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Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries …
Request PDF | Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries | As the main component of the new energy battery, the safety vent ...
Machines | Free Full-Text | Fault Detection and Diagnosis of the Electric Motor Drive and Battery …
Fault Detection and Diagnosis of the Electric Motor Drive ...
A Review on the Recent Advances in Battery Development and Energy Storage Technologies
In general, energy density is a key component in battery development, and scientists are constantly developing new methods and technologies to make existing batteries more energy proficient and safe. This will make it possible to design energy storage devices that are more powerful and lighter for a range of applications.
State of temperature detection of Li-ion batteries by intelligent …
Equivalent circuit parameters are used to associate the physical effects occurring inside the electrochemical system, i.e., the battery cell. Fig. 2 (a) presents the general structure of the Li-batteries where the positive electrode is made of the battery technology definition here Nickel Manganese Cobalt Oxide (NMC 111) cathode with 33% …
Sensors | Free Full-Text | The Art of Designing Remote IoT Devices—Technologies and Strategies for a Long Battery …
Long-range wireless connectivity technologies for sensors and actuators open the door for a variety of new Internet of Things (IoT) applications. These technologies can be deployed to establish new monitoring capabilities and enhance efficiency of services in a rich diversity of domains. Low energy consumption is essential to enable battery …
Advancing fault diagnosis in next-generation smart battery with …
Uncovering subtle battery behavior changes for improved fault detection. • Specific focus on multidimensional signals to enhance safety strategies. • Future trends …
The status quo and future trends of new energy vehicle power batteries ...
Lead--acid batteries: Lead–acid batteries have small internal resistance and can meet the need for large current discharge. Medium and small-sized sealed lead–acid batteries are widely used in uninterrupted power supply (UPS), control switch, alarm, the traction power source for automobiles, electric bicycles, etc.
Deciphering Advanced Sensors for Life and Safety Monitoring of Lithium Batteries
Weihan Wang Qingdao Industrial Energy Storage Research Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Science, Qingdao, 266101 P. R. China Shandong Energy Institute, Qingdao, 266101 P. …
Autoencoder-Enhanced Regularized Prototypical Network for New Energy Vehicle battery fault detection …
This paper leverages Baidu''s New Energy Vehicle (NEV) live operation data as the foundation for experimentation. Multiple sensors are implemented to monitor the new energy battery, taking measurements of the battery pack''s voltage, current, and temperature, and
Evaluation of IoT-based remote monitoring systems for stand
The deployment of remote monitoring systems based on Internet of Things (IoT) presents an opportunity to curtail operational and maintenance (O&M) costs associated with stand-alone PV systems. This study evaluates the characteristics of the commonly employed IoT platforms, their capabilities and associated O&M cost savings. Analysis of …
A Welding Defect Detection Method for Battery Pole Based on the ...
Welding defect detection plays an important role in the quality control of new energy batteries. Since the traditional manual detection methods are not intelligent enough and cost a lot, many deep learning algorithms have been proposed. With the development of detection technology, the Yolo series of algorithms have been applied to …
New choice of energy battery electrode materials in new energy …
Author contributions. All authors contributed to the study conception and design. Shitong Yan completed the overall experimental part and data collation, Danyi Li participated in the detection work including scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS) and diffraction of x-ray (XRD), Jihao Li provided the …
Sensors | Free Full-Text | Fiber Optic Sensing Technologies for Battery Management Systems and Energy Storage Applications …
Applications of fiber optic sensors to battery monitoring have been increasing due to the growing need of enhanced battery management systems with accurate state estimations. The goal of this review is to discuss the advancements enabling the practical implementation of battery internal parameter measurements including local …
Quantum Sensing for Energy Applications: Review and …
MOFs are highly organized, porous, crystalline structures comprised of metal cluster centers connected by organic molecular linkers, and have been extensively used for sensing applications, [] including in energy-relevant areas such as the detection of gases, []
Deep neural network‐driven in‐situ detection and quantification of lithium plating on anodes in commercial lithium‐ion batteries …
