Accelerating AI-Based Battery Management System Validation
애플리케이션 노트
This application note explains how the Keysight FG33532A Trueform waveform generator enables safe and repeatable Hardware-in-the-Loop (HIL) validation of AI-based Battery Management Systems (AI-BMS). Instead of relying on destructive battery abuse tests, engineers can generate synchronized arbitrary waveforms that emulate battery voltage, current, temperature, state of charge, and fault conditions such as internal short circuits and thermal runaway. The approach improves test repeatability, reduces development cost, and provides realistic hardware-level validation of AI-driven fault detection and decision-making algorithms. The document also compares conventional validation methods with waveform-based testing and describes a practical workflow for generating, synchronizing, and applying battery signals for comprehensive BMS evaluation.