一. 会议简介
由西安交通大学和珠海科技学院联合主办，CoreShare科享学术交流中心协办的2024年第二届电动车与车辆工程国际会议（CEVVE 2024）将于2024年12月20日至22日在中国珠海举行。
电动汽车作为未来汽车发展的重要方向，协同智能化、网联化发展，正逐步促进我国汽车产业的转型升级。本次会议的目的是为研究人员、科学家、学者和工程师提供一个平台和机会，通过讨论实际问题、遇到的挑战以及采取的解决方案，分享交流他们的研究经验和新想法，从而促进他们在电动车和车辆工程领域的研究进展。
CEVVE 2024热忱欢迎从事相关技术研究的专家学者踊跃投稿并参加本次会议！
二. 专题征稿
专题一
Dynamics and Control of
Distributed-drive Electric Vehicles
Special Session Information:
Dynamics and Control play important roles in the development of distributed-drive electric vehicles (DDEVs). With the advent of featured emerging technologies, such as big data, cloud computation and artificial intelligence, the distributed-drive electric vehicle dynamics control are faced with more opportunities and challenges. Therefore, this special session will focus on but not limited to dynamics analysis and motion control of distributed-drive electric vehicles, such as maneuverability control, energy efficiency control, driver assistance control, trajectory planning and tracking control, connected electrified vehicle dynamics control, so as to promote the development of the distributed-drive electric vehicles
Special Session Keywords:
Distributed driven electric vehicle; Dynamics control; Maneuverability control; Energy efficiency control; Driver assistance control
专题主席
李韶华
石家庄铁道大学
张利鹏
燕山大学
赵晶
东北大学
专题二
Intelligent Vehicle Chassis
Design and Control
Special Session Information:
This session focuses on the latest developments in intelligent vehicle chassis design and control. It explores innovative chassis architectures and the integration of AI technologies with traditional vehicle dynamics to enhance automotive safety, efficiency, and performance. Experts in automotive engineering, robotics, and AI will discuss challenges, breakthroughs, and future directions in intelligent chassis systems. Attendees will learn about advanced methods and tools used in developing autonomous and semi-autonomous vehicles, emphasizing practical applications and theoretical foundations.
Special Session Keywords:
Autonomous driving; Vehicle dynamics; Distributed driving; Cooperative control; Skateboard chassis
专题主席
查云飞
福建理工大学
张志勇
长沙理工大学
专题三
Monitoring of Electric Vehicle
Batteries and Motors
Special Session Information:
The power battery and traction motor are the core systems of electric vehicles, and their health status directly affects the safety of both the vehicles and passengers. The vehicle health management system is capable of real-time monitoring of essential information data such as voltage, current, temperature, speed, and magnetic field of each component. In extreme scenarios, these data allow users to promptly identify potential hazards, avoiding catastrophic accidents such as battery thermal runaways and motor short circuits. In daily use, these data also provide insight into the performance status of various components, enabling users to schedule necessary maintenance work, such as battery capacity degradation, increased internal resistance, local demagnetization of motors, bearing wear, etc. At the same time, based on the accumulated data, manufacturers can actively formulate reasonable and personalized charging-discharging strategies to improve the endurance and driving performance of electric vehicles. Therefore, the full utilization of the status monitoring data of power batteries and traction motors is of great significance for the further advancement of electric vehicles.
Special Session Keywords:
State Monitoring; Model Estimation; Fault Detection; Testing Methods; Fault Diagnosis
专题主席
汪显博
浙江大学海南研究院
陶发展
河南科技大学
专题四
Research and Development
of Non-pneumatic Tire
Special Session Information:
Non-pneumatic tire (NPT) are leak free and tire burst free, thus eliminating the need for tire pressure monitoring and tire burst control, providing a "redundant" design for intelligent driving, especially unmanned driving. NPT without tire pressure maintenance can greatly reduce the cost of tire pressure maintenance for shared cars and new energy vehicles without spare tires. NPT have better grip and wear resistance than pneumatic tires of the same model, adapting to the characteristics of high torque and high curb weight of new energy vehicles. Non pneumatic tires have an open structure without tire pressure, which is easier to intelligentize and can assist in the field of intelligent autonomous driving.
