IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v257y2020ics0306261919316563.html
   My bibliography  Save this article

Dynamic modeling and experimental investigation of self-powered sensor nodes for freight rail transport

Author

Listed:
  • Gao, Mingyuan
  • Cong, Jianli
  • Xiao, Jieling
  • He, Qing
  • Li, Shoutai
  • Wang, Yuan
  • Yao, Ye
  • Chen, Rong
  • Wang, Ping

Abstract

Railway freight wagons are unpowered railway vehicles that are used for the transportation of cargoes. However, standard freight wagons are not equipped with electrical conduits (i.e. no external power source) and therefore cannot power monitoring sensors, and those monitoring sensors (pressure sensors and accelerometers) are essential for ensuring driving safety (e.g. derailment monitoring, insufficient brake pressure, and hunting movements). This paper reviews the self-powered sensor nodes for use in rail transport and proposes a technical approach for harnessing vibration energy of freight wagons to power the monitoring sensors. A multi-body rigid-flexible coupled dynamic model of freight rail transport is established to simulate the vibration response (the vibration acceleration and displacement) of freight wagons (car bodies and bogies) and railway tracks (rails and sleepers). The validity of the calculation model is verified by field tests. A new compact electromagnetic vibration energy harvester with an inertial pendulum is developed. Under the inertial oscillations caused by the wheel-rail interaction, the output power is 263 mW. A DC-DC booster circuit with supercapacitors is developed to power the sensor nodes through the harvested vibration energy. The system operates at a startup voltage of 1 V with a conversion efficiency of 40–65%. The energy harvesting system can drive an integral commercial sensor unit (with a pressure sensor and a triaxial MEMS accelerometer) and act as a self-powered sensor node for use in the condition monitoring system of freight rail transport.

