The core contradiction regarding tidal overload of 22kW AC charging piles (slow charging) in high-speed service areas lies in the combination of "long-term occupancy" and "instantaneous peak". 22kW cannot be charged and driven like fast charging, so the solution strategy must revolve around "peak shaving and valley filling" and "space for time". Here is a concise solution logic chain:
1. Hardware layer: Dynamic power pool management (peak shaving)
The motherboard needs to support setting the upper limit of cluster power. The total transformer capacity in the service area is fixed, and the motherboard monitors the total power of the cluster in real time. When the load exceeds the limit (such as reaching 95%), dynamic derating is prioritized - proportionally reducing the output power of all online piles (such as 22kW → 11kW), or suspending the power climb of newly started piles. The core goal of this move is to ensure that the system does not trip, sacrificing the speed of a single pile for the overall power supply.
2. Scheduling layer: Timing off peak charging (off peak)
Utilizing the characteristic of a 22kW charging time (usually 4-6 hours), the motherboard interfaces with the cloud platform to perform "reservation queuing+delayed startup". After the car owner inserts the gun into the area, the system does not immediately output full power. Instead, based on the estimated departure time, the charging task is evenly distributed at night or throughout the entire stay period. For example, 20 vehicles during the peak period from 2-4 pm will be started in a dispersed manner with 2 cars starting every 15 minutes, flattening the "instantaneous peak" into a "continuous gentle slope".
3. Energy layer: Peak shaving and valley filling of energy storage cabinets (capacity expansion)
Configure distributed energy storage batteries (such as 200kWh), with the motherboard linked to the energy storage system. During peak charging periods (during holidays and daytime), the energy storage and discharge auxiliary power grid supplies power to 22kW piles to fill the capacity gap of transformers; During low periods (nighttime), the power grid provides energy storage and replenishment. Using energy storage as a 'virtual capacity enhancer' can instantly enhance the effective power supply capacity of the service area without the need to modify external lines.
4. Spatial layer: Tidal lanes and diversion guidance (load transfer)
The dual zone (opposite direction) load of the high-speed service area is extremely uneven. The motherboard networking displays real-time load rate, dynamically opens contact channels, and guides congested queued vehicles to the idle side for charging. At the same time, if the load on the idle side is low, reverse boosting can be used to support energy storage charging on the congested side, achieving bidirectional power pool mutual assistance.
5. Operations layer: Price difference adjustment (soft guidance)
The motherboard adopts a pricing strategy that implements "current limiting pricing" (high price at full power) and "long-term pricing" (low price at low power) during peak hours. Using price leverage to guide non emergency car owners to actively choose the "valley delay mode" and shift their charging behavior back.
Summarize the core logic:
The motherboard does not solve the problem of "fast charging", but solves the problem of "stable charging". Through the four steps of "limiting power to ensure safety, avoiding spikes in timing, filling gaps with energy storage, and adjusting surplus across regions", the disorderly tidal impact is transformed into an orderly controllable load. The key is to give up the illusion of "charging and leaving immediately" for 22kW and fully utilize its "long-term residence" advantage to evenly embed charging behavior into parking time.
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