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Porsche

Enabling Seamless RFID-Based EV Charging Operations

Industry :

  • EV Infrastructure
  • Automotive Technology
  • Energy & Mobility

Services :

  • EV Charging Operations Dashboard
  • RFID Integration, Charging Management System
  • Station Monitoring & Automation
  • Admin & Operator Dashboard Development

RFID-Enabled

Real-Time Control

Multi-Station Ready

About Porsche

Porsche required a robust RFID-enabled dashboard to manage EV charging stations with precision and control. The system was designed to authenticate users through RFID cards, monitor charging sessions in real time, and provide operators with centralized visibility across charging locations-ensuring a seamless and secure charging experience aligned with automotive-grade standards.

Key Goals

  • Build a unified RFID-enabled EV charging system that supports seamless tap-to-charge functionality.
  • Enable EV users to start, monitor, and end charging sessions without mobile app dependency.
  • Centralize charging station data across multiple locations for operators to manage usage, energy output, and load distribution.
  • Improve the charging experience with real-time session updates, automated billing, and secure transaction flow.

Challenges We Tackled

  • Designed with automotive-grade reliability and operational scalability in mind.
  • Manual verification & activation slowing down charging operations.
  • Need for a hardware-integrated solution supporting RFID tags + smart chargers.
  • Lack of real-time visibility into charging status, energy consumption, and session logs.

Our Solution

XongoLab engineered a fully scalable, IoT-ready EV charging ecosystem designed for seamless user experience and efficient operator management:

  • RFID-based authentication layer allowing users to tap and start charging instantly.
  • Real-time charging session tracking, including kWh consumed, live progress, and estimated completion.
  • Operator dashboard with multi-location station management, charger health monitoring, session logs, and insights.
  • Automated billing workflow syncing session usage with user accounts for transparent and accurate charging fees.
  • Cloud-based architecture ensuring high availability, secure data handling, and optimized charging operations.

Web Dashboard : React.js

Backend Services : Node.js (REST APIs)

Database : MongoDB

Cloud Infrastructure : AWS, AWS IoT

EV Charging Protocols : OCPP 1.6J, OCPP 2.0

Hardware Integration : RFID Readers, EV Chargers

Results & Outcomes

  • Successful deployment across multiple charging locations in Brunei.
  • Over 50+ automated charging sessions daily with minimal manual intervention.
  • Reduced station downtime through real-time monitoring and proactive system insights.
  • Faster charging activation improved user adoption and operational efficiency.
  • Enabled EV owners to experience frictionless charging powered by modern RFID technology.

Industries & Use Case Fit

  • EV Charging Networks

  • Automotive OEMs

  • Smart City Infrastructure

  • Commercial & Enterprise Charging Stations and Real Estate, Malls & Parking Facilities

  • Energy & Utility Providers

  • Real Estate Complexes / Malls / Parking Facilities

Thinking About Launching a Smart EV Charging System?

Tech Stack

What Our Clients Say?

They provide a good value for money if you are bootstrapping a startup. They can help get the first version of your minimum viable product up and live quickly.

- Abhimanyu Singh, Software Engineer, Intrasonics

Contact Us

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(+91) 990-926-2648

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inquiry@xongolab.com

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626, 6th Floor, Ananta Square, Vasant Vihar 2, New Naroda, Ahmedabad, Gujarat 382330

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