请参赛者认真阅读本声明，您通过网络页面点击确认完成注册，即表示您同意遵守以下参赛条件，如参赛者在比赛过程中有任何违反本声明的行为，组委会有权取消其参赛资格。本声明自您注册之时起或自您使用的行为发生之时起（以时间在先者为准）生效。本声明最终解释权归大赛组委会所有。
一、大赛服务使用规范
1.1本次竞赛分为学生组和社会组两个组别，参赛者实名认证方可进行比赛：学生组参赛者须填写个人信息、学校信息、专业信息等，并上传身份证扫描件及有效的学生证扫描件进行实名认证；社会组参赛者须填写个人信息、公司信息、职位信息等，并上传身份证扫描件、加盖公司公章的参赛身份文件扫描件、公司营业执照扫描件进行实名认证。参赛者承诺实际参赛者将与报名信息保持一致，决赛将进行现场身份确认。
1.2参赛者仅可通过账户（登录名+密码）登录的方式使用大赛服务。主办方仅根据参赛者的登录账户来确认使用大赛服务的主体身份。开通大赛服务使用权限的账户仅限于参赛者自身使用。
1.3参赛者声明并保证其使用大赛服务过程中应遵守如下要求，如主办方对参赛者使用大赛的部分服务有额外要求的，参赛者应同时遵守上述要求或在达到上述要求后方可使用该等服务：
（1）不模仿、修改、翻译、改编、出借、出售、转许可、在信息网络上传播或转让大赛服务，也不得逆向工程、反汇编、反编译、分解拆卸或试图以其他方式发现大赛服务的源代码；
（2）不发送、上传和储存带有病毒的、蠕虫的、木马和其他有害内容的计算机代码、文件、脚本和程序；
（3）不利用主办方提供的大赛服务散发大量不受欢迎的或者未经请求的电子邮件、电子广告或包含反动、色情等有害信息的内容；
（4）不利用主办方提供的资源和服务上传、下载、储存、发布任何违法违规、侵权、淫秽、色情、不道德、欺诈、诽谤、非法恐吓或非法骚扰等信息或内容，不为他人发布该等信息提供任何便利（包括但不限于设置URL、BANNER链接等）。
1.4参赛者同意，主办方保留在任何时候自行决定对大赛的产品内容、数据内容、功能模块等随时进行增加、删除、修改、升级、转移、暂停、终止的权利；或因定期、不定期的维护，及/或国家法律法规、政策，大赛数据披露政策等的调整而暂缓提供的权利。主办方进一步保留在大赛开发新的服务、模块、功能或其他语种服务等的权利。上述所有变更的服务、模块、功能的提供，除非主办方另有说明，否则仍适用本声明。
二、知识产权
2.1参赛者在此承诺不会利用大赛成果从事任何商业行为或获取任何商业利益；否则，主办方保留向参赛者追索及主张相关权利的权利。
2.2参赛者同意授权主办方可以在本次竞赛期间及之后任何时间，免费使用参赛作品的项目简介在包括但不限于网站、平面杂志等媒体进行公开宣传的权利。
2.3高校参赛者同意授权主办方将参赛作品推荐给其他全国大型赛事参加二次评审的权利。
2.4参赛者在此不可撤销地同意授予主办方及其关联公司在赛后一年内、全球范围、不受限制地免费使用上述所有研究成果的权利，包括合作研究、商业用途等；因主办方及其关联公司使用上述研究成果所产生的新成果，主办方及其关联公司对此享有完整的知识产权。如主办方及其关联公司有意取得上述的参赛者的研究成果的完整知识产权的，参赛者同意主办方在同等条件下享有优先受让权，相关转让事宜由双方另行协商确定。
2.5参赛者一经提交作品即代表完全接受大赛活动所有条款。
三、保密
3.1保密信息的内容包括但不限于：
（1）主办方及其关联公司的运营数据、交易数据、参赛者信息（如参赛者ID、参赛者列表、参赛者关系）、技术资料、财务信息、经营渠道以及方案、软件、程序、手册等；
（2）主办方及其关联公司从第三方处获得但应承担保密责任的信息；
（3）任何其他机密或专有信息；
（4）主办方或第三方经当事人授权或同意或已采取合理措施，在大赛提供或披露的基础数据；
（5）其他通常不为主办方及其关联公司以外的人所知晓、未在公共领域被正式公开的信息。
参赛者同意对上述保密信息严格保密。
3.2责任免除：主办方无须因参赛者对保密信息的使用行为承担任何责任。
3.3保密信息的使用及保护：
（1）参赛者应承诺按照大赛服务项目的指定要求在指定区域、指定场景内使用保密信息，参赛者不得以不符合大赛要求的方式获取、使用保密信息；严禁参赛者利用上述内容从事任何本协议约定之外的目的。
3.4保密期限：参赛者对于保密信息的保密义务于本声明生效之日起至主办方或其关联公司或第三方公司对外公开此等保密信息为止。
四、违约责任
4.1本次参赛者的报名成员必须如实参加竞赛，不得由他人替代，如发现替代或类似行为，取消参赛和获奖资格。
4.2如果参赛者的作品获得或申请了任何专利，参赛者应在决赛现场的认证材料中提交相关文件明确告知，否则主办方有权取消其所获取的奖项。
4.3参赛者应明确告知其参赛作品是否参加过其他竞赛，以及在其他竞赛中的获奖情况，否则主办方有权取消其所获取的奖项。
4.4对于上传、开发、运行、管理、保存及维护算法、模型、数据，参赛者同意独立承担所有的风险和后果。
4.5参赛者保证其作品为其原创作品，且内容符合中华人民共和国的有关法律。该参赛作品将不会侵犯任何第三方之知识产权、所有权（包括占有权、使用权、收益权、处分权。以下同），如不享有该作品的所有权等相关权利或该作品是剽窃、抄袭他人作品而获得的，由此所引起的一切后果及法律责任由参赛者自己承担。