In summary, NPT can assist in the electrification, intelligence, networking, and sharing development of the automotive industry. It has become the mainstream development direction of the tire industry and is known as the "third revolution" of the tire industry.
At present, leading tire companies such as Michelin have mass-produced NPT for passenger cars. However, the limitations of structure, materials, and molding processes in China have greatly limited the development of NPT, resulting in its current application being limited to low-speed vehicles. High performance NPT for high-speed or heavy-duty vehicles such as passenger cars and military vehicles are still in the conceptual stage of research and development.
This meeting will focus on introducing the latest progress of NPT, breaking through the technical bottleneck of NPT development, and promoting the industrialization of NPT.
Special Session Keywords:
Vehicle and tire dynamics; Structure design and optimization; Fiberglass composite materials; High temperature and fatigue resistant adhesive; Pouring and injection molding; Intelligent tire
专题主席
徐婷
季华实验室
周海超
江苏大学
专题五
Intelligent Management for
Advanced Power Battery
Special Session Information:
Lithium-ion batteries and fuel cells are widely used as the onboard energy storage in electric vehicles. The continuous improvement of battery/fuel cell design and management technology is pushing the power, economy, and driving range of electric vehicles to new heights and also sparks many novel and critical research topics. This special session aims to provide recent researches related to the advanced design and management for lithium-ion battery, fuel cell, etc., applied in electric vehicles.
Special Session Keywords:
Lithium-ion Battery; Fuel Cell; Battery Management; Thermal Management; Electric Vehicles; Energy Management
专题主席
陈泽宇
东北大学
武小花
西华大学
王亚楠
山东大学
专题六
Advancements in Electronic
Control Suspension Systems
Special Session Information:
With the rapid advancement of electric vehicles, the significance of electronic control suspension (ECS) has become increasingly apparent. ECS is a critical component within the vehicle chassis, enhancing ride quality, handling stability, and overall driving performance. The use of ECS enables precise and fast adjustment of suspension settings in real-time, optimizing vehicle dynamics and comfort based on varying road conditions and driving preferences. Moreover, the development of ECS introduces novel advantages while mitigating the limitations of traditional suspension systems. Typically, ECS can be classified into semi-active, active, and hybrid types, showcasing its versatility and adaptability.
Furthermore, significant advancements of ECS have been seen through integration with cutting-edge vehicular technologies, such as road information preview control, intelligent chassis integration design, and reinforcement learning algorithms. These innovations highlight the transformative potential of ECS in shaping the future of electric mobility.
It is with great pleasure that we extend an invitation to researchers, scholars, and engineers to participate in our conference session dedicated to advanced ECS technologies. This session aims to provide a collaborative platform for the exchange of research experiences and the sharing of new ideas to propel progress in this field. We welcome submissions of research papers covering all aspects of ECSs and relevant technologies to be presented at the 2nd International Conference on Electric Vehicle and Vehicle Engineering.
Special Session Keywords:
Vehicle Suspensions, Comfort Improvement, Vehicle Dynamics control, Vibration Control
专题主席
李攀硕
广东工业大学
宁东红
中国海洋大学
孙帅帅
中国科学技术大学
专题七
Intelligent Decision-Making, Resilient
Control and Trustworthy Testing for CAVs
Special Session Information:
Intelligent decision-making systems leverage machine learning and artificial intelligence technologies to analyze vast amounts of traffic data and environmental information in real-time, enabling optimal decisions in complex and dynamic traffic scenarios. Resilient control, through advanced control algorithms, ensures that vehicles maintain stable and safe driving behavior under various environmental conditions and unexpected situations. To validate the reliability of these systems, a series of advanced testing tools and theories are employed to simulate diverse real-world driving scenarios, enabling comprehensive fault detection and diagnosis, rigorous and reasonable testing, and evaluation to ensure the safety and stability of autonomous driving systems in practical applications.
