Abstract
In the process of social and economic development in my country, the number of private cars is increasing. When a car is driving, it will not only produce noise and exhaust, but also cause traffic jams, which is not conducive to the rapid development of the city. In this context, new energy vehicles came into being. This paper analyzes the application prospects of big data technology in the new energy vehicle industry, clarifies the important concepts of big data analysis technology for new energy vehicles, and analyzes the application of big data technology in the field of new energy vehicles to ensure that new energy vehicles are large. The quality of data application has been comprehensively improved.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Min, L.: Research and practice on teaching reform of database system course. Wirel. Internet Technol. 16(07), 88–89+104 (2019)
Jia, L.: Research on the teaching mode of software engineering in colleges and universities based on big data analysis. Econ. Outlook Bohai Sea (03), 176 (2019)
Wenjun, Y., Lin, T.: The exploration and practice of multi-dimensional teaching mode in the teaching of software engineering in colleges and universities. Sci. Educ. J. (Mid-Term) 12, 73–75 (2016)
Tingting, H.: Bilingual teaching model of software engineering for software service outsourcing in colleges and universities. Comput. Educ. 13, 67–69 (2010)
Dawkins, S., Tian, A.W., Newman, A., Martin, A.: Psychological ownership: a review and research agenda. J. Organ. Behav. 2, 163–183 (2017)
Alhazmi, Y.A., Salama, M.M.A.: Economical staging plan for implementing electric vehicle charging stations. Sustain. Energy Grids Netw. 2, 12–25 (2017)
Li, Y., Abdel-Monem, M., Gopalakrishnan, R., Berecibar, M., Nanini-Maury, E., Omar, N., van den Bossche, P., Van Mierlo, J.: A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter. J. Power Sources 10, 40–53 (2018)
Panchal, S., Dincer, I., Agelin-Chaab, M., Fraser, R., Fowler, M.: Experimental and theoretical investigations of heat generation rates for a water cooled LiFePO4 battery. Int. J. Heat Mass Transf. 5, 1093–1102 (2016)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, Ys. (2021). The Importance of Big Data in the Automotive Industry. In: Chang, V., Ramachandran, M., Méndez Muñoz, V. (eds) Modern Industrial IoT, Big Data and Supply Chain. Smart Innovation, Systems and Technologies, vol 218. Springer, Singapore. https://doi.org/10.1007/978-981-33-6141-6_27
Download citation
DOI: https://doi.org/10.1007/978-981-33-6141-6_27
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-6140-9
Online ISBN: 978-981-33-6141-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)