The automotive industry's shift from isolated autonomous features to comprehensive vehicle intelligence demands a system-level approach to engineering. Within software-defined vehicle (SDV) architectures, HV battery management systems are no longer static power sources. They are evolving into intelligent, reactive edge nodes capable of prognostics and diagnostics. Validating these software-driven, grid-connected battery systems introduces extreme complexity. Engineers must balance localized, real-time edge safety constraints with cloud-scale fleet data and fluctuating public grid environments all while defending an expanded cyber-physical attack surface. This presentation delivers a cross-disciplinary framework that bridges vehicle intelligence (SDI), advanced BMS and testing.

• Architectural blueprint for cloud-edge diagnostic integration
• Shift-left
• Advanced state-of-health (SoH) and remaining useful life (RUL) modeling
• Mitigating cyber-physical threats via continuous diagnostics
• Closing the loop: feeding field diagnostics data back into battery design