Remote diagnosis of new energy battery cabinet

Why do we need reliable battery fault diagnosis & fault warning algorithms?

Developing reliable battery fault diagnosis and fault warning algorithms is essential to ensure the safety of battery systems. After years of development, traditional fault diagnosis techniques based on three-dimensional information of voltage, current and temperature have gradually encountered bottlenecks.

Can battery management systems be integrated with fault diagnosis algorithms?

The integration of battery management systems (BMSs) with fault diagnosis algorithms has found extensive applications in EVs and energy storage systems [12, 13]. Currently, the standard fault diagnosis systems include data collection, fault diagnosis and fault handling , and reliable data acquisition [, , ] is the foundation.

What is maintenance and fault diagnosis technology of new energy vehicles?

In order to ensure the normal and practical use of new energy vehicles, it is necessary to analyze their faults in time in daily use and adopt effective maintenance technology to repair them. The maintenance and fault diagnosis technology of new energy vehicles is related to the stable operation and service life of vehicles.

Can multidimensional States be used to detect battery faults?

There is a lack of research on the coupled evolution of multidimensional states in the battery fault process. Although numerous new sensors are believed to hold potential for early fault diagnosis, they are often applied to monitor different signals of a battery independently.