An Improved Lithium-Ion Battery Fire and Smoke Detection Method Based on the YOLOv8 Algorithm by Li Deng, Di Kang, Quanyi Liu

“…This paper introduces a novel algorithm—YOLOv8 (You Only Look Once version 8) + FRMHead (a multi-branch feature refinement head) + Slimneck (a lightweight bottleneck module), abbreviated as YFSNet—for lithium-ion battery fire and smoke detection in complex backgrounds. …”
Get full text

Research on intelligent detection method of new energy vehicle power battery based on improved ViBe algorithm by Lei Gu

Subjects: “…Battery State Detection…”
Get full text

Detection of Battery Appearance Defects Based on Multi‑Scale Object Detection by LI Yang, ZHANG Jianliang, ZHAO Min, WU Jian, HAN Chao, DANG Xiaoyan, WANG Huifang

“…The comparison experiments show that compared with the commonly used target detection algorithms Fast RCNN, SSD-VGG16, and YOLO v4, the mAP values of the method for battery defects are improved by 11.5%, 21.5%, and 3.3%, respectively, and the FPS quantities are increased by 16, 12, and 4 frames, respectively.…”
Get full text

Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms by Zilong Pu, Miaomiao Yang, Mingzhi Jiao, Duan Zhao, Yu Huo, Zhi Wang

“…Characteristic gas detection can be an efficient way to predict the degree of thermal runaway of a lithium battery. …”
Get full text

Fault detection for Li-ion batteries of electric vehicles with segmented regression method by Muaaz Bin Kaleem, Yun Zhou, Fu Jiang, Zhijun Liu, Heng Li

“…Abstract Electric vehicles are increasingly popular for their environmental benefits and cost savings, but the reliability and safety of their lithium-ion batteries are critical concerns. Current regression methods for battery fault detection often analyze charging and discharging as a single continuous process, missing important phase differences. …”
Get full text

YOLOv8-UCB: Visual Detection of Pouch Battery Using Improved YOLOv8 by Hao Hao, Xiang Yu

“…To address this problem, we propose an algorithm named YOLOv8-UCB for detecting surface defects in pouch batteries, which is based on the YOLOv8 model. …”
Get full text

Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…Additionally, a recursive multi-step prediction model is developed to anticipate long-term battery performance trends. The proposed algorithm effectively detects voltage deviations and pre-emptively predicts battery failures, mitigating fire hazards and ensuring operational stability. …”
Get full text

Fault detection for Li-ion batteries of electric vehicles with feature-augmented attentional autoencoder by Yunsheng Fan, Zhiwu Huang, Heng Li, Wei Yuan, Lisen Yan, Yongjie Liu, Zheng Chen

“…However, in the early stages of battery failure, its manifestations are often not obvious, making it difficult for conventional algorithms to detect them in time. …”
Get full text

Intelligent Computed Tomography-based Detection Method for Lithium Battery Mylar Film Damage by Menglei LI, Dimeng XIA, Guoyang LIN, Shusen ZHAO

“…This method utilizes computed tomography (CT) nondestructive testing technology to accurately obtain internal information on lithium batteries. Subsequently, by combining image-preprocessing techniques and deep learning algorithms, an intelligent detection model was constructed to efficiently and accurately detect defective batteries. …”
Get full text

Anti‐interference lithium‐ion battery intelligent perception for thermal fault detection and localization by Luyu Tian, Chaoyu Dong, Rui Wang, Yunfei Mu, Hongjie Jia

Get full text

An Enhanced Image Segmentation Technique-Based on Motion Detection Algorithm by Zaid Sh. Bakr, Hamzah M. Marhoon, Ammar Alaythawy

Get full text

Energy-Efficient Bridge Detection Algorithms for Wireless Sensor Networks by Orhan Dagdeviren, Vahid Khalilpour Akram

“…Since BFS is a natural routing algorithm for WSNs, the second algorithm achieves both routing and bridge detections. …”
Get full text

Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data by Jiali Wang, Jia Chen

“…Firstly, analyze and preprocess the big data uploaded by the battery. Subsequently, the importance of indicators in the data was analyzed using the Random Forest algorithm (RF). …”
Get full text

Design of a Transformer-GRU-Based Satellite Power System Status Detection Algorithm by Guoqi Xie, Xinhao Yang, Jiayu Zhao, Zhou Huang

“…This paper proposes an improved Transformer-GRU-based algorithm for satellite power status detection, which characterizes the operational condition of power systems by utilizing voltage and temperature data from battery packs. …”
Get full text

BESS-Set: A Dataset for Cybersecurity Monitoring in a Battery Energy Storage System by Giovanni Battista Gaggero, Alessandro Armellin, Giulio Ferro, Michela Robba, Paola Girdinio, Mario Marchese

Get full text

Online Core Temperature Estimation for Lithium-Ion Batteries via an Aging-Integrated ECM-1D Coupled Model-Based Algorithm by Yiqi Jia, Lorenzo Brancato, Marco Giglio, Francesco Cadini

Get full text

Early Fault Diagnosis and Prediction of Marine Large-Capacity Batteries Based on Real Data by Yifan Liu, Huabiao Jin, Xiangguo Yang, Telu Tang, Qijia Song, Yuelin Chen, Lin Liu, Shoude Jiang

“…To facilitate prompt fault detection, a fault diagnosis method based on the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is proposed, utilizing the voltage data of battery clusters. …”
Get full text

Advances in Early Warning of Thermal Runaway in Lithium‐Ion Battery Energy Storage Systems by Duzhao Han, Juan Wang, Chengxian Yin, Yuxin Zhao

“…Abstract Thermal runaway is a critical safety concern in lithium‐ion battery energy storage systems. This review comprehensively analyzes state‐of‐the‐art sensing technologies and strategies for early detection and warning of thermal runaway events. …”
Get full text

A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system by AL-Wesabi Ibrahim, Jiazhu Xu, Imad Aboudrar, Khaled Alwesabi, Li danhu, Hassan Z. Al Garni, Elhachemi Mammeri, Hossam Kotb, Mohit Bajaj, Shir Ahmad Dost Mohammadi

Get full text

Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model by Victoria A. O'Brien, Vittal S. Rao, Rodrigo D. Trevizan

“…This paper proposes a three-pronged online and offline method to detect, identify, and classify FDIAs corrupting the voltage sensors of a battery stack. …”
Get full text