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

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  • 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
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    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. 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).
    3. 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.
    4. 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).
    5. 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).
    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).

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