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Mode of Delivery
Live online session
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Course Taught By
Subject Matter Industry Experts
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You will get
Certificate of Participation
Overview of webinar
Virtual Sensing in Battery Management Systems (BMS) is becoming a critical approach for improving battery intelligence, reducing sensor dependency, and enabling advanced state estimation in modern electric vehicle and energy storage applications. Rather than relying solely on physical sensors, virtual sensing combines embedded systems, signal acquisition, and physics-based modeling to estimate key battery parameters with greater accuracy and efficiency. This webinar is designed to provide a structured understanding of how the MCU interfaces with battery systems, how voltage, current, and temperature signals are acquired and processed, and how plant models are developed by simulating the physical behavior of cells. Participants will gain practical insights into the complete workflow of virtual sensing — from simulation environments to embedded implementation — and understand how advanced engineering teams develop scalable, reliable, and intelligent BMS architectures for next-generation battery systems.
Who Should Attend
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BMS Engineers & Embedded Developers
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Control System Engineers
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Validation & Verification Engineers
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Fresher aspiring to work in EV/BMS domain
Key Takeaways
By the end of this webinar, you will:
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Understand how the MCU reads and processes battery signals in a BMS
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Learn voltage, current, and temperature signal acquisition techniques
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Explore plant model development by simulating physical battery behavior
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Gain insights into simulation-to-embedded implementation workflow in BMS engineering
Enroll now for Webinar
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Virtual Sensing in BMS: From Simulation to Embedded Implementation
Free
Enroll Now
Certificate of Participation
Sample certificate
Learners will receive a digitally verifiable & LinkedIn shareable certificate for the course completion.
