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Module 1: Virtual Sensing & Battery Modelling
In this 45-minute session, participants will be introduced to the fundamentals of Model-Based Battery Management System (BMS) development, with a focus on creating battery plant models that accurately represent battery cell and pack behavior. The session will cover the principles of cell-level and pack-level battery modelling, followed by the development of virtual sensors used for estimating critical battery parameters. Participants will learn voltage, current, and temperature estimation techniques that enable advanced battery monitoring and control without relying solely on physical sensors. The session will conclude with an overview of how virtual sensing is applied in modern BMS architectures to enhance safety, performance, reliability, and state estimation accuracy in electric vehicle battery systems.
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Module 2: MIL-Based Algorithm Development & Validation
In this 60-minute session, participants will gain a practical understanding of the Model-in-the-Loop (MIL) development process used for designing and validating Battery Management System (BMS) algorithms. The session begins with an introduction to MIL concepts and the implementation of BMS architectures using MATLAB/Simulink. Participants will learn how protection algorithms are developed and integrated into the control framework, followed by the implementation of key BMS control strategies. The session will also cover simulation environment setup, verification methodologies, and techniques for assessing algorithm performance under various operating conditions. Finally, participants will explore the complete MIL validation workflow used by industry engineers to verify and refine BMS algorithms before deployment in real-world battery systems.
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Module 3: Real-World Fault Testing & Protection Logic Validation
In this 45-minute session, participants will learn the importance of fault validation in ensuring the safety, reliability, and robustness of Battery Management Systems (BMS). The session will cover various real-world fault scenarios commonly encountered in battery packs and demonstrate how protection mechanisms respond under abnormal operating conditions. Participants will explore testing methodologies for over-voltage, under-voltage, over-current, and temperature-related faults, along with the validation of corresponding protection strategies. The session will also discuss delay configuration, threshold tuning, and parameter optimization techniques that help balance system safety and performance. Using real-world battery data, participants will learn how protection logic is verified, refined, and validated to ensure reliable operation in practical electric vehicle and energy storage applications.
