Consumption estimation of battery electric buses considering line characteristics and temperature
Abstract
The battery electric buses (BEB) have a shorter range than diesel buses, thus they are not always able to perform the all precribed distance during a day. The bus turnaround planning and bus procurement decisions can also be supported by pre-determining the energy demand of the lines. In the course of the research, we developed an energy-based consumption
estimation method that also takes into account the uncertainties influencing consumption (ambient temperature, topography, stopping distance, passenger load). The novelty of the method is that instead of the current consumption data, it takes into account the dynamic energy consumption of the vehicle and the performance of other energy consumers (eg
cooling-heating system, air compressor). The method was used and validated in a case study. The minimum energy consumption is determined taking into account the largest consumers. We found that the estimated data correlated with the measured data, they show a deviation of 5% from the measured data.
References
Borén, S., 2019. Electric buses’ sustainability effects, noise, energy use, and costs. International Journal of Sustainable Transportation, 1–16. DOI: https://doi.org/gh79d5
Kang, H., 2007. An analysis of hybridelectric vehicles as the car of the future, Doktori disszertáció - Massachusetts Institute of Technology, Dept. of Mechanical Engineering,
Laib, F., Braun, A., & Rid, W., 2019. Modelling noise reductions using electric buses in urban traffic. A case study from Stuttgart, Germany. Transportation Research Procedia, 37, 377–384. DOI: https://doi.org/gf8zfj
Poojitganont, T., Antoshkiv, O., Watjatrakul, B., & Berg, H. P., 2020. Efficiency and emission simulations of hydrogen-fuel city buses. IOP Conference Series. Materials Science and Engineering, 886, 012025. DOI: https://doi.org/jrsm
C40 mayors air quality commitment 2016. C40 Mayors Summit in Mexico City
Lajunen, A., 2014. Energy consumption and cost-benefit analysis of hybrid and electric city buses, Transportation research. Part C, Emerging technologies, 38, pp. 1–15. DOI: https://doi.org/f5sz4r
Potkány, M., Hlatká, M., Debnár, M., & Hanzl, J., 2018. Comparison of the lifecycle cost structure of electric and diesel buses. Nase More, 65(4), 270–275. DOI: https://doi.org/jrsn
Quarles, N., Kockelman, K. M., & Mohamed, M., 2020. Costs and benefits of electrifying and automating bus transit fleets. Sustainability, 12(10), 3977. DOI: https://doi.org/gpx6fr
Sheth, A., & Sarkar, D., 2019a. Life cycle cost analysis for electric vs. Diesel bus transit in an Indian scenario. International Journal of Technology, 10(1), 105. DOI: https://doi.org/gmj3jn
Szilassy, P. Á., Jenőfi, B. and Földes, D. 2022. Marginal energy consumption cost factors of battery electric buses, Smart City Symposium Prague (SCSP) 2022, DOI: https://doi.org/jrsp
Ehsani, M., Gao, Y., Gay, S. E., & Emadi, A., 2004. Modern Electric, Hybrid Electric, and Fuel Cell Vehicles. CRC Press. DOI: https://doi.org/dkjc8q
Basma, H., Mansour, C., Haddad, M., Nemer, M., & Stabat, P., 2020. Comprehensive energy modeling methodology for battery electric buses. Energy (Oxford, England), 207(118241), 118241.
