Comparison of the cumulative energy demand of BEV and FCEV in their long-term operation

The paper presents a method of using the theory of cumulative energy demand to assess this demand in long-term operation of vehicles with a mileage forecast of up to 350,000 km. Based on the results of operational "consumption" of energy and taking into account the energy "costs" of obtaining it, a comparison of the currently popular BEV’s (Battery Electric Vehicles) and FCEV’s (Fuel Cell Electric Vehicles) was presented. The question arises how much energy must be used to propel vehicles in their natural operation. After calculating with using of available data, the answer is – by operating of FCEV’s in average two time more electricity is need as by operating of BEV’s.

REFERENCES (14)

Aksoy A, Küçükoğlu İ, Ene S, Öztürk N. Integrated emission and fuel consumption calculation model for green supply chain management. Procedia – Social and Behavioral Sciences. 2014;109:1106-1109. https://doi.org/10.1016/j.sbsp....

CrossRef

Google Scholar

Balcı Ö, Karagöz Y, Gezer O, Kale S, Köten H, Pusat S et al. Numerical and experimental investigation of fuel consumption and CO2 emission performance for a parallel hybrid vehicle. Alexandria Eng J. 2021;60(4):3649-3667. https://doi.org/10.1016/j.aej.....

CrossRef

Google Scholar

Braun A, Rid W. Energy consumption of an electric and an internal combustion passenger car. A comparative case study from real world data on the Erfurt circuit in Germany. Transp Res Procedia. 2017;27:468-475. https://doi.org/10.1016/j.trpr....

CrossRef

Google Scholar

Girtler J. Possibility of estimating the reliability of diesel engines by applying the theory of semi-Markov processes and making operational decisions by considering reliability of diagnosis on technical state of this sort of combustion engines. Combustion Engines. 2015;163(4):57-66. https://doi.org/10.19206/CE-11....

CrossRef

Google Scholar

Greene DL, Liu J, Khattak AJ, Wali B, Hopson JL, Goeltz R. How does on-road fuel economy vary with vehicle cumulative mileage and daily use? Transport Res D-Tr E. 2017;55:142-161. https://doi.org/10.1016/j.trd.....

CrossRef

Google Scholar

Katreddi S, Thiruvengadam A. Trip based modeling of fuel consumption in modern heavy-duty vehicles using artificial intelligence. Energies. 2021;14(24):8592. https://doi.org/10.3390/en1424....

CrossRef

Google Scholar

Kropiwnicki J, Kortas P. Potentials for fuel consumption reduction by using electronic driver assistance systems. Combustion Engines. 2013;154(3):250-256.

Google Scholar

Li W, Stanula P, Egede P, Kara S, Herrmann C. Determining the main factors influencing the energy consumption of electric vehicles in the usage phase. Procedia CIRP. 2016;48:352-357. https://doi.org/10.1016/j.proc....

CrossRef

Google Scholar

Sitnik LJ. Energy demand assessment for long term operation of vehicles. SAE Technical Paper 2020-01-2165. 2020. https://doi.org/10.4271/2020-0....

CrossRef

Google Scholar

10.

Sitnik L. Engine eco fuels. Wroclaw Publishing House (in Polish). Wroclaw 2004.

Google Scholar

11.

Spritmonitor. https://www.spritmonitor.de/.

Google Scholar

12.

Travesset-Baro O, Rosas-Casals M, Jover E. Transport energy consumption in mountainous roads. A comparative case study for internal combustion engines and electric vehicles in Andorra. Transport Res D-Tr E. 2015;34:16-26. https://doi.org/10.1016/j.trd.....

CrossRef

Google Scholar

13.

Usmanov U, Ruzimov S, Tonoli A, Mukhitdinov A. Modeling, simulation and control strategy optimization of fuel cell hybrid electric vehicle. Vehicles. 2023;5(2):464-481. https://doi.org/10.3390/vehicl....

CrossRef

Google Scholar

14.

Xu Y, Zhang H, Yang Y, Zhang J, Yang F, Yan D et al. Optimization of energy management strategy for extended range electric vehicles using multi-island genetic algorithm. J Energy Storage. 2023;61:106802. https://doi.org/10.1016/j.est.....

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