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A Prediction Model for Battery Electric Bus Energy Consumption in Transit

Author

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  • Hatem Abdelaty

    (Department of Civil Engineering, McMaster University, JHE-301, Hamilton, ON L8S 4L7, Canada)

  • Moataz Mohamed

    (Department of Civil Engineering, McMaster University, JHE-301, Hamilton, ON L8S 4L7, Canada)

Abstract

This study investigates the impacts of vehicular, operational, topological, and external parameters on the energy consumption (E C ) of battery-electric buses (BEBs) in transit operation. Furthermore, the study develops a data-driven prediction model for BEB energy consumption in transit operation that considers these four parameters. A Simulink energy model is developed to estimate the E C rates and validated using the Altoona’s test real-world data. A full-factorial experiment is used to generate 907,199 scenarios for BEB operation informed by 120 real-world drive cycles. A multivariate multiple regression model was developed to predict BEB’s E C . The regression model explained more than 96% of the variation in the E C of the BEBs. The results show the significant impacts of road grade, the initial state of charge, road condition, passenger loading, driver aggressiveness, average speed, HVAC, and stop density on BEB’s energy consumption, each with a different magnitude. The study concluded that the optimal transit profile for BEB operation is associated with rolling grade and relatively lower stop density (one to two stops/km).

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2824-:d:554654
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    References listed on IDEAS

    as
    1. Christopher Kennedy, 2015. "Key threshold for electricity emissions," Nature Climate Change, Nature, vol. 5(3), pages 179-181, March.
    2. Chen, Fengzhen & Fernandes, T.R.C. & Yetano Roche, María & da Graça Carvalho, Maria, 2007. "Investigation of challenges to the utilization of fuel cell buses in the EU vs transition economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(2), pages 357-364, February.
    3. Liu, Kai & Wang, Jiangbo & Yamamoto, Toshiyuki & Morikawa, Takayuki, 2018. "Exploring the interactive effects of ambient temperature and vehicle auxiliary loads on electric vehicle energy consumption," Applied Energy, Elsevier, vol. 227(C), pages 324-331.
    4. 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.
    5. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    6. Cedric De Cauwer & Wouter Verbeke & Thierry Coosemans & Saphir Faid & Joeri Van Mierlo, 2017. "A Data-Driven Method for Energy Consumption Prediction and Energy-Efficient Routing of Electric Vehicles in Real-World Conditions," Energies, MDPI, vol. 10(5), pages 1-18, May.
    7. Yuan, Xinmei & Zhang, Chuanpu & Hong, Guokai & Huang, Xueqi & Li, Lili, 2017. "Method for evaluating the real-world driving energy consumptions of electric vehicles," Energy, Elsevier, vol. 141(C), pages 1955-1968.
    8. Gao, Zhiming & Lin, Zhenhong & LaClair, Tim J. & Liu, Changzheng & Li, Jan-Mou & Birky, Alicia K. & Ward, Jacob, 2017. "Battery capacity and recharging needs for electric buses in city transit service," Energy, Elsevier, vol. 122(C), pages 588-600.
    9. Liu, Kai & Wang, Jiangbo & Yamamoto, Toshiyuki & Morikawa, Takayuki, 2016. "Modelling the multilevel structure and mixed effects of the factors influencing the energy consumption of electric vehicles," Applied Energy, Elsevier, vol. 183(C), pages 1351-1360.
    10. 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.
    11. Zhou, Boya & Wu, Ye & Zhou, Bin & Wang, Renjie & Ke, Wenwei & Zhang, Shaojun & Hao, Jiming, 2016. "Real-world performance of battery electric buses and their life-cycle benefits with respect to energy consumption and carbon dioxide emissions," Energy, Elsevier, vol. 96(C), pages 603-613.
    12. Mohamed, Moataz & Higgins, Chris & Ferguson, Mark & Kanaroglou, Pavlos, 2016. "Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach," Transport Policy, Elsevier, vol. 52(C), pages 100-112.
    13. Vepsäläinen, Jari & Otto, Kevin & Lajunen, Antti & Tammi, Kari, 2019. "Computationally efficient model for energy demand prediction of electric city bus in varying operating conditions," Energy, Elsevier, vol. 169(C), pages 433-443.
    14. 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.
    15. Mahmoud, Moataz & Garnett, Ryan & Ferguson, Mark & Kanaroglou, Pavlos, 2016. "Electric buses: A review of alternative powertrains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 673-684.
    16. Gallet, Marc & Massier, Tobias & Hamacher, Thomas, 2018. "Estimation of the energy demand of electric buses based on real-world data for large-scale public transport networks," Applied Energy, Elsevier, vol. 230(C), pages 344-356.
    17. Wang, Jing & Kang, Lixia & Liu, Yongzhong, 2020. "Optimal scheduling for electric bus fleets based on dynamic programming approach by considering battery capacity fade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    18. Wellik, T.K. & Griffin, J.R. & Kockelman, K.M. & Mohamed, M., 2021. "Utility-transit nexus: Leveraging intelligently charged electrified transit to support a renewable energy grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    19. De Filippo, Giovanni & Marano, Vincenzo & Sioshansi, Ramteen, 2014. "Simulation of an electric transportation system at The Ohio State University," Applied Energy, Elsevier, vol. 113(C), pages 1686-1691.
    20. 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.
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    Cited by:

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    2. Foda, Ahmed & Abdelaty, Hatem & Mohamed, Moataz & El-Saadany, Ehab, 2023. "A generic cost-utility-emission optimization for electric bus transit infrastructure planning and charging scheduling," Energy, Elsevier, vol. 277(C).
    3. 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.
    4. Abdelaty, Hatem & Mohamed, Moataz & Ezzeldin, Mohamed & El-Dakhakhni, Wael, 2022. "Temporal robustness assessment framework for city-scale bus transit networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    5. Alberto Broatch & Pablo Olmeda & Pau Bares & Sebastián Aceros, 2022. "Integral Thermal Management Studies in Winter Conditions with a Global Model of a Battery-Powered Electric Bus," Energies, MDPI, vol. 16(1), pages 1-24, December.
    6. Lim, Lek Keng & Muis, Zarina Ab & Ho, Wai Shin & Hashim, Haslenda & Bong, Cassendra Phun Chien, 2023. "Review of the energy forecasting and scheduling model for electric buses," Energy, Elsevier, vol. 263(PD).

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