Description
Engineer the Future of Electric Mobility The Battery Management System (BMS) is the most critical component of any electric or hybrid vehicle (HEV/EV). It ensures optimal performance, extends battery life, and guarantees passenger safety by preventing thermal runaway and overcharging. As the automotive industry accelerates toward full electrification, engineers with hands-on BMS development skills are in unprecedented demand.
This course takes you far beyond basic battery theory. You will engage in practical, Model-Based Design to build robust BMS architectures entirely in software before deploying them to hardware.
What You Will Master
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State Estimation: Implement advanced algorithms to accurately calculate State of Charge (SOC) and State of Health (SOH) in real-time.
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Cell Balancing Logic: Design active and passive balancing control systems to maintain uniform voltage across highly stressed battery packs.
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Thermal Management & Safety: Engineer supervisory logic for cooling controls, overcurrent protection, and high-voltage contactor management.
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Equivalent Circuit Modeling: Build accurate 1RC and complex dynamic models to simulate lithium-ion cell behavior under varying loads.
Unique Course Features
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Hybrid Powertrain Integration: Understand exactly how your BMS interacts with the broader vehicle, featuring deep technical insights into P0, P1, P2, P3, and P4 hybrid electric vehicle architectures.
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Interactive Chemistry Visualizations: Go beyond the math with unique visual representations that illustrate the exact chemical-level reactions occurring inside the battery during charging and discharging cycles.
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Industry-Standard Tools: Learn the exact Model-Based Design workflows used by top OEMs, utilizing MATLAB, Simulink, and Simscape to build, test, and validate your logic safely in a simulated environment.
Who Should Enroll?
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Automotive & Control Systems Engineers: Upgrade your skill set for the rapidly expanding EV market.
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Engineering Students: Bridge the gap between classroom theory and real-world embedded software engineering.
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Model-Based Design Enthusiasts: Take your Simulink and logic implementation skills to the next level with complex, real-world engineering problems.
Prerequisites
A basic understanding of control systems and electrical engineering concepts is recommended. Familiarity with MATLAB and Simulink will help you navigate the modeling environment more quickly, but step-by-step guidance is provided for all major project builds.
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