With the increasing popularity of green energy, the electric vehicle (EV) industry is booming. However, issues such as charging difficulties and potential hazards are also on the rise, leading to an escalating demand for smart battery swap cabinets in the market.

Traditional battery swap cabinets largely rely on grid power input, which has clear drawbacks. If a power failure occurs, the cabinet becomes inoperable, preventing users from accessing battery swap services. This not only disrupts user convenience but also poses significant challenges to the continued development of the EV industry.

To address this issue, some battery swap stations have attempted to implement backup power supplies to ensure continuous operation in the event of a power outage. While this approach resolves power supply issues to some extent, it increases operational costs and takes up valuable equipment space. Clearly, this does not align with current customer demands for low-cost, high-efficiency operations.

In response to this challenge, we have developed a battery swap stations that remains fully operational even when grid power is lost. The key innovation of this system is its unique reverse power supply function. Unlike traditional methods that rely on costly and high-maintenance backup power systems, our solution cleverly utilizes the cabinet's internal battery resources to ensure self-sufficiency during power outages.

This system can monitor the charge status of the batteries in real-time and intelligently manage power distribution. When grid power is available, the system prioritizes using it to power the cabinet while simultaneously charging and maintaining the internal batteries. In the event of a grid failure, the system seamlessly switches to reverse power supply mode, selecting the appropriate batteries to provide continuous power to the cabinet.

As a result, even during power outages, the battery swap cabinet can continue to operate, ensuring uninterrupted services for users. This solution not only solves the power supply problem but also significantly reduces operational costs.