According to relevant data, from 2015 to 2022, the number of charging facilities in China will exceed 5 million, and the vehicle-to-pile ratio will reach 25:1, which means every 2There is a charging pile for 5 new energy vehicles. As of the end of July this year, the charging capacity of new energy vehicles in the country reached 441400 million kWh, a year-on-year increase of 996%, which has exceeded the charging capacity of the whole of last year.
Although charging facilities have been widely covered in urban and rural areas in China, many new energy and battery car owners are still facing range anxiety and encounter a series of challenges such as difficulties in finding charging piles and highway charging problems. The insufficient number of charging piles and the uneven layout are the main factors that lead to the anxiety of the majority of electric vehicle owners.
At the same time, how to quickly locate charging points has become a core problem that restricts the development of the charging pile industry. In this context, the application of big data technology is particularly important. With the help of big data analysis, we can track the usage status, distribution density and distance of charging piles in real time, and then provide accurate charging pile "navigation" services for car owners. In addition, big data can also monitor the maintenance and update of charging piles in real time to ensure that car owners can get timely and effective services during use.
Many charging pile manufacturers have not done a good enough job in terms of technical improvement, resulting in poor user charging experience and low equipment usage rate. In contrast, the big data platform uses the Internet of Things technology to integrate the data of electric vehicle charging piles, providing users and charging pile managers with a more flexible and intelligent management platform to achieve accurate charging pile "navigation" services. Just enter the destination through the mobile app or applet to plan the best charging station and route for the user, and display the use status and availability of the charging pile in real time, and also recommend nearby charging piles or provide **payment function.
The application of this technology solves the problem of "difficulty in finding piles" for electric vehicle users, and also brings new business opportunities to operators and enterprises. Through data analysis and user behavior mining, operators and enterprises can more accurately understand user needs and consumption Xi, so as to provide more personalized services. In addition, through cooperation with charging pile operators, enterprises can diversify their profit models, such as advertising and data sharing.
The application of big data analysis technology in the field of electric vehicle charging will have a profound impact on the entire industry, not only improving charging efficiency and reducing the time cost of users, but also achieving a win-win model of sharing and cooperation through data, which will help promote the popularization and optimization of charging infrastructure and help promote the innovation and development of the entire industry.
Big data "navigation" will play a more important role, "find the pile difficult" problem will no longer plague the development of charging piles, if you have questions about the charging pile to build a station, welcome to chat with me at any time.