Implementing real-time and onboard fault diagnosis on electric vehicles can effectively avoid potential dangers. However, the low calculating ability and limited storage capacity of electric vehicles hamper the development of real-time and onboard fault diagnosis. To address the issue, combining neural network and fuzzy logic, we propose a low complexity onboard vehicle fault diagnosis method to monitor the vehicle status and give early warning of accidents. In twelve months, we first utilize three electric vehicles and collect 6. 52GB real data related to vehicle components. Motivated by those data, we conducted an in-depth research on the major vehicle faults, and divided them into four types which are no fault, battery fault, sensor fault, and module fault. Furthermore, we propose a BP neural network based multiple training method to define the correlation between data types and fault types. Then, applying the correlation and data, a fuzzy logic based classification method is proposed to evaluate the vehicle status and give early warning. Finally, a comprehensive simulation is conducted, which indicates that the accuracy is 88%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    On Vehicle Fault Diagnosis: A Low Complexity Onboard Method


    Beteiligte:
    Zhou, Yimin (Autor:in) / Zhu, Lina (Autor:in) / Yi, Jianjia (Autor:in) / Luan, Tom Hao (Autor:in) / Li, Changle (Autor:in)


    Erscheinungsdatum :

    01.12.2020


    Format / Umfang :

    150930 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Onboard Diagnosis Concepts for Future Vehicles Fault Diagnosis, Energy and Information Management

    Baeker, B. / Forchert, T. / VDI; Gesellschaft Fahrzeug- und Verkehrstechnik | British Library Conference Proceedings | 1999


    Implementation of a research prototype onboard fault monitoring and diagnosis system

    Palmer, Michael T. / Abbott, Kathy H. / Schutte, Paul C. et al. | NTRS | 1987


    Onboard diagnosis of electronics, a contribution to vehicle reliability

    Schurk, H.E. / Fournell, H.D. | Tema Archiv | 1987