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Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle

Author

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  • Jian Yang

    (College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 260071, China
    Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 260071, China)

  • Tiezhu Zhang

    (College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 260071, China
    Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 260071, China)

  • Hongxin Zhang

    (College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 260071, China
    Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 260071, China)

  • Jichao Hong

    (School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China)

  • Zewen Meng

    (College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 260071, China
    Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 260071, China)

Abstract

To simplify the layout of a purely electric vehicle transmission system and improve the acceleration performance of the vehicle, this paper utilizes the characteristics of the large torque of a hydraulic transmission system and proposes a new mechanical–electric–hydraulic dynamic coupling drive system (MEH-DCDS). It integrates the traditional motor and the swashplate hydraulic pump/motor into one, which can realize the mutual conversion between the mechanical energy, electrical energy, and hydraulic energy. This article explains its working principle and structural characteristics. At the same time, the mathematical model for the key components is established and the operation mode is divided into various types. Based on AMESim software, the article studies the dynamic characteristics of the MEH-DCDS, and finally proposes a method that combines real-time feedback of the accumulator output torque with PID control to complete the system simulation. The results show that the MEH-DCDS vehicle has a starting time of 4.52 s at ignition, and the starting performance is improved by 40.37% compared to that of a pure motor drive system vehicle; after a PID adjustment, the MEH-DCDS vehicle’s starting time is shortened by 1.04 s, and the acceleration performance is improved by 23.01%. The results indicated the feasibility of the system and the power performance was substantially improved. Finally, the system is integrated into the vehicle and the dynamic performance of the MEH-DCDS under cycle conditions is verified by joint simulation. The results show that the vehicle is able to follow the control speed well when the MEH-DCDS is loaded on the vehicle. The state-of-charge (SOC) consumption rate is reduced by 20.33% compared to an electric vehicle, while the MEH-DCDS has an increased range of 45.7 m compared to the EV. This improves the energy efficiency and increases the driving range.

Suggested Citation

  • Jian Yang & Tiezhu Zhang & Hongxin Zhang & Jichao Hong & Zewen Meng, 2020. "Research on the Starting Acceleration Characteristics of a New Mechanical–Electric–Hydraulic Power Coupling Electric Vehicle," Energies, MDPI, vol. 13(23), pages 1-20, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6279-:d:452913
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    References listed on IDEAS

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    1. Kegang Zhao & Zhihao Liang & Yanjun Huang & Hong Wang & Amir Khajepour & Yuke Zhen, 2017. "Research on a Novel Hydraulic/Electric Synergy Bus," Energies, MDPI, vol. 11(1), pages 1-18, December.
    2. Hong, Jichao & Wang, Zhenpo & Zhang, Tiezhu & Yin, Huaixian & Zhang, Hongxin & Huo, Wei & Zhang, Yi & Li, Yuanyuan, 2019. "Research on integration simulation and balance control of a novel load isolated pure electric driving system," Energy, Elsevier, vol. 189(C).
    3. 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.
    4. Liu, Huanlong & Chen, Guanpeng & Xie, Chixin & Li, Dafa & Wang, Jiawei & Li, Shun, 2020. "Research on energy-saving characteristics of battery-powered electric-hydrostatic hydraulic hybrid rail vehicles," Energy, Elsevier, vol. 205(C).
    5. Jiansong Li & Jiyun Zhao & Xiaochun Zhang, 2020. "A Novel Energy Recovery System Integrating Flywheel and Flow Regeneration for a Hydraulic Excavator Boom System," Energies, MDPI, vol. 13(2), pages 1-25, January.
    6. Yafei Xin & Tiezhu Zhang & Hongxin Zhang & Qinghai Zhao & Jian Zheng & Congcong Wang, 2019. "Fuzzy Logic Optimization of Composite Brake Control Strategy for Load-Isolated Electric Bus," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-14, October.
    7. Wang, Lei & Wang, Xiang & Yang, Wenxian, 2020. "Optimal design of electric vehicle battery recycling network – From the perspective of electric vehicle manufacturers," Applied Energy, Elsevier, vol. 275(C).
    8. Kai Liu & Sijia Luo & Jing Zhou, 2020. "En-Route Battery Management and a Mixed Network Equilibrium Problem Based on Electric Vehicle Drivers’ En-Route Recharging Behaviors," Energies, MDPI, vol. 13(16), pages 1-14, August.
    9. Zhao, Wanzhong & Zhou, Xiaochuan & Wang, Chunyan & Luan, Zhongkai, 2019. "Energy analysis and optimization design of vehicle electro-hydraulic compound steering system," Applied Energy, Elsevier, vol. 255(C).
    10. Yang Yang & Zhen Zhong & Fei Wang & Chunyun Fu & Junzhang Liao, 2020. "Real-time Energy Management Strategy for Oil-Electric-Liquid Hybrid System based on Lowest Instantaneous Energy Consumption Cost," Energies, MDPI, vol. 13(4), pages 1-23, February.
    11. Hsiu-Ying Hwang & Tian-Syung Lan & Jia-Shiun Chen, 2020. "Optimization and Application for Hydraulic Electric Hybrid Vehicle," Energies, MDPI, vol. 13(2), pages 1-17, January.
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    Cited by:

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    3. Yang, Jian & Liu, Bo & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin, 2023. "Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation," Energy, Elsevier, vol. 263(PC).
    4. Zewen Meng & Tiezhu Zhang & Hongxin Zhang & Qinghai Zhao & Jian Yang, 2021. "Energy Management Strategy for an Electromechanical-Hydraulic Coupled Power Electric Vehicle Considering the Optimal Speed Threshold," Energies, MDPI, vol. 14(17), pages 1-12, August.
    5. Lin Li & Tiezhu Zhang & Kaiwei Wu & Liqun Lu & Lianhua Lin & Haigang Xu, 2022. "Design and Research on Electro-Hydraulic Drive and Energy Recovery System of the Electric Excavator Boom," Energies, MDPI, vol. 15(13), pages 1-17, June.
    6. Jin, Rui & Li, Lei & Liang, Xiaoling & Zou, Xiang & Yang, Zeyuan & Ge, Shuzhi Sam & Huang, Haihong, 2024. "Energy-efficient design of the powertrain for mechanical-electro-hydraulic equipment via configuring multidimensional controllable variables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).
    7. Andrzej Żyluk & Mariusz Zieja & Justyna Tomaszewska & Mariusz Michalski & Krzysztof Kordys, 2022. "Service Life Prediction for Rotating Electrical Machines on Aircraft in Terms of Temperature Loads," Energies, MDPI, vol. 16(1), pages 1-15, December.

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