Automobile Fault Diagnosis and Management System: A Review and Future Directions

Mr. Diseye Isowo; Engr. Efiyeseimokumo Ikeremo Sample

doi:10.56201/ijcsmt.vol.11.no4.2025.pg.66.77

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Automobile Fault Diagnosis and Management System: A Review and Future Directions

Mr. Diseye Isowo, Engr. Efiyeseimokumo Ikeremo Sample

Abstract

The increasing complexity of modern automobiles necessitates sophisticated fault diagnosis and management systems to ensure safety, reliability, and optimal performance. The software functionality of modern automobiles continues to increase dramatically, this growing functionality leads directly to a higher complexity in development and configuration. Additionally, advanced driver assistance systems (ADAS) and autonomous functionality, such as highly and fully automated driving or parking will be introduced. Many of these new functions require access to different communication domains within the automobile, which increases system complexity. AUTOSAR, the software architecture established as a standard in the automobile domain, provides no methodologies to reduce this kind of complexity and to master new challenges. These fast changing systems also increase the complexity of automobile fault diagnosis and management systems. This article reviews the current state-of-the-art technologies in gasoline powered automobile fault diagnosis and management systems, encompassing various diagnosis techniques, data acquisition methods, and system architectures. We discuss the challenges and limitations of existing systems and explore promising future directions, including the integration of artificial intelligence and machine learning for enhanced fault diagnosis and predictive maintenance.

Keywords

AutomobileExpert SystemFault DiagnosisElectronic Control Units (ECUs)Automobile Fault Diagnosis and Management SystemsOn-Board Diagnostics (OBD).

References

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Automobile Fault Diagnosis and Management System: A Review and Future Directions

Abstract

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References

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