五、免责
5.1大赛将在现有技术的基础上尽最大努力提供相应的安全措施以保障服务安全和正常运行。但由于可能存在的计算机病毒、网络通讯故障、系统维护等方面的因素，以及参赛者操作不当、或参赛者通过非主办方授权的方式使用大赛服务，以及可能发生的不可抗力事件，主办方不对因上述任一情况而导致的任何损害赔偿承担责任。
2023-06-25
Dear friends:
The Digital Vehicle Competition is a college mass entrepreneurship and innovation event hosted by the National Big Data Alliance of New Energy Vehicles. The competition is guided by the Science and Technology Innovation Department of China Association for Science and Technology and the School Planning, Construction and Development Center of the Ministry of Education. It has received strong support from the Intelligent Manufacturing Alliance of CAST Member Societies and the China SAE. The Beijing Yiwei New Energy Vehicle Big Data Application Technology Research Center, the University Maker Workshop and Daomengkongjian host the event together.
The competition has been successfully held for five times since its inception in 2018, and this year is the sixth competition. It relies on the real-time operation data of huge amount of new energy vehicles from OEMs. By mining data value and exploring innovative applications, it tends to discover and train a group of excellent talents in this field and provides support for students with innovative and entrepreneurial ideas.
The purpose of the competition is to find, cultivate and deliver high-end and scarce talents of big data on new energy vehicles, promote the coordinated development of industry, university in research and application, enhance the awareness and ability of college students to innovate, create and start a business, speed up the talent training in the field of national intelligent manufacturing, and serve the national "mass entrepreneurship and innovation" strategy and the innovative development of the integration of industry and education in colleges and universities.
The 2023 Digital Vehicle Competition has officially started on April 28th. The Organizing Committee of the competition sincerely invites you and your school to organize students of relevant majors to participate in this competition, to jointly promote the development of new energy vehicle big data research. We sincerely wish you and your school to achieve good results in the competition!
