Invitation Letter for 2022 Digital Vehicle Competition

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 Academic Department of the Chinese Association for Science and Technology and the School Planning, Construction and Development Center of the Ministry of Education. It has received strong support from theIntelligent Manufacturing Alliance of CAST Member Societies and the China SAE. The Beijing Yiwei New Energy Vehicle Big Data Application Technology Research Center and the University Maker Workshop hosted the event.

The competition has been successfully held for four times since its inception in 2018, and this year is the fifth one. Relying on the operation data of more than 9 million new energy vehicles currently accessed by the National Supervision Platform of New Energy Vehicles. 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 2022 Digital Vehicle Competition has officially started on April 28th and the competition problems were released on June 30. 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 wishes you and your school to achieve good results in the competition!

 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 four 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 fifth competition in 2022 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 up the innovative industrial chain of schools, scientific researches, enterprises and products, promote the coordinated development of industry, university, research and application, enhance 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, so as to speed up the rapid training of applied talents in the industrial field.

2. Organization

Guiding units: Academic 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, the University Maker Workshop

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-finals 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 or individuals. Please read the competition guide on the official website  in detail and sign up to form a team as required.

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-finals of the competition

The competition will hold online preliminary and semi-finals;

The third stage: in early November, the off-line finals 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

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 thevehicle competition has provided rich awards and bonuses for the participating teams. Now, we announce the award settings of the competition in 2022:

Competition Problem

Innovation Group

Problem 1

Multi destination and multi vehicle type commuting vehicle path planning

Background Introduction

The commuting service team of the commuting service enterprise or large-scale enterprise provides unified pick-up and drop off services for employees. The commuting team first sets up multiple boarding points, and passengers can choose the nearest boarding and alighting station points (after selecting the station, it cannot be changed, or it can be changed uniformly on a regular basis). Each station will have passengers going to multiple destinations or factory areas. The commuting team needs to reasonably plan vehicles, models and operation routes to ensure that passengers are sent to their destinations.

Problem Description

The cost of operation service enterprises is related to the number of vehicles, vehicle types and driving routes. This problem gives the location of all stations (including the unified parking area of vehicles, destinations, boarding and alighting stations), the number of passengers at different destinations corresponding to each boarding and alighting station, and the maximum passenger carrying capacity of different types of vehicles. Contestants need to calculate the number of vehicles of different models and the running routes of different vehicles to minimize the number of vehicles The total mileageshould be as short as possible to ensure the operation work and realize the optimal operation cost (minimum total energy consumption) of the operating enterprise throughout the year (300 days of operation every year).

Problem 2

Safety risk assessment and fault early warning of new energy vehicle power battery

Background Introduction

In recent years, due to the greenhouse effect and environmental crisis, new energy vehicles, especially electric vehicles, have developed rapidly. However, in the practical application of new energy vehicles, the vehicle can not get timely prediction and early warning due to the abnormal internal conditions of the battery, which leads to the occurrence of electric vehicle accidents and poses a serious threat to the lives and property safety of drivers and passengers.

Problem Description

Based on the data of national standard GB/T+32960-2016, the power battery failure warning is carried out for online vehicles. Data preprocessing is carried out on the original data, and data modeling is carried out from the working conditions of vehicle charging, driving, standing, etc. through the analysis of the running state of the battery, a battery failure evaluation system is established, the training of early warning model is completed, the early warning of battery failure is output, the battery failure is predicted in advance, and the safety of the vehicle is improved.

Entrepreneurial Group

The questions of 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, so as 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 competition include:

1. Prediction of the development trend of new energy vehicle industry under the "double carbon" strategy

Combined with the national "double carbon" strategy, study and analyze the policy requirements, calculation methods, rationality and impact on the new energy vehicle industry of the vehicle "double points", predict the future development trend of the new energy vehicle industry, and form a research and analysis report on the new energy vehicle industry based on the "double carbon" background;

2. Design of innovative business model of power exchange heavy truck

Power exchange mode is one of the important ways of energy supply for new energy vehicles. It can effectively solve the pain points of slow charging and fast charging, effectively alleviate the impact of the power grid, and improve the safety performance of batteries. It plays a positive role in improving the convenience and safety of new energy vehicles. Heavy trucks are an important means of transportation in the field of freight and engineering. Although the market is small, the pollutant emissions of fuel heavy trucks are far higher than those of other types of vehicles. The electrification of trucks can effectively reduce environmental pollution, which is the key to the implementation of the "double carbon" goal. Compared with the high first-time purchase cost of charging heavy truck, replacing heavy truck can reduce the cost of buying cars, improve vehicle operation efficiency, and have great potential for industrial development. However, at this stage, there are still problems in the power exchange industry, such as high construction cost, low operation efficiency, low actual power exchange rate of vehicles, and high power exchange service fees. Please put forward the innovative business model of the upstream and downstream industrial chain of power exchange heavy truck from the following directions based on the upstream and downstream stakeholders of the power exchange industrial chain ecosystem, and analyze the business value and profit model of the invention:

• Technical and economic comparison between power replacement heavy truck, charging heavy truck and fuel heavy truck;

• Economic analysis of heavy truck replacement power station operation;

• Construction of upstream and downstream industrial chain ecosystem of power exchange heavy truck;

• Innovative application of big data in the field of power replacement and heavy card;

3. Comprehensive solution for hydrogen energy storage and transportation

At present, the development of hydrogen energy and fuel cell vehicles is an important measure of low-carbon energy and transportation in China. As an important part of the industrial chain, hydrogen energy storage and transportation, on the premise of ensuring safety, its economy directly affects the cost of hydrogen for fuel cell vehicles, thus deeply affecting the Marketization process of fuel cell vehicles. Please choose one of the following three directions, and provide the economic calculation of the comprehensive solution for hydrogen energy storage and transportation and the economic comparison with the existing main methods, and conduct safety evaluation and analysis:

• Put forward a new hydrogen energy storage and transportation scheme with good economy, including storage mode and transportation mode

• Reduce the cost of hydrogen energy storage and transportation with the existing hydrogen energy storage and transportation methods and the innovation of business model

• Put forward a comprehensive solution for hydrogen energy storage and transportation with market competitiveness for a specific transportation scenario

4. New energy vehicle related fields

• New energy vehicle modeling and parts design innovation;

• R & D and innovation of new energy vehicle power batteries, echelon utilization and recycling of retired batteries;

• Innovation of charging and changing mode of new energy vehicles;

• Big data collection, processing, early warning and information security of new energy vehicles;

• New energy vehicles and smart cities, vehicle networking and intelligent networking;

• Marketing and promotion of new energy vehicles;

• The application of big data in the electrification of construction machinery, electric ships, electric aircraft, special equipment, etc;

• Big data and insurance of new energy vehicles;

• New energy vehicles and environmental protection;

• Evaluation system for after-sales and second-hand transactions of new energy vehicles;

• Popularization and promotion of knowledge related to new energy vehicles;

• Integration and innovation of new energy vehicles with various industries;