
MICRO DEGREE
EV Battery Management System(BMS) Specialist
Build a Career in emerging EV space with Battery Management System Specialist Certification
100% LIVE Interactive Classes
Build a Career in emerging EV space with Battery Management System Specialist Certification

100% LIVE Interactive Classes
Reserve your spot today!
Basic Info
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Application closes on:28 Jun 2026
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What is in it for you?
100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
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Basic Info
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Application closes on:28 Jun 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
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Available in 4 monthly installments at $106/month
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Curriculum
Duration: 6 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- Understanding the role of BMS in electric vehicles
- Battery pack hierarchy: cell, module, and pack structure
- Key performance parameters: voltage, capacity, energy, and C-rate
- Challenges in EV battery management (aging, safety, thermal limits)
- Case study: Tesla Model 3 battery system architecture
- Hardware Demo
- Understanding Li-ion cell types: NMC, LFP, NCA, and emerging solid-state chemistries
- Charge-discharge characteristics and voltage profiles
- Cell balancing: passive vs active balancing principles
- Aging, degradation, and lifecycle analysis
- Testing methods: C-rate testing, impedance spectroscopy, and capacity checks
- Hardware Demo
- Overview of a complete BMS architecture and its core purpose
- Hardware components: microcontrollers, sensors, relays, and protection circuits
- Software layers and control logic overview
- Centralized, distributed, and modular BMS configurations
- Master-slave topology and scalability considerations
- Hardware Demo
- Voltage, current, and temperature monitoring fundamentals
- Protection mechanisms: over/under-voltage, current, and temperature limits
- SoC (State of Charge), SoH (State of Health), and SoP (State of Power) estimation
- Battery balancing and equalization strategies
- Fault detection, diagnostics, and data logging in BMS
- Hardware Demo
- Understanding estimation algorithms for BMS
- Model-based vs data-driven estimation approaches
- Kalman and Extended Kalman Filter (EKF) principles
- Machine Learning in predictive maintenance and BMS optimization
- Real-time algorithm implementation and validation
- Hardware Demo
- CAN and LIN bus fundamentals for BMS integration
- Communication between BMS and Vehicle Control Unit (VCU)
- OBD-II, diagnostic protocols, and fault reporting mechanisms
- Data transmission reliability and cybersecurity considerations
- Overview of CAN tools like CANalyzer, CANoe, and open-source alternatives
- Hardware Demo
- Understanding thermal runaway and its prevention methods
- Cooling system design: air, liquid, and phase change materials (PCM)
- Thermal sensing and control algorithms
- Functional safety and ISO 26262 overview
- Battery safety regulations: AIS-156, UN38.3, IEC 62660
- Hardware Demo
- Designing voltage and current sensing circuits
- Choosing microcontrollers, sensors, and MOSFETs for BMS
- Overview of PCB design and layout in Altium or KiCad
- Hardware-in-the-loop (HIL) simulation and test methodologies
- BMS validation and integration best practices
- Hardware Demo
- Cloud-connected BMS and real-time data analytics
- Over-the-air (OTA) firmware updates in EV systems
- Solid-state batteries and implications for future BMS designs
- AI-based fault prediction and performance optimization
- Open-source BMS frameworks: OpenBMS, Orion, ZEVA
- Mini Project
- Capstone Project: Choose between 48V BMS design, SoC algorithm, or thermal safety simulation
- Prepare technical documentation and presentation deck
- Showcasing project work in a professional engineering portfolio
- Career paths: BMS Engineer, Battery Validation Specialist, Powertrain Engineer
- Industry mentorship and final evaluation
Mentors

Sr Systems Manager, MG India, 12 Years

Tech Lead, 15+ Years, Qualcomm
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Tools Covered
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Basic understanding of electrical circuits and electronics
Familiarity with fundamental concepts of electrochemistry or battery technologies
Working knowledge of MATLAB or Python programming
Outcomes
Analyse battery cell chemistries, performance characteristics, and degradation mechanisms for EV applications
Implement state estimation algorithms including SOC, SOH, and SOP for real-time battery monitoring
Design battery pack architectures incorporating cell balancing, thermal management, and safety protection systems
Develop BMS hardware schematics and integrate firmware for production-grade electric vehicle systems
Build battery testing, validation, and qualification procedures aligned with industry standards such as ISO 26262
Implement CAN-based communication protocols for BMS integration with EV powertrain controllers
Analyse thermal runaway scenarios and design fault detection and mitigation strategies for lithium-ion battery packs
Simulate BMS behavior using MATLAB/Simulink for algorithm verification and hardware-in-the-loop testing
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
48V BMS Design and Hardware-in-the-Loop Validation
Design a complete 48V battery management system for a mild-hybrid EV, covering hardware component selection, cell balancing topology, and PCB layout. Validate the design through hardware-in-the-loop simulation in Simulink, verifying SOC estimation accuracy and fault response behavior.
SOC and SOH Estimation Algorithm Development
Develop and compare multiple state-of-charge and state-of-health estimation algorithms—including extended Kalman filter and coulomb counting—using real-world battery cycling data. Evaluate algorithm accuracy under varying temperature and load conditions and deploy the final model in a simulated BMS environment.
Thermal Safety Simulation and Cooling Strategy Optimization
Build a thermal runaway propagation model for a lithium-ion battery module and simulate abuse conditions such as overcharge, external short circuit, and nail penetration. Evaluate the effectiveness of liquid cooling, phase-change materials, and air cooling strategies, then recommend an optimal thermal management design for a target EV battery pack.

for successfully completing the 'EV Battery Management System(BMS) Specialist' course conducted from 16 May 2026 to 27 Jun 2026
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for successfully completing the 'EV Battery Management System(BMS) Specialist' course conducted from 16 May 2026 to 27 Jun 2026

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Frequently Asked Questions
Everything you need to know about the course
You should have a basic understanding of electrical circuits and electronics, some familiarity with battery or electrochemistry fundamentals, and working knowledge of MATLAB or Python. The course builds on these foundations to cover advanced BMS concepts.
The curriculum covers battery cell chemistry, BMS architecture and hardware design, state estimation algorithms (SOC, SOH, SOP), cell balancing techniques, thermal management and safety systems, CAN communication protocols, BMS-EV integration, and industry testing and validation standards such as ISO 26262.
You should plan for approximately 8-12 hours per week over the 6-week duration, which includes live interactive classes, self-paced study of course materials, and hands-on project work.
You will work on three industry-relevant projects including designing a 48V BMS with hardware-in-the-loop validation, developing SOC/SOH estimation algorithms using real cycling data, and simulating thermal safety scenarios with cooling strategy optimization. These projects mirror real engineering challenges faced by BMS teams.
Completing this course prepares you for roles such as BMS Engineer, Battery Validation Specialist, and Powertrain Engineer. The combination of algorithm development, hardware design, and safety analysis skills is in high demand as the EV industry rapidly scales production globally.
You will gain hands-on experience with MATLAB and Simulink for BMS modeling and simulation, Python for data analysis and algorithm prototyping, Altium Designer for PCB and hardware schematic design, and CANalyzer for vehicle communication protocol testing and debugging.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in EV Battery Management System(BMS) Specialist.
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
