Commercial Vehicle Diagnostics and Telematics Architecture

Cojali develops and manufactures diagnostic systems, electronic components, and telematics platforms for commercial vehicles, agricultural machinery, and marine vessels. These technologies address the integration of vehicle data networks, predictive maintenance, and component lifecycle management in the heavy-duty aftermarket sector. The system architectures and hardware solutions will be exhibited at Automechanika Frankfurt, taking place from 8 to 12 September 2026 in Frankfurt, Germany.

Component Manufacturing and Remanufacturing
Cojali engineers commercial vehicle components, producing a catalog of 16,000 references spanning cooling, braking, suspension, and transmission systems. The company also operates a dedicated component remanufacturing division. This division restores used electronic and mechanical units to operational factory specifications, establishing a circular material flow that optimizes resource utilization and reduces manufacturing waste within the heavy-duty product life cycle.

Multibrand Diagnostics and Telematics Integration
The Jaltest Diagnostics platform interfaces with electronic control units across multiple vehicle brands and architectures. It retrieves fault codes, reads live sensor data, and performs the bidirectional controls necessary for system calibrations and actuator testing. The software infrastructure receives three updates annually to maintain compatibility with evolving manufacturer protocols. In parallel, the Jaltest Telematics platform extracts diagnostic data remotely. By transmitting real-time vehicle parameters to fleet operators, the system facilitates predictive maintenance scheduling, mitigating unexpected mechanical failures and reducing operational downtime.

Artificial Intelligence and Diagnostic Hardware
Diagnostic procedures are supported by a dedicated hardware line, which provides the physical interfaces, multiplexers, and calibration equipment required for commercial vehicle repair. Cojali also structures technical training modules to instruct technicians on complex vehicle network architectures. To streamline physical repairs, Cojali has developed an artificial intelligence interface, Jaltest AI, designed to assist technicians through voice control and augmented reality. The system overlays technical schematics and diagnostic data within the user's field of vision, removing the need for external screens during manual inspection. Furthermore, Cojali and Knorr-Bremse have engineered the ESB Reman project, a European remanufacturing network focused on standardizing resource efficiency and reducing environmental impact in component recovery.

Additional Context: This section details technical specifications and competitive benchmarking not included in the original product announcement
In the heavy-duty multibrand diagnostics sector, systems such as Jaltest compete with platforms like Texa Navigator and Bosch KTS Truck. Benchmarking in this field relies on protocol coverage, such as J1939, J1708, and OBD-II, as well as the frequency of database updates required to support proprietary fault codes from various original equipment manufacturers. The integration of remote diagnostic capabilities directly into telematics hardware has become a standard architectural requirement for modern fleet management solutions, shifting the commercial vehicle industry from reactive repair protocols to proactive, data-driven maintenance.

Edited by an industrial journalist, Lekshman Ramdas, with AI assistance.

www.cojali.com