With the rapid growth of AI computing and cloud infrastructure, data centers and high-density server clusters are placing increasingly stringent requirements on power continuity and system reliability. AI servers typically operate under high-load, high-power-density conditions. Any interruption in the primary power supply, even for a brief moment, can lead to interrupted computing tasks, critical data loss, and potentially system-wide failures.

As new energy vehicles continue to evolve toward higher-voltage and platform-based architectures, 400V/800V battery systems have become a key direction in vehicle electrical system development. While high-voltage platforms improve charging efficiency, reduce system losses, and enhance overall vehicle performance, they also place higher demands on the electrical stability of core components such as battery packs, DC/DC converters, and onboard chargers (OBCs).

1. Automotive Wiring Harness Testing Requirements: From Basic Continuity to Long-Term Reliability Verification With the rapid development of new energy vehicles, intelligent driving, and vehicle electronic/electrical architectures, automotive wiring harnesses are no longer just simple electrical connection components, but the key “neural network” throughout the entire vehicle for power supply, signal transmission, and system control.

Fault Ride-Through (FRT) testing of an energy storage Power Conversion System (PCS) is a strict compliance test. It is mainly used to verify whether the PCS can remain continuously connected to the grid without tripping when voltage sags or swells occur, and whether it can provide the necessary reactive power support to the grid as required.

Programmable Grid Simulators: A Key Tool for Modern Power Electronics Testing With the rapid growth of renewable energy and the increasing complexity of power electronic systems, comprehensive, efficient, and safe testing of photovoltaic inverters, energy storage converters, and EV charging equipment has become a critical challenge.

Intelligent manufacturing has accelerated in recent years, penetrating into the automotive, new energy, consumer electronics, industrial manufacturing and other industries, leading industrial transformation and upgrading. Through data analysis and artificial intelligence technology, intelligent manufacturing can automatically make decisions, optimize the production process, highly automated to complete the production task, reduce human intervention, significantly improve production accuracy, production quality, production efficiency.