Charging solution provider ChargePoint has developed an AI-based tool to rapidly accelerate the diagnosis and repair of charging stations in the field. The software utilizes AI for the first time in the EV charging space to identify physical charger issues, thus improving their uptime. The software is the latest deliverable of ChargePoint’s ongoing investment in charging station reliability.

Submit a photo via the ChargePoint app

All a driver needs to do when encountering a nonfunctional charging station is submit photos via an improved “report a problem” feature in the ChargePoint app. The app links the issue to the driver’s location and analyzes the images for anomalies, discovered thanks to a multitude of inputs utilized to train the technology for the EV charging domain. Once the software identifies the issue, it relays the information to ChargePoint’s Network Operations Center, eliminating the need for most on-site inspections, considerably shortening the time to resolution.

“By deploying AI technology that can diagnose hardware issues, ChargePoint has a critical new tool joining our Network Operations Center to ensure station uptime,” said Rick Wilmer, CEO of ChargePoint. “This technology will enable us to triage and resolve physical issues that cannot not be detected via remote monitoring, demonstrating our commitment to innovations which deliver a reliable charging network.”

Highlights

Related articles

IVECO and DSV begin semi-automated truck pilot in Germany

After several months of stringent testing and validation, the program will use a new production intent design of the IVECO S-Way heavy-duty truck equipped with Plus’s driver-supervised highly automated driving software, the patented PlusDrive. This brings the PlusDrive-enabled IVECO S-Way one step c...

ZF cubiX vehicle motion control for commercial vehicles

cubiX interfaces with all virtual driver systems and the vehicle actuators to ensure required safety, precision and vehicle performance in challenging driving scenarios such as freight yards or ports, where there is more scope to deploy automated technologies compared to public roads.