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Research on power battery anomaly detection method based on …
Health monitoring and abnormality detection of power batteries for new energy vehicles has been one of the hot topics in recent years. ... Research on power battery anomaly …
Multi-scenario failure diagnosis for lithium-ion battery based on ...
By coupling two algorithms, an innovative fast-converging density-based cluster method is achieved, and helps improve the detection of abnormal battery cell. …
Research on Outlier Detection Algorithm for Evaluation of Battery ...
To realize outlier detection in the running process of battery system effectively, a new high-dimensional data stream outlier detection algorithm (DSOD) based on angle …
Safety management system of new energy vehicle power battery …
The contribution of the research is that the fault diagnosis model can monitor the battery status in real time, prevent overcharge and overdischarge, improve the battery …
Research on SOC Algorithm of Lithiumion Battery Based on New Energy ...
3.1 Filtering Process of EKF Algorithm. Kalman filter algorithm is only applicable to linear systems. For nonlinear systems, an extended Kalman filter (EKF) algorithm is …
Comprehensive testing technology for new energy vehicle power …
The research innovation lies in proposing a multi-algorithm combination …
Towards Automatic Power Battery Detection: New Challenge …
•We propose a new challenging task named power battery detection (PBD) and construct a complex PBD dataset, design an effective baseline, formulate comprehensive
Recent advances in model-based fault diagnosis for lithium-ion ...
A battery management system (BMS) is critical to ensure the reliability, efficiency and longevity of LIBs. Recent research has witnessed the emergence of model-based fault diagnosis methods …
Safety management system of new energy vehicle power battery …
The continuous progress of society has deepened people''s emphasis on the new energy economy, and the importance of safety management for New Energy Vehicle …
DCS-YOLO: Defect detection model for new energy vehicle battery …
To address the surface defect detection in the battery current collector of electric vehicles, an improved target detection algorithm called DCS-YOLO based on YOLOv5 …
Research on power battery anomaly detection method based on …
Health monitoring and abnormality detection of power batteries for new energy vehicles has been one of the hot topics in recent years. Accurate and efficient power battery …
Research on power battery anomaly detection method based on …
This paper proposes a novel network structure for power battery anomaly …
Research progress in fault detection of battery systems: A review
However, with the rapid advancement of big data technology and the …
Research on Outlier Detection Algorithm for Evaluation of Battery ...
The experimental results demonstrate that DSOD is more efficient than Simple variance of angles (Simple VOA) and angle-based outlier detection (ABOD) and is very …
Research on power battery anomaly detection method based on …
This paper proposes a novel network structure for power battery anomaly detection based on an improved TimesNet. Firstly, the original battery data undergo …
New energy vehicle battery state of charge prediction based on …
To avoid significant errors in battery life prediction caused by a large amount of capacity regeneration in the battery dataset, a moving average filtering algorithm is studied to …
Lithium battery surface defect detection based on the YOLOv3 detection …
With the continuous development of science and technology, cylindrical lithium batteries, as new energy batteries, are widely used in many fields. In the production process of …
Research on SOC Algorithm of Lithium Ion Battery …
Research on SOC Algorithm of Lithium Ion Battery Based on New Energy Vehicle. Conference paper; First Online: ... In the future, more electrochemical test methods or other non-destructive detection methods may …
Efficient Battery Fault Monitoring in Electric Vehicles
The most problem in electric vehicles is the detection of faults in the battery; …
Machine vision-based detection of surface defects in cylindrical ...
Cylindrical battery cases are generally produced by stamping equipment, for the defect detection of stamped parts, a lot of research has been carried out at home and …
Research progress in fault detection of battery systems: A review
However, with the rapid advancement of big data technology and the emergence of machine learning and neural network algorithms, battery fault diagnosis …
Comprehensive testing technology for new energy vehicle power …
The research innovation lies in proposing a multi-algorithm combination prediction model. PSO optimizes the parameters of the SVR model to adapt to different battery …
Efficient Battery Fault Monitoring in Electric Vehicles
The most problem in electric vehicles is the detection of faults in the battery; in this paper we discuss a systematic data process for detecting and diagnosing faults in the …