National College New Energy Vehicle Big Data Application Innovation Competition (NCBDC) is in the process of signing up, inviting students from ordinary colleges and universities at home and abroad to participate in the competition, the contest provides a total of 700,000 Yuan for prizes, a single prize of up to 100,000 Yuan.
Relying on the current operation data of more than five million new energy automobiles from the New Energy Automobile National Regulatory Platform, the competition focuses on data algorithm innovation as well as data analysis applications. By discovering the data’s value and exploring innovative application, the competition will cultivate a group of talentsin the area of new energy automobile, and provide a supportive platform for students who have the brilliant mind of innovation and entrepreneurship.
The competition welcomes both Chinese and international students from regular institutions of higher education including college, undergraduate, postgraduate, doctoral degree or above. Contestants can choose either to form a team of five or less people per group, or compete individually. Members of the competition referee committee are not allowed to participate as team instructors.
Innovation Group
Problem1 Driver Driving Behavior Evaluation Based On Big Data Of New Energy VehicleOperation
Problem Description
Basedon the operation monitoring data of a pure electric buses in a certain place, solvingit from the perspective of driving behavior safety or economy:
1. Establish a driving behavior safety detection and evaluation model. Select reasonable and effective parameters to identify the driver's bad driving behavior or detect the driver's distracted driving, fatigue driving and other dangerous driving states. A reasonable evaluation model is established toevaluate the safety of drivers' driving behavior.
2. Establish the economic evaluation model of driving behavior. In order to enable bus operators touniformly evaluate buses under different operating conditions (including but not limited to lines, passenger capacity and traffic status), it is necessaryto establish an economic evaluation model of driving behavior with unifiedevaluation criteria. The evaluation index shall explain the rationality and effectiveness of its selection, and the evaluation results shall quantify theeconomy of driving behavior.
Data Descrioption
The data include all available data provided in the national standardGB/T32960-2016. The vehicle type is 10 pure electric buses in a certain place, and the data acquisition time span is 1 year. Please download the data of problem1 and 2 for analysis at the same time.
Problem2 Estimation Of Transportation Energy Consumption Of New Energy Buses
Problem Description
Thedriving energy consumption of new energy buses is affected by environmentalconditions, vehicle performance, drivers and other factors. Based on the operation data of existing new energy buses, participants shall comprehensivelyconsider the impact of energy consumption factors, reasonably establish anenergy consumption estimation model, and predict the energy consumption of acertain section of the line from the starting point to the end point.
Data Description
The data include all available data provided in the national standardGB/T32960-2016. The vehicle type is 10 pure electric buses in a certain place,and the data acquisition time span is 1 year. Please download the data of problem1 and 2 for analysis at the same time.
Entrepreneurial Group
Problem Description
The entrepreneurship group competition questions focus on the hot spots andindustrial development related to digital automobile, and no specificcompetition questions are set. Contestants can creatively put forwardcorresponding solutions and technological innovation plans around finding theproblems existing in the industry or the possible development direction in thefuture. The work scope of the entrepreneurship group includes but is not limitedto:
New energy vehicle modeling andparts design innovation;
R & D and innovation of new energy vehicle power batteries, ladder utilization and recycling of retired batteries;
Innovation of charging and power exchange 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 promotion of newenergy vehicles;
Application of big data inelectrification of construction machinery, electric ships, electric aircraft,special equipment, etc;
Big data and insurance of new energy vehicles;
New energy vehicles and environmental protection (carbon peak and carbon neutralization);
Evaluation system for after-salesand 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;
Shared travel and intelligent transportation;
The rewards of 2021 "digital car" competition include semi-finals and finals, with a total bonus of 700000 yuan.
The innovation group and entrepreneurship group of the competition will produce special prize, first prize, second prize, third prize and winning prize respectively:
The innovation group sets special, first, second and third prizes, with bonuses of 100000 yuan, 30000 yuan, 10000 yuan and 5000 yuan respectively;
The entrepreneurship group sets special, first, second and third prizes, with bonuses of 60000 yuan, 20000 yuan, 10000 yuan and 5000 yuan respectively;
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