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Novel design of compound coupled hydro-mechanical transmission on heavy-duty vehicle for energy recycling

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  • Yu, Jin
  • Song, Yurun
  • Zhang, Huasen
  • Dong, Xiaohan

Abstract

How to efficiently transmit power and reuse/recover energy has been the subjects of heated discussion in the high-power transmission field. Regarding heavy-duty vehicles, they used to be equipped with a gearbox as a typical type of high-power transmission to deliver power to the wheel. However, a gearbox transmission has quite complex mechanical structure for realizing a large speed-regulating range, and it has an inevitable drawback of weighing too much. In addition, it cannot reuse/recover energy. In this study, a novel design of a compound coupled hydro-mechanical transmission (CCHMT) is proposed to realize energy reuse/recovery on heavy-duty vehicles. The CCHMT has an optimal structure coupled with hydraulic and mechanical components, which makes its speed change continuously and keep the engine running with a high fuel economy. Moreover, compared with both hybrid and battery electric vehicles, vehicle with CCHMT has higher power density. To validate the transmission's feasibility and operational efficiency, simulation modeling and experiments are conducted. The CCHMT can transform unstable energy under a wide speed-regulation range, reuse/recover a vehicle's excess energy at an efficiency of 82.30%/62.94%, and provide a stable driving torque with a high efficiency of 76%, which shows a good energy management performance on heavy-duty vehicle's hydraulic system.

Suggested Citation

  • Yu, Jin & Song, Yurun & Zhang, Huasen & Dong, Xiaohan, 2022. "Novel design of compound coupled hydro-mechanical transmission on heavy-duty vehicle for energy recycling," Energy, Elsevier, vol. 239(PD).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025391
    DOI: 10.1016/j.energy.2021.122291
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    References listed on IDEAS

    as
    1. Wang, Rong-Jie & Gerber, Stiaan, 2014. "Magnetically geared wind generator technologies: Opportunities and challenges," Applied Energy, Elsevier, vol. 136(C), pages 817-826.
    2. Zhao, Xueyong & Maißer, Peter, 2003. "A novel power splitting drive train for variable speed wind power generators," Renewable Energy, Elsevier, vol. 28(13), pages 2001-2011.
    3. Xie, Shaobo & Hu, Xiaosong & Xin, Zongke & Brighton, James, 2019. "Pontryagin’s Minimum Principle based model predictive control of energy management for a plug-in hybrid electric bus," Applied Energy, Elsevier, vol. 236(C), pages 893-905.
    4. Clauser, Christoph & Ewert, Markus, 2018. "The renewables cost challenge: Levelized cost of geothermal electric energy compared to other sources of primary energy – Review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3683-3693.
    5. Li, Junqiu & Wang, Yihe & Chen, Jianwen & Zhang, Xiaopeng, 2017. "Study on energy management strategy and dynamic modeling for auxiliary power units in range-extended electric vehicles," Applied Energy, Elsevier, vol. 194(C), pages 363-375.
    6. Du, Jiuyu & Chen, Jingfu & Song, Ziyou & Gao, Mingming & Ouyang, Minggao, 2017. "Design method of a power management strategy for variable battery capacities range-extended electric vehicles to improve energy efficiency and cost-effectiveness," Energy, Elsevier, vol. 121(C), pages 32-42.
    7. Liu, Hongwei & Lin, Yonggang & Shi, Maoshun & Li, Wei & Gu, Haigang & Xu, Quankun & Tu, Le, 2015. "A novel hydraulic-mechanical hybrid transmission in tidal current turbines," Renewable Energy, Elsevier, vol. 81(C), pages 31-42.
    8. Bravo, Rafael Rivelino Silva & De Negri, Victor Juliano & Oliveira, Amir Antonio Martins, 2018. "Design and analysis of a parallel hydraulic – pneumatic regenerative braking system for heavy-duty hybrid vehicles," Applied Energy, Elsevier, vol. 225(C), pages 60-77.
    9. Karásek, Jiří & Pojar, Jan & Kaločai, Ladislav & Heralová, Renáta Schneiderová, 2018. "Cost optimum calculation of energy efficiency measures in the Czech Republic," Energy Policy, Elsevier, vol. 123(C), pages 155-166.
    10. Qi, Chunyang & Song, Chuanxue & Xiao, Feng & Song, Shixin, 2022. "Generalization ability of hybrid electric vehicle energy management strategy based on reinforcement learning method," Energy, Elsevier, vol. 250(C).
    11. Qi, Chunyang & Zhu, Yiwen & Song, Chuanxue & Yan, Guangfu & Xiao, Feng & Da wang, & Zhang, Xu & Cao, Jingwei & Song, Shixin, 2022. "Hierarchical reinforcement learning based energy management strategy for hybrid electric vehicle," Energy, Elsevier, vol. 238(PA).
    12. Crippa, Paola & Alifa, Mariana & Bolster, Diogo & Genton, Marc G. & Castruccio, Stefano, 2021. "A temporal model for vertical extrapolation of wind speed and wind energy assessment," Applied Energy, Elsevier, vol. 301(C).
    13. Pugi, L. & Pagliai, M. & Nocentini, A. & Lutzemberger, G. & Pretto, A., 2017. "Design of a hydraulic servo-actuation fed by a regenerative braking system," Applied Energy, Elsevier, vol. 187(C), pages 96-115.
    14. Van de Ven, James D., 2013. "Constant pressure hydraulic energy storage through a variable area piston hydraulic accumulator," Applied Energy, Elsevier, vol. 105(C), pages 262-270.
    15. Li, Shuangqi & He, Hongwen & Zhao, Pengfei, 2021. "Energy management for hybrid energy storage system in electric vehicle: A cyber-physical system perspective," Energy, Elsevier, vol. 230(C).
    16. Abdelkareem, Mohamed A.A. & Xu, Lin & Ali, Mohamed Kamal Ahmed & Elagouz, Ahmed & Mi, Jia & Guo, Sijing & Liu, Yilun & Zuo, Lei, 2018. "Vibration energy harvesting in automotive suspension system: A detailed review," Applied Energy, Elsevier, vol. 229(C), pages 672-699.
    17. Tao Liu & Jincheng Zheng & Yongmao Su & Jinghui Zhao, 2013. "A Study on Control Strategy of Regenerative Braking in the Hydraulic Hybrid Vehicle Based on ECE Regulations," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, November.
    18. Ruan, Jiageng & Walker, Paul & Zhang, Nong, 2016. "A comparative study energy consumption and costs of battery electric vehicle transmissions," Applied Energy, Elsevier, vol. 165(C), pages 119-134.
    19. Kwon, Hyukjoon & Sprengel, Michael & Ivantysynova, Monika, 2016. "Thermal modeling of a hydraulic hybrid vehicle transmission based on thermodynamic analysis," Energy, Elsevier, vol. 116(P1), pages 650-660.
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    1. Yu, Jin & Dong, Xiaohan & Song, Yurun & Zhang, Yangguang & Zhang, Huasen & Yang, Xianshen & Xu, Zhongjie & Liu, Yupeng, 2022. "Energy efficiency optimization of a compound coupled hydro-mechanical transmission for heavy-duty vehicles," Energy, Elsevier, vol. 252(C).

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