Suggested Citation

  • Gao, Mingyuan & Cong, Jianli & Xiao, Jieling & He, Qing & Li, Shoutai & Wang, Yuan & Yao, Ye & Chen, Rong & Wang, Ping, 2020. "Dynamic modeling and experimental investigation of self-powered sensor nodes for freight rail transport," Applied Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:appene:v:257:y:2020:i:c:s0306261919316563
    DOI: 10.1016/j.apenergy.2019.113969
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919316563
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.113969?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. Zhou, Shengxi & Cao, Junyi & Inman, Daniel J. & Lin, Jing & Liu, Shengsheng & Wang, Zezhou, 2014. "Broadband tristable energy harvester: Modeling and experiment verification," Applied Energy, Elsevier, vol. 133(C), pages 33-39.
    2. Zhang, Xingtian & Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yuan, Yanping & Liu, Yujie, 2017. "A renewable energy harvesting system using a mechanical vibration rectifier (MVR) for railroads," Applied Energy, Elsevier, vol. 204(C), pages 1535-1543.
    3. Wolfgang Tress & Konrad Domanski & Brian Carlsen & Anand Agarwalla & Essa A. Alharbi & Michael Graetzel & Anders Hagfeldt, 2019. "Performance of perovskite solar cells under simulated temperature-illumination real-world operating conditions," Nature Energy, Nature, vol. 4(7), pages 568-574, July.
    4. Zhang, Zutao & Zhang, Xingtian & Chen, Weiwu & Rasim, Yagubov & Salman, Waleed & Pan, Hongye & Yuan, Yanping & Wang, Chunbai, 2016. "A high-efficiency energy regenerative shock absorber using supercapacitors for renewable energy applications in range extended electric vehicle," Applied Energy, Elsevier, vol. 178(C), pages 177-188.
    5. Shittu, Samson & Li, Guiqiang & Akhlaghi, Yousef Golizadeh & Ma, Xiaoli & Zhao, Xudong & Ayodele, Emmanuel, 2019. "Advancements in thermoelectric generators for enhanced hybrid photovoltaic system performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 24-54.
    6. Shaikh, Faisal Karim & Zeadally, Sherali, 2016. "Energy harvesting in wireless sensor networks: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1041-1054.
    7. David M. Bierman & Andrej Lenert & Walker R. Chan & Bikram Bhatia & Ivan Celanović & Marin Soljačić & Evelyn N. Wang, 2016. "Enhanced photovoltaic energy conversion using thermally based spectral shaping," Nature Energy, Nature, vol. 1(6), pages 1-7, June.
    8. Xu Zhang & Jesús Grajal & Jose Luis Vazquez-Roy & Ujwal Radhakrishna & Xiaoxue Wang & Winston Chern & Lin Zhou & Yuxuan Lin & Pin-Chun Shen & Xiang Ji & Xi Ling & Ahmad Zubair & Yuhao Zhang & Han Wang, 2019. "Two-dimensional MoS2-enabled flexible rectenna for Wi-Fi-band wireless energy harvesting," Nature, Nature, vol. 566(7744), pages 368-372, February.
    9. Gao, Mingyuan & Su, Chengguang & Cong, Jianli & Yang, Fan & Wang, Yifeng & Wang, Ping, 2019. "Harvesting thermoelectric energy from railway track," Energy, Elsevier, vol. 180(C), pages 315-329.
    10. Jia, Yuting & Alva, Guruprasad & Fang, Guiyin, 2019. "Development and applications of photovoltaic–thermal systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 249-265.
    11. Wei, Chongfeng & Jing, Xingjian, 2017. "A comprehensive review on vibration energy harvesting: Modelling and realization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1-18.
    12. Yanzhong Pei & Xiaoya Shi & Aaron LaLonde & Heng Wang & Lidong Chen & G. Jeffrey Snyder, 2011. "Convergence of electronic bands for high performance bulk thermoelectrics," Nature, Nature, vol. 473(7345), pages 66-69, May.
    13. Pan, Yu & Lin, Teng & Qian, Feng & Liu, Cheng & Yu, Jie & Zuo, Jianyong & Zuo, Lei, 2019. "Modeling and field-test of a compact electromagnetic energy harvester for railroad transportation," Applied Energy, Elsevier, vol. 247(C), pages 309-321.
    14. Gao, Mingyuan & Wang, Yuan & Wang, Yifeng & Wang, Ping, 2018. "Experimental investigation of non-linear multi-stable electromagnetic-induction energy harvesting mechanism by magnetic levitation oscillation," Applied Energy, Elsevier, vol. 220(C), pages 856-875.
    15. Lin, Teng & Pan, Yu & Chen, Shikui & Zuo, Lei, 2018. "Modeling and field testing of an electromagnetic energy harvester for rail tracks with anchorless mounting," Applied Energy, Elsevier, vol. 213(C), pages 219-226.
    16. Mingyuan Gao & Yunwu Li & Jun Lu & Yifeng Wang & Ping Wang & Li Wang, 2018. "Condition monitoring of urban rail transit by local energy harvesting," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    17. Pan, Yu & Liu, Fengwei & Jiang, Ruijin & Tu, Zhiwen & Zuo, Lei, 2019. "Modeling and onboard test of an electromagnetic energy harvester for railway cars," Applied Energy, Elsevier, vol. 250(C), pages 568-581.
    18. Gao, Mingyuan & Wang, Yuan & Wang, Yifeng & Yao, Ye & Wang, Ping & Sun, Yuhua & Xiao, Jieling, 2020. "Modeling and experimental verification of a fractional damping quad-stable energy harvesting system for use in wireless sensor networks," Energy, Elsevier, vol. 190(C).
