EV CHARGERS
Health Monitoring System
Health Monitoring System
Condition-based maintenance solution for DC chargers
Condition-Based Maintenance
Condition-Based Maintenance (CBM) is a proactive maintenance strategy that focuses on monitoring and assessing the condition of equipment and assets in real time or on a scheduled basis
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Cloud Platform
We are developing a Cloud Platform for performance monitoring and predicting malfunctions for fast EV charging stations
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Edge Data Collection
Our solution built on the base of Edge Computing architecture gathers data from the set of sensors of the current physical condition of chargers units
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AI-Based Diagnostics
Tailored AI SW runs on Infineon's PSoC6 platform to calculate the charger health index and predict malfunctions to support Condition-Based Maintenance service
Our solution
PSoCTM 6 ensures the Edge Computing concept to reduce the load on the server significantly and allows the use of tailored recognition models at every single charger
Key advantages
Our solution addresses the most important challenges of EV charger maintenance:
- Reducing downtime. Faulty chargers do not earn money and deteriorate your reputation
- Cutting costs. The maintenance expenses of charging stations are too high
- Timely repairs. Low efficiency of refurbishing due to unavailability of units real technical condition data
Our mission is to ensure achievement of high uptime with reducing OPEX
Value proposition
Uninterrupted operation
Enhance the uptime and reliability.
Comprehensive monitoring
Full information about the station's performance.
Informing customers about service unavailability.
Informing customers about service unavailability.
Reduced costs and downtime
Reduced number of service visits.
Tips for replacing units before they fail.
The possibility of continuing operation at reduced power in the event of failure of certain units.
Tips for replacing units before they fail.
The possibility of continuing operation at reduced power in the event of failure of certain units.
Additional benefits
Optimizing infrastructure performance and reliability.
Spare parts inventory planning is driven by data.
Condition Based Maintenance planning tools.
Planning of repairs and prevention of equipment failure.
Spare parts inventory planning is driven by data.
Condition Based Maintenance planning tools.
Planning of repairs and prevention of equipment failure.
Meet Our Team
Dmitrii ErshovProduct OwnerTechnology strategic planning. More than 15 years of experience in information technology, more than 5 years of experience in eMobility area
Kirill ZutTechnical ManagerOver 15 years of experience on technical and managing positions in electronics development with focus on embedded and application software
Roman PakholkovBusiness DevelopmentEntrepreneur. Promwad Co-Owner & chairman of the board of directors. Evangelist of hardware and electronics ecosystem
Our request to you
We would be happy to help solve your real challenges and monitoring tasks and try to support at the solution and algorithm level the solution of your current charging infrastructure problems and ask you:
Share Challenges
Voice your operational problems and challenges.
Test Our Solution
Provide the opportunity and access to test our solution, and at the next stage, we offer to conduct a full test exploitation.
Share Data
If you have current data that can be useful for prediction diagnostics, share it, and we guarantee you that you will be the first to use the results of the created algorithms.
Industry Contacts
Help us in finding contacts in the industry who are interested in developing such a solution.
Feedback
Simply respond and give feedback on our work on the product. 🙂
FEEL FREE TO CONTACT US
contact@e-litmus.com
