A review of the development trend of adaptive cruise control for ecological driving

2021 ◽  
pp. 095440702110490
Author(s):  
Chaofeng Pan ◽  
Aibao Huang ◽  
Long Chen ◽  
Yingfeng Cai ◽  
Liao Chen ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Adaptive Cruise Control ◽  
Combustion Engine ◽  
Research Direction ◽  
Development Trend ◽  
Future Research ◽  
Cruise Control ◽  
Development Trends ◽  
Driving Experience ◽  
The Development Trend

Adaptive cruise control (ACC) is an important part of the advanced driver assistance system (ADAS), which aims to improve the user’s driving experience by reducing their manual operation and optimizing the vehicles’ performance such as economy, comfort, and safety. With the gradual maturity of research on ACC, it presents various development trends. Among them, ecological adaptive cruise control (EACC) has great development potential in reducing emissions and improving driving range in internal combustion engine vehicles (ICEVs), hybrid electric vehicles (HEVs), and electric vehicles (EVs). This paper firstly reviews the components of classic ACC. Then the main design methods, research hotspots, and development trends of EACC for HEVs and EVs are introduced in detail. This paper not only provides a comprehensive analysis of EACC design and application in different type of vehicles but also forecasts the future research direction and trend, expecting to promote the further development of EACC efficiently.

Recent Reviews on Machine Vision-Based 3D Reconstruction

2021 ◽  
Vol 14 ◽  
Author(s):  
Hongxin Zhang ◽  
Shaowei Ma ◽  
Meng Li ◽  
Hanghang Jiang ◽  
Jiaming Li
Keyword(s):  
Machine Vision ◽  
3D Reconstruction ◽  
Autonomous Navigation ◽  
Robot Vision ◽  
Research Direction ◽  
Development Trend ◽  
Future Research ◽  
The Future ◽  
The Development Trend ◽  
Better Than

Background: In machine vision, the 3D reconstruction is widely used in medical system, autonomous navigation, aviation and remote sensing measurement, industrial automation and other fields, and the demand for reconstruction precision is significantly highlighted. Therefore, the 3D reconstruction is of great research value and will be an important research direction in the future. Objective: By reviewing the latest development and patent of 3D reconstruction, this paper provides references to researchers in related fields. Methods: Machine vision-based 3D reconstruction patents and literatures were analyzed from the aspects of the algorithm, innovation and application. Among them, there are more than 30 patents and nearly 30 literatures in the past ten years. Results: Researches on machine vision-based 3D reconstruction in recent 10 years are reviewed, and the typical characteristics were concluded. The main problems in its development were analyzed, the development trend was foreseen, and the current and future research on the productions and patents related to machine vision-based 3D reconstruction is discussed. Conclusion: The reconstruction result of binocular vision and multi-vision is better than monocular vision in most cases. Current researches of 3D reconstruction focus on robot vision navigation, intelligent vehicle environment sensing system and virtual reality. The aspects that need to be improved in the future include: improving robustness, reducing computational complexity, and reducing operating equipment requirements, and so on. Furthermore, more patents on machine vision-based 3D reconstruction also should be invented.

Conception of Innovation of the Electric Vehicles

2012 ◽  
Vol 215-216 ◽  
pp. 493-496
Author(s):  
Jia Qi Zhang ◽  
Fang Hua Zhao ◽  
Jin Yuan Huang
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Research Direction ◽  
Development Trend ◽  
The Novel ◽  
Late Model ◽  
The Development Trend

Late-model vehicles inevitably will replace the automobiles due to the non-renewable characteristic of the automobile fuel. This paper has analysed the development trend of the novel vehicles that are driven by wheel hub motor, and proposed the necessity and the research direction of the single electric vehicle.

A review on powertrain subsystems and charging technology in battery electric vehicles: Current and future trends

2021 ◽  
pp. 095440702110259
Author(s):  
Kunal Wagh ◽  
Pankaj Dhatrak
Keyword(s):  
Electric Vehicles ◽  
Combustion Engine ◽  
Future Research ◽  
Future Trends ◽  
Road Transportation ◽  
Market Prices ◽  
Local Pollution ◽  
Battery Electric Vehicles ◽  
Global Emission ◽  
Battery Technology

