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.
Problem 2 Vehicle Health Assessment Based on the Data of New Energy Vehicle Operation
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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