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City Bus Powertrain Comparison: Driving Cycle Variation and Passenger Load Sensitivity Analysis

Author

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  • Klaus Kivekäs

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Puumiehenkuja 5, 02150 Espoo, Finland)

  • Antti Lajunen

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Puumiehenkuja 5, 02150 Espoo, Finland)

  • Jari Vepsäläinen

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Puumiehenkuja 5, 02150 Espoo, Finland)

  • Kari Tammi

    (Department of Mechanical Engineering, School of Engineering, Aalto University, Puumiehenkuja 5, 02150 Espoo, Finland)

Abstract

Alternative powertrains are rapidly increasing in popularity in city buses. Hence, it is vitally important to understand the factors affecting the performance of the powertrains in order to operate them on appropriate routes and as efficiently as possible. To that end, this paper presents an exhaustive driving cycle and passenger load sensitivity analysis for the most common city bus powertrain topologies. Three-thousand synthetic cycles were generated for a typical suburban bus route based on measured cycles and passenger numbers from the route. The cycles were simulated with six bus models: compressed natural gas, diesel, parallel hybrid, series hybrid, hydrogen fuel cell hybrid, and battery electric bus. Twenty reference cycles featuring various types of routes were simulated for comparison. Correlations between energy consumption and the various driving cycle parameters and passenger loads were examined. Further analysis was conducted with variance decomposition. Aggressiveness and stop frequency had the highest correlation with the consumption. The diesel bus was the most sensitive to aggressiveness. The parallel hybrid had a lower statistical dispersion of consumption than the series hybrid on the suburban route. On the varied routes, the opposite was true. The performance of the parallel hybrid powertrain deteriorated significantly on cycles with high aggressiveness and stop frequency. In general, the high correlation between aggressiveness and energy consumption implies that particular attention must be paid to limiting high-speed accelerations of city buses.

Suggested Citation

  • Klaus Kivekäs & Antti Lajunen & Jari Vepsäläinen & Kari Tammi, 2018. "City Bus Powertrain Comparison: Driving Cycle Variation and Passenger Load Sensitivity Analysis," Energies, MDPI, vol. 11(7), pages 1-26, July.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1755-:d:156156
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    References listed on IDEAS

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    Cited by:

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    2. Călin Iclodean & Nicolae Cordoș & Adrian Todoruț, 2019. "Analysis of the Electric Bus Autonomy Depending on the Atmospheric Conditions," Energies, MDPI, vol. 12(23), pages 1-23, November.
    3. Jari Vepsäläinen & Antti Ritari & Antti Lajunen & Klaus Kivekäs & Kari Tammi, 2018. "Energy Uncertainty Analysis of Electric Buses," Energies, MDPI, vol. 11(12), pages 1-29, November.
    4. Roman Michael Sennefelder & Rubén Martín-Clemente & Ramón González-Carvajal, 2023. "Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression," Energies, MDPI, vol. 16(11), pages 1-14, May.
    5. Teresa Pamuła & Wiesław Pamuła, 2020. "Estimation of the Energy Consumption of Battery Electric Buses for Public Transport Networks Using Real-World Data and Deep Learning," Energies, MDPI, vol. 13(9), pages 1-17, May.
    6. Carmen Raga & Andres Barrado & Henry Miniguano & Antonio Lazaro & Isabel Quesada & Alberto Martin-Lozano, 2018. "Analysis and Sizing of Power Distribution Architectures Applied to Fuel Cell Based Vehicles," Energies, MDPI, vol. 11(10), pages 1-30, September.
    7. Andrzej Łebkowski, 2019. "Studies of Energy Consumption by a City Bus Powered by a Hybrid Energy Storage System in Variable Road Conditions," Energies, MDPI, vol. 12(5), pages 1-39, March.
    8. Pietro Stabile & Federico Ballo & Gianpiero Mastinu & Massimiliano Gobbi, 2021. "An Ultra-Efficient Lightweight Electric Vehicle—Power Demand Analysis to Enable Lightweight Construction," Energies, MDPI, vol. 14(3), pages 1-18, February.
    9. Hatem Abdelaty & Moataz Mohamed, 2021. "A Prediction Model for Battery Electric Bus Energy Consumption in Transit," Energies, MDPI, vol. 14(10), pages 1-26, May.
    10. Philipp Glücker & Klaus Kivekäs & Jari Vepsäläinen & Panagiotis Mouratidis & Maximilian Schneider & Stephan Rinderknecht & Kari Tammi, 2021. "Prolongation of Battery Lifetime for Electric Buses through Flywheel Integration," Energies, MDPI, vol. 14(4), pages 1-19, February.

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