Application of Big Data Technology in New Energy Vehicle Networking Platform

2020 ◽  
Author(s):  
Wei Zhang ◽  
Ping Zhou
Keyword(s):  
Big Data ◽  
New Energy ◽  
New Energy Vehicle ◽  
Vehicle Networking ◽  
Big Data Technology

scholarly journals Driving Conditions of New Energy Logistics Vehicles Using Big Data Technology

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 123891-123903
Author(s):  
Jia Mao ◽  
Dou Hong ◽  
Runwang Ren ◽  
Xiangyu Li ◽  
Ju Wang ◽  
...  
Keyword(s):  
Big Data ◽  
New Energy ◽  
Driving Conditions ◽  
Big Data Technology

Evaluate the sustainable marketing strategy to optimal online leasing of new energy vehicles under the background big data economy

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tang Daifen
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Online Algorithm ◽  
Content Type ◽  
The Sustainable Development ◽  
Government Subsidies ◽  
New Energy ◽  
Multiple Vehicles ◽  
Sustainable Marketing ◽  
New Energy Vehicle

PurposeUnder the big data background, there are many influencing factors for investors of new energy vehicles (NEV), and government subsidies promote the sustainable development of the new energy vehicle industry. Therefore, the purpose of the study is to provide solutions for the sustainable development of NEV.Design/methodology/approachThe sustainable marketing strategy of NEV in China is put forward. This paper first analyzes the subsidy policy effect of NEV under the background of big data. It then establishes the online optimal leasing strategy under multiple strategy choices and the online leasing strategy of multiple vehicles under the inflation market.FindingsWith the fixed cost of NEV in each lease period, the optimal competition ratio of online decision-makers will continue to decrease with the increase of the difference between prepaid funds and government subsidies. In the decision-making of renting and purchasing multiple vehicles, the general strategy competition ratio is 2.922, while the optimal competition ratio of the online renting and purchasing strategy proposed by the research is 2.723.Research limitations/implicationsThe research is limited by the limited data and information collected, so the optimal decision-making model has some limitations. The authors need to find more representative data to optimize the model.Practical implicationsAs an emerging industry, NEV have developed rapidly in recent years. Based on the online algorithm and competitive ratio theory, this paper solves the decision-making problem of operators and gives the optimal strategy to promote the green development of the new energy vehicle industry.Originality/valueThis paper proposes the optimal strategy for online investors of new energy vehicle operators by combining online algorithm and competitive ratio theory. The numerical analysis results of the optimal online model under multi strategy selection show that with the same difference between prepaid funds and government subsidies, the time point will be delayed and the time point will be advanced as the cost of leasing NEV in each period increases.

scholarly journals Operation Platform of Charging Pile Metering Equipment Based on Big Data

2021 ◽  
Vol 2143 (1) ◽  
pp. 012038
Author(s):  
Wei Liu ◽  
Chaoliang Wang ◽  
Yang Zhang ◽  
Tao Xiao ◽  
Chunguang Lu
Keyword(s):  
Big Data ◽  
System Development ◽  
Electric Energy ◽  
Current Status ◽  
Analysis Method ◽  
Existing Problems ◽  
Green Development ◽  
New Energy ◽  
Operation Platform ◽  
Big Data Technology

Abstract At present, our country’s new energy industry has developed rapidly with the concept of green development, and at the same time, the demand for charging piles and other equipment is also increasing. However, many new energy vehicles need to pay corresponding fees when using charging piles, resulting in bloated data in the original metering system. Based on this, the purpose of this article is to design and research the operation platform of charging pile metering equipment based on big data. This article first analyzes and studies the current status of charging pile metering, and studies its existing problems and shortcomings in combination with big data technology. The feasibility of the system development and the module functions of the charging pile metering equipment operating platform are studied. This article systematically expounds the three basic algorithms of DC electric energy measurement, and uses comparative analysis method, interdisciplinary method and other research forms to study the content of this article. Experimental research shows that the accuracy of the charging pile metering equipment based on big data studied in this paper is within 0.1, which is extremely feasible.

The Application of UX Research in New Energy Vehicle Innovation

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Menghan TAO ◽  
Ning XIAO ◽  
Xingfu ZHAO ◽  
Wenbin LIU
Keyword(s):  
Early Stage ◽  
Rapid Expansion ◽  
The Other ◽  
Innovative Product ◽  
Stage Of Development ◽  
New Energy ◽  
New Energy Vehicle ◽  
The One ◽  
New Energy Vehicles ◽  
Degree Of Innovation

New energy vehicles(NEV) as a new thing for sustainable development, in China, on the one hand has faced the rapid expansion of the market; the other hand, for the new NEV users, the current NEVs cannot keep up with the degree of innovation. This paper demonstrates the reasons for the existence of this systematic challenge, and puts forward the method of UX research which is different from the traditional petrol vehicles research in the early stage of development, which studies from the user's essence level, to form the innovative product programs which meet the needs of users and being real attractive.

A New Rockburst Experiment Data Compression Storage Algorithm based on Big Data Technology

2019 ◽  
pp. 561-573
Author(s):  
Yu Zhang ◽  
Yan-Ge Wang ◽  
Yan-Ping Bai ◽  
Yong-Zhen Li ◽  
Zhao-Yong Lv ◽  
...  
Keyword(s):  
Big Data ◽  
Data Compression ◽  
Experiment Data ◽  
Big Data Technology

scholarly journals Validity of the “Big Data Tendency in Education” Scale as a Tool Helping to Reach Inclusive Social Development

2020 ◽  
Vol 12 (13) ◽  
pp. 5470 ◽  
Author(s):  
Antonio Matas-Terrón ◽  
Juan José Leiva-Olivencia ◽  
Pablo Daniel Franco-Caballero ◽  
Francisco José García-Aguilera
Keyword(s):  
Big Data ◽  
Inclusive Education ◽  
Sustainable Development Goals ◽  
Sustainable Society ◽  
Education Students ◽  
The Sustainable Development ◽  
Research Goal ◽  
Development Goals ◽  
Nonprobability Sample ◽  
Big Data Technology

Big Data technology can be a great resource for achieving the Sustainable Development Goals in a fair and inclusive manner; however, only recently have we begun to analyse its impact on education. This research goal was to analyse the psychometric characteristics of a scale to assess opinions that educators in training have about Big Data besides their related emotions. This is important, as it will be the educators of the future who will have to manage with Big Data at school. A nonprobability sample of 337 education students from Peru and Spain was counted. Internal consistency, as well as validity, were analysed through exploratory and confirmatory factorial analysis. The results show good psychometric values, highlighting as relevant a latent structure of six factors that includes emotional and cognitive dimensions. As a result, the profile defining the participants in relation to Big Data was identified. Finally, the implications of the Big Data for Inclusive Education in a sustainable society are discussed.

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