Special Session Keywords:
Decision-Making, Vehicle Control, Testing Tools & Theory, Fault Detection & Diagnosis
专题主席
闵海根
长安大学
余荣杰
同济大学
黄海龙
香港理工大学
专题八
Advanced Thermal Management of
Electric Vehicles
Special Session Information:
Thermal management system (TMS) exerts a significant influence on the performance, driving range, safety, and user experience of electric vehicles (EVs). For the battery system, the TMS ensures that the batteries operate within the optimal temperature range, thereby safeguarding the operational safety, enhancing operational efficiency, and extending service life. In terms of the drive motors and power electronic control systems, the TMS maintains these components at appropriate temperatures that aims to minimize heat loss and improve energy conversion efficiency. In addition, the TMS adjusts the cabin temperature to provide a comfortable environment for passengers under extreme weather conditions. As EV technology continues to evolve, TMS are increasingly trending towards integration and intelligence. Leveraging advanced sensors, algorithms, and control technologies, these systems achieve efficient and precise thermal management. This session will focus on the latest research progress in TMSs for electric vehicles, including optimization design, system integration, fault analysis, intelligent control et al, with the aim of promoting the practical application and development of advanced thermal management technologies.
Special Session Keywords:
Thermal management system; System integration; Optimal design; Intelligent control; Thermal comfort
专题主席
徐俊
西安交通大学
郭喆晨
西安交通大学
专题九
Advanced Perception, Localization, and
Control for Intelligent and Connected Vehicles
Special Session Information:
This session aims to explore the cutting-edge advancements in perception, localization, and control systems driving the future of Intelligent and Connected Vehicles (ICVs). We explore both the cooperative aspects of ICVs, such as cooperative perception, localization, and control, as well as challenges faced by autonomous vehicles in general, including decision-making, path planning, and the integration of Vehicle-Road-Cloud systems. The session welcomes contributions from researchers and practitioners showcasing novel solutions, algorithms, and methodologies that enhance the safety, efficiency, and intelligence of ICVs and autonomous driving.
Special Session Keywords:
Intelligent Connected Vehicles, Safety-Critical Systems, Vehicle-Road-Cloud Collaboration, Cooperative Localization, Cooperative Control
专题主席
王广玮
贵州大学
赵津
贵州大学
三. 主旨报告
Prof. Constantinos Antoniou
Technical University of Munich, Germany
简介：Prof. Constantinos Antoniou 研究的领域是运输系统工程。他的研究主要集中在交通系统的建模和模拟、智能交通系统(ITS)、应用程序的校准和优化，以及行为经济学在交通、道路安全和可持续交通系统中的应用。他拥有希腊雅典国立技术大学的土木工程学位(1995年)，以及美国麻省理工学院的运输硕士学位(1997年)和运输系统博士学位(2004年)。他撰写了500多篇科学出版物，包括在国际同行评审期刊上发表的180多篇论文，在国际会议论文集上发表的270篇论文，三本书和30个章节。他是几个科学组织和委员会的成员，包括交通研究委员会和道路与交通研究协会(FGSV)。安托尼乌教授是《运输研究A部分:政策与实践》杂志的副主编，也是《IET智能运输系统》杂志的副主编，他还是许多国际杂志的编委，如《运输研究-C部分:新兴技术、事故分析与预防》和《智能运输系统杂志》。
Prof. Hongming Xu
Tsinghua University, China
University of Birmingham, UK
简介：徐宏明教授，能源与汽车工程教授，汽车技术研究中心主任。他是伯明翰凯斯汽车研究和教育中心的主任。他在捷豹路虎和福特汽车集团有6年的工作经验。他研究清洁道路车辆的燃料、推进和后处理技术之间的协同作用。他发表了450多篇论文(包括200多篇参考期刊论文和200多篇会议论文),涉及发动机流量、燃烧、排放、瞬态运行控制和混合动力系统开发，包括实验和建模研究。他目前的主要研究领域是基于人工智能的控制和优化的新燃料和电气化动力系统。
四. 组委会
国际咨询委员会
