Parkopedia has enhanced its EV charging data offering to enable OEMs to provide EV drivers with an improved charging experience by highlighting charger reliability and availability.
By introducing high-fidelity reliability and utilisation datasets, Parkopedia is enabling automakers to solve the industry’s most pressing hurdle to EV mass adoption: the inconsistency of public charging infrastructure.
As EV ranges increase, the primary barrier to adoption has shifted from ‘range anxiety’ to ‘charging anxiety’, the uncertainty over whether a charger will be functional or available upon arrival. With industry research showing that up to 43% of public chargers are effectively unavailable – based on a 25% failure rate from inoperative equipment, and an additional 18% facing significant congestion to charge in hubs such as San Francisco, Parkopedia’s enhanced API provides the high-fidelity transparency required for OEMs to restore driver confidence.
The enhanced dataset integrates seamlessly into vehicle head units via API, providing:
- A-to-F Reliability Scoring: Dynamic grades based on historical success rates, ensuring navigation systems prioritise high-uptime locations.
- Predictive Utilisation Histograms: Time-based occupancy data allowing vehicles to intelligently route drivers to chargers with the highest probability of immediate availability.
- Pricing Transparency: Enabling OEMs to clearly display the total cost of a charging session, including the cost of energy and any idle or overstay charges – before drivers plug in.
Parkopedia’s EV charging data already covers location, charger numbers, speed, connector types and operator details. The addition of reliability and utilisation metrics represents a significant step in the company’s mission to provide an end-to-end, stress-free ecosystem for the global automotive industry, enabling drivers to make informed decisions about their charging and better plan their journeys.
(Picture: Parkopedia)
