Chongqing – On February 17, Xingyun Group launched its Digital Intelligence Low-Carbon Green Travel Platform and the Low-Carbon Green Travel Integrated Solution in Chongqing. The solution features an integrated management system that connects vehicles, charging stations, infrastructure, and road networks, combining online platforms with offline services to support individuals and organizations while fostering the growth of the new energy vehicle sector.
Breaking barriers and building a unified ecosystem
The adoption of NEVs has surged in recent years due to the growing demand for energy conservation and emission reductions. However, challenges remain in key areas such as production, sales, usage, energy replenishment, and operational platforms, which are still fragmented. This has led to low resource utilization, poor user experience, and operational difficulties for service providers.
Users have expressed concerns about the inconvenience and high costs associated with energy replenishment, while operators face issues such as redundant infrastructure and low utilization rates. In response, a solution has been developed to address these pain points.
The charging station site is an outdoor parking lot in Yunyang County. (Photo/Xingyun Group)
The solution seeks to create a unified ecosystem for NEVs by breaking down barriers across regions, road networks, in-vehicle systems, operational platforms, and industries.
This ecosystem enables users to purchase NEVs with confidence, operators to build charging and swapping facilities with confidence, automakers to manufacture vehicles with confidence, power grids to supply electricity with confidence, and urban management to become more efficient.
One of the solution's key innovations is its resource-efficient model. For instance, a single site can offer charging and battery-swapping services, as well as vehicle and station management functions. This integrated design improves resource utilization and eliminates redundant construction, thereby lowering operational costs.
It also integrates new energy, green power, energy storage, and cutting-edge technologies to create a coordinated supply-demand structure that enhances system safety and stability. By connecting with major platforms like Amap and backend financial systems, the solution achieves compatibility and synergy across platforms, scenarios, and products, further strengthening the industrial supply chain.
Pilot launch in Yunyang County, expanding nationwide
The solution has been successfully launched in Yunyang County, which is taking the lead in implementation in Chongqing. Plans are to build 111 charging stations and 910 charging spots. The county expects to deliver 100,000 kWh of charging daily, servicing up to 3,000 vehicles. When fully operational, it will be capable of charging 1.1 million vehicles annually, supplying 37 million kWh.
Additionally, Yunyang has built two battery-swapping stations and two battery-swapping warehouses, which will provide services for up to 500 vehicles per day, equating to 10,000 kWh of electricity. The county plans to achieve full coverage of charging and swapping facilities in all towns within three years. The solution has also been gradually rolled out in other districts of Chongqing, including Yuzhong, Jiulongpo, Yubei, and Liangjiang New Area, with plans for national expansion.
A spokesperson for Xingyun Group stated that in the future, offline scenarios will serve as hubs for smart devices like drones, robotic dogs, and robots, supporting smart mobility. Online platforms will also develop more practical apps, WeChat mini-programs, and digital tools to meet diverse user needs and improve the user experience.
Furthermore, as station energy consumption grows, the solution will feed renewable energy production, such as photovoltaic and wind power, back to the front-end systems, creating a positive cycle of production and consumption. These cycles will contribute to achieving the "dual carbon" goals.
Through a unified network, the solution will enable interconnection and communication across different levels—government management, corporate operations, and user interactions. It will integrate resources along the upstream and downstream industrial chains, gaining economies of scale and new productivity and showcasing dual advantages in cost and efficiency.
And also it will continue to provide abundant small model samples for AI large models in the mobility sector, promoting the deep application and innovation of artificial intelligence technology in this field.