Bimal K. Bose (IEEE Life Fellow)---University of Tennessee, USA
Leszek Czarnecki (IEEE Life Fellow)---Louisiana State University, USA
Miguel A. Sanz-Bobi---Universidad Pontificia Comillas, Spain
Shamsodin Taheri---Université du Québec
大会主席
Pak Kin Wong---University of Macau ,China
Jun Xu --- Xi'an Jiaotong University, China
Hongming Xu--- Tsinghua University, China
大会协同主席
Zhenhai Gao---Jilin University, China
Chunhua Zheng --- SIAT, Chinese Academy of Sciences,
China
程序主席
Chao Huang---The Hong Kong Polytechnic University, China
Xin Xu---National University of Defense Technology, China
Pascal Lorenz---University of Haute-Alsace, France
财务主席
Wei Huang---Fuzhou University, China
出版主席
Mohan Lal Kolhe---University of Agder, Norway
Prodip K. Das---University of Edinburgh, UK
宣传主席
Jing Zhao---Northeastern University, China
五. 会议历史
2023年第一届电动车与车辆工程国际会议 (CEVVE 2023) 已于2023年11月10-12日在中国深圳顺利召开。
CEVVE 2023所有被录用且已注册的文章已成功出版并被 Ei 、 Scopus 和其他数据库进行检索。
出版社：IET Digital Library: IET Conference Proceedings
ISBN: 978-1-83724-021-0
出版链接:https://digital-library.theiet.org/content/conferences/cp86
六. 征稿信息
投稿方式
复制链接或扫码进行投稿：
https://cmt3.research.microsoft.com/CEVVE2024
* 投稿时请根据文章的主题勾选对应的专题，如均无符合您文章的专题，则勾选 'Others'。
重要日期
摘要投稿截止日期：2024年10月10日
全文投稿截止日期：2024年10月30日
会议时间：2024年12月20日-22日
投稿指南
1. 稿件必须为全英文稿件，图片、表格、公式中均不允许有中文出现。
2. 所有稿件应为原创且未公开见刊的，论文需要符合主题、论据充分、具备实用价值和创新性。
3. 投稿的文章由评审专家进行评估，评估内容包括原创性、技术或研究的内容和深度、会议主题相关性、贡献性和可读性。
4. 文章篇幅一般在5-12页之间，不少于5页，含公式图表等。
5. 作者可通过iThenticate或其他查询系统自费查重，重复率不得超过20%。
6. 若您的文章被录用，我们将以邮件形式通知您，您将收到以下文件：录用通知、审稿意见表、中文注册表。
注册价格
注册类型 | 早鸟注册 10.15之前 | 常规注册 | 现场报名 12.20 | |
全文 （含出版） 摘要 （仅报告） | 常规作者 | 3500CNY | 3800CNY | 4150CNY |
学生/委员会 | 3100CNY | 3500CNY | 3800CNY | |
IAEEEE会员 | 3300CNY | 3600CNY | 3950CNY | |
常规作者 | 2800CNY | 3100CNY | 3500CNY | |
学生/委员会 | 2500CNY | 2800CNY | 3100CNY | |
IAEEEE会员 | 2700CNY | 3000CNY | 3300CNY | |
七. 出版信息
所有被CEVVE 2024接收的论文将收录至会议数字论文集，并提交至Ei Compendex、 Scopus、Google Scholar 等主流数据库检索。优秀论文将被推荐至国际期刊上发表。
合作期刊
01
International Journal of Vehicle Systems Modelling and Testing (ISSN: 1745-6444)
Introduction:
IJVSMT provides an information resource for the scientific and engineering community working with different air, ground and water vehicles. Emphasis is placed on novel computational and testing techniques used by engineers and scientists.
02
Chinese Journal of Mechanical Engineering (IF: 4.6, JCR Q1)
SI title:
Special Issue on Active Sensing, Safety Risk Assessment, and Advanced Control for Intelligent Chassis Systems
Submission Deadline:
31 December 2024
03
IEEE Transactions on Intelligent Transportation Systems (IF: 7.9, JCR Q1)
SI title:
Recent Advances in Safety and Reliability for Transportation Cyber-Physical Systems (T-CPS)
Webpage:
https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Submission Deadline:
1 October 2024
04
International Journal of Control, Automation, and Systems (IF: 2.5, JCR Q2)
SI title:
Special Issue: Advancements in Safety-Critical Control for Autonomous Intelligent Systems
Submission Deadline:
31 December 2024
05
IET Intelligent Transport Systems (IF: 2.3, JCR Q2)
SI title:
Enhancing Safety in Connected Automated Vehicles (CAVs) for Mixed Traffic Environments
Submission Deadline:
31 October 2024
*了解更多合作期刊信息请访问：
https://www.cevve.org/si
八. 联系方式
Ms. Luna. C. Ko
会议官网: www.cevve.org
会议邮箱: inquiry@cevve.org
会议微信: 19982030932 / 02885586839
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