IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i10p2872-d555646.html
   My bibliography  Save this article

The Influence of Engine Downsizing in Hybrid Powertrains on the Energy Flow Indicators under Actual Traffic Conditions

Author

Listed:
  • Andrzej Szałek

    (Toyota Motor Poland, ul. Konstruktorska 5, 02-673 Warszawa, Poland)

  • Ireneusz Pielecha

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

Abstract

The development of internal combustion engines is currently based around the ideas of downsizing and rightsizing. These trends, however, are not very widespread in vehicles with hybrid drive systems. Nevertheless, the authors analyzed the performance indicators of hybrid drives in downsized vehicles. Two generations of a vehicle model, equipped with hybrid drive systems, were used in the analysis in which not only the design of the internal combustion engine was changed, but also other hybrid drive systems (including the transmission, electric motors and high-voltage batteries). The paper analyzes the energy flow in two hybrid vehicles of different generations during tests in real road driving conditions in accordance with the requirements of the RDE (real driving emissions) tests. The authors have confirmed that newer vehicle designs extend the vehicle range by 38% in the electric mode under the conditions of road traffic (68% in the urban conditions). The application of a combustion engine with better operating indexes did not result in its greater load, but led to limitation of the maximum pressure-volume (PV) diagram. The change of the battery to Li-ion, despite its lower electric and energy capacity, led to an increase in vehicle’s working parameters (power and regenerative braking).

Suggested Citation

  • Andrzej Szałek & Ireneusz Pielecha, 2021. "The Influence of Engine Downsizing in Hybrid Powertrains on the Energy Flow Indicators under Actual Traffic Conditions," Energies, MDPI, vol. 14(10), pages 1-12, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2872-:d:555646
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/10/2872/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/10/2872/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Jinxing, 2017. "Research and application of over-expansion cycle (Atkinson and Miller) engines – A review," Applied Energy, Elsevier, vol. 185(P1), pages 300-319.
    2. Tran, Dai-Duong & Vafaeipour, Majid & El Baghdadi, Mohamed & Barrero, Ricardo & Van Mierlo, Joeri & Hegazy, Omar, 2020. "Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    3. Huang, Yanjun & Wang, Hong & Khajepour, Amir & Li, Bin & Ji, Jie & Zhao, Kegang & Hu, Chuan, 2018. "A review of power management strategies and component sizing methods for hybrid vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 132-144.
    4. Sachin Chaturvedi, 2016. "The Development Compact," International Studies, , vol. 53(1), pages 15-43, January.
    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. Jae-Oh Han & Won-Hyeong Jeong & Jong-Seok Lee & Se-Hoon Oh, 2021. "The Structure and Optimal Gear Tooth Profile Design of Two-Speed Transmission for Electric Vehicles," Energies, MDPI, vol. 14(13), pages 1-18, June.
    2. Fabio Orecchini & Adriano Santiangeli & Fabrizio Zuccari & Adriano Alessandrini & Fabio Cignini & Fernando Ortenzi, 2021. "Real Drive Truth Test of the Toyota Yaris Hybrid 2020 and Energy Analysis Comparison with the 2017 Model," Energies, MDPI, vol. 14(23), pages 1-22, December.
    3. Andrzej Szałek & Ireneusz Pielecha & Wojciech Cieslik, 2021. "Fuel Cell Electric Vehicle (FCEV) Energy Flow Analysis in Real Driving Conditions (RDC)," Energies, MDPI, vol. 14(16), pages 1-17, August.

