Dynamic Diagnostic Controller Architecture for Scalable and Adaptive Zonal Based Vehicle Platforms Tata Motors, Limited

Format:

Book

Conference/Event

Author/Creator:

Mukherjee, Soumyadeep, author.

Contributor:

Raman, Kothanda

Conference Name:

Symposium on International Automotive Technology (2026) (2026-01-28 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2026

Summary:

The rapid evolution of in-vehicle electronic systems toward zonal based architectures introduces a new layer of complexity in automotive diagnostics. Traditional architectures, built on Controller Area Network (CAN) and Local Interconnect Network (LIN) protocols, operate on a uniform Real-Time Operating System (RTOS), enabling simplified and consistent diagnostic workflows across Electronic Control Units (ECUs). However, next-generation platforms must accommodate diverse communication protocols (e.g., CAN, LIN, DoIP, SOME/IP) and heterogeneous operating systems (e.g., RTOS, Linux, QNX), resulting in fragmented and inflexible diagnostic processes.This paper presents a Diagnostic controller that addresses these challenges by enabling unified, scalable, and adaptive diagnostic capabilities across modern vehicle platforms. The proposed system consolidates protocol handling at the application level, abstracts diagnostic complexities, and allows cross-platform communication through hypervisor-based services. Diagnostic configurations are decoupled from static software builds and delivered dynamically as configuration files, supporting real-time adaptability to software updates and Over-The-Air (OTA) changes. This architecture also facilitates seamless interoperability across operating systems and enables service-based diagnostics in line with the industry's move toward software-defined vehicles. The result is a robust, future-ready diagnostic solution optimized for high software variability, platform heterogeneity, and increasing system complexity in modern automotive ecosystems

Notes:

Vendor supplied data

Publisher Number:

2026-26-0689

Access Restriction:

Restricted for use by site license