1 INTRODUCTION Lithium-ion batteries (LIBs) have experienced an unprecedented deployment in the field of electric vehicles (EVs), battery energy storage systems (BESS), and portable electronics, 1 to their high energy efficiency and high energy density. 2, 3 However, a critical challenge that hinders the further promotion of LIBs is its …
Autoencoder-Enhanced Regularized Prototypical Network for …
This paper introduces an autoencoder-enhanced regularized prototypical network for New Energy Vehicle (NEV) battery fault detection. An autoencoder is first …
A Review on the Recent Advances in Battery Development and …
Use of detection equipment that is specifically designed for the installation''s energy storage chemistry and capacity, choose the best site to mount the chosen detection technology, …
DOE Announces $24 Million for Commercial Scaling of Battery and Methane Detection Technologies
These SCALEUP "Fast-Track" teams, Natron Energy and Bridger Photonics, will receive $19 million and $5 million, respectively, to further their commercialization efforts in sodium-ion battery development and …
A Lightweight Deep-Learning Algorithm for Welding Defect …
A Lightweight Deep-Learning Algorithm for Welding Defect Detection in New Energy Vehicle Battery Current Collectors. Abstract: The future direction of global …
Semantic segmentation supervised deep-learning algorithm for …
1. Ren G Meng Y Shao B Liu T Analysis in secondary use of new energy automotive battery Adv Energy Power Eng 2016 4 82 87 10.12677/AEPE.2016.44011 Google Scholar; 2. Cao X, Wallace W, Poon C, Immarigeon J-P (2003) Research and progress in laser welding of wrought aluminum alloys. i. laser welding processes.
Realistic fault detection of li-ion battery via dynamical deep learning
studies do not reveal the power of deep learning for EV battery fault detection with large-scale publicly ... for high-energy and high-safety lithium-ion batteries. Nat. Energy 5, 786–793 (2020 ...
Review article EV battery fault diagnostics and prognostics using …
The findings can guide researchers, battery experts and stakeholders in further advancing the field of EV battery fault diagnostics and prognostics, leading to …
Remote Monitoring and Analysis of EV Batteries using BMS
Abstract: Battery Management Systems (BMS) are used in various current and business structures to make the battery action more capable, for the appraisal of the battery state, …
Detection and Fault Diagnosis of High-Voltage System of New Energy …
With the development of new energy vehicles, the detection and fault diagnosis of high voltage system of new energy vehicles are becoming more and more important. The leakage ...
Analysis and detection of charge and discharge characteristics of lithium battery …
The analysis and detection method of charge and discharge characteristics of lithium battery based on multi-sensor fusion was studied to provide a basis for effectively evaluating the application performance. Firstly, the working principle of charge and discharge of lithium battery is analyzed. Based on single-bus temperature sensor …
New choice of energy battery electrode materials in new energy …
Author contributions All authors contributed to the study conception and design. Shitong Yan completed the overall experimental part and data collation, Danyi Li participated in the detection work including scanning electron microscopy (SEM), X-ray photoelectron ...
Energies | Free Full-Text | A Review on Battery Thermal Management for New Energy …
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 …
Onboard in-situ warning and detection of Li plating for fast …
Developing an in-situ and real-time Li plating detection method is crucially important to ensure the safety and reliability of batteries [[9], [10], [11]]. Furthermore, a Li plating warning method can bring new opportunities for developing the battery life extension strategy and optimizing the charging strategy.
High sensitivity detection of lithium plating in high-energy lithium ...
Introduction. Lithium-ion batteries (LIBs), benefiting from long cycle life, high power density, and low self-discharge rate, have been widely used in electric vehicles, portable electronic devices, and energy storage systems in recent years [1].
Progress and challenges in ultrasonic technology for state estimation and defect detection of lithium-ion batteries …
Progress and challenges in ultrasonic technology for state ...
Investigation of gas diffusion behavior and detection of 86 Ah LiFePO4 batteries in energy …
1. Introduction Lithium-ion batteries (LIBs) have been used on a large scale in electrochemical energy storage (EES) systems and other fields in virtue of their high energy density, long lifespan and low self-discharge (Gong et al., 2023, Liu et al., 2020, Lyu et al., 2020, Wang et al., 2019b).).
Early multi-parameter detection study of lithium-ion batteries …
Characteristics of smoke, CO and H 2 from LiFePO 4 (LFP) batteries are analyzed. The ratio of blue to infrared light from smoke is used for battery detection. • A detrending algorithm is used for battery thermal runaway detection. • H 2 is more suitable as the main detection signal gas for LFP batteries. ...