01
Competition Notice
The State Council initiates "Mass Entrepreneurship and Innovation" strategy and the Ministry of Education also released "AI Innovation Action Plan for Colleges and Universities" TJ [2018] No. 3 Document in which encourage college students to innovate and start businesses, various fields to integrate with big data and promote the development of various fields through big data technology. Thus, the National Big Data Alliance for New Energy Vehicles, relying on a large amount of real-time operation data of new energy vehicles, has hosted the Digital Vehicle Competition since 2018.
After more than five years of development, the Digital Vehicle Competition has promoted the training of big data talents for new energy vehicles and delivered high-end talents with big data innovation ability and practical ability to the industry. The competition has become a highly influential competition of basic disciplines and applied science and technology across the country.
The sixth competition in 2023 will be officially launched from the issuance of this notice. The relevant matters are notified as follows:
1. Purpose of the Competition
The Digital Vehicle Competition focuses on the digital economy, industrial applications, aiming to discover and cultivate high-end but short-supply talents. The competition opens the innovative industrial chain of schools, scientific researches, enterprises and products, promoting the coordinated development of industries, universities, researches and applications, enhancing the awareness and ability of college students to innovate, create and start businesses, and serve the national "mass entrepreneurship and innovation" strategy and the innovative development of the integration of industry and education in colleges and universities.
Relying on the existing massive real-time operation data of new energy vehicles, the competition focuses on data algorithm innovation, data analysis and application, finds and trains a group of excellent talents of new energy vehicles by mining data value and exploring innovative applications. It provides support for students with innovative and entrepreneurial ideas. At the same time, with taking the vehicle industry as a pilot, we will gradually expand to machinery, agricultural machinery, textile, electronics, electrical appliances, instrumentation and other industries through the summary of the event to speed up the rapid training of applied talents in the industrial field.
2. Organization
Guiding units: Science and Technology Innovation Department of China Association for Science and Technology, School Planning and Construction Development Center of the Ministry of Education
Sponsor: National Big Data Alliance of New Energy Vehicles
Support units: Intelligent Manufacturing Alliance of CAST Member Societies, China Society of Automotive Engineers
Undertakers: The Beijing Yiwei New Energy Vehicle Big Data Application Technology Research Center, University Maker Workshop, Daomengkongjian
3. Organization Mode
The competition is divided into two groups: innovation group and entrepreneurship group. Each group adopts the competition system of preliminary, semi-finals and national finals. The preliminary and semi-final are screened online by the expert evaluation committee, and the participating teams are selected according to the quota of the organizing committee to enter the finals. The national finals of the competition will be held offline.
The registration and participate in the competition are on the official website of the competition（http://www.ncbdc.top/ ）. There is no registration fee for the competition. After registration on the official website, contestants should use real name for certification, and then enter the competition after passing the examination.
4. Participants
The participants are students from ordinary colleges and universities in China and abroad (including junior college, undergraduate, graduate and above) and social enterprises that meet the entry qualifications. You can participate by teams (each team can have up to 5 players, at least one undergraduate student) or individuals.
5. Time and Place Arrangement
The first stage: from April to August, competition registration and publicity
The competition starts online registration, announces the competition questions, and carries out work preparation and college publicity activities;
The second stage: from August to October, the preliminary and semi-final of the competition
The competition will hold online preliminary and semi-final;
The third stage: in November, the off-line final of the competition
Organizing the national finals and hold the award ceremony; The specific time and place will be notified separately.
6. Contact Information
Mailbox: ncbdc@ndanev.org
Tel：010-68949920
02 Competition Bonus
In order to fully mobilize the enthusiasm of college students to participate, encourage teamwork and strive for good results, the organizing committee of the competition has provided rich awards and bonuses for the participating teams. Now, we announce the award settings of the competition in 2023:
03 Problems
Innovation Group
Background Introduction
With the increasing use of new energy vehicles and the increasing complexity of user operating conditions, accurate estimation of the health status and remaining life of power batteries is particularly important for precising vehicle control, preventing abuse of power battery, and reasonable arrangement of tiered utilization. However, the accuracy and robustness of current methods for estimating the health status and remaining life of power batteries can not meet the expected goals. Therefore, there is an urgent need for a data-driven estimation method for the health status and remaining life of power batteries.