    19. Liu, Mingyi & Lin, Rui & Zhou, Shengxi & Yu, Yilun & Ishida, Aki & McGrath, Margarita & Kennedy, Brook & Hajj, Muhammad & Zuo, Lei, 2018. "Design, simulation and experiment of a novel high efficiency energy harvesting paver," Applied Energy, Elsevier, vol. 212(C), pages 966-975.
    20. Gholikhani, Mohammadreza & Nasouri, Reza & Tahami, Seyed Amid & Legette, Sarah & Dessouky, Samer & Montoya, Arturo, 2019. "Harvesting kinetic energy from roadway pavement through an electromagnetic speed bump," Applied Energy, Elsevier, vol. 250(C), pages 503-511.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yan, Jinyue, 2021. "Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review," Applied Energy, Elsevier, vol. 286(C).
    2. Wang, Zhixia & Du, Hongzhi & Wang, Wei & Zhang, Qichang & Gu, Fengshou & Ball, Andrew D. & Liu, Cheng & Jiao, Xuanbo & Qiu, Hongyun & Shi, Dawei, 2024. "A high performance contra-rotating energy harvester and its wireless sensing application toward green and maintain free vehicle monitoring," Applied Energy, Elsevier, vol. 356(C).
    3. Qu, Shuai & Ren, Yuhao & Hu, Guobiao & Ding, Wei & Dong, Liwei & Yang, Jizhong & Wu, Zaixin & Zhu, Shengyang & Yang, Yaowen & Zhai, Wanming, 2024. "Event-driven piezoelectric energy harvesting for railway field applications," Applied Energy, Elsevier, vol. 364(C).
    4. Zdenko Kljaić & Danijel Pavković & Mihael Cipek & Maja Trstenjak & Tomislav Josip Mlinarić & Mladen Nikšić, 2023. "An Overview of Current Challenges and Emerging Technologies to Facilitate Increased Energy Efficiency, Safety, and Sustainability of Railway Transport," Future Internet, MDPI, vol. 15(11), pages 1-44, October.
    5. Zhang, Duo & Zhou, Fang-Ru & Tang, Yin-Ying & Tao, Zi-Yu & Peng, Qi-Yuan, 2023. "Optimization of the loading plan for a railway wagon from the perspectives of running safety and energy conservation," Energy, Elsevier, vol. 280(C).
    6. Sun, Yuhua & Wang, Ping & Lu, Jun & Xu, Jingmang & Wang, Peigen & Xie, Shouyong & Li, Yunwu & Dai, Jun & Wang, Bowen & Gao, Mingyuan, 2021. "Rail corrugation inspection by a self-contained triple-repellent electromagnetic energy harvesting system," Applied Energy, Elsevier, vol. 286(C).
    7. Zhang, Tingsheng & Kong, Lingji & Zhu, Zhongyin & Wu, Xiaoping & Li, Hai & Zhang, Zutao & Yan, Jinyue, 2024. "An electromagnetic vibration energy harvesting system based on series coupling input mechanism for freight railroads," Applied Energy, Elsevier, vol. 353(PA).
    8. Dong, Liwei & Zuo, Jianyong & Wang, Tianpeng & Xue, Wenbin & Wang, Ping & Li, Jun & Yang, Fan, 2022. "Enhanced piezoelectric harvester for track vibration based on tunable broadband resonant methodology," Energy, Elsevier, vol. 254(PA).
    9. Bogdan Dziadak & Mariusz Kucharek & Jacek Starzyński, 2022. "Powering the WSN Node for Monitoring Rail Car Parameters, Using a Piezoelectric Energy Harvester," Energies, MDPI, vol. 15(5), pages 1-18, February.
    10. Zuo, Jianyong & Dong, Liwei & Yang, Fan & Guo, Ziheng & Wang, Tianpeng & Zuo, Lei, 2023. "Energy harvesting solutions for railway transportation: A comprehensive review," Renewable Energy, Elsevier, vol. 202(C), pages 56-87.
    11. Hu, Yanqiang & Wang, Xiaoli & Qin, Yechen & Li, Zhihao & Wang, Chenfei & Wu, Heng, 2022. "A robust hybrid generator for harvesting vehicle suspension vibration energy from random road excitation," Applied Energy, Elsevier, vol. 309(C).
    12. Fan, Chengliang & Li, Hai & Zhang, Zutao & Pan, Yajia & Wu, Xiaoping & Ahmed, Ammar, 2023. "An H-shaped coupler energy harvester for application in heavy railways," Energy, Elsevier, vol. 270(C).
    13. Azam, Ali & Ahmed, Ammar & Kamran, Muhammad Sajid & Hai, Li & Zhang, Zutao & Ali, Asif, 2021. "Knowledge structuring for enhancing mechanical energy harvesting (MEH): An in-depth review from 2000 to 2020 using CiteSpace," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    14. Fang, Zheng & Tan, Xing & Liu, Genshuo & Zhou, Zijie & Pan, Yajia & Ahmed, Ammar & Zhang, Zutao, 2022. "A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains," Applied Energy, Elsevier, vol. 318(C).
    15. Gao, Mingyuan & Wang, Yuan & Wang, Yifeng & Yao, Ye & Wang, Ping & Sun, Yuhua & Xiao, Jieling, 2020. "Modeling and experimental verification of a fractional damping quad-stable energy harvesting system for use in wireless sensor networks," Energy, Elsevier, vol. 190(C).
    16. Wang, Junlei & Zhang, Chengyun & Hu, Guobiao & Liu, Xiaowei & Liu, Huadong & Zhang, Zhien & Das, Raj, 2022. "Wake galloping energy harvesting in heat exchange systems under the influence of ash deposition," Energy, Elsevier, vol. 253(C).
    17. Wang, Yifeng & Li, Shoutai & Gao, Mingyuan & Ouyang, Huajiang & He, Qing & Wang, Ping, 2021. "Analysis, design and testing of a rolling magnet harvester with diametrical magnetization for train vibration," Applied Energy, Elsevier, vol. 300(C).
    18. Yang, Fan & Gao, Mingyuan & Wang, Ping & Zuo, Jianyong & Dai, Jun & Cong, Jianli, 2021. "Efficient piezoelectric harvester for random broadband vibration of rail," Energy, Elsevier, vol. 218(C).

