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Driving and Energy Profiles of Urban Bus Routes Predicted for Operation with Battery Electric Buses

Author

Listed:
  • Zbigniew Czapla

    (Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego Str. 8, 40-019 Katowice, Poland)

  • Grzegorz Sierpiński

    (Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego Str. 8, 40-019 Katowice, Poland)

Abstract

Battery electric buses are used for operation on urban bus routes. The main disadvantage of battery electric buses is their limited range that depends on energy consumption. This paper presents a new approach to the estimation of energy consumption on urban bus routes based on driving and energy profiles. The energy consumption results from the travel parameters along the bus route. The travel parameters are described by driving profiles. The determination of driving profiles is based on GPS location data recorded by a receiver on a bus. Location data are recorded at consecutive track points at a constant frequency. For each track point, the distance to the preceding track point is determined using the location data, and then the speed and acceleration are calculated. The analyzed bus route is divided into sections. For each section, travel parameters consisting of travel time, speed parameters, and acceleration parameters are determined. Using travel parameters, the energy consumption is estimated for individual sections and the entire bus route. The estimated energy consumption is described by energy profiles. Experimental results have been obtained for the selected urban bus route under various traffic conditions. For the assumed model of energy consumption, the energy consumed on the entire bus route is 1.8 KWh/km at off-peak hours and 2.1 KWh/km at peak hours. The driving and energy profiles describe the urban bus routes well and allow evaluation of the suitability of the bus route for operation with battery electric buses.

Suggested Citation

  • Zbigniew Czapla & Grzegorz Sierpiński, 2023. "Driving and Energy Profiles of Urban Bus Routes Predicted for Operation with Battery Electric Buses," Energies, MDPI, vol. 16(15), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5706-:d:1206878
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    References listed on IDEAS

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    1. Yan Xing & Yachao Li & Weidong Liu & Wenqing Li & Lingxuan Meng & Min Ye, 2022. "Operation Energy Consumption Estimation Method of Electric Bus Based on CNN Time Series Prediction," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, October.
    2. Yuan Qiao & Kaisheng Huang & Johannes Jeub & Jianan Qian & Yizhou Song, 2018. "Deploying Electric Vehicle Charging Stations Considering Time Cost and Existing Infrastructure," Energies, MDPI, vol. 11(9), pages 1-13, September.
    3. Xiaoyu Li & Tengyuan Wang & Jiaxu Li & Yong Tian & Jindong Tian, 2022. "Energy Consumption Estimation for Electric Buses Based on a Physical and Data-Driven Fusion Model," Energies, MDPI, vol. 15(11), pages 1-17, June.
    4. Julio, Nikolas & Giesen, Ricardo & Lizana, Pedro, 2016. "Real-time prediction of bus travel speeds using traffic shockwaves and machine learning algorithms," Research in Transportation Economics, Elsevier, vol. 59(C), pages 250-257.
    5. Perumal, Shyam S.G. & Lusby, Richard M. & Larsen, Jesper, 2022. "Electric bus planning & scheduling: A review of related problems and methodologies," European Journal of Operational Research, Elsevier, vol. 301(2), pages 395-413.
    6. Cedric De Cauwer & Joeri Van Mierlo & Thierry Coosemans, 2015. "Energy Consumption Prediction for Electric Vehicles Based on Real-World Data," Energies, MDPI, vol. 8(8), pages 1-21, August.
    7. Wojciech Lewicki & Wojciech Drozdz & Piotr Wroblewski & Krzysztof Zarna, 2021. "The Road to Electromobility in Poland: Consumer Attitude Assessment," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 28-39.
    8. Antti Ritari & Jari Vepsäläinen & Klaus Kivekäs & Kari Tammi & Heikki Laitinen, 2020. "Energy Consumption and Lifecycle Cost Analysis of Electric City Buses with Multispeed Gearboxes," Energies, MDPI, vol. 13(8), pages 1-21, April.
    9. Shefang Wang & Chaoru Lu & Chenhui Liu & Yue Zhou & Jun Bi & Xiaomei Zhao, 2020. "Understanding the Energy Consumption of Battery Electric Buses in Urban Public Transport Systems," Sustainability, MDPI, vol. 12(23), pages 1-12, November.
    10. Piotr Wróblewski & Wojciech Lewicki, 2021. "A Method of Analyzing the Residual Values of Low-Emission Vehicles Based on a Selected Expert Method Taking into Account Stochastic Operational Parameters," Energies, MDPI, vol. 14(21), pages 1-24, October.
    11. Neil Quarles & Kara M. Kockelman & Moataz Mohamed, 2020. "Costs and Benefits of Electrifying and Automating Bus Transit Fleets," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    12. Tharsis Teoh, 2022. "Electric vehicle charging strategies for Urban freight transport: concept and typology," Transport Reviews, Taylor & Francis Journals, vol. 42(2), pages 157-180, March.
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