IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6313-d649195.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6313/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/19/6313/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    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. Yang, Jian & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin & Zhao, Qinghai & Meng, Zewen, 2021. "Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 233(C).
    2. Li, Lin & Zhang, Tiezhu & Lu, Liqun & Zhang, Hongxin & Yang, Jian & Zhang, Zhen, 2023. "An energy active regulation management strategy based on driving mode recognition for electro-hydraulic hybrid vehicles," Energy, Elsevier, vol. 285(C).
    3. 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.
    4. Ahsan Bashir & Saiful A. Zulkifli & Abd Rashid Abd Aziz & Ezrann ZZ Abidin, 2021. "Impact of Combustion Variance on Sustainability of Free-Piston Linear Generator during Steady-State Generation," Energies, MDPI, vol. 14(14), pages 1-21, July.
    5. Jichao Hong & Fengwei Liang & Xun Gong & Xiaoming Xu & Quanqing Yu, 2022. "Accurate State of Charge Estimation for Real-World Battery Systems Using a Novel Grid Search and Cross Validated Optimised LSTM Neural Network," Energies, MDPI, vol. 15(24), pages 1-14, December.
    6. Cui, Binghan & Wang, Han & Li, Renlong & Xiang, Lizhi & Zhao, Huaian & Xiao, Rang & Li, Sai & Liu, Zheng & Yin, Geping & Cheng, Xinqun & Ma, Yulin & Huo, Hua & Zuo, Pengjian & Lu, Taolin & Xie, Jingyi, 2024. "Ultra-early prediction of lithium-ion battery performance using mechanism and data-driven fusion model," Applied Energy, Elsevier, vol. 353(PA).
    7. Ma, Zhikai & Huo, Qian & Wang, Wei & Zhang, Tao, 2023. "Voltage-temperature aware thermal runaway alarming framework for electric vehicles via deep learning with attention mechanism in time-frequency domain," Energy, Elsevier, vol. 278(C).
    8. Zhijie Duan & Luo Zhang & Lili Feng & Shuguang Yu & Zengyou Jiang & Xiaoming Xu & Jichao Hong, 2021. "Research on Economic and Operating Characteristics of Hydrogen Fuel Cell Cars Based on Real Vehicle Tests," Energies, MDPI, vol. 14(23), pages 1-19, November.
    9. Daniels, Rojo Kurian & Kumar, Vikas & Chouhan, Satyendra Singh & Prabhakar, Aneesh, 2024. "Thermal runaway fault prediction in air-cooled lithium-ion battery modules using machine learning through temperature sensors placement optimization," Applied Energy, Elsevier, vol. 355(C).
    10. Peng Sun & Chi Zhang & Jinhua Chen & Fei Zhao & Youyong Liao & Guilin Yang & Chinyin Chen, 2016. "Decoupling Design and Verification of a Free-Piston Linear Generator," Energies, MDPI, vol. 9(12), pages 1-23, December.
    11. Qi, Kaijian & Zhang, Weigang & Zhou, Wei & Cheng, Jifu, 2022. "Integrated battery power capability prediction and driving torque regulation for electric vehicles: A reduced order MPC approach," Applied Energy, Elsevier, vol. 317(C).
    12. Sun, Chenhao & Zhou, Zhuoyu & Zeng, Xiangjun & Li, Zewen & Wang, Yuanyuan & Deng, Feng, 2022. "A multi-model-integration-based prediction methodology for the spatiotemporal distribution of vulnerabilities in integrated energy systems under the multi-type, imbalanced, and dependent input data sc," Applied Energy, Elsevier, vol. 320(C).
    13. Tavakolpour-Saleh, A.R., 2021. "A novel theorem on motion stability," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    14. Claudiu Vasile Kifor & Niculina Alexandra Grigore, 2023. "Circular Economy Approaches for Electrical and Conventional Vehicles," Sustainability, MDPI, vol. 15(7), pages 1-28, April.
    15. Hung, Nguyen Ba & Lim, Ocktaeck, 2016. "A review of free-piston linear engines," Applied Energy, Elsevier, vol. 178(C), pages 78-97.
    16. Li, Jian & Zuo, Zhengxing & Liu, Wenzhen & Jia, Boru & Feng, Huihua & Wang, Wei & Smallbone, Andrew & Roskilly, Anthony Paul, 2023. "Generating performance of a tubular permanent magnet linear generator for application on free-piston engine generator prototype with wide-ranging operating parameters," Energy, Elsevier, vol. 278(C).
    17. Mitsuhide Sato & Takumi Goto & Jianping Zheng & Shoma Irie, 2020. "Resonant Combustion Start Considering Potential Energy of Free-Piston Engine Generator," Energies, MDPI, vol. 13(21), pages 1-17, November.
    18. Ngwaka, Ugochukwu & Jia, Boru & Lawrence, Christopher & Wu, Dawei & Smallbone, Andrew & Roskilly, Anthony Paul, 2019. "The characteristics of a Linear Joule Engine Generator operating on a dry friction principle," Applied Energy, Elsevier, vol. 237(C), pages 49-59.
    19. Zare, Shahryar & Tavakolpour-saleh, A.R. & Aghahosseini, A. & Sangdani, M.H. & Mirshekari, Reza, 2021. "Design and optimization of Stirling engines using soft computing methods: A review," Applied Energy, Elsevier, vol. 283(C).
    20. Kaizhi Liang & Zhaosheng Zhang & Peng Liu & Zhenpo Wang & Shangfeng Jiang, 2019. "Data-Driven Ohmic Resistance Estimation of Battery Packs for Electric Vehicles," Energies, MDPI, vol. 12(24), pages 1-17, December.

    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:19:p:6313-:d:649195. 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.