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.
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.
A battery fault diagnosis technique by means of big data technology is proposed. Outlier detection algorithms are utilized for fault diagnosis verification. Quantitative battery fault analysis in the form of probability is proposed. A multi-dimensional influences in the time dimension is quantified.
In addition, a battery system failure index is proposed to evaluate battery fault conditions. The results indicate that the proposed long-term feature analysis method can effectively detect and diagnose faults. Accurate detection and diagnosis battery faults are increasingly important to guarantee safety and reliability of battery systems.
Abstract: Accurate detection and diagnosis battery faults are increasingly important to guarantee safety and reliability of battery systems. Developed methods for battery early fault diagnosis concentrate on short-term data to analyze the deviation of external features without considering the long-term latent period of faults.
Table 2 Statistical table of A phase current in normal state From the above analysis, it can be known that the new energy vehicle fault diagnosis system constructed in this paper has a good diagnosis effect, so it can be applied to subsequent practice.
The scarcity of traditional energy supply [1], [2] and the worsening of environmental pollution [3], [4] have become major obstacles to the development of the …
In particular, we offer (1) a thorough elucidation of a general state–space representation for a faulty battery model, involving the detailed formulation of the battery system state vector and …
This work proposes a novel data-driven method to detect long-term latent fault and abnormality for electric vehicles (EVs) based on real-world operation data. Specifically, …
explore the new technology of fault diagnosis and maintenance of new energy vehicles, especially the use of electronic diagnosis technology for the battery voltage fault diagnosis, to help the …
explore the new technology of fault diagnosis and maintenance of new energy vehicles, especially the use of electronic diagnosis technology for the battery voltage fault diagnosis, to help the …
According to statistics, 60% of fire accidents in new energy vehicles are caused by power batteries. The development of advanced fault diagnosis technology for power battery system has...
Given the intricate multi-layer internal structure of a LIB and the electrothermal coupling effect caused by faults, establishing a well-balanced battery model between fidelity and complexity …
This work mainly discusses the establishment of the battery voltage fault diagnosis mechanism of new energy vehicles using electronic diagnosis technology and clarified the specific …
The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is …
The goal is therefore to develop methods with high sensitivity and robustness that detect abnormalities in the battery system even under dynamic load profiles and sensor …
According to statistics, 60% of fire accidents in new energy vehicles are caused by power batteries. The development of advanced fault diagnosis technology for power battery …
Cloud-based battery management provides a new route for effective monitoring, control, diagnosis, and fault correction of battery systems. Novel insights on cloud-based …
Applying the neural network algorithm, this paper combines fault and defect diagnosis results with big data statistical regulation to construct a more complete battery …
As a high-energy carrier, a battery can cause massive damage if abnormal energy release occurs. Therefore, battery system safety is the priority for electric vehicles …
Download Citation | On Dec 1, 2023, Gangfeng Sun and others published Autoencoder-Enhanced Regularized Prototypical Network for New Energy Vehicle battery fault detection | Find, read …
The goal is therefore to develop methods with high sensitivity and robustness that detect abnormalities in the battery system even under dynamic load profiles and sensor …
At the same time, due to the increasing proportion of new energy in power generation [1], the energy storage system is also developing rapidly. Benefited from high …
With the increasing installation of battery energy storage systems, the safety of high-energy-density battery systems has become a growing concern. Developing reliable …
Cloud-based battery management provides a new route for effective monitoring, control, diagnosis, and fault correction of battery systems. Novel insights on cloud-based …
In order to improve the fault diagnosis effect of new energy vehicles, this paper proposes a fault diagnosis system of new energy vehicle electric drive system based on …