The transport industry is a major contributor to both local pollution and greenhouse gas emissions (GHGs). The key challenge today is to mitigate the adverse impacts on the environment caused by road transportation. The volatile market prices and diminishing supplies of fuel have led to an unprecedented interest in battery electric vehicles (BEVs). In addition, improvements in motor efficiencies and significant advances in battery technology have made it easier for BEVs to compete with internal combustion engine (ICE) vehicles. This paper describes and assesses the latest technologies in different elements of the BEV: powertrain architectures, propulsion and regeneration systems, energy storage systems and charging techniques. The current and future trends of these technologies have been reviewed in detail. Finally, the key issue of electric vehicle component recycling (battery, motor and power electronics) has been discussed. Global emission regulations are pushing the industry towards zero or ultra-low emission vehicles. Thus, by 2025, most cars must have a considerable level of powertrain electrification. As the market share of electric vehicles increases, clear trends have emerged in the development of powertrain systems. However, some significant barriers must be overcome before appreciable market penetration can be achieved. The objective of the current study is to review and provide a complete picture of the current BEV technology and a framework to assist future research in the sector.

Recent Patents on Bearing Pre-tightening

2021 ◽  
Vol 15 ◽  
Author(s):  
Yanling Zhao ◽  
Jiashuo Zhang
Keyword(s):  
Research Direction ◽  
Development Trend ◽  
Machining Accuracy ◽  
Processing Efficiency ◽  
Tightening Force ◽  
The Future ◽  
Processing Accuracy ◽  
And Function ◽  
The Development Trend ◽  
Accuracy Speed

Background: Bearing has been widely used in automotive, aerospace, electronics industry, and other fields.Its pre-tightening technology is one of the most critical technologies. It has an important influence on the accuracy, speed, stiffness, and temperature rise of the spindle. Proper pre-tightening force can eliminate bearing clearance and improve machining accuracy and efficiency of machine tools. Therefore, the development trend of bearing pre-tightening mechanism has been paid more and more attention. Objective: In order to improve the processing efficiency and processing accuracy of the bearing system, the structure and function of the bearing pre-tensioning device are continuously enhanced. Methods: This paper retraces various current representative patents relative to the mechanism of bearing pre-tightening. Results: Through the investigation of several patents of bearing pre-tightening devices, the principles and effects of different bearing pre-tightening devices are classified and reviewed. Besides, the future development trend of bearing pre-tightening devices is discussed. Conclusion: The optimization of the bearing pre-tightening device is conducive to improving processing efficiency and quality. A controllable pre-tightening force is the research direction, and more related patents will be invented in the future.

Research Progress of Bionic Water Strider Robot

2021 ◽  
Vol 14 ◽  
Author(s):  
Jingang Jiang ◽  
Qiyun Tan ◽  
Xiaoyang Yu ◽  
Dianhao Wu ◽  
Liang Yao
Keyword(s):  
Water Surface ◽  
Visual Analysis ◽  
Development Trend ◽  
Research Progress ◽  
Future Research ◽  
Water Strider ◽  
Quality Of Water ◽  
The Development Trend ◽  
Development Prospects

Background: As a kind of bionic robot, the bionic water strider robot can achieve sliding, jumping and other movements on the water surface, with advantages of small size, light weight, flexible movements and other characteristics. It can detect the quality of water, investigate and search the water surface and perform some other operations. It has a very broad range of applications and development prospects. Therefore, the trend of biomimetic water strider robot is catching more and more attention. Objective: To provide an overview of the bionic water strider robot and introduce their classification, characteristics and development. Methods: This paper reviews various productions and patents related to the bionic water strider robot from 2003 to the present. The sources of the papers include: CNKI, Wanfang, Patent publication announcement in China, Web of Science, IEEE, Elsevier, Springer-Verlag, Espacenet, FPO IP Research amp; Communities. To obtain the results, endnote is used for documentation and citesapce was used for visual analysis. Results: The mechanical structure of existing bionic water strider robots is analyzed and compared. The typical characteristics are concluded. The main problems in its development are analyzed and the development trend is foreseen. The current and future research of the productions and patents on the bionic water strider robot are discussed. Conclusion: The optimization and development of the structure of the bionic water strider robot and the development of associated components help to improve the simulation of the water strider's motion and to perform better on task in a complex water surface environment. In the future, with the deepening and improvement of the research, the bionic water strider robot will develop towards miniaturization, intelligence and integration.

scholarly journals Real-Time Co-optimization of Vehicle Route and Speed Using Generic Algorithm for Improved Fuel Economy

