IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v182y2019icp1045-1057.html
   My bibliography  Save this article

A unified approach to the analysis of electric energy and fuel consumption of cars in city traffic

Author

Listed:
  • Kropiwnicki, Jacek

Abstract

Forecasting fuel and electricity consumption is an important factor determining the direction of changes in road engineering solutions, traffic management, selection of routes for public transport and development more efficient car drive systems. With a reliable and easy-to-use computational tool, it is possible to reduce the consumption of primary energy sources and reduce the emission of toxic compounds in cities. An analysis of the impact of the selected variables describing traffic conditions on the fuel consumption has been included in this work, as well as the influence of the drive system hybridization. On this basis, the original, high accuracy fuel consumption model for the road-averaged input data has been presented, which enables taking into account the up-to-date traffic conditions. The presented in this paper model of the fuel consumption has been also extended for the regenerative braking systems. The final results of the analysis showed that modelling of the fuel and the energy consumption (including electric drives) of vehicles in city traffic, with an expected accuracy of 5%, can be successfully made using 5 specified variables describing traffic conditions. The original method of the input data collection, from the real world traffic, has been also presented.

Suggested Citation

  • Kropiwnicki, Jacek, 2019. "A unified approach to the analysis of electric energy and fuel consumption of cars in city traffic," Energy, Elsevier, vol. 182(C), pages 1045-1057.
    • Handle: RePEc:eee:energy:v:182:y:2019:i:c:p:1045-1057
    DOI: 10.1016/j.energy.2019.06.114
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219312460
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.06.114?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kim, Sunuk & Oh, Han Jin & Han, Sang Ju & Ko, Han Seo & Shin, Youhwan & Shin, Dong Ho, 2022. "Development of black-ice removal system with latent heat thermal energy storage and solar thermal collectors," Energy, Elsevier, vol. 244(PA).
    2. Luo, Yulong & Zeng, Weiliang & Wang, Yueqiang & Li, Danzhou & Hu, Xianbiao & Zhang, Hua, 2021. "A hybrid approach for examining the drivers of energy consumption in Shanghai," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    3. Wang, Yanxia & Gan, Shaojun & Li, Kang & Chen, Yanyan, 2022. "Planning for low-carbon energy-transportation system at metropolitan scale: A case study of Beijing, China," Energy, Elsevier, vol. 246(C).
    4. Mariusz Graba & Jarosław Mamala & Andrzej Bieniek & Andrzej Augustynowicz & Krystian Czernek & Andżelika Krupińska & Sylwia Włodarczak & Marek Ochowiak, 2023. "Assessment of Energy Demand for PHEVs in Year-Round Operating Conditions," Energies, MDPI, vol. 16(14), pages 1-19, July.
    5. Li, Pengshun & Zhang, Yi & Zhang, Yi & Zhang, Kai & Jiang, Mengyan, 2021. "The effects of dynamic traffic conditions, route characteristics and environmental conditions on trip-based electricity consumption prediction of electric bus," Energy, Elsevier, vol. 218(C).
    6. Karol Tucki, 2021. "A Computer Tool for Modelling CO 2 Emissions in Driving Cycles for Spark Ignition Engines Powered by Biofuels," Energies, MDPI, vol. 14(5), pages 1-33, March.
    7. Kroyan, Yuri & Wojcieszyk, Michal & Kaario, Ossi & Larmi, Martti & Zenger, Kai, 2020. "Modeling the end-use performance of alternative fuels in light-duty vehicles," Energy, Elsevier, vol. 205(C).

    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:eee:energy:v:182:y:2019:i:c:p:1045-1057. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.