As public attention on energy conservation and emission reduction has increased in recent years, engine idling has become a growing concern due to its low efficiency and high emissions. Service vehicles equipped with auxiliary systems, such as refrigeration, air conditioning, PCs, and electronics, usually have to idle to power them. The number of service vehicles (e.g. public-school tour buses, delivery-refrigerator trucks, police cars, ambulances, armed vehicles, firefighter vehicles) is increasing significantly with tremendous social development. Therefore, introducing new anti-idling solutions is inevitably vital for controlling energy unsustainability and poor air quality. There are a few books about the idling disadvantages and anti-idling solutions. Most of them are more concerned with different anti-idling technologies and their effects on the society rather than elaborating an anti-idling system design considering different applications and limitations. There is still much room to improve existing anti-idling technologies and products. In this book, we took a service vehicle, refrigerator truck, as an example to demonstrate the whole process of designing, optimizing, controlling, and developing a smart charging system for the anti-idling purpose. The proposed system cannot only electrify the auxiliary systems to achieve anti-idling, but also utilize the concepts of regenerative braking and optimal charging strategy to arrive at an optimum solution. Necessary tools, algorithms, and methods are illustrated and the benefits of the optimal anti-idling solution are evaluated

    1. Introduction -- 1.1 Motivation -- 1.2 Review of anti-idling products -- 1.2.1 Mobile products -- 1.2.2 Stationary products -- 1.3 Summary --

    2. Powertrain modeling and component sizing for the smart charger -- 2.1 Modeling -- 2.1.1 Vehicle longitudinal dynamics -- 2.1.2 Generator modeling -- 2.1.3 Battery modeling -- 2.1.4 Engine modeling -- 2.2 Design optimization -- 2.2.1 Optimization algorithm structure -- 2.2.2 Objective cost function -- 2.2.3 Optimization constraints -- 2.3 Design optimization -- 2.4 Summary --

    3. Driving and service cycle estimation -- 3.1 Prediction of the auxiliary load in service vehicles -- 3.2 Driving information estimation -- 3.3 Summary --

    4. Power management controller design for the smart charger -- 4.1 Two-level DP-adaptive ECMS power management controller -- 4.1.1 High-level controller -- 4.1.2 Lower-level controller -- 4.1.3 Case study -- 4.2 The MPC-based power management controller -- 4.2.1 Prescient MPC -- 4.2.2 Average-concept based MPC -- 4.3 Summary --

    5. Conclusions -- References -- Authors' biographies


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    Titel :

    Smart charging and anti-idling systems


    Beteiligte:
    Huang, Yanjun (Autor:in) / Khajepour, Amir (Autor:in) / Wang, Hong (Autor:in) / Khazraee, Milad (Autor:in) / Fard, Soheil Mohagheghi (Autor:in)


    Erscheinungsdatum :

    2018


    Format / Umfang :

    1 Online-Ressource (viii, 81 Seiten)


    Anmerkungen:

    Illustrationen
    Campusweiter Zugriff (Universität Hannover) - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots.
    Erworben aus Studienqualitätsmitteln
    Includes bibliographical references (pages 71-77)




    Medientyp :

    Buch


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629.254 / 621.3
    RVK:    ZO 4480



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