Distributed HPC EV Charging Station

Distributed HPC EV Charging Station

distributed HPC ev charging station

320KW-1200KW 600A | 1 second to 1 km
The Future trend of EV Charging Station


Solution Benefits

Distributed HPC EV charging station

utilizes shared power pools consisting of charging modules to dynamically allocate charging power.

Convenient Maintenance

Flexible Distribution


Smaller footprint

Low Failure Rate

Easy Expansion

Intelligent Power Distribution

Equal Division

The output of the charging system is evenly shared among the same EV models, with each receiving the maximum input from a single charging gun.

200KW * 6 = 1200KW

Flexible Distribution

The different vehicle models share the output power of the charging system on demand, with each charging gun operating at its maximum output power.

( 350KW *2 ) + ( 200KW *2 ) + (  50KW *2 ) = 1200KW

Ultra Fast Charging

1km driving on 1 second charging

  • 5min 600A HPC charging endurance increase:300km
  • 5min normal fast charging endurance increase:50km

Liquid cooling charging terminal

The charging gun can deliver a maximum output of 600A@600KW and its liquid cooling technology ensures efficient heat dissipation for cables, enabling continuous high-energy output with reduced noise.

Leading EV Chager

320KW-1200KW Distributed Charger gif

Customizable options

Customization options are available for the exterior, color, printing, and sheet metal processing, functional components, and more.

Expand and upgrade

The power module adopts a modular design, which allows for the configuration of corresponding power modules based on specific power requirements. In the event of future upgrades, only the power module needs to be replaced, thereby increasing convenience.

Localization O&M Platform

Opting for a local O&M platform to manage the charging stations would better align with the usage habits of local users.

Efficient Management

Supporting OTA remote upgrades and fault warnings, covering 100% of maintenance tasks with basic applications, improving problem resolution efficiency by 80%, and reducing operating costs by 50%.

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