This study proposes a novel climate control strategy for electric vehicles (EVs) by addressing door-opening interruptions, an overlooked aspect in EV thermal management. We create and validate an EV simulation model that incorporates door-opening scenarios. Three controllers are compared using the simulation model: (i) a hierarchical non-linear model predictive control (NMPC) with a unique coolant dividing layer and a component for cabin air inflow regulation based on door-opening signals; (ii) a single MPC controller; and (iii) a rule-based controller. The hierarchical controller outperforms, reducing door-opening temperature drops by 46.96% and 51.33% compared to single layer MPC and rule-based methods in the relevant section. Additionally, our strategy minimizes the maximum temperature gaps between the sections during recovery by 86.4% and 78.7%, surpassing single layer MPC and rule-based approaches, respectively. We believe that this result opens up future possibilities for incorporating the thermal comfort of passengers across all sections within the vehicle.


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    Titel :

    Hierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration


    Beteiligte:
    Nam, Sanghyeon (Autor:in) / Lee, Hyejin (Autor:in) / Kim, Youngki (Autor:in) / Kwak, Kyoung Hyun (Autor:in) / Han, Kyoungseok (Autor:in)


    Erscheinungsdatum :

    02.06.2024


    Format / Umfang :

    2290958 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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