The Software for Electric Vehicle Charging Optimization

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Make smart charging decisions

Ampcontrol is a cloud-based software that uses real-time data to ensure on-time departures, a low peak power demand, energy cost reductions, fully charged vehicles, and more.

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Architecture System Ampcontrol

What to Expect

Real-Time Optimization

Our software uses algorithms and Machine Learning to send commands and real-time updates to EV charging systems.

Seamless API Integration

Ampcontrol uses the highest industry standard to give only authorized parties access to the optimization and the data. Use only one API to access Ampcontrol on your backend system.

Data Visualization

Our data analytics visualize charging decisions and charging efficiency in real-time.

Multi-Objective Algorithms

Our software targets multiple objectives, such as on-time departure, TOU rates, and more, continuously adapting to your EV’s needs.

Connect to OCPP and non-OCPP Chargers

No matter what charger protocol you use, our API makes it easy for any backend to connect seamlessly. If you use OCPP chargers, you can easily connect directly to Ampcontrol.

Reliable Software Operations

Ampcontrol’s number one priority is to have the most reliable optimization system. Our software uptime is close to 100%, ensuring optimized charging sites.

How it Works
1. Connect

With our API documentation and integration guide, you can seamlessly connect the Ampcontrol API to your central system. Use Ampcontrol's real-time logging system to verify the integration of the optimization system and vehicle data.

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API Documentation Guide Ampcontrol
2. Optimize

Operate charging stations in an optimized state to ensure reliability, lower energy costs, reduced power demand, and on-time departure. Use Ampcontrol for all charging stations and locations without any additional hardware.

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Automate EV charging decisions
3. Analyze

Use Ampcontrol's real-time data visualization to evaluate your site's performance. You can easily change your optimization objective through the API or user interface when needed. The software will automatically update all charger activities to match the new parameters requested.

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Data Analysis Ampcontrol
1
Connect

With our API documentation and integration guide, you can seamlessly connect the Ampcontrol API to your central system. Use Ampcontrol's real-time logging system to verify the integration of the optimization system and vehicle data.

Get started
2
Optimize

Operate charging stations in an optimized state to ensure reliability, lower energy costs, reduced power demand, and on-time departure. Use Ampcontrol for all charging stations and locations without any additional hardware.

Get started
3
Analyze

Use Ampcontrol's real-time data visualization to evaluate your site's performance. You can easily change your optimization objective through the API or user interface when needed. The software will automatically update all charger activities to match the new parameters requested.

Get started
API Documentation Guide Ampcontrol
Automate EV charging decisions
Data Analysis Ampcontrol
A variety of Electric Vehicles

Features

Dynamic Load Management

Balance the charging load of your site efficiently. Install more chargers at lower costs.

Energy Cost Optimization

Ampcontrol uses TOU rates and spot pricing to optimize the vehicles' charges preventing high energy expenses.

Vehicle Schedules

Our fleet optimization uses vehicle data to ensure the on-time departure of vehicles. For large fleet depots, the optimization will allocate the vehicles among the charging stations.

Demand Response

Enroll your charging stations in demand response programs or other capacity markets. Generate additional revenue by contributing the grid stability.

V2G

Enable automatic and optimized bidirectional charging. Ampcontrol's software discharges the vehicles at the right time without causing late departure or high battery usage.

Talk to one of our EV charging experts!

We offer an entire ecosystem to help you solve challenges with electric vehicle charging, EV fleet management, and electric logistic centers with machine learning.

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