Big data makes power lithium batteries clear -Lithium - Ion Battery Equipment

Big data makes power lithium batteries clear -Lithium - Ion Battery Equipment



"Vigorously promoting the deep integration of industrialization and informatization has become a strategic choice and the only way to seize the commanding heights of future industrial competition and accelerate the construction of a powerful manufacturing country." As early as 2014, Miao Wei, Minister of Industry and Information Technology, has emphasized the application direction of digital information technology. In the 2018 government work report, both big data and new energy vehicles were highlighted. As two "important weapons of the country", big data and new energy vehicles are hand in hand. Facts have proved that big data has become an indispensable and powerful driving force for the development of the new energy vehicle industry.(Lithium - Ion Battery Equipment)

According to Sun Fengchun, director of the National Engineering Laboratory for Electric Vehicles of Beijing Institute of Technology and academician of the Chinese Academy of Engineering, the national new energy vehicle big data can be used for traffic flow forecasting, people flow forecasting, economic and industrial development forecasting, and the development status of automobiles and related industries. predict.

A few days ago, Wang Zhenpo, Secretary General of the National New Energy Vehicle Big Data Alliance and Deputy Director of the National Engineering Laboratory for Electric Vehicles, introduced the construction and application of the National New Energy Vehicle Big Data Platform at the 10th New Energy Vehicle Industry Development Summit Forum.

Data sharing "triple win-win" for government, enterprises and individuals

The value of big data is not the data itself. Mei Hong, an academician of the Chinese Academy of Sciences, once said that the depth of data mining and the breadth of applications are the essence of big data.

According to Wang Zhenpo, "The big data platform for new energy vehicles consists of a three-level data platform structure: the vehicle production company establishes a vehicle data platform, collects and transmits it to the local government platform to which it belongs, and then uploads it to the national platform." The platform can display each vehicle 61 items of information such as current, voltage, temperature, running trajectory, etc., as well as related data items of plug-in electric vehicle engines and fuel cell vehicle batteries. The new energy vehicle big data platform currently has access to more than 1 million vehicles, and the access rate of vehicles produced and sold after 2017 will reach 95%.

"Since there are millions of data collections, we must think about how to realize the sharing and sharing of data in the industry and promote the progress of the industry." On July 18, 2017, the New Energy Vehicle Big Data Alliance came into being, and the alliance members Including a number of new energy vehicle manufacturers, parts suppliers, Internet application service providers, scientific research institutions, etc.

Wang Zhenpo told reporters that the combination of big data and new energy vehicles and the realization of data sharing can enable the government, companies and individuals to achieve a win-win situation for all parties. "From the perspective of the government, the platform provides data support for the government's corresponding decision-making; for the company, the platform provides technical support for the improvement of the company's quality, reasonable travel planning, and reasonable vehicle scheduling; for car users, the platform can provide convenient travel supply. Data support service." Wang Zhenpo had imagined specific application scenarios before: "In addition to providing service information for charging and replacing batteries for vehicle companies and vehicle application companies, it can also communicate data between time-sharing leasing companies and open an app. You can find vehicles from various companies, compare the technical performance and service prices of these vehicles, and choose the most cost-effective vehicles."


 

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