2019 ◽  
Vol 141 (03) ◽  
pp. S08-S15
Author(s):  
Guoming G. Zhu ◽  
Chengsheng Miao
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuel Economy ◽  
Autonomous Vehicles ◽  
Hybrid Electric Vehicle ◽  
High Efficiency ◽  
Combustion Engine ◽  
Cruise Control ◽  
Vehicle Performance ◽  
Hybrid Electric

Making future vehicles intelligent with improved fuel economy and satisfactory emissions are the main drivers for current vehicle research and development. The connected and autonomous vehicles still need years or decades to be widely used in practice. However, some advanced technologies have been developed and deployed for the conventional vehicles to improve the vehicle performance and safety, such as adaptive cruise control (ACC), automatic parking, automatic lane keeping, active safety, super cruise, and so on. On the other hand, the vehicle propulsion system technologies, such as clean and high efficiency combustion, hybrid electric vehicle (HEV), and electric vehicle, are continuously advancing to improve fuel economy with satisfactory emissions for traditional internal combustion engine powered and hybrid electric vehicles or to increase cruise range for electric vehicles.

Analysis on De-Icing Methods for 4-Bundle 500kV Transmission Lines

2013 ◽  
Vol 694-697 ◽  
pp. 790-794
Author(s):  
Shun Xin Liu ◽  
You Han Guo
Keyword(s):  
Transmission Line ◽  
South China ◽  
Transmission Lines ◽  
Research Direction ◽  
Development Trend ◽  
Ice Melting ◽  
Power Networks ◽  
Advantages And Disadvantages ◽  
Prevention And Treatment ◽  
The Development Trend

In view of the massive transmission lines suffered disaster of ice coating at the beginning of 2008 in south China. In this paper, several typical schemes for the prevention and treatment of ice coating occurred in power networks home and abroad are analyzed. Common melting ice methods can be divided into three kinds: thermal ice-melting, mechanical de-icing and new de-icing. This paper describes a 500 kV transmission line and analyses each of these measures briefly. At the same time, the advantages and disadvantages of various measures and their applications were summarized. At last, the development trend and the research direction were pointed out．

Service-Oriented Manufacturing: the Development Trend of Chinese Manufacturing Industry

2011 ◽  
Vol 201-203 ◽  
pp. 388-392 ◽  
Author(s):  
Jian Liang Lin ◽  
Rui Miao ◽  
Zhi Bin Jiang ◽  
Li Ya Wang
Keyword(s):  
Manufacturing Industry ◽  
Development Trend ◽  
Future Research ◽  
Advanced Manufacturing ◽  
Product System ◽  
Service Oriented ◽  
Chinese Manufacturing Industry ◽  
The Development Trend

The service-oriented manufacturing is a new advanced manufacturing model, which combines service and manufacturing intensively. Firstly, this paper elaborates the origin of service-oriented manufacturing and the concept of “product system”. Then, it analyzes the characters and value of service-oriented manufacturing. At last, several key directions of future research in service-oriented manufacturing are proposed.

scholarly journals Review on the Application of Metalearning in Artificial Intelligence

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Pengfei Ma ◽  
Zunqian Zhang ◽  
Jiahao Wang ◽  
Wei Zhang ◽  
Jiajia Liu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Reinforcement Learning ◽  
Research Direction ◽  
Development Trend ◽  
Research Process ◽  
Learning Ability ◽  
Novel Method ◽  
Accuracy Of Prediction ◽  
The Development Trend

In recent years, artificial intelligence supported by big data has gradually become more dependent on deep reinforcement learning. However, the application of deep reinforcement learning in artificial intelligence is limited by prior knowledge and model selection, which further affects the efficiency and accuracy of prediction, and also fails to realize the learning ability of autonomous learning and prediction. Metalearning came into being because of this. Through learning the information metaknowledge, the ability to autonomously judge and select the appropriate model can be formed, and the parameters can be adjusted independently to achieve further optimization. It is a novel method to solve big data problems in the current neural network model, and it adapts to the development trend of artificial intelligence. This article first briefly introduces the research process and basic theory of metalearning and discusses the differences between metalearning and machine learning and the research direction of metalearning in big data. Then, four typical applications of metalearning in the field of artificial intelligence are summarized: few-shot learning, robot learning, unsupervised learning, and intelligent medicine. Then, the challenges and solutions of metalearning are analyzed. Finally, a systematic summary of the full text is made, and the future development prospect of this field is assessed.

Sign in / Sign up

Export Citation Format

Share Document