Vepsäläinen, J., Ritari, A., Lajunen, A., Kivekäs, K., & Tammi, K., 2018. Energy uncertainty analysis of electric buses. Energies, 11(12), 3267. DOI: https://doi.org/jrsr
Fernandes H., 2018. Electric bus performance evaluation in real world use conditions, Doktori disszertáció, University of Lisbon, link: https://fenix.tecnico.ulisboa.pt/downloadFile/1126295043836122/ExtendedAbstract_76209.pdf
Marshall, G. J., Mahony, C. P., Rhodes, M. J., Daniewicz, S. R., Tsolas, N., & Thompson, S. M., 2019. Thermal management of vehicle cabins, external surfaces, and onboard electronics: An overview. Engineering (Beijing, China), 5(5), 954–969. DOI: https://doi.org/gg3x2f
Li, L., & Liu, Q., 2019. Acceleration curve optimization for electric vehicle based on energy consumption and battery life. Energy (Oxford, England), 169, 1039–1053. DOI: https://doi.org/gjp5b5
Perrotta, D., Ribeiro, B., Rossetti, R. J. F., & Afonso, J. L., 2012. On the potential of regenerative braking of electric buses as a function of their itinerary. Procedia, Social and Behavioral Sciences, 54, 1156–1167. DOI: https://doi.org/jrss
Zhang, Y., Yuan, W., Fu, R., & Wang, C., 2019. Design of an energy-saving driving strategy for electric buses. IEEE Access: Practical Innovations, Open Solutions, 7, 157693–157706. DOI: https://doi.org/jrst
Kirchner, M., Schubert, P., & Haas, C. T., 2014. Characterisation of real-world bus acceleration and deceleration signals. Journal of Signal and Information Processing, 05(01), 8–13. DOI: https://doi.org/jrsv
Corazza, M., Conti, V., Genovese, A., Ortenzi, F., & Valentini, M. P., 2021. A procedure to estimate air conditioning consumption of urban buses related to climate and main operational
characteristics. World Electric Vehicle Journal, 12(1), 29. DOI: https://doi.org/jrsw
Göhlich, D., Ly, T.-A., Kunith, A., & Jefferies, D., 2015. Economic assessment of different air-conditioning and heating systems for Electric City buses based on comprehensive energetic simulations. World Electric Vehicle Journal, 7(3), 398–406. DOI: https://doi.org/gn3767
He, H., Yan, M., Sun, C., Peng, J., Li, M., & Jia, H., 2018. Predictive air-conditioner control for electric buses with passenger amount variation forecast. Applied Energy, 227, 249–261. DOI: https://doi.org/gfdw5f
Beckers, C. J. J., Besselink, I. J. M., Frints, J. J. M., & Nijmeijer, H., 2019. Energy consumption prediction for electric city buses. Paper presented at 13th ITS European Congres, Eindhoven, Netherlands
Bartłomiejczyk, M., & Kołacz, R., 2020. The reduction of auxiliaries power demand: The challenge for electromobility in public transportation. Journal of Cleaner Production, 252(119776), 119776. DOI: https://doi.org/gmqdp3
Csonka, B., 2021. Optimization of Static and Dynamic Charging Infrastructure for Electric Buses. Energies, 14(12), 3516. DOI: https://doi.org/jrsx
Lindh, P., Petrov, I., Pyrhonen, J., Niemela, M., Immonen, P., & Scherman, E., 2018. Direct liquid cooling method verified with a permanent-magnet traction motor in a bus. 2018 XIII International Conference on Electrical Machines (ICEM).
Nandi, A. K., Mondal, S., & Khanra, M., 2021. Modelling of electric vehicle drive toward its range prediction and remaining battery SOC after trip completion. International Journal of Electric and Hybrid Vehicles, 13(2), 145. DOI: https://doi.org/jrsz
Braess, H.-H., & Seiffert, U., Eds., 2013. Vieweg Handbuch Kraftfahrzeugtechnik (7th ed.). Springer Fachmedien.
