EV CHARGERS
Health Prognostic System
Condition-based maintenance solution for DC chargers

Problem

Every 5th charging session failed
of this is due to internal station faults
Our solution addresses the most important challenges of EV charger maintenance:
  • Reducing downtime. The solution works proactively and prevents failures.
  • Cutting costs. Maintenance is planned in advance based on the actual conditions of the infrastructure, considering the location.
System Components:
  • Set of hardware sensors
  • Edge Computing module based on Infineon's PSoC6 platform gathering rough data
  • Two level ML-based prediction algorithms run on edge and cloud.
  • Cloud platform provides realtime dashboard and API for 3rd-party integrations
Our mission is to ensure achievement of high uptime with reducing OPEX
Value proposition
CPOs
O&M partners
Enhance your infrastructure uptime and decrease maintenance costs through:

  • Realtime monitoring
  • Prediction analytics and alerts
  • Service route optimisation
CSMS/CPMS providers

Сompetitive advantage for your software solution based on:

  • Realtime HW data not available in OCPP
  • Prediction analytics and alerts that can be used as-is OR to improve your current AI models
Charger’s Manufacturers

Сompetitive advantage for your DC chargers:

  • Set of tested sensors and trained ML models, that can be integrated as-is into your new line of chargers
Founding Team
  • Roman Pakholkov
    CEO
    Entrepreneur. Promwad Co-Owner & chairman of the board of directors. Evangelist of hardware and electronics ecosystem
  • Dmitrii Ershov
    CTO
    Technology strategic planning. More than 15 years of experience in information technology, more than 5 years of experience in eMobility area
  • Kirill Zut
    R&D Manager
    Over 15 years of experience on technical and managing positions in electronics development with focus on embedded and application software
Our request to you
We are open for all kind of cooperation and looking for partners to expand the test area and run pilot projects together
Our Goals
  • Access to the real charging infrastructure

  • In-field testing

  • Gathering data for ML algorithms training
Benefits for You
  • Access to the realtime data (API or our dashboard)

  • Checking the value of our solution on 1-2 chargers

  • Special conditions for future commercial installations
FEEL FREE TO CONTACT US
contact@e-litmus.com
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