IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v86y2015icp385-392.html
   My bibliography  Save this article

Energy harvesting from a vehicle suspension system

Author

Listed:
  • Xie, X.D.
  • Wang, Q.

Abstract

A dual-mass piezoelectric bar harvester is developed for energy harvesting from ambient vibrations of a vehicle suspension system subjected to roughness of road surfaces. The harvester is made of a sprung mass (body mass) and an unsprung mass (wheel mass) connected by a piezoelectric bar transducer which is equivalently modeled as a suspension spring and a damper in a mathematics model. The dual-mass piezoelectric bar harvester is practically designed in a vehicle suspension system on wheels to generate an electric charge. To describe the energy harvesting process, a mathematics model is developed to calculate the output charge and voltage from the harvester by an iteration method in the temporal domain. The influences of some practical considerations, such as the width of the piezoelectric bar, the speed of vehicles, and the class of the road roughness, on the root mean square of the generated electric power are discussed. Our results show that a power up to 738 W can be realized for a practical design of the harvester with a width and height of the piezoelectric bar of 0.015 m and 0.1 m respectively. This research develops a new design method for efficient and practical energy harvesting from vehicle vibrations.

Suggested Citation

  • Xie, X.D. & Wang, Q., 2015. "Energy harvesting from a vehicle suspension system," Energy, Elsevier, vol. 86(C), pages 385-392.
  • Handle: RePEc:eee:energy:v:86:y:2015:i:c:p:385-392
    DOI: 10.1016/j.energy.2015.04.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215004272
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2015.04.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xie, X.D. & Wang, Q. & Wang, S.J., 2015. "Energy harvesting from high-rise buildings by a piezoelectric harvester device," Energy, Elsevier, vol. 93(P2), pages 1345-1352.
    2. Peng, Minghong & Liu, Lian & Jiang, Chuanwen, 2012. "A review on the economic dispatch and risk management of the large-scale plug-in electric vehicles (PHEVs)-penetrated power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1508-1515.
    3. Hedegaard, Karsten & Ravn, Hans & Juul, Nina & Meibom, Peter, 2012. "Effects of electric vehicles on power systems in Northern Europe," Energy, Elsevier, vol. 48(1), pages 356-368.
    4. Smith, William J., 2010. "Can EV (electric vehicles) address Ireland’s CO2 emissions from transport?," Energy, Elsevier, vol. 35(12), pages 4514-4521.
    5. Bellekom, Sandra & Benders, René & Pelgröm, Steef & Moll, Henk, 2012. "Electric cars and wind energy: Two problems, one solution? A study to combine wind energy and electric cars in 2020 in The Netherlands," Energy, Elsevier, vol. 45(1), pages 859-866.
    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. Raslavičius, Laurencas & Starevičius, Martynas & Keršys, Artūras & Pilkauskas, Kęstutis & Vilkauskas, Andrius, 2013. "Performance of an all-electric vehicle under UN ECE R101 test conditions: A feasibility study for the city of Kaunas, Lithuania," Energy, Elsevier, vol. 55(C), pages 436-448.
    2. Madzharov, D. & Delarue, E. & D'haeseleer, W., 2014. "Integrating electric vehicles as flexible load in unit commitment modeling," Energy, Elsevier, vol. 65(C), pages 285-294.
    3. Amirioun, Mohammad Hassan & Kazemi, Ahad, 2014. "A new model based on optimal scheduling of combined energy exchange modes for aggregation of electric vehicles in a residential complex," Energy, Elsevier, vol. 69(C), pages 186-198.
    4. Graabak, Ingeborg & Wu, Qiuwei & Warland, Leif & Liu, Zhaoxi, 2016. "Optimal planning of the Nordic transmission system with 100% electric vehicle penetration of passenger cars by 2050," Energy, Elsevier, vol. 107(C), pages 648-660.