Tretsiak, D., Häberlein, T., & Bäker, B., 2016. Energy efficient control of the air compressor in a serial hybrid bus based on smart data. IFAC-PapersOnLine, 49(11), 385–392. DOI: https://doi.org/jrs2
Mio, T., Komatsubara, Y., Ohmi, N., Kimoto, Y., Iizuka, K., Suganuma, T., Maruyama, S., Sugiyama, T., Sato, F., Shinoda, S., Hibino, T., & Nishi, K., 2019. Auxiliary power supply system for electric power steering (EPS) and high-heat-resistant lithium-ion capacitor. World Electric Vehicle Journal,10(2), 27. DOI: https://doi.org/jrs3
Andersson, Ch., 2004. On auxiliary systems in commercial vehicles, Doktori disszertáció, Lund University, link: https://www.iea.lth.se/publications/theses/lth-iea-1039.pdf
Fischer, M., Werber, M., & Schwartz, P. V., 2009. Batteries: Higher energy density than gasoline? Energy Policy, 37(7), 2639–2641. DOI: https://doi.org/fj6m44
Boudhrioua, S., & Sipos, T., 2022. Dwell time analysis and priority granting for bus service in Budapest. Periodica Polytechnica Transportation Engineering. DOI: https://doi.org/jrs4
Hawas, Y., 2013. Simulation-based regression models to estimate bus routes and network travel times. Journal of Public Transportation, 16(4), 107.130. DOI: https://doi.org/jrs5
Boren, S., 2019. Electric busesf sustainability effects, noise, energy use, and costs. International Journal of Sustainable Transportation, 1.16. DOI: https://doi.org/gh79d5
Dirks, N., Schiffer, M. and Walther, G., 2022. On the integration of battery electric buses into urban bus networks, Transportation research. Part C, Emerging technologies, 139(103628), p. 103628. DOI: https://doi.org/jrs6
Edwardes, W., & Rakha, H., 2015. Modeling diesel and hybrid bus fuel consumption with Virginia Tech comprehensive powerbased fuel consumption model: Model enhancements and calibration issues: Model enhancements and calibration issues. Transportation Research Record, 2533(1), 100.108. DOI: https://doi.org/jrs7
Garcia, A., Monsalve-Serrano, J., Lago Sari, R., & Tripathi, S., 2022. Life cycle CO. footprint reduction comparison of hybrid and electric buses for bus transit networks. Applied Energy, 308(118354), 118354. DOI: https://doi.org/jrs8
Kang, H., 2008. An analysis of hybridelectric vehicles as the car of the future, BSc szakdolgozat, Massachusetts Institute of Technology, link: http://electric-vehicles.info/library/these/these029.pdf
Lee, J., Shon, H., Papakonstantinou, I., & Son, S., 2021. Optimal fleet, battery, and charging infrastructure planning for reliable electric bus operations. Transportation Research. Part D, Transport and Environment, 100(103066), DOI: https://doi.org/jrs9
Muratori, M., Alexander, M., Arent, D., Bazilian, M., Cazzola, P., Dede, E. M., Farrell, J., Gearhart, C., Greene, D., Jenn, A., Keyser, M., Lipman, T., Narumanchi, S., Pesaran, A., Sioshansi, R., Suomalainen, E., Tal, G., Walkowicz, K., & Ward, J., 2021. The rise of electric vehicles.2020 status and future expectations. Progress in Energy, 3(2), 022002. DOI: https://doi.org/gpcngz
Oliva, J. A., Weihrauch, C., & Bertram, T., 2013. Model-based remaining driving range prediction in electric vehicles by using particle filtering and Markov chains. World Electric Vehicle Journal, 6(1), 204. 213. DOI: https://doi.org/jrtb
Qiu, Q., Li, J., & Yu, H., 2013. Operational planning of electric bus considering battery state of charge. In LTLGB 2012 (pp. 243. 249). Springer Berlin Heidelberg. DOI: https://doi.org/jrtc
Sheth, A., & Sarkar, D., 2019a. Life cycle cost analysis for electric vs. Diesel bus transit in an Indian scenario. International Journal of Technology, 10(1), 105. DOI: https://doi.org/gmj3jn
Vepsalaenen, J., 2017. Driving style comparison of city buses: Electric vs. Diesel. 2017 IEEE Vehicle Power and Propulsion Conference (VPPC). DOI: https://doi.org/jrtd
ZeEUS, 2017. Zeeus ebus report #2. URL: https://zeeus.eu/uploads/publications/documents/zeeus-ebus-report-2.pdf , (Utolso eleres: 2022. julius).
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