARVEZ Parvez 2 months ago
Very helpful
Burra prashanth 6 months ago
GD
Hardware & Software Required
Software: MATLAB/Simulink
DIY Projects Included
Project: Battery Management System (BMS) Modeling and State of Charge (SOC) Estimation with Motor Drive modeling in MATLAB
PART 1: Battery & BMS Systems
The objective of this project is to develop a comprehensive Battery Management System (BMS) model in MATLAB that includes the estimation of State of Charge (SOC) for a given battery pack. The BMS model should be capable of accurately tracking the SOC of the battery during charge and discharge cycles, considering the battery’s voltage, current, and capacity characteristics.
PART 2: Motor Design & Simulation
The goal of this project is to develop a comprehensive modeling and simulation report on one of the following motor types: Permanent Magnet Synchronous Motor (PMSM), Brushless DC Motor (BLDC), Induction Motor (IM), or Switched Reluctance Motor (SRM). The project should demonstrate the understanding of mathematical modeling, dynamic simulation, and performance evaluation of the selected motor using MATLAB/Simulink or any other suitable simulation platform.
Course Benefits
For Professionals:
- Upskill for advanced roles in EV domain.
- Gain expertise in MATLAB-based simulations.
- Apply BMS algorithms in real-time systems.
- Strengthen technical and diagnostic capabilities.
- Enhance career growth with cutting-edge skills.
For Freshers:
- Acquire job-ready skills in EV sector.
- Learn industry-relevant tools and techniques.
- Understand real-world BMS applications.
- Boost placement prospects with technical exposure.
- Build foundation for further specialization.
Technical expertise you will gain
- Differentiate between active and passive balancing.
- Design effective thermal management systems.
- Implement communication protocols in BMS.
- Analyze BMS hardware configurations.
- Develop algorithms for battery diagnostics.
- Simulate BMS using MATLAB/Simulink.
- Estimate SOC using advanced filters.
- Evaluate BMS performance in EV/ESS applications.
- Electric Vehicle (EV) Systems Engineering
- Battery Pack Design
- BMS Hardware Development
- Battery Analytics and Diagnostics
- Embedded Systems Engineering
- Energy Storage Systems
- Battery Testing and Validation
- Control Systems Development
- Power Electronics Integration
- Thermal System Design
- BMS Engineer
- Battery Design Engineer
- Thermal Systems Engineer
- Embedded Systems Developer
- EV Systems Integration Engineer
- Battery Test Engineer
- Energy Systems Analyst
- R&D Engineer โ Battery Technology
- Powertrain Systems Engineer
- Simulation and Modeling Engineer
- Battery pack modeling
- SOC/SOH estimation techniques
- Thermal management system design
- Communication protocol integration (CAN, RS485, etc.)
- MATLAB/Simulink modeling
- Active and passive balancing strategies
- Diagnostic and fault detection methods
- Battery safety and compliance standards
- Wireless BMS configuration
- Battery lifecycle management
- Tata Motors
- Ather Energy
- Tata Elxsi
- Mahindra Electric
- Bosch
- Ola Electric
- Rivian
- Hyundai Mobis
- Panasonic Energy
- Exide Industries
Who can take this course?
This course is suitable for freshers & professionals who have:
- Basic knowledge of electrical/electronic engineering.
- Familiarity with MATLAB/Simulink.
- Understanding of lithium-ion battery fundamentals.
- Experience with control systems or embedded systems is a plus.
Personalized Trainer Support Portal:
- 24/7 Access to a personalized trainer support portal.
- One-on-One Mentorship for queries and project guidance.
- Access to diverse resources, including recorded lectures, reading materials, and practical guides.
- Dedicated forums for content discussion, insights, and project collaboration.
- Regular Feedback from trainers for comprehensive understanding and improvement.
At a glance
- 10 Modules.
- 35 Lectures.
- 9.447 hours of Video Content.
- 1 Project Assignment.
- Certification of Completion.
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LevelIntermediate
-
Total Enrolled83
-
Duration9 hours 27 minutes
-
Enrollment validityEnrollment validity: Lifetime
-
CertificateCertificate of completion
Government-Certified. Industry-Endorsed. Learner-Approved.
India's largest ASDC-certified EV training organisation โ with multi-layer Government of India recognitions, 300+ industry hiring partners, and a 4.8-star verified learner rating.
ASDC Certified
Automotive Skills Development Council, Government of India โ recognised by every major auto OEM.
Verified Credential
AICTE NEAT
National Educational Alliance for Technology โ AICTE's premium learning ecosystem.
Verified Credential
Ministry of Education
Recognised by Ministry of Education, Government of India, and NITI Aayog.
Verified CredentialOur 50,000+ Alumni Work At
Top OEMs, Tier-1 suppliers, and EV startups hire DIYguru-certified professionals
Placement powered by emobility.careers โ India's only EV-specific job portal
What Our Alumni Say
Real feedback from verified learners who completed the programme and moved into EV careers.
"The hands-on workshops and live projects gave me real EV skills. I got placed at Tata Motors within 2 months of certification. The BMS module is especially strong."
"Switched from a mechanical design role to EV powertrain after the course. The curriculum is industry-aligned and mentors are from top EV companies. Totally worth it."
"Best EV training in India, hands down. The placement support through emobility.careers was what actually made the difference. Interviewed at 6 companies, got 3 offers."
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