Problem Description
Participants use the data based on the national standard GB/T 32960-2016 to evaluate the health and predict the remaining life of the power batteries of the online running vehicles, form the processing logic of the original data cleaning, segmentation, reorganization, etc., establishing the remaining life prediction model of the evaluation and completing the training, outputting the battery health evaluation scores and the remaining life results.
Background Introduction
With the continuous increase in the number of new energy vehicles, the technical development direction has gradually changed from the rough technology to the refined technology. The final power source of new energy vehicles, especially pure electric vehicles, is electric energy. The health status of the whole vehicle affects not only the economy and power of the whole vehicle, but also the attendance efficiency of the vehicle, which can ultimately be transformed into direct economic benefits, so it is necessary to evaluate the health status from the vehicle level.
Problem Description
New energy pure electric buses include electric components such as motors, batteries, electronic controls, and electrical accessories. Participants need to consider factors such as battery attenuation, power transmission efficiency, mechanical transmission efficiency, failure rate, and component temperature based on the operational data of each key component, and set corresponding weight coefficients based on the relative importance of each component to the overall health status of the vehicle during operation. A comprehensive evaluation system for the overall health status of the vehicle is constructed based on weight coefficients, which can diagnose the current health status of the vehicle, provide warnings to the driver and the monitoring background of the bus company, stop losses in advance, and reduce operating costs.
Entrepreneurial Group
The questions of the entrepreneurial group focus on the hot and painful issues related to electric cars. Contestants can start from the following directions, and creatively put forward corresponding solutions and technological innovation solutions around the problems existing in the industry or the possible future development direction. The purpose is to encourage the integrated development of industry, university and research and the practical application of the transformation of university achievements to realize the research of universities and promote the development of enterprises, and enterprises further react on the research of university achievements.
The directions of the entrepreneurial group include:
1. Optimization of Power Resources Based on New Energy Commuting Vehicles
With the continuous increase of new energy vehicles, the optimization of urban power supply and power resource allocation is increasingly valued, and peak charging has become an effective way. At the same time, there is also a special type of vehicle - pure electric city commuting vehicles, which usually only run on urban roads during commuting, with most of the remaining time remaining idle, and their electricity consumption only accounts for 30% to 40% of the total battery power. How to feed back the remaining electricity to the grid or other vehicles in order to achieve maximum resource utilization, which has become a new and promising resource allocation solution. Participants can combine the power demands of new energy pure electric vehicles in a city and the numbers and surplus power of pure electric commuter vehicles to establish a scheme to optimize the allocation of resources (electric energy) through big data analysis, making full use of the surplus power of pure electric commuter vehicles to meet the power demand of new energy vehicles in the city, which finally can improve electrical efficiency and reduce power consumption costs;
2. Recommended Location for Offline Experience Stores of New Energy Vehicle Brands
With the increasing competition in the new energy vehicle market, major brands have begun to invest more in brand promotion, hoping to gain brand advantages among potential customers. How to accurately evaluate suitable site selection has become a problem that need to be solved when car companies build experience stores. In addition to forming scale advantages in commercial centers and other brands, can we find a differentiated route that can avoid the problem of fixed potential customers and align with our own brand positioning? It is assumed that participants can use any relevant data of vehicle-to-everything, map or research. It is required to be able to design a set of solutions and analysis models to recommend suitable store locations for car companies' brand positioning;
3. New Energy Vehicle Related Fields
Design innovation of big data in battery performance;
Application innovation of big data in intelligent manufacturing, intelligent factory, intelligent workshop, etc;
The application of big data in auto product marketing;
Automobile big data in power battery degradation processing and cascade utilization;
Application of big data in electrification of construction machinery, electric ships, electric aircraft, special equipment, etc;
The application of big data in intelligent driving safety;
The application of automobile big data in the carbon-carbon conversion mechanism;
Evaluation system for after-sales and second-hand transactions of new energy vehicles;
Innovation in after-sales maintenance of new energy vehicles;
Integrating new energy vehicles with various industries;
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