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Application and Efficiency of a Series-Hybrid Drive for Agricultural Use Based on a Modified Version of the World Harmonized Transient Cycle

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  • Ugnė Koletė Medževeprytė

    (Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentų Str. 56, 51424 Kaunas, Lithuania)

  • Rolandas Makaras

    (Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentų Str. 56, 51424 Kaunas, Lithuania)

  • Vaidas Lukoševičius

    (Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentų Str. 56, 51424 Kaunas, Lithuania)

  • Sigitas Kilikevičius

    (Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentų Str. 56, 51424 Kaunas, Lithuania)

Abstract

Off-road vehicles and transportation are vital for agricultural economics, yet the transition to green energies is challenging. To make this transition easier, a tool that enables the testing of heavy-duty off-road vehicles in various scenarios was created. Based on the methods of the World Harmonized Transient Cycle (WHTC), a new Hybrid Operational Cycle (HOC) that reflects the features of agricultural work was created and applied in a graphical model simulation. This was a newly developed methodology. The cycle and the model were based on gathered research data. A numerical model of a medium-power tractor with an internal combustion engine and a series-hybrid setup was created, and simulations were performed in Matlab and AVL Cruise. Both diesel and hybrid vehicles were compared in terms of their power production, fuel consumption, and efficiency in fieldwork and transportation scenarios. The results showed that a series-hybrid transmission can achieve an efficiency similar to that of a tractor with a continuously variable transmission (CVT), but because it uses an electric powertrain, it still provides the opportunity to exploit energy regeneration during transportation and under low-load conditions. The designed model may also be used to develop control algorithms for hybrid drives and improve their efficiency.

Suggested Citation

  • Ugnė Koletė Medževeprytė & Rolandas Makaras & Vaidas Lukoševičius & Sigitas Kilikevičius, 2023. "Application and Efficiency of a Series-Hybrid Drive for Agricultural Use Based on a Modified Version of the World Harmonized Transient Cycle," Energies, MDPI, vol. 16(14), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5379-:d:1194192
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    References listed on IDEAS

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    1. Weiwei Yang & Jiejunyi Liang & Jue Yang & Nong Zhang, 2018. "Investigation of a Novel Coaxial Power-Split Hybrid Powertrain for Mining Trucks," Energies, MDPI, vol. 11(1), pages 1-18, January.
    2. Zhen Zhu & Lingxin Zeng & Long Chen & Rong Zou & Yingfeng Cai, 2022. "Fuzzy Adaptive Energy Management Strategy for a Hybrid Agricultural Tractor Equipped with HMCVT," Agriculture, MDPI, vol. 12(12), pages 1-21, November.
    3. Kim, Dong-Min & Lee, Soo-Gyung & Kim, Dae-Kee & Park, Min-Ro & Lim, Myung-Seop, 2022. "Sizing and optimization process of hybrid electric propulsion system for heavy-duty vehicle based on Gaussian process modeling considering traction motor characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    4. Hongtu Yang & Yan Sun & Changgao Xia & Hongdang Zhang, 2022. "Research on Energy Management Strategy of Fuel Cell Electric Tractor Based on Multi-Algorithm Fusion and Optimization," Energies, MDPI, vol. 15(17), pages 1-15, September.
    5. Xie, Shanshan & He, Hongwen & Peng, Jiankun, 2017. "An energy management strategy based on stochastic model predictive control for plug-in hybrid electric buses," Applied Energy, Elsevier, vol. 196(C), pages 279-288.
    6. Drew Kodjak & Ben Sharpe & Oscar Delgado, 2015. "Evolution of heavy-duty vehicle fuel efficiency policies in major markets," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(5), pages 755-775, June.
    7. Francesco Mocera & Aurelio Somà, 2020. "Analysis of a Parallel Hybrid Electric Tractor for Agricultural Applications," Energies, MDPI, vol. 13(12), pages 1-16, June.
    8. Wang, Shuai & Wu, Xiuheng & Zhao, Xueyan & Wang, Shilong & Xie, Bin & Song, Zhenghe & Wang, Dongqing, 2023. "Co-optimization energy management strategy for a novel dual-motor drive system of electric tractor considering efficiency and stability," Energy, Elsevier, vol. 281(C).
    9. Francesco Mocera & Valerio Martini & Aurelio Somà, 2022. "Comparative Analysis of Hybrid Electric Architectures for Specialized Agricultural Tractors," Energies, MDPI, vol. 15(5), pages 1-22, March.
    10. Diego Troncon & Luigi Alberti, 2020. "Case of Study of the Electrification of a Tractor: Electric Motor Performance Requirements and Design," Energies, MDPI, vol. 13(9), pages 1-15, May.
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