Geely's new energy power battery project settled in Hubei, one of the core contents of the new energy strategy

Recently, it was learned from official sources that Geely Group President and CEO Xu Zhihao and others came to Honghu Xintan Economic Zone in Jingzhou City, Hubei Province to inspect the location of Geely New Energy Power Battery Project. The project, also called the high-performance automotive power battery and module project, is one of the core contents of Geely's new energy strategy.

It is reported that Geely will be located in the second phase of the Xintan Economic Zone, with a planned total land area of 800 mu, a total investment of 8 billion yuan, construction of battery and module production lines and R & D center, comprehensive office building, logistics matching center and so on. The project will be implemented in two phases. The site selection and preliminary work will be completed in 2018 and will be completed and put into operation in 2020.

Honghu City is affiliated to Jingzhou City, Hubei Province, and is located in the south-central part of Hubei Province. The Geely New Energy Power Battery Project is also a key project for Honghu City's new investment attraction this year. From the recent series of Geely's layout, Hubei is becoming an important force for Geely's new energy and intelligent driving projects.

In addition, the layout of Geely Automobile in the field of power batteries has been expanding. In April 2016, the Geely Automobile Jinhua Power Battery Project with an investment of 2.05 billion and a production capacity of 1.5 million Kwh was started. In May 2017, the automobile industry chain project with a total investment of 12.8 billion yuan from Geely Automobile was signed and settled in Hangzhou Hangzhou Bay New District. Construction began in March 2018. Obviously, with Li Shufu's goal of “90% of Geely's new energy vehicles in 2020” approaching, Geely is continuously strengthening the layout of supporting facilities such as batteries.

The page contains the contents of the machine translation.