IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i12p3543-d574840.html
   My bibliography  Save this article

The Economic Aspect of Using Different Plug-In Hybrid Driving Techniques in Urban Conditions

Author

Listed:
  • Piotr Wróblewski

    (Division of Aircraft Construction and Operation, Faculty of Mechatronics, Institute of Aviation Technology, Armament and Aerospace of the Military University of Technology, Sylwestra Kaliskiego 2, 00-908 Warsaw, Poland)

  • Jerzy Kupiec

    (Faculty of Civil and Transport Engineering, Institute of Machines and Motor Vehicles, Poznan University of Technology, Piotrowo Street 3, 60-965 Poznan, Poland)

  • Wojciech Drożdż

    (Research Center for Management of Energy Sector, Institute of Management, University of Szczecin, Cukrowa Street 8, 71-004 Szczecin, Poland)

  • Wojciech Lewicki

    (Faculty of Economics, West Pomeranian University of Technology Szczecin, Zołnierska 47, 71-210 Szczecin, Poland)

  • Jarosław Jaworski

    (Research Center for Management of Energy Sector, Institute of Management, University of Szczecin, Cukrowa Street 8, 71-004 Szczecin, Poland)

Abstract

Plug-in hybrids (PHEV) have become popular due to zero-emission driving, e.g., in urban areas, and using an internal combustion engine on longer distances. Energy consumption by the PHEV depends on many factors which can be either dependent or independent of the driver. The article examines how the driver can use the vehicle’s capabilities to influence its wear. Determining the optimal driving technique, due to the adopted nature of the timetable, is the basic variable that determines the profitability of using a given drive system. Four driving techniques have been selected to determine which one can offer the largest advantages. A vehicle-dedicated application has recorded the drivetrain performance on a predetermined route through an urban area. The analysis of results has demonstrated which of the driving techniques provides measurable effects in terms of reduced energy consumption and the shortest travelling time. The study shows longitudinal acceleration and torque generated by the electric drive. The information included in the study can help any PHEV user reduce the operating cost by applying an appropriate driving technique. The proposed research introduces the possibilities of assessing the influence of the driving style on energy consumption. The innovative side of this research is the observation of stochastic phenomena that are difficult to detect when using approximation modelling.

