It has been successfully applied to Bus groups and has become a model for big data applications at the provincial and municipal levels. Through AI algorithms, combined with scheduling, time-interval electricity prices, and battery performance life cycle, it intelligently arranges vehicle charging time, corresponding charging guns, and charging power, while meeting business needs and achieving the lowest electricity costs.
The platform solves the pain point of manual operation of bus charging, which cannot accurately judge the charging time, and realizes the precise control of electricity cost. The product integrates data resources such as bus operation and real-time electricity price, and automatically generates the best charging plan for different buses through AI algorithm according to the principle of "no charging during peak hours, no waste during trough hours, and accurate charging during off-peak hours".
Calculation data shows that after the application of this product, the average electricity price for bus charging can be reduced by 0.07 yuan per kilowatt-hour, and the electricity cost saving rate reaches 9.8%.
