OTA connected vehicle technology targets fleet management
Major fleet operators increasingly build upon OEM-provided vehicles to meet their own specifications. The eSync platform handels OTA updates and data retrieval for the many electronic devices in modern fleet vehicles, and delivers a single mechanism to handle multiple vehicle types across an entire fleet.
The demonstration shows how a fleet operator can use the eSync OTA system to perform updates on the various models that comprise a fleet of many thousands of vehicles. In the demo, the operator can review and improve the efficiency and performance of particular vehicle models within the fleet, and can use the same OTA process for predicting and resolving potential security issues before they become problems.
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The eSync system is a cloud platform for secure transactions with the electronic end devices in a vehicle. It can deliver and update software and firmware over-the-air, and can collect diagnostics and telematics data from end devices in the vehicle.
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Modern connected cars may incorporate dozens, or even hundreds, of software-driven sensors and controllers. Automakers and fleet operators increasingly seek the ability to update software over-the-air, to avoid recall and service costs, to provide security patches, to improve vehicle performance and efficiency, and even to add new features or enhancements. However, to date, most systems that are available to serve the automotive market are single-company proprietary offerings.
The eSync Alliance, a global initiative consisting of multiple automotive suppliers, specifically addresses this by creating a community of companies that cooperate to provide standardized and interoperable OTA and diagnostic-data systems.
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“The eSync system provides a superior pipeline to reach all the electronic devices in modern connected vehicles,” said Shrinath Acharya, chief executive officer of Excelfore. “ZF is a leading worldwide supplier of automotive components and systems. Our work together shows a highly pertinent example of just how powerful this capability to reach the end devices in the vehicle can be, feeding real world data in to predictive analytics and machine learning to enable automakers and fleet operators to drive continuous improvement cycles in their vehicles.”
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