    5. Liu, Nian & Chen, Zheng & Liu, Jie & Tang, Xiao & Xiao, Xiangning & Zhang, Jianhua, 2014. "Multi-objective optimization for component capacity of the photovoltaic-based battery switch stations: Towards benefits of economy and environment," Energy, Elsevier, vol. 64(C), pages 779-792.
    6. Ramos Muñoz, Edgar & Razeghi, Ghazal & Zhang, Li & Jabbari, Faryar, 2016. "Electric vehicle charging algorithms for coordination of the grid and distribution transformer levels," Energy, Elsevier, vol. 113(C), pages 930-942.
    7. Gustavsson, Leif & Truong, Nguyen Le, 2016. "Bioenergy pathways for cars: Effects on primary energy use, climate change and energy system integration," Energy, Elsevier, vol. 115(P3), pages 1779-1789.
    8. Verma, Aman & Raj, Ratan & Kumar, Mayank & Ghandehariun, Samane & Kumar, Amit, 2015. "Assessment of renewable energy technologies for charging electric vehicles in Canada," Energy, Elsevier, vol. 86(C), pages 548-559.
    9. Lena Ahmadi & Ali Elkamel & Sabah A. Abdul-Wahab & Michael Pan & Eric Croiset & Peter L. Douglas & Evgueniy Entchev, 2015. "Multi-Period Optimization Model for Electricity Generation Planning Considering Plug-in Hybrid Electric Vehicle Penetration," Energies, MDPI, vol. 8(5), pages 1-25, May.
    10. Hedegaard, Karsten & Balyk, Olexandr, 2013. "Energy system investment model incorporating heat pumps with thermal storage in buildings and buffer tanks," Energy, Elsevier, vol. 63(C), pages 356-365.
    11. Qinliang Tan & Minnan Wang & Yanming Deng & Haiping Yang & Rao Rao & Xingping Zhang, 2014. "The Cultivation of Electric Vehicles Market in China: Dilemma and Solution," Sustainability, MDPI, vol. 6(8), pages 1-19, August.
    12. Ioakimidis, Christos S. & Thomas, Dimitrios & Rycerski, Pawel & Genikomsakis, Konstantinos N., 2018. "Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot," Energy, Elsevier, vol. 148(C), pages 148-158.
    13. Sousa, Tiago & Vale, Zita & Carvalho, Joao Paulo & Pinto, Tiago & Morais, Hugo, 2014. "A hybrid simulated annealing approach to handle energy resource management considering an intensive use of electric vehicles," Energy, Elsevier, vol. 67(C), pages 81-96.
    14. Arslan, Okan & Karasan, Oya Ekin, 2013. "Cost and emission impacts of virtual power plant formation in plug-in hybrid electric vehicle penetrated networks," Energy, Elsevier, vol. 60(C), pages 116-124.
    15. Maria Taljegard & Lisa Göransson & Mikael Odenberger & Filip Johnsson, 2021. "To Represent Electric Vehicles in Electricity Systems Modelling—Aggregated Vehicle Representation vs. Individual Driving Profiles," Energies, MDPI, vol. 14(3), pages 1-25, January.
    16. Göransson, Lisa & Goop, Joel & Unger, Thomas & Odenberger, Mikael & Johnsson, Filip, 2014. "Linkages between demand-side management and congestion in the European electricity transmission system," Energy, Elsevier, vol. 69(C), pages 860-872.
    17. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "A methodology for economic and environmental analysis of electric vehicles with different operational conditions," Energy, Elsevier, vol. 61(C), pages 118-127.
    18. Varga, Bogdan Ovidiu, 2013. "Electric vehicles, primary energy sources and CO2 emissions: Romanian case study," Energy, Elsevier, vol. 49(C), pages 61-70.
    19. Maharjan, Pukar & Salauddin, Md & Cho, Hyunok & Park, Jae Yeong, 2018. "An indoor power line based magnetic field energy harvester for self-powered wireless sensors in smart home applications," Applied Energy, Elsevier, vol. 232(C), pages 398-408.
    20. Asadi, Amin & Nurre Pinkley, Sarah, 2021. "A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).

    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:eee:energy:v:86:y:2015:i:c:p:385-392. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.