    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. Dong, Peng & Zhao, Junwei & Liu, Xuewu & Wu, Jian & Xu, Xiangyang & Liu, Yanfang & Wang, Shuhan & Guo, Wei, 2022. "Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: Development stages, challenges, and future trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    2. Baodi Zhang & Sheng Guo & Xin Zhang & Qicheng Xue & Lan Teng, 2020. "Adaptive Smoothing Power Following Control Strategy Based on an Optimal Efficiency Map for a Hybrid Electric Tracked Vehicle," Energies, MDPI, vol. 13(8), pages 1-25, April.
    3. Lin Li & Serdar Coskun & Jiaze Wang & Youming Fan & Fengqi Zhang & Reza Langari, 2021. "Velocity Prediction Based on Vehicle Lateral Risk Assessment and Traffic Flow: A Brief Review and Application Examples," Energies, MDPI, vol. 14(12), pages 1-30, June.
    4. Shi, Dehua & Liu, Sheng & Cai, Yingfeng & Wang, Shaohua & Li, Haoran & Chen, Long, 2021. "Pontryagin’s minimum principle based fuzzy adaptive energy management for hybrid electric vehicle using real-time traffic information," Applied Energy, Elsevier, vol. 286(C).
    5. Woong Lee & Tacksu Kim & Jongryeol Jeong & Jaewoo Chung & Deokjin Kim & Beomho Lee & Namwook Kim, 2020. "Control Analysis of a Real-World P2 Hybrid Electric Vehicle Based on Test Data," Energies, MDPI, vol. 13(16), pages 1-15, August.
    6. Pierpaolo Polverino & Ivan Arsie & Cesare Pianese, 2021. "Optimal Energy Management for Hybrid Electric Vehicles Based on Dynamic Programming and Receding Horizon," Energies, MDPI, vol. 14(12), pages 1-11, June.
    7. Osorio, Julian D. & Rivera-Alvarez, Alejandro, 2018. "Efficiency enhancement of spark-ignition engines using a Continuous Variable Valve Timing system for load control," Energy, Elsevier, vol. 161(C), pages 649-662.
    8. Yi Zhang & Qiang Guo & Jie Song, 2023. "Internet-Distributed Hardware-in-the-Loop Simulation Platform for Plug-In Fuel Cell Hybrid Vehicles," Energies, MDPI, vol. 16(18), pages 1-17, September.
    9. Shen, Kai & Xu, Zishun & Chen, Hong & Zhang, Zhendong, 2021. "Investigation on the EGR effect to further improve fuel economy and emissions effect of Miller cycle turbocharged engine," Energy, Elsevier, vol. 215(PB).
    10. Guo, Hongqiang & Hou, Daizheng & Du, Shangye & Zhao, Ling & Wu, Jian & Yan, Ning, 2020. "A driving pattern recognition-based energy management for plug-in hybrid electric bus to counter the noise of stochastic vehicle mass," Energy, Elsevier, vol. 198(C).
    11. Wang, Dawei & Shi, Lei & Zhu, Sipeng & Liu, Bo & Qian, Yuehua & Deng, Kangyao, 2020. "Numerical and thermodynamic study on effects of high and low pressure exhaust gas recirculation on turbocharged marine low-speed engine," Applied Energy, Elsevier, vol. 261(C).
    12. Singh, Somendra Pratap & Hanif, Athar & Ahmed, Qadeer & Meijer, Maarten & Lahti, John, 2022. "Optimal management of electric hotel loads in mild hybrid heavy duty truck," Applied Energy, Elsevier, vol. 326(C).
    13. Ziqi Zhang & Wanyong Li & Junye Shi & Jiangping Chen, 2016. "A Study on Electric Vehicle Heat Pump Systems in Cold Climates," Energies, MDPI, vol. 9(11), pages 1-11, October.
    14. Chen, Z. & Liu, Y. & Ye, M. & Zhang, Y. & Chen, Z. & Li, G., 2021. "A survey on key techniques and development perspectives of equivalent consumption minimisation strategy for hybrid electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    15. Chen, Jiaxin & Shu, Hong & Tang, Xiaolin & Liu, Teng & Wang, Weida, 2022. "Deep reinforcement learning-based multi-objective control of hybrid power system combined with road recognition under time-varying environment," Energy, Elsevier, vol. 239(PC).
    16. Lombardi, Simone & Di Ilio, Giovanni & Tribioli, Laura & Jannelli, Elio, 2023. "Optimal design of an adaptive energy management strategy for a fuel cell tractor operating in ports," Applied Energy, Elsevier, vol. 352(C).
    17. Pedrozo, Vinícius B. & Zhao, Hua, 2018. "Improvement in high load ethanol-diesel dual-fuel combustion by Miller cycle and charge air cooling," Applied Energy, Elsevier, vol. 210(C), pages 138-151.
    18. Gustavo Navarro & Jorge Torres & Marcos Blanco & Jorge Nájera & Miguel Santos-Herran & Marcos Lafoz, 2021. "Present and Future of Supercapacitor Technology Applied to Powertrains, Renewable Generation and Grid Connection Applications," Energies, MDPI, vol. 14(11), pages 1-29, May.
    19. Bhattacharjee, Debraj & Ghosh, Tamal & Bhola, Prabha & Martinsen, Kristian & Dan, Pranab K., 2019. "Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance," Energy, Elsevier, vol. 183(C), pages 235-248.
    20. Matthieu Matignon & Toufik Azib & Mehdi Mcharek & Ahmed Chaibet & Adriano Ceschia, 2023. "Real-Time Integrated Energy Management Strategy Applied to Fuel Cell Hybrid Systems," Energies, MDPI, vol. 16(6), pages 1-21, March.

    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:10:p:2872-:d:555646. 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.