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Analytics & Visualization

We optimize performance by monitoring and reporting key analytics and data for electric vehicle operators.

Overview

How Analytics and Dashboard are Bolstering Performance for Charging Stations

As the various players in the electric vehicle smart charging solutions space continuously look for new ways to optimize performance, the key to improvement lies in monitoring data to make improvements. TekMindz is committed to providing advanced analytics and data visualization capabilities to businesses in the electric vehicle Charging space to help them gain deeper insights into the health of their systems and to in turn provide seamless experiences to their end users.
Massive amounts of data generated by devices, vehicles, buildings, the power grid, and many other connected things combined with increased rates of data transmission pose major data challenges. Data generated by electric vehicles comes from various sources ranging from sensors to trip logs. By monitoring vast amounts of data and analyzing it by using big data techniques, we help to create smart charging algorithms, address energy efficiency issues and optimize power distribution systems to handle extra charging loads for better vehicle-to-grid operations.

Why TekMindz for Analytics and Visualization for EV Smart Charging Solutions

Since our inception, one of our sole purposes has been to deliver quick charging solutions to our clients. With thousands of charging stations already served, we are one of the pioneers in making electric mobility seamless and the most natural choice for vehicle owners.

Our portfolio consists of a network of unified interface of cloud solutions, application development and maintenance services, hardware services and technical support. We deliver top-notch experiences to EV drivers and EV operators. We’ve built reliable partner networks with many smart grid electric vehicle charging businesses – making it a profitable and a better space for everyone involved in the ecosystem.

The Advantage you get with TekMindz

Our tailor-made and fully customized electric vehicle charging software development and consulting services for e-vehicle charging incorporate a host of EV charging platform technologies for fleet companies, local and state governments, commercial businesses, residences and the retail sector.

Our expertise in data analytics for electric vehicle integration include:

  • Big data analytics platforms and EV integration
  • Optimized charging using Hadoop and HBase
  • Battery consumption prediction for improved accuracy of battery consumption using Hadoop and R statistical package
  • Charging meter data management for improved interoperability of heterogeneous chargers using Hadoop, Pig script, MySQL
  • EV status tracking by extracting raw data and transforming it into classified buckets using Hadoop and HBase

Book a free consultation with one of our experts.

Get in touch with our EV charging domain experts and we’ll work with you to evaluate the right EV charging solution for you.

Learn Why TekMindz for EV Industry

EV Expertise

TekMindz has a strong EV industry domain experience of 8+ years. We have developed EV charging platform comprising of OCPP, OpenADR, OCPI, analytics for utilities, fleets, eBus OEMs etc.

Single Stop Shop for EV Technology Services

We have done new product development, MVP, SAAS based, white labelled solution, mobile application development, product sustenance, modernisation, independent testing, maintenance, providing NOC support, embedded systems and have a strong partner ecosystem with consulting firms in this domain.

Accelerators

We have developed OCPP accelerator for web based CMS and mobile application that works as a starting point of development for CMS and saves the initial 3 to 4 calendar months of development. We have initiated the development of accelerator on OpenADR, fleets, and dashboard analytics

EV Academy

We are investing in learning new protocols like OCPP 2.0.1, V2G, 15118 etc. We also train new teams on protocols like OCPP 1.6, OpenADR, OCPIetc

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