What is the diagnostic approach for battery faults?

As electric vehicles advance in electrification and intelligence, the diagnostic approach for battery faults is transitioning from individual battery cell analysis to comprehensive assessment of the entire battery system. This shift involves integrating multidimensional data to effectively identify and predict faults.

What are the analysis and prediction methods for battery failure?

At present, the analysis and prediction methods for battery failure are mainly divided into three categories: data-driven, model-based, and threshold-based. The three methods have different characteristics and limitations due to their different mechanisms. This paper first introduces the types and principles of battery faults.

What is the future of lithium battery fault diagnosis technology?

In short, the research of lithium battery fault diagnosis technology will continue to make progress in data processing, model optimization, parameter selection and real-time monitoring, to provide more effective solutions for the reliability and safety of batteries. Yuzhao Shang: Writing – original draft. Shanshuai Wang: Writing – review & editing.

Are lithium-ion batteries fault-diagnosed?

Consequently, the fault diagnosis of lithium-ion batteries holds significant research importance and practical value. As electric vehicles advance in electrification and intelligence, the diagnostic approach for battery faults is transitioning from individual battery cell analysis to comprehensive assessment of the entire battery system.

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.

How accurate are battery parameters in battery management system?

The detection method of battery parameters in battery management system is simple and the accuracy is limited [, , ], but the accuracy of parameters is the direct factor affecting the fault diagnosis results. Wang et al. proposed a model-based insulation fault diagnosis method based on signal injection topology.