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.
Course Curriculum
Welcome to the course!
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Module 1: Cell Balancing in EV Battery System: Methods, Topologies, and Techniques
Module 2: Battery Cooling Systems: Benefits, Cooling Methods, and Advanced Liquid Solutions
Module 3: Comprehensive Guide to BMS Communication Protocols
Module 4: Wired and Wireless BMS Communication Systems – Architecture, Components, & Protocols
Module 5: BMS Hardware Configurations and Components
Module 6: BMS Software Systems and Key Algorithms
Module 7: Advanced Battery Analytics & Energy Management with ML, IoT & Cloud Computing
Module 8: Advanced Cell Modeling with MATLAB/Simulink for Li-Ion Cell
Module 9: SOC Estimation Using Coulomb Counting & Kalman Filter Algorithms in MATLAB
Module 10: Modeling Battery Management Systems (BMS) with MATLAB
DIY Projects:
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Student Ratings & Reviews
Burra prashanth 3 weeks 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 – 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.
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