New energy vehicle battery state of charge prediction based on
As the most important component of new energy electric vehicles, lithium-ion batteries may suffer irreversible damage to the battery due to an abnormal state of charge. Nevertheless, the extant research on charge prediction predominantly employs a single model or an enhanced single model. However, these approaches do not fully account for the intricacies
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China''s Gotion unveils new batteries, global expansion on track
The nickel cobalt manganese (NCM) battery cell targets producers of luxury vehicle models that look to provide their owners with an unbeatable driving range and charging speed. It has an energy density of 285 watt-hours per kilogram (Wh/kg), charges from 10% to 70% in nine minutes, and maintains at least 70% capacity for 2,500 cycles at room
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DGNet: An Adaptive Lightweight Defect Detection Model for New Energy
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
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Research on State of Health of Power Battery Assessment Model
To solve the problem of difficulty in evaluating the battery health status (SOH) of new energy vehicles, a novel model is established in this paper based on new
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Big-Data-Based Power Battery Recycling for New Energy Vehicles
trace. And constructed a new energy vehicle decommissioned power battery recycling platform based on the big data technology. Integrated characteristics of big data information, this paper
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New Energy Vehicle Power Battery Raw Material Industry Analysis
of CATL, as well as BYD Han, lithium iron version of model 3, Hong Guan mini-EV and other models'' hot sales, driving the lithium iron phosphate market rebound. The expansion of the cathode material industry will lead to an increase in demand for battery metal resources and increase China''s external dependence on resources. It is estimated that in 2020, power
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Construction of battery charge state prediction model for new energy
New energy vehicles have made considerable achievements after nearly a decade of development, but the range and safety of automobile battery packs are still a difficult problem for the industry to overcome. The charge state of the battery can reflect the charging and discharging situation and battery health, so it is significant to construct an accurate prediction
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Design of Remote Monitoring System for New Energy
This paper designs a new remote monitoring system for new energy vehicles based on data acquisition and transmission, hoping to make up for the shortcomings of the existing system.
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Overview of Chinese new energy vehicle industry and policy
In 2013, the Notice of the State Council on Issuing the Development Plan for Energy Conservation and New Energy Vehicle Industry (2012–2020) required the implementation of average fuel consumption management for passenger car enterprises, gradually reducing the average fuel consumption of China''s passenger car products, and achieving the goal of
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Exploring the technology changes of new energy vehicles in
Highlights •Uncovering the evolution of the new energy vehicle industry.•Predicting the technology trends of the new energy vehicle industry.•Using integrated methods of Latent Dirichlet Allocation... AbstractIn the sustainable development context, the automotive industry is shifting towards new energy vehicles (NEVs) to reduce carbon
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State-of-the-art Power Battery Cooling Technologies for New Energy Vehicles
The research on power battery cooling technology of new energy vehicles is conducive to promoting the development of new energy vehicle industry. Discover the world''s research 25+ million members
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(PDF) Overview of Fault Diagnosis in New Energy Vehicle Power Battery
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 become a
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DGNet: An Adaptive Lightweight Defect Detection Model for New
Abstract: 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
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Battery Thermal Management and Health State Assessment of New Energy
Section 4 combines the backpropagation neural network (BPNN) was combined with adaptive genetic algorithm (AGA) to establish a nonlinear model between the health state indices and battery capacity of the power battery of new energy vehicles, and applies the model to estimate the health state of the battery. Finally, experimental results were given, which verify
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Characteristics and Trends of Research on New Energy Vehicle
In order to satisfy the increasing energy demand and deal with the environmental problem caused by the conventional energy vehicle; the new energy vehicle (NEV), especially the electric vehicle (EV), has attracted increasing attention and the corresponding research has developed rapidly in recent years. The electric vehicle requires a battery with high energy density and frequent
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A Perspective on the Battery Value Chain and the Future of Battery
1 Introduction. Lithium-ion batteries (LIBs) have a successful commercial history of more than 30 years. Although the initial market penetration of LIBs in the nineties
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GitHub
Improve range, performance, and battery life by designing a battery pack considering a high-fidelity model and correlating the results with relevant theory. Designing an energy-efficient
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A Review on Battery Thermal Management for New Energy Vehicles
Lithium-ion batteries (LIBs) with relatively high energy density and power density are considered an important energy source for new energy vehicles (NEVs).
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DCS-YOLO: Defect detection model for new energy vehicle battery
To enhance the performance of deep learning-based defect detection models for new energy vehicle battery current collectors, this paper designs inspiration from existing literature and designs a defect detection model based on deformable convolution and attention
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Modeling and Simulation of Battery-powered Electric Vehicle on
The model of BEV consists of not only the main power components such as a motor, an inverter and a battery, but also includes a driver, a controller and vehicle dynamics. In the model, a simple vehicle model based on N ewto-nian mechanics is constructed and it is possible to simulate the vehicle running by a motor using electricity obtained from a battery as
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(PDF) Battery Swapping of New Energy Vehicles
The battery swapping mode is one of the important ways of energy supply for new energy vehicles, which can effectively solve the pain points of slow and fast charging methods, alleviate the impact
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Design of Battery Condition Evaluation Algorithm for New Energy
The findings of this study contribute to the advancement of deep learning algorithms tailored for NEV battery condition assessment. The LSTM model augmented with an attention mechanism
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Optimized Design Solutions for Battery and Frame Performance
In another study, the structure of new energy vehicle battery pack boxes was optimized. A battery pack model was established, followed by finite element static analysis and shape optimization. Transforming the engineering problem into a mathematical problem involved setting design variables, boundary conditions, and objectives. Using optimization software and high
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Autoencoder-Enhanced Regularized Prototypical Network for New
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
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China''s Development on New Energy Vehicle Battery Industry: Based
The development of lithium-ion batteries has played a major role in this reduction because it has allowed the substitution of fossil fuels by electric energy as a fuel source [1].
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Intelligent New Energy Vehicle Battery Swap Scheme based on
This paper proposes a new energy vehicle monitoring platform based on blockchain technology, which can manage the whole process life cycle of new energy batteries
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LNEE 123
In 2008, new energy vehicles have been in full bloom in our country. 2008 years is China''s "new energy vehicles to start the reign of an emperor". On July 1, 2009, management rules of producing access to new energy vehicles are coming into effect officially. 2 Analyze of the Present Situation, and Overlook the Prospect
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How can new energy vehicles become qualified relays from the
Analyzing the feasibility of fuel vehicle transition will be conducive to the realization of the carbon neutralization goal. However, at present, there are few studies specifically aimed at the transition of fuel vehicles. Therefore, this study first analyzed the necessity for the transition of fuel vehicles and then used CiteSpace to analyze 2081 articles in
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Spatial distribution patterns and influencing factors of China''s new
New energy vehicles (NEVs) have been recognized as a sustainable eco-innovation to address China''s energy and environment problems. As a strategically emerging industry, China''s NEV manufacturing industry has been prioritized by governments and manufacturers, significantly impacting its spatial distribution pattern and stimulating the goals
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Collaborative Business Models for the Second-Life Utilization of New
New energy vehicle (NEV) power batteries are experiencing a significant "retirement wave", making second-life utilization (SLU) a crucial strategy to extend their lifespan and maximize their inherent value. This study focuses on prominent enterprises in China''s SLU sector, including BAIC Group, BYD, China Tower, and Zhongtian Hongli. Employing a multi
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battery-electric-vehicles · GitHub Topics · GitHub
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