Suggested Citation

  • Piotr Wróblewski & Jerzy Kupiec & Wojciech Drożdż & Wojciech Lewicki & Jarosław Jaworski, 2021. "The Economic Aspect of Using Different Plug-In Hybrid Driving Techniques in Urban Conditions," Energies, MDPI, vol. 14(12), pages 1-17, June.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3543-:d:574840
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/12/3543/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/12/3543/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yuan Zou & Hou Shi-jie & Li Dong-ge & Gao Wei & Xiao-song Hu, 2013. "Optimal Energy Control Strategy Design for a Hybrid Electric Vehicle," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-8, February.
    2. Garth Heutel & Erich Muehlegger, 2015. "Consumer Learning and Hybrid Vehicle Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(1), pages 125-161, September.
    3. Koetse, Mark J. & Hoen, Anco, 2014. "Preferences for alternative fuel vehicles of company car drivers," Resource and Energy Economics, Elsevier, vol. 37(C), pages 279-301.
    4. Sajjad, H. & Masjuki, H.H. & Varman, M. & Kalam, M.A. & Arbab, M.I. & Imtenan, S. & Rahman, S.M. Ashrafur, 2014. "Engine combustion, performance and emission characteristics of gas to liquid (GTL) fuels and its blends with diesel and bio-diesel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 961-986.
    5. Shabbir, Wassif & Evangelou, Simos A., 2014. "Real-time control strategy to maximize hybrid electric vehicle powertrain efficiency," Applied Energy, Elsevier, vol. 135(C), pages 512-522.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mariusz Niekurzak & Jerzy Mikulik, 2021. "Modeling of Energy Consumption and Reduction of Pollutant Emissions in a Walking Beam Furnace Using the Expert Method—Case Study," Energies, MDPI, vol. 14(23), pages 1-22, December.
    2. Trieu Minh Vu & Reza Moezzi & Jindrich Cyrus & Jaroslav Hlava & Michal Petru, 2021. "Automatic Clutch Engagement Control for Parallel Hybrid Electric Vehicle," Energies, MDPI, vol. 14(21), pages 1-15, November.
    3. Despoina Kothona & Aggelos S. Bouhouras, 2022. "A Two-Stage EV Charging Planning and Network Reconfiguration Methodology towards Power Loss Minimization in Low and Medium Voltage Distribution Networks," Energies, MDPI, vol. 15(10), pages 1-17, May.
    4. Weiyi Lin & Han Zhao & Bingzhan Zhang & Ye Wang & Yan Xiao & Kang Xu & Rui Zhao, 2022. "Predictive Energy Management Strategy for Range-Extended Electric Vehicles Based on ITS Information and Start–Stop Optimization with Vehicle Velocity Forecast," Energies, MDPI, vol. 15(20), pages 1-27, October.
    5. Narongkorn Uthathip & Pornrapeepat Bhasaputra & Woraratana Pattaraprakorn, 2021. "Stochastic Modelling to Analyze the Impact of Electric Vehicle Penetration in Thailand," Energies, MDPI, vol. 14(16), pages 1-23, August.
    6. Piotr Rosik & Sławomir Goliszek & Tomasz Komornicki & Patryk Duma, 2021. "Forecast of the Impact of Electric Car Battery Performance and Infrastructural and Demographic Changes on Cumulative Accessibility for the Five Most Populous Cities in Poland," Energies, MDPI, vol. 14(24), pages 1-12, December.
    7. Konstantina Anastasiadou & Nikolaos Gavanas & Magda Pitsiava-Latinopoulou & Evangelos Bekiaris, 2021. "Infrastructure Planning for Autonomous Electric Vehicles, Integrating Safety and Sustainability Aspects: A Multi-Criteria Analysis Approach," Energies, MDPI, vol. 14(17), pages 1-19, August.
    8. Tobias Frambach & Ralf Kleisch & Ralf Liedtke & Jochen Schwarzer & Egbert Figgemeier, 2022. "Environmental Impact Assessment and Classification of 48 V Plug-in Hybrids with Real-Driving Use Case Simulations," Energies, MDPI, vol. 15(7), pages 1-21, March.
    9. Shaheer Ansari & Afida Ayob & Molla Shahadat Hossain Lipu & Aini Hussain & Mohamad Hanif Md Saad, 2021. "Multi-Channel Profile Based Artificial Neural Network Approach for Remaining Useful Life Prediction of Electric Vehicle Lithium-Ion Batteries," Energies, MDPI, vol. 14(22), pages 1-22, November.
    10. Elżbieta Macioszek & Maria Cieśla & Anna Granà, 2023. "Future Development of an Energy-Efficient Electric Scooter Sharing System Based on a Stakeholder Analysis Method," Energies, MDPI, vol. 16(1), pages 1-24, January.
    11. Hamza Mediouni & Amal Ezzouhri & Zakaria Charouh & Khadija El Harouri & Soumia El Hani & Mounir Ghogho, 2022. "Energy Consumption Prediction and Analysis for Electric Vehicles: A Hybrid Approach," Energies, MDPI, vol. 15(17), pages 1-17, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuanjian Zhang & Liang Chu & Zicheng Fu & Nan Xu & Chong Guo & Yukuan Li & Zhouhuan Chen & Hanwen Sun & Qin Bai & Yang Ou, 2017. "An Economical Route Planning Method for Plug-In Hybrid Electric Vehicle in Real World," Energies, MDPI, vol. 10(11), pages 1-23, November.
    2. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    3. Mao, Guozhu & Zou, Hongyang & Chen, Guanyi & Du, Huibin & Zuo, Jian, 2015. "Past, current and future of biomass energy research: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1823-1833.
    4. Globisch, Joachim & Dütschke, Elisabeth & Schleich, Joachim, 2018. "Acceptance of electric passenger cars in commercial fleets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 122-129.
    5. Soriano, J.A. & Mata, C. & Armas, O. & Ávila, C., 2018. "A zero-dimensional model to simulate injection rate from first generation common rail diesel injectors under thermodynamic diagnosis," Energy, Elsevier, vol. 158(C), pages 845-858.
    6. Chun Yang & Jui-Che Tu & Qianling Jiang, 2020. "The Influential Factors of Consumers’ Sustainable Consumption: A Case on Electric Vehicles in China," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    7. Nathan Delacrétaz & Bruno Lanz & Jeremy van Dijk, 2020. "The chicken or the egg: Technology adoption and network infrastructure in the market for electric vehicles," IRENE Working Papers 20-08, IRENE Institute of Economic Research.
    8. Byun, Hyunsuk & Shin, Jungwoo & Lee, Chul-Yong, 2018. "Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles," Energy, Elsevier, vol. 144(C), pages 312-321.
    9. Filippini, Massimo & Wekhof, Tobias, 2021. "The effect of culture on energy efficient vehicle ownership," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    10. Miranda, Matheus H.R. & Silva, Fabrício L. & Lourenço, Maria A.M. & Eckert, Jony J. & Silva, Ludmila C.A., 2022. "Vehicle drivetrain and fuzzy controller optimization using a planar dynamics simulation based on a real-world driving cycle," Energy, Elsevier, vol. 257(C).
    11. Dastrup, Samuel R. & Graff Zivin, Joshua & Costa, Dora L. & Kahn, Matthew E., 2012. "Understanding the Solar Home price premium: Electricity generation and “Green” social status," European Economic Review, Elsevier, vol. 56(5), pages 961-973.
    12. Do, Thai Ngan & Hur, Young Gul & Chung, Hegwon & Kim, Jiyong, 2023. "Potentials and benefit assessment of green fuels from residue gas via gas-to-liquid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    13. Wei, Changyin & Sun, Xiuxiu & Chen, Yong & Zang, Libin & Bai, Shujie, 2021. "Comparison of architecture and adaptive energy management strategy for plug-in hybrid electric logistics vehicle," Energy, Elsevier, vol. 230(C).
    14. Elena Higueras-Castillo & Sebastian Molinillo & J. Andres Coca-Stefaniak & Francisco Liébana-Cabanillas, 2019. "Perceived Value and Customer Adoption of Electric and Hybrid Vehicles," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    15. Bruno Lanz and Evert Reins, 2021. "Asymmetric Information on the Market for Energy Efficiency: Insights from the Credence Goods Literature," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    16. James M. Sallee, 2011. "The Taxation of Fuel Economy," Tax Policy and the Economy, University of Chicago Press, vol. 25(1), pages 1-38.
    17. Xing, Jianwei & Leard, Benjamin & Li, Shanjun, 2021. "What does an electric vehicle replace?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    18. Xuefang Li & Chenhui Liu & Jianmin Jia, 2019. "Ownership and Usage Analysis of Alternative Fuel Vehicles in the United States with the 2017 National Household Travel Survey Data," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    19. Burghard, Uta & Scherrer, Aline & Dütschke, Elisabeth & Globisch, Joachim, 2020. "Social acceptance of electric mobility in Germany," Working Papers "Sustainability and Innovation" S12/2020, Fraunhofer Institute for Systems and Innovation Research (ISI).
    20. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert, 2016. "Comparing high-end and low-end early adopters of battery electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 40-57.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3543-:d:574840. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.