As the main component of the new energy battery, the safety vent usually is welded on the battery plate, which can prevent unpredictable explosion accidents caused by the increasing internal pressure of the battery. The welding quality of safety vent directly affects the safety and stability of the battery; so, the welding-defect detection is of great significance. In …
As we all know, compared with traditional fuel vehicles, new energy electric vehicles can not only save energy, but also reduce emissions, which is an important direction for future vehicles. However, as the main component of performance, battery performance is highly dependent on temperature, battery life is short, and the range is not ideal. In order to ensure …
SI Separator Interference.A battery separator is a type of polymeric membrane that is positioned between the anode and cathode. Table 1. Attribute descriptions (see examples in Fig.2). •We propose a new challenging task named power battery detection (PBD
Lithium-ion batteries (LIBs) with relatively high energy density and power density are considered an important energy source for new energy vehicles (NEVs). However, LIBs are highly sensitive to temperature, which makes their thermal management challenging. Developing a high-performance battery thermal management system (BTMS) is crucial for the battery to …
This paper introduces a new energy battery active-passive hybrid binocular intelligent inspection system, using structured light and laser line-scan instruments to acquire battery surface image …
Advanced Energy Materials is your prime applied energy journal for research providing solutions to today''s global energy challenges. Abstract The rapid commercialization of lithium batteries greatly promotes the development of the electric vehicles, renewable energy storage systems and consumer electronics.
Based on the data-driven principle, Zhao et al. [36] and Yao et al. [37] proposed a new fault diagnosis method using a recurrent neural network and convolution neural network with the dynamic characteristics of lithium-ion power battery.
As an essential component of the new energy vehicle battery, current collectors affect the performance of battery and are crucial to the safety of passengers. The significant differences in shape and scale among defect types make it challenging for the model detection of current collector defects. In order to reduce application costs and conduct real-time detection with …
This paper introduces an autoencoder-enhanced regularized prototypical network for New Energy Vehicle (NEV) battery fault detection. An autoencoder is first deployed …
Here, authors present a large-scale electric vehicle charging dataset for benchmarking existing algorithms, and develop a deep learning algorithm for detecting Li-ion …
Due to the inability to directly measure the internal state of batteries, there are technical challenges in battery state estimation, defect detection, and fault diagnosis. Ultrasonic technology, as a non-invasive diagnostic method, has been widely applied in the ...
With the development of sustainable economy, new energy materials are widely used in various industries, and many cars also adopt new energy power batteries as power sources. However, it is currently not possible to accurately diagnose faults in power batteries, which results in the safety of power batteries not being guaranteed. To address this issue, this …
Battery sensor data collection and transmission are essential for battery management systems (BMS). Since inaccurate battery data brought on by sensor faults, communication issues, or even cyber-attacks can impose serious harm on BMS and adversely impact the overall dependability of BMS-based applications, such as electric vehicles, it is …
Highlights. •. Adaptive observers are designed for SoC and voltage sensor faults in new and aged EV battery cells. •. Fault detectors are designed considering battery aging …
Fault detection of the connection of lithium-ion power batteries based on entropy for electric vehicles J Power Sources, 293 ( 2015 ), pp. 548 - 561 View PDF View article View in Scopus Google Scholar
We conduct a comprehensive study on a new task named power battery detection (PBD), which aims to localize the dense cathode and anode plates endpoints from X-ray images to evaluate the quality of power batteries. Existing manufacturers usually rely on human eye observation to complete PBD, which makes it difficult to balance the accuracy and …
The new energy vehicle system is in the initial stage of application, so the probability of fault is greater. Therefore, its reliability urgently needs to be improved. 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 improved machine learning and …
Scientific Reports - An energy and leakage current monitoring system for abnormality detection in electrical appliances Skip to main content Thank you for visiting nature . You are using a ...
Flat panel CT detection is based on the principle of projection amplification, resulting in a decrease in sample resolution as its size increases. 25 To enhance image resolution, two common approaches are reducing x-ray focus and/or employing a higher resolution flat-panel detector. 26 However, these methods do not overcome the limitations of …
Electric vehicles account for the highest proportion of new energy vehicles. Therefore, this study analyzed the battery health monitoring of new energy vehicles. By …
Abstract: We conduct a comprehensive study on a new task named power battery detection (PBD), which aims to localize the dense cathode and anode plates endpoints from X-ray images to evaluate the quality of power batteries.
We conduct a comprehensive study on a new task named power battery detection (PBD), which aims to localize the dense cathode and anode plates endpoints from X-ray images to evaluate the quality of power batteries. Existing manufacturers usually rely on human eye observation to complete PBD, which makes it difficult to balance the accuracy and efficiency of detection. To …
Lithium-ion batteries have been widely used in new energy vehicles, electric bicycles, aerospace, the military, and other fields, especially in the field of electric vehicles [ 12
As an essential component of the new energy vehicle battery, current collectors affect the performance of battery and are crucial to the safety of passengers. The significant differences in shape and scale among defect types make it challenging for the model detection of current collector defects. In order to reduce application costs and conduct real-time detection …
We conduct a comprehensive study on a new task named power battery detection (PBD), which aims to localize the dense cathode and anode plates endpoints from X-ray images to evaluate the quality of power batteries. Existing manufacturers usually rely on ...
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 …
An Adaptive Lightweight Defect Detection Model for New Energy Vehicle Battery Current Collector | As an ... The main ingredients of the new framework, called DEtection TRansformer or DETR, are a ...
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...
The remainder of this paper is organized as follows. In Section 2, the fundamentals of DRT are introduced, along with a detailed explanation of the proposed lithium plating detection method Section 3, we discuss the lithium plating detection results of the proposed method under different charging conditions and conduct a comparative analysis of …
The safety of electric vehicles (EVs) has aroused widespread concern and attention. As the core component of an EV, the power battery directly affects the performance and safety. In order to improve the safety of power batteries, the internal failure mechanism and behavior characteristics of internal short circuit (ISC) and thermal runaway (TR) in extreme …
The widespread growth of electric vehicles (EV)s has highlighted the need for effective diagnostic and prognostic techniques for EV battery faults. Lately, deep learning (DL) techniques are being adopted for battery faults detection, diagnostics and prognostics and their potential is still not yet fully covered for these tasks. ...
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