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What is charging and load management?

What is charging and load management?

The number of electric vehicles is constantly increasing – and with it the demands on electricity grids and charging infrastructure.
Intelligent interaction between charging and load management is required to ensure that charging points can be operated efficiently, safely and cost-effectively. These systems ensure that available energy is optimally distributed, load peaks are avoided and the operation of the charging infrastructure remains stable at all times.

What is load management?

Load management (or energy management) controls how much electricity is available for all consumers at a location at the same time – especially for charging points. The aim is to prevent grid overloads, reduce costs and make optimum use of the available connected load.

A distinction is made between two approaches:

Static Load Management

With static load management, a fixed maximum power is defined that is distributed to all charging points. Example: If 100 kW total power is available and four vehicles are connected, each vehicle receives 25 kW. This approach is simple, but not very flexible, as changes in overall consumption (e.g. due to building loads) are not taken into account.

Dynamic Load Management

Dynamic load management is the intelligent further development. It continuously measures the actual energy consumption at the location – for example by lighting, machines or other consumers – and adjusts the available charging power in real time. If more electricity is required in the building, the system automatically reduces the charging power to avoid grid overloads. As soon as capacity is available again, it distributes the energy efficiently to the charging points.

Advantage: Dynamic load management can reduce energy costs, optimize charging times and make better use of existing grid connections without expensive extensions.

What is charge management?

While load management regulates the distribution of electricity in the overall system, charging management refers to the organization of individual charging points and user groups. It controls who is allowed to charge, when and how fast.

Typical use cases:

  • – Company: Prioritization of company cars over guest parking spaces

  • Residential complexes: Allocation of certain tariffs to tenants

  • Fleet management: loading times according to demand or shift plan

This targeted control not only ensures optimum use of the infrastructure, but also enables fair and transparent billing.

Cloud-based energy management – the future of charging

Modern charging infrastructures combine charging and load management into a central, intelligent system. The cloud-based reev Energy Management System offers the ideal solution here:

  • Automatic control in real time: dynamic load distribution without manual intervention

  • Integration of photovoltaics: use of self-generated energy for sustainable charging

  • Easy scalability: new charging points can be added flexibly

  • Transparent monitoring in the reev Platform: consumption data, tariffs and charging processes can be viewed centrally

  • Cost efficiency: Reduced grid load and optimized energy use lower operating costs

This turns complex electromobility into an intuitively controllable, future-proof energy system – ideal for companies, commercial properties and multi-party buildings.

Conclusion: Intelligent charging for greater efficiency and sustainability

Charging and load management are at the heart of modern charging infrastructures. They ensure that energy is distributed efficiently, grid stability is guaranteed and the charging process remains smooth for users. With a cloud-based system such as the reev energy management system, operators can dynamically control charging points, reduce costs and integrate sustainable energy sources at the same time – a decisive step towards efficient, smart electromobility.

Ready for intelligent energy management?

Discover how the reev energy management system intelligently distributes loads, optimizes charging times and reduces costs – simply, dynamically and cloud-based.

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