Two major emerging fields of research in automotive engineering are autonomous driving and electromobility. The predictive or intelligent longitudinal control within the former and consumption forecasts for the latter are dependent on lookahead data provided by cloud based services as real time road and traffic data. Furthermore, these applications can be improved by customization to the driver. This paper proposes a simple, yet accurate parametric model for longitudinal driving characteristics which is designed for use in powertrain applications that could be a predictive, intelligent cruise controller or a personalized consumption forecast. A methodology for offline identification of the model parameters is presented that can be easily transferred to online implementation. The model is validated against measurement data and meaningful metrics for assessing its performance are introduced. It is shown that predicted speed yields good resemblance to measurements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A longitudinal driver model for long horizon speed prediction in powertrain applications


    Beteiligte:


    Erscheinungsdatum :

    2019-11-01


    Format / Umfang :

    5854754 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Drive Horizon: An Artificial Intelligent Approach to Predict Vehicle Speed for Realizing Predictive Powertrain Control

    Agrawal, Mitesh / Kundu, Subrata / Bellary, Sunny et al. | SAE Technical Papers | 2020


    Drive Horizon: An Artificial Intelligent Approach to Predict Vehicle Speed for Realizing Predictive Powertrain Control

    Lonari, Yashodeep / Kundu, Subrata / Agrawal, Mitesh et al. | British Library Conference Proceedings | 2020


    Drive Horizon: An Artificial Intelligent Approach to Predict Vehicle Speed for Realizing Predictive Powertrain Control

    Lonari, Yashodeep / Kundu, Subrata / Agrawal, Mitesh et al. | British Library Conference Proceedings | 2020


    HYBRID POWERTRAIN SPEED CONTROL

    LIANG WEI / JOHRI RAJIT / WANG XIAOYONG et al. | Europäisches Patentamt | 2016

    Freier Zugriff

    HYBRID POWERTRAIN SPEED CONTROL

    ZHANG CHEN / MEYER JASON / NEFCY BERNARD D et al. | Europäisches Patentamt | 2018

    Freier Zugriff