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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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 – 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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Congratulations on Successfully Completing the Course!
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Student Ratings & Reviews
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Hardware & Software Required
DIY Projects Included
Course Benefits
Technical expertise you will gain
Who can take this course?
Personalized Trainer Support Portal:
At a glance
- 10 Modules.
- 35 Lectures.
- 9.447 hours of Video Content.
- 1 Project Assignment.
- Certification of Completion.
-
LevelIntermediate
-
Duration9 hours 27 minutes
-
Enrollment validityEnrollment validity: Lifetime
-
CertificateCertificate of completion
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