Abstract
The development of electric vehicles (EV’s) has been growing in last decade since is a promising technology that will optimize the use of energy. The estimation of energy consumption is a key task to design and select components of power train, control strategies and predict lifecycle. Some factors such as road slope, temperature, type of route, driver’s behavior directly affect the energy consumption. This article provides an easy methodology to estimate energy consumption for an electric utility vehicle (EUV) using Green Race Software, which allows different types of routes, estimate a road slope, energy consumption and percentage of regeneration. From this analysis, is possible to decide the best route for harvesting cocoa and sizing the powertrain of the vehicle before purchasing materials. The most important advantage of the proposal method is that can be used in early stage of design and assembly of EV’s.
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References
El Amrani, S.: Chennani, M., Belkhayat, D.: Comparative study of electric vehicle energy consumption between trunk roads and highways. In: Proceedings 2019 7th International Renewable and Sustainable Energy Conference (IRSEC), pp. 1–7 (2019)
Gołȩbiewski, W., Lisowski, M.: Theoretical analysis of electric vehicle energy consumption according to different driving cycles. In: IOP Conference Series: Materials Science and Engineering (Vol. 421, No. 2, p. 022010). IOP Publishing (2018)
Levin, M.W., Duell, M., Waller, S.T.: Effect of road grade on network wide vehicle energy consumption and ecorouting. Transp. Res. Rec. 2427, 26–33 (2014)
Wang, J., Besselink, I., Nijmeijer, H.: Electric vehicle energy consumption modelling and prediction based on road information. World Electr. Veh. J. 7(3), 447–458 (2015)
Wang, J., Besselink, I., Nijmeijer, H.: Battery electric vehicle energy consumption prediction for a trip based on route information. Proc. Inst. Mech. Eng. D J. Automob. Eng. 232(11), 1528–1542 (2018)
Sweeting, W.J., Hutchinson, A.R., Savage, S.D.: Factors affecting electric vehicle energy consumption. Int. J. Sustain. Eng. 4(3), 192–201 (2011)
Liu, K., Wang, J., Yamamoto, T., Morikawa, T.: Exploring the interactive effects of ambient temperature and vehicle auxiliary loads on electric vehicle energy consumption. Appl. Energy 227(August), 324–331 (2018)
Iora, P., Tribioli, L.: Effect of ambient temperature on electric vehicles’ energy consumption and range: Model definition and sensitivity analysis based on Nissan Leaf data. World Electr. Veh. J. 10(1), 1–15 (2019)
Huertas, J.I., Quirama, L.F., Giraldo, M., Díaz, J.: Comparison of three methods for constructing real driving cycles. Energies 12(4), 665 (2019)
Duell, M., Levin, M., Waller, S.T.: Urban vehicle energy consumption for policy evaluation: Impact of electric vehicles. In: 19th International Conference of Hong Kong Society for Transportation Studies: Transportation and Infrastructure, HKSTS 2014, pp. 271–278 (2014)
Březina, T.: Mechatronics 2017 - preface. Adv. Intell. Syst. Comput. 644, 5 (2018)
Ye, F., Wu, G., Boriboonsomsin, K., Barth, M.J.: A hybrid approach to estimating electric vehicle energy consumption for ecodriving applications. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 719–724 (2016)
Coiret, A.L., Vandanjon, P.O., Deljanin, E., Ortiz, M., Lorino, T.: Management of road speed sectioning to lower vehicle energy consumption. Transp. Res. Procedia 45, 724–731 (2020)
Sagaama, I., Kchiche, A., Trojet, W., Kamoun, F.: Impact of road gradient on electric vehicle energy consumption in real-world driving. In: International Conference on Advanced Information Networking and Applications, pp. 393–404 (2020)
Rincón-Quintero, A.D., et al.: Manufacture of hybrid pieces using recycled R-PET, polypropylene PP and cocoa pod husks ash CPHA, by pneumatic injection controlled with LabVIEW Software and Arduino Hardware. In: IOP Conference Series: Materials Science and Engineering, Vol. 844, No. 1, p. 012054 (2020)
Pettersson, P., Johannesson, P., Jacobson, B., Bruzelius, F., Fast, L., Berglund, S.: A statistical operating cycle description for prediction of road vehicles’ energy consumption. Transp. Res. Part D Transp. Environ. 73, 205–229 (2019)
Luin, B., Petelin, S., Al Mansour, F.: Modeling the impact of road network configuration on vehicle energy consumption. Energy 137, 260–271 (2017)
Jiménez, D., Hernández, S., Fraile-Ardanuy, J., Serrano, J., Fernández, R., Alvarez, F.: Modelling the effect of driving events on electrical vehicle energy consumption using inertial sensors in smartphones. Energies 11(2), 412 (2018)
McNerney, J., Needell, Z.A., Chang, M.T., Miotti, M., Trancik, J.E.: Tripenergy: estimating personal vehicle energy consumption given limited travel survey data. Transp. Res. Rec. 2628(1), 58–66 (2017)
Fiori, C., Ahn, K., Rakha, H.A.: Power-based electric vehicle energy consumption model: model development and validation. Appl. Energy 168, 257–268 (2016)
Wang, J., Besselink, I., Nijmeijer, H.: Online prediction of battery electric vehicle energy consumption. World Electr. Veh. J. 8(1), 213–224 (2016)
Suárez, Y.J., Hernández, F.A.: Manejo de las enfermedades del cacao (2010)
Yao, E., Yang, Z., Song, Y., Zuo, T.: Comparison of electric vehicle’s energy consumption factors for different road types. Discret. Dyn. Nat. Soc. 2013 (2013)
Fotouhi, A., Shateri, N., Shona Laila, D., Auger, D.J.: Electric vehicle energy consumption estimation for a fleet management system. Int. J. Sustain. Transp. 15(1), 40-54 (2019)
Guo, Q., Zhao, Z., Shen, P., Zhan, X., Li, J.: Adaptive optimal control based on driving style recognition for plug-in hybrid electric vehicle. Energy 186, 115824 (2019)
Song, L., Liang, T., Lu, L., Ouyang, M.: Lithium-ion battery pack equalization based on charging voltage curves. Int. J. Electr. Power Energy Syst. 115, 105516 (2020)
Xu, W., Chen, H., Zhao, H., Ren, B.: Torque optimization control for electric vehicles with four in-wheel motors equipped with regenerative braking system. Mechatronics 57, pp. 95–108 (2019)
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Garrido-Silva, G., Maradey-Lazaro, J.G., Rincón-Quintero, A.D., Lengerke-Pérez, O., Sandoval-Rodriguez, C.L., Cardenas-Arias, C.G. (2021). Estimation of the Energy Consumption of an Electric Utility Vehicle: A Case Study. In: Botto Tobar, M., Cruz, H., Díaz Cadena, A. (eds) Recent Advances in Electrical Engineering, Electronics and Energy. CIT 2020. Lecture Notes in Electrical Engineering, vol 763. Springer, Cham. https://doi.org/10.1007/978-3-030-72212-8_19
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