Abstract
In this paper the factors that influence the energy consumption of electric vehicles are examined. The main factors affecting the driving resistance such as load, grades, vehicle speed, and additional factors are considered. For example the climate control system and the influence of ambient temperature on the electric vehicle range. The impact of the electric drive efficiency map is also taken into account. The impact of each of the factors was evaluated through a numerical study. Recommendations are given for the strategy of an adaptive predictive model for the energy management of an electric vehicle. To be planned the point of next recharge for a long distance trip, the travel conditions must be taken into account. This is done by measuring some parameters before and during the trip. The information from GPS navigation for the intended trip must also be taken into account. It could give information for road inclines and the location of the charging stations.
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References
Battery University, BU-502: Discharging at High and Low Temperatures. https://batteryuniversity.com/learn/article/discharging_at_high_and_low_temperatures. Accessed 06 Apr 2020
Břoušek, J., Zvolský, T.: Experimental study of electric vehicle gearbox efficiency. In: Gigov, B., Nikolov, N., Stoilova, S., Kralov, I., Todorov, M., Stoilov, V. (eds.) BulTrans-2018, MATEC Web of Conferences, vol. 234, p. 02004 (2018). https://doi.org/10.1051/matecconf/2018234004
Dimitrova, Z.: Vehicle propulsion systems design methods. In: Gigov, B., Nikolov, N., Stoilov, V., Todorov, M. (eds.) BulTrans-2017, MATEC Web of Conferences, vol. 133, p. 02001 (2017). https://doi.org/10.1051/matecconf/201713302001
Dimitrova, Z.: Optimal designs of electric vehicles for long-range mobility. In: Gigov, B., Nikolov, N., Stoilova, S., Kralov, I., Todorov, M., Stoilov, V. (eds.) BulTrans-2018, MATEC Web of Conferences, vol. 234, p. 02001 (2018). https://doi.org/10.1051/matecconf/201823402001
Dobrev, I., Massouh, F., Danlos, A., Todorov, M., Punov, P.: Experimental and numerical study of the flow field around a small car. In: Gigov, B., Nikolov, N., Stoilov, V., Todorov, M. (eds.) BulTrans-2017, MATEC Web of Conferences, vol. 133, p. 02004 (2017). https://doi.org/10.1051/matecconf/201713302004
ERTRAC, European Road Map, Electrification of Road Transport, 3rd edn. (2017). https://www.ertrac.org/uploads/documentsearch/id50/ERTRAC_ElectrificationRoadmap2017.pdf. Accessed 10 Apr 2020
European Commission. CO2 emission performance standards for cars and vans (2020 onwards). https://ec.europa.eu/clima/policies/transport/vehicles/regulation_en. Accessed 10 Apr 2020
Evtimov, I., Ivanov, R., Stanchev, H., Kadikyanov, G., Staneva, G., Sapundzhiev, M.: Energy efficiency and ecological impact of the vehicles. In: Sładkowski, A. (ed.) Ecology in Transport: Problems and Solutions. LNNS, vol. 124, pp. 169–250. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-42323-0_4
Farrington, R., Rugh, J.: Impact of Vehicle Air Conditioning on Fuel Economy, Tailpipe Emissions, and Electric Vehicle Range. Earth Technologies Forum Washington, D.C, 31 October 2000
https://dv.parliament.bg/DVWeb/showMaterialDV.jsp?idMat=129951. Accessed 08 Apr 2020
Macher, G., Armengaud, E., Schneider, D., Brenner, E., Kreiner, C.: Towards dependability engineering of cooperative automotive cyber-physical systems. In: Stolfa, J., Stolfa, S., O’Connor, R.V., Messnarz, R. (eds.) EuroSPI 2017. CCIS, vol. 748, pp. 205–215. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-64218-5_16
Messnarz, R., Ekert, D., Grunert, F., Blume, A.: Cross-cutting approach to integrate functional and material design in a system architectural design – example of an electric powertrain. In: Walker, A., O’Connor, R.V., Messnarz, R. (eds.) EuroSPI 2019. CCIS, vol. 1060, pp. 322–338. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-28005-5_25
PSA GROUPE. https://www.groupe-psa.com/en/automotive-group/innovation. Accessed 10 Apr 2020
Reddy, T.: Linden’s Handbook of Batteries, 4th edn. McGraw-Hill Education, New York (2010)
https://2020.eurospi.net/index.php/manifesto. Accessed 02 Apr 2020
The SPI Manifesto: EuroSPI 2009, Alcala (2009). https://2019.eurospi.net/images/eurospi/spi_manifesto.pdf
Korsaa, M., et al.: The people aspects in modern process improvement management approaches. J. Softw.: Evol. Process 25(4), 381–391 (2013)
Acknowledgements
This work is supported by the ECEPE project. The ECQA Certified Electric Powertrain Engineer project (ECEPE) is co-funded by the Erasmus+ Call 2019 Round 1 KA203 Programme of the European Union under the agreement 2019-1-CZ01-KA203-061430.
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Pavlov, N., Gigov, B., Stefanova-Pavlova, M., Dimitrova, Z. (2020). Adaptive Predictive Energy Management Strategy Example for Electric Vehicle Long Distance Trip. In: Yilmaz, M., Niemann, J., Clarke, P., Messnarz, R. (eds) Systems, Software and Services Process Improvement. EuroSPI 2020. Communications in Computer and Information Science, vol 1251. Springer, Cham. https://doi.org/10.1007/978-3-030-56441-4_6
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