IDEAS home Printed from https://ideas.repec.org/a/bcy/issued/cognitivesustainabilityv3y2024i1p38-44.html
   My bibliography  Save this article

Investigating energy management of hybrid vehicle technologies to promote sustainable mobility paradigms

Author

Listed:
  • Imre Zsombok

    (AK-S Ltd., Budapest, Hungary)

Abstract

Analysing contemporary passenger cars' energy consumption and environmental impacts is a critical research area. This is particularly relevant in urban transport's dynamic and unpredictable environment, where vehicles' fuel consumption and emissions vary considerably. An in-depth understanding of such fluctuations is essential for innovative, efficient, environmentally friendly vehicle technology. In the present research, I investigated a 1.4-litre petrol hybrid vehicle, focusing on its energy supply chain under real-world urban driving conditions. The study focuses on policies that can promote the development of sustainable mobility, improve energy efficiency and reduce environmental pollution. The results can help to optimise hybrid vehicle technologies in an environmentally conscious way and explore possible new avenues for sustainable transport solutions.

Suggested Citation

  • Imre Zsombok, 2024. "Investigating energy management of hybrid vehicle technologies to promote sustainable mobility paradigms," Cognitive Sustainability, Cognitive Sustainability Ltd., vol. 3(1), pages 38-44, March.
    • Handle: RePEc:bcy:issued:cognitivesustainability:v:3:y:2024:i:1:p:38-44
    DOI: 10.55343/CogSust.96
    as

    Download full text from publisher

    File URL: https://www.cogsust.com/index.php/real/article/view/96
    Download Restriction: -
    File URL: https://libkey.io/10.55343/CogSust.96?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Hailong & Peng, Jiankun & Dong, Hanxuan & Tan, Huachun & Ding, Fan, 2023. "Hierarchical reinforcement learning based energy management strategy of plug-in hybrid electric vehicle for ecological car-following process," Applied Energy, Elsevier, vol. 333(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Jie & Wu, Xiaodong & Fan, Jiawei & Liu, Yonggang & Xu, Min, 2023. "Overcoming driving challenges in complex urban traffic: A multi-objective eco-driving strategy via safety model based reinforcement learning," Energy, Elsevier, vol. 284(C).

    More about this item

    Keywords

    Consumption; Driver behaviour; Hybrid vehicle efficiency; Sustainable mobility;
    All these keywords.

    JEL classification:

    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bcy:issued:cognitivesustainability:v:3:y:2024:i:1:p:38-44. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Maria SZALMANE CSETE (email available below). General contact details of provider: http://www.CogSust.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.