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Design Optimization of Electrodynamic Structure of Permanent Magnet Piston Mechanical Electric Engine

Author

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  • Yun Sun

    (College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 260071, China
    Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 266071, 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 266071, China)

  • Zhen Liang

    (College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 260071, China
    Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 266071, China)

  • Jian Yang

    (College of Mechanical and Electrical Engineering, Qingdao University, Qingdao 260071, China
    Power Integration and Energy Storage Systems Engineering Technology Center (Qingdao), Qingdao 266071, China)

Abstract

To meet the demand of multiple power requirements, and enhance power utilization, a new type of dual-element electricity unit is designed in this study, which is a permanent magnet piston mechanical electric engine. Based on the analysis method of traditional internal combustion engines and linear generators, the working principle of the engine and the magnetic field distribution in the electrodynamic structure are analyzed, the machine dynamics model and electrodynamics model of the engine are established, then the theoretical evaluation is additionally established using finite elements. Based on this, an optimization model is constructed with the electrodynamic shape dimension as the optimization variable, with the intention of growing the output power. The optimization of the engine electrodynamic shape is executed via the use of the finite aspect approach and the NLPQL optimization algorithm integrated. The results show that the optimized engine output electricity expanded to 8.40 w, which is 18.81% greater than before optimization. An experimental prototype is developed, and the output voltage of the prototype is measured to verify the precept and overall performance of the new structure.

Suggested Citation

  • Yun Sun & Hongxin Zhang & Zhen Liang & Jian Yang, 2021. "Design Optimization of Electrodynamic Structure of Permanent Magnet Piston Mechanical Electric Engine," Energies, MDPI, vol. 14(19), pages 1-20, October.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6313-:d:649195
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    References listed on IDEAS

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    1. 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).
    2. Huihua Feng & Yu Song & Zhengxing Zuo & Jiao Shang & Yaodong Wang & Anthony Paul Roskilly, 2015. "Stable Operation and Electricity Generating Characteristics of a Single-Cylinder Free Piston Engine Linear Generator: Simulation and Experiments," Energies, MDPI, vol. 8(2), pages 1-21, January.
    3. Zare, Shahryar & Tavakolpour-Saleh, A.R., 2020. "Predicting onset conditions of a free piston Stirling engine," Applied Energy, Elsevier, vol. 262(C).
    4. Hong, Jichao & Wang, Zhenpo & Yao, Yongtao, 2019. "Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. Xuezhen Wang & Feixue Chen & Renfeng Zhu & Guilin Yang & Chi Zhang, 2018. "A Review of the Design and Control of Free-Piston Linear Generator," Energies, MDPI, vol. 11(8), pages 1-21, August.
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