The first AI super storage and charging network is launched! The cornerstone of a new urban power system is established

Summary:

These city-based storage and charging smart microgrids can ultimately accumulate to build a new urban power system, serving as new infrastructure for zero-carbon cities.

 

Why does a small charging pile attract so many giants to enter? From telecom giants to new energy vehicle companies, and then to lithium battery, photovoltaic, and energy storage enterprises, this sector has become fiercely competitive.

 

Huawei launched liquid-cooled charging, CATL is deploying battery swap stations, BYD focuses on megawatt flash charging technology, NIO operates V2G charging stations, Sinopec transforms gas stations into charging stations, and a series of photovoltaic and lithium battery companies propose integrated photovoltaic-storage-charging strategies.

 

It was only when Envision Technology Group's zero-carbon integrated energy business officially launched the first "Artificial Intelligence Super Storage and Charging Network" that I realized these city-based storage and charging smart microgrids can ultimately accumulate to build a new urban power system, serving as new infrastructure for zero-carbon cities.

 

8 On the 13th, at the 4th EESA Energy Storage Exhibition hosted by the Energy Storage Leaders Alliance, Envision Technology Group officially launched a heavyweight network-level new product— Artificial Intelligence Super Storage and Charging Network.

 

The release of this network-level product is symbolic; it is no longer an isolated charging pile or energy storage cabinet, but deeply integrates energy storage, charging, AI scheduling, and power trading to create a smart energy ecosystem that integrates charging networks, storage networks, smart microgrids, and virtual power plant networks.

 

This means the evolution of urban energy infrastructure has reached a new milestone and officially marks the beginning of building new power systems in urban scenarios.

 

As Sun Jie, President of Envision's Zero Carbon Integrated Energy Product Line, stated: "The AI Super Storage and Charging Network is the cornerstone for building new urban energy systems. The support behind it comes from Envision's years of accumulated technological advantages and product capabilities in new energy systems, new energy equipment, AI, IoT, and energy-carbon management."

 

Charging piles have surpassed being simple electric vehicle energy replenishment facilities and are now involved in building the "capillaries" of new urban power systems.

 

Building new power systems requires massive investment; in the future, trillions of yuan will be invested to deliver tens of trillions of kilowatt-hours to end users. Besides building backbone networks like UHV and flexible DC, more attention is needed on the last ten kilometers of electricity use, requiring more microgrids and distribution networks to open up the city's energy "capillaries."

 

This time, Envision Technology Group further upgrades and expands the charging network by implementing the "AI Super Storage and Charging Network," connecting every link of energy production, storage, scheduling, and consumption, providing a feasible system-level solution for zero-carbon city goals.

 

Let's analyze from a technical perspective why Envision has the capability to elevate the "AI Super Storage and Charging Network" from a single infrastructure to a city-level new energy system solution.

 

The figure shows a schematic of Envision's AI Super Storage and Charging Network.

 

1. Ultra-fast charging network: the starting point for electric vehicle energy replenishment and the entry point for vehicle-grid interaction.

 

The starting point of charging piles aims to provide ultra-fast and efficient green energy replenishment for new energy vehicles, solving the "energy replenishment anxiety" caused by the rapid rise of electric vehicles.

 

However, solving this anxiety brings another problem: the "grid carrying anxiety." When tens of millions of electric vehicles connect disorderly, combined with large-scale integration of intermittent renewable energy like photovoltaic and wind power, the traditional one-way grid faces unprecedented shocks, with local "grid overload" and "wind and solar curtailment" becoming increasingly severe.

 

A supercharging pile with power up to 480kW or higher has an instantaneous load equivalent to dozens of households' electricity consumption. A station with a dozen supercharging piles has an obvious impact on the grid during peak hours.

 

At this time, the single-point charging pile model fails; what we need is a systematic solution, a "smart brain" capable of collaboratively managing massive distributed energy.

 

This is exactly the first pain point that Envision's AI Super Storage and Charging Network needs to solve.

 

AI The Super Storage and Charging Network is not only a breakthrough in single-point technology but also a network-level leap: It transforms charging infrastructure from a simple grid "load" into an "asset" capable of two-way interaction with the grid, creating multiple values and laying the foundation for building a flexible, efficient, and intelligent new power system.

 

The ultra-fast charging network is the key entry point for vehicle-grid interaction (V2G). Through IoT technology, charging piles achieve second-level data collection, real-time sensing of vehicle charging demands and grid status. During high electricity prices or grid peak periods, electric vehicles can act as mobile energy storage units to supply power back, participating in peak shaving and valley filling to optimize grid load.

