Electric vehicles may be quieter in overall SPL, but from an NVH perspective they are often harder to diagnose. Once the masking effect of the combustion engine disappears, previously hidden sounds - such as motor whine, inverter-related tonal components, gear noise, wind noise, road noise and interior squeak and rattle - become much more noticeable. This shift makes fast source localization increasingly important in EV development, especially when engineers need to move quickly from a test observation to a practical troubleshooting path. This presentation will provide a broad, application-oriented overview of how acoustic imaging can support EV NVH work through real-time noise source visualization and frequency-band-focused analysis across typical EV testing scenarios. Rather than replacing conventional microphones and vibration sensors, acoustic imaging can serve as a complementary tool for quickly highlighting where dominant noise is concentrated, which areas deserve further investigation, and how teams can improve the efficiency of early-stage problem screening. The presentation will also briefly draw on CRYSOUND SonoCam dynamic road-test experience to illustrate how acoustic imaging can be applied in EV NVH evaluation. Based on this broader context, the session will outline how the method may support faster noise source localization, more intuitive diagnostic workflows, and more efficient follow-up investigation during vehicle development and testing.