Recent advances in model-based fault diagnosis for lithium-ion ...
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 …
Progress and challenges in ultrasonic technology for state …
To ensure battery reliability, foreign object defect detection is commonly performed during the production and usage of batteries [147]. Currently, there are several …
Defects in Lithium-Ion Batteries: From Origins to Safety Risks
Currently, two main methods exist for ISC detection in defective batteries: one is to detect defective batteries in the production line by identifying defects during battery …
(PDF) A Systematic Review of Lithium Battery Defect Detection ...
The review covers various defect types, including manufacturing, operational, and environmental defects, and discusses the methodologies used for defect detection, …
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
With a scarcity of specific defect data, we introduce an innovative Cross-Domain …
DCS-YOLO: Defect detection model for new energy vehicle battery …
The future trend in global automobile development is electrification, and the current collector is an essential component of the battery in new energy vehicles. Aiming at the …
Precision-Concentrated Battery Defect Detection Method in Real …
Battery defect detection based on the abnormality of external parameters is a promising way to reduce this kind of thermal runaway accidents and protect EV consumers …
A YOLOv8-Based Approach for Real-Time Lithium-Ion Battery
Targeting the issue that the traditional target detection method has a high missing rate of minor target defects in the lithium battery electrode defect detection, this paper …
Defects in Lithium-Ion Batteries: From Origins to Safety Risks
Currently, two main methods exist for ISC detection in defective batteries: …
An end-to-end Lithium Battery Defect Detection Method Based on ...
In this paper, AIA DETR model is proposed by adding AIA (attention in attention) module into …
An end-to-end Lithium Battery Defect Detection Method Based …
In this paper, AIA DETR model is proposed by adding AIA (attention in attention) module into transformer encoder part, which makes the model pay more attention to correct defect …
HE-Yolov8n: an innovative and efficient method for detecting defects …
4 · Specifically, in lithium battery shell defect detection, it achieves an mAP50 of 97.0%, representing a 4.6% improvement over Yolov8n. Its parameters and FLOPs are reduced by …
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
This research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries. …
Battery defect detection for real world vehicles based on …
In addition, the current power battery defect detection is mostly based on equipment testing after production and recall, which does not make good use of actual data …
Realistic fault detection of li-ion battery via dynamical deep …
Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate battery deployment, and promote low-carbon economies.
Surface defect detection of cylindrical lithium-ion battery by ...
In the proposed Lithium-ion battery Surface Defect Detection (LSDD) system, an augmented dataset of multi-scale patch samples generated from a small number of lithium-ion battery …
Lithium battery surface defect detection based on the YOLOv3 detection …
The experimental results show that the mean average precision (mAP) value of the detection algorithm on the lithium battery validation dataset reaches 94% and the detection …
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
With a scarcity of specific defect data, we introduce an innovative Cross-Domain Generalization (CDG) approach, incorporating Cross-domain Augmentation, Multi-task Learning, and Iteration …
Frontiers | Ultrasonic Tomography Study of Metal Defect Detection …
Keywords: lithium-ion battery, ultrasonic, non-destructive testing, material property, battery defect, battery safety. Citation: Yi M, Jiang F, Lu L, Hou S, Ren J, Han X and …
Multi-Cell Testing Topologies for Defect Detection Using ...
The detection of defects particularly motivates the optimization and development of innovative characterization methods, with simultaneous testing of multiple cells in the …
Rechargeable lithium-ion cell state of charge and defect detection …
When and why does a rechargeable battery lose capacity or go bad? ... Mohammadi, M., Schauerman, C.M. et al. Rechargeable lithium-ion cell state of charge and …
Minimal Defect Detection on End Face of Lithium Battery Shells
The experimental results show that the proposed YOLO-MDD has a mean average precision of 80% for the defect detection of the lithium battery shells, especially with a …