 

This two-way interaction not only improves energy utilization but also serves as a bridge for integrating the grid and transportation energy, laying the foundation for large-scale future V2G applications.

 

2. Energy storage network and microgrid: energy time-shifting and local optimization.

 

In this system, charging piles are just the "facade," while the energy storage network is the "stabilizer" of the super storage and charging network. Through Envision's commercial and industrial integrated energy storage cabinets, the energy storage network achieves energy time-shifting, storing green electricity during low-price periods and releasing it during peak periods, alleviating the impact of supercharging on the grid.

 

It is estimated that the energy storage system can reduce grid peak load by 20-30%, significantly improving system stability.

 

The smart microgrid further enhances local optimization capabilities. Based on Envision's smart microgrid collaborative control terminal, charging piles, energy storage devices, and distributed energy (such as photovoltaic) achieve real-time coordination. Millisecond-level power distribution and load balancing technology ensure efficient operation of equipment within the station, while prioritizing green electricity consumption to reduce carbon emissions.

 

Under AI scheduling, the microgrid can achieve local energy supply-demand balance, maximize green electricity self-consumption, and switch to "island mode" during main grid failures to provide uninterrupted energy services to vehicles within the station.

 

The combination of energy storage network and microgrid shifts urban energy systems from centralized to distributed, enabling end-point energy autonomy and enhancing urban grid resilience.

 

The figure shows a schematic of Envision's sustainable future energy hub.

 

3. Virtual Power Plants and AI Scheduling: Global Optimization and Participation in the Electricity Market.

 

Virtual Power Plants (VPP) are the "intelligent brain" of AI super storage and charging networks, aggregating distributed energy storage, charging piles, and adjustable loads to participate in electricity market transactions and ancillary services. Envision's EnOS intelligent IoT platform supports cross-regional and cross-terminal resource collaboration, dynamically optimizing energy allocation. For example, in the electricity market, VPPs can adjust energy storage charging and discharging strategies based on real-time electricity prices to maximize profits.

 

AI Technology is the core driving force of virtual power plants. Envision won double championships in the Southern Power Grid AI load forecasting and power prediction technology competition, demonstrating its leading advantages in AI load forecasting and trading strategy optimization.

 

AI systems based on large models can analyze meteorological data, market price trends, load curves, and equipment status to formulate second-level dispatch instructions. For example, during periods of surplus green power, AI prioritizes scheduling energy storage to absorb excess electricity; during peak periods, it optimizes discharge strategies to reduce electricity purchase costs. Envision's AI system can increase energy storage operational revenue by 15-20%.

 

This upgrade is very meaningful, transforming the charging network from merely a cost center for electricity consumption into an "energy asset" capable of participating in the electricity market and generating diversified income. It participates in the electricity spot market, ancillary service markets (such as frequency regulation and reserves), and capacity markets, fundamentally changing the commercial logic of charging infrastructure.

 

4. Full-stack capability integration: a closed-loop ecosystem from hardware to software.

 

Returning to the earlier part of the article, many companies have entered the charging pile sector, but very few can connect the "source-storage-charging-grid" chain and achieve efficient collaboration, as this requires full-stack technical capabilities from hardware to software and a deep understanding of new energy systems.

 

Envision is one of the very few green technology companies covering an innovative product system across the entire chain of power generation, grid, load, and energy storage.

 

On the hardware side, Envision's zero-carbon ultra-fast charging piles, integrated energy storage cabinets, and intelligent microgrid control terminals form a solid foundation; on the software side, the EnOS platform integrates trading, forecasting, scheduling, and optimization functions to achieve collaborative management across devices and networks. For example, the EnOS platform is compatible with energy storage and charging equipment from different manufacturers, ensuring system scalability.

 

More importantly, Envision seamlessly connects hardware and software through AI large models. AI not only optimizes the operation of individual devices but also dynamically optimizes across networks, allocating every kilowatt-hour to the most valuable scenarios.

 

Envision has also accumulated rich case studies. Demonstration projects such as "integrated photovoltaic-storage-charging" and "AI storage and charging network + microgrid" deployed in Chengdu (Sichuan), Baicheng (Jilin), and Ordos (Inner Mongolia) have created tangible zero-carbon benchmarks for local governments, proving the feasibility and value of this model under different resource endowments and market environments.

 

These demonstration projects are not only technical validations but also templates for new zero-carbon urban infrastructure, providing replicable pathways for global urban energy transformation.