Modular and Adaptive EVSE

The Modular and Adaptive Electric Vehicle Supply Equipment (MAEVSE) by Ecosense is a fully integrated educational and research platform that simulates the complete EV charging ecosystem. Designed for universities, polytechnics, and technical institutions, MAEVSE combines real EV hardware with open-source control software, enabling students and researchers to explore every aspect of EV charging technology—from onboard AC charging to off-board DC fast charging—through hands-on experimentation, data analysis, and control algorithm development. This lab-grade platform is engineered to bridge the gap between theoretical knowledge and real-world EV infrastructure.

Key Features

Complete Learning and Research Platform
Designed for academic and research institutions, MAEVSE enables hands-on exploration of EV charging systems, protocols, and safety mechanisms using real-world hardware.
Integrated Charging Environment
Includes battery bank, AC slow charger, DC fast charger, and central controller, enabling users to run test cases without the need for additional external equipment.
Support for Onboard and Off-board Charging
Allows experimentation with AC onboard chargers and DC off-board fast chargers, replicating real-life EV charging scenarios.
Open-Source Control and Algorithm Development
MAEVSE’s control unit is built around an FPGA platform. Users can access and modify source code to customize logic, apply different charging protocols, simulate fault responses, and perform real-time testing of control strategies. Communication via UART or Ethernet supports flexibility in development.
Real-Time System Behavior Simulation
Simulates EV charging workflows including communication, safety, charging cycle, and shutdown phases.
Application Software with Feedback Loop
A powerful PC-based application interfaces with the FPGA to send control commands, monitor system states, and log data. Real-time sensor feedback (voltage, current, temperature) enables control loop experimentation and tuning of charging parameters.

Learning Module

Charging Process Phases

Startup Phase
Study handshake and authentication protocols between EV and charger (e.g., OCPP, CCS).
Charging Phase
- Observe charging characteristics using onboard AC charger
- Evaluate performance with DC fast charging via off-board charger
- Monitor voltage, current, temperature, and SoC during charging
Shutdown Phase
Analyze proper disengagement protocols and safety verification upon charging termination

Control System Experiments

Modify FPGA-controlled charging algorithms
Simulate fault responses and optimize charging performance
Explore control signal flow and feedback integration

Software-Defined Testing

Develop test cases using the open-source software
Communicate with FPGA over UART or Ethernet
Visualize real-time charging data and system response

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