As an industry leader in EV charging technology, including chargers, software and Cloud-based services such as Vehicle Grid Integration (VGI) and Vehicle-to-Grid bidirectional charging (V2G), IoTecha is providing advanced clean energy solutions that bring together the worlds of Operations Technologies and Information Technologies. IoTecha simplifies the development and implementation of Smart EV Charging and EV / Smart Grid integration, reducing the costs and time to market for our customers.
IoTecha’s Combined Charging System on Module (CCSoM) is a System-on-Module solution that enables manufacturers of L2 chargers to shorten the time to market and minimize the development effort while producing an intelligent charger. The CCSoM is also an ideal solution for integration into L3 DC chargers.In addition to being available as a Module, the CCSoM is the foundation for IoTecha’s AC Charger which is available as a “white label” product, fully integrated with ISO/IEC 15118 and IoT.ON™ cloud connectivity.
IoTecha’s Protocol Analyzer enables in-depth analysis of V2G communication using a non-invasive packet capturing and protocol analysis. It is capable of displaying low-level HomePlug GreenPHY MPDUs (frames transmitted on the pilot line using powerline communication) as well as decrypted / re-assembled Layer 2.
IoTecha’s Intelligent Power Platform (IoT.ON™) is a powerful cloud-based tool enabling charger manufacturers and charging station operators to significantly reduce charger downtime and monitor charger status and performance. IoT.ON™ has great offerings: Cloud and Edge. IoT.ON™ Cloud offers EV-Grid management and intelligent charging orchestration services. IoTecha leverages its unique Combined Charging System on Module (CCSoM) devices to collect vital operational data that IoT.ON™ uses to deliver easy to use and intuitive visualizations, as well as provide operational insights based on the wide range of analytics while improving ROI. IoT.ON™ Edge is the on-premises Smart Charging Manager that offers EVs demand aware load sharing and load optimization. It has the capability to leverage IoT.ON™ cloud-based optimization algorithms or it can act autonomously in collaboration with the local BMS using available and forecasted load curve info.