Open AccessDistributed Storage and Computing Technology in New Energy Real-time on-Board Data
Author(s) -
Yingzi Wang,
Jue Hou,
S.S. Chu
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012232
Subject(s) - energy (signal processing) , computer science , focus (optics) , government (linguistics) , energy storage , data processing , new energy , state (computer science) , real time computing , embedded system , operating system , engineering , mechanical engineering , linguistics , statistics , physics , philosophy , mathematics , power (physics) , algorithm , quantum mechanics , optics
The development and application of new energy vehicles has always been the focus of the government. As far as the users of new energy vehicles are concerned, the safety and energy-saving effects of operating conditions are of vital importance. Therefore, to fully promote the development of new energy vehicles, we must do a good job in the statistics and processing of new energy real-time vehicle data. This article focuses on the analysis of the effects of distributed storage and computing technology on real-time on-board data processing for new energy vehicles to provide solutions to the difficulties of countries and enterprises in the research and development of new energy vehicles and promote he energy saving of the state and enterprises.