    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. Azam, Ali & Ahmed, Ammar & Kamran, Muhammad Sajid & Hai, Li & Zhang, Zutao & Ali, Asif, 2021. "Knowledge structuring for enhancing mechanical energy harvesting (MEH): An in-depth review from 2000 to 2020 using CiteSpace," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Zuo, Jianyong & Dong, Liwei & Yang, Fan & Guo, Ziheng & Wang, Tianpeng & Zuo, Lei, 2023. "Energy harvesting solutions for railway transportation: A comprehensive review," Renewable Energy, Elsevier, vol. 202(C), pages 56-87.
    3. Pan, Hongye & Qi, Lingfei & Zhang, Zutao & Yan, Jinyue, 2021. "Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review," Applied Energy, Elsevier, vol. 286(C).
    4. Qi, Lingfei & Song, Juhuang & Wang, Yuan & Yi, Minyi & Zhang, Zutao & Yan, Jinyue, 2024. "Mechanical motion rectification-based electromagnetic vibration energy harvesting technology: A review," Energy, Elsevier, vol. 289(C).
    5. 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.
    6. Zhang, Tingsheng & Kong, Lingji & Zhu, Zhongyin & Wu, Xiaoping & Li, Hai & Zhang, Zutao & Yan, Jinyue, 2024. "An electromagnetic vibration energy harvesting system based on series coupling input mechanism for freight railroads," Applied Energy, Elsevier, vol. 353(PA).
    7. Zhou, Xu & Wang, Kangda & Li, Siyu & Wang, Yadong & Sun, Daoyu & Wang, Longlong & He, Zhizhu & Tang, Wei & Liu, Huicong & Jin, Xiaoping & Li, Zhen, 2024. "An ultra-compact lightweight electromagnetic generator enhanced with Halbach magnet array and printed triphase windings," Applied Energy, Elsevier, vol. 353(PA).
    8. Fang, Zheng & Tan, Xing & Liu, Genshuo & Zhou, Zijie & Pan, Yajia & Ahmed, Ammar & Zhang, Zutao, 2022. "A novel vibration energy harvesting system integrated with an inertial pendulum for zero-energy sensor applications in freight trains," Applied Energy, Elsevier, vol. 318(C).
    9. Wang, Yifeng & Li, Shoutai & Gao, Mingyuan & Ouyang, Huajiang & He, Qing & Wang, Ping, 2021. "Analysis, design and testing of a rolling magnet harvester with diametrical magnetization for train vibration," Applied Energy, Elsevier, vol. 300(C).
    10. Zhang, Duo & Tang, Yin-Ying & Peng, Qi-Yuan, 2023. "A novel approach for decreasing driving energy consumption during coasting and cruise for the railway vehicle," Energy, Elsevier, vol. 263(PA).
    11. Gao, Mingyuan & Wang, Yuan & Wang, Yifeng & Yao, Ye & Wang, Ping & Sun, Yuhua & Xiao, Jieling, 2020. "Modeling and experimental verification of a fractional damping quad-stable energy harvesting system for use in wireless sensor networks," Energy, Elsevier, vol. 190(C).
    12. Liu, Mengzhou & Zhang, Yuan & Fu, Hailing & Qin, Yong & Ding, Ao & Yeatman, Eric M., 2023. "A seesaw-inspired bistable energy harvester with adjustable potential wells for self-powered internet of train monitoring," Applied Energy, Elsevier, vol. 337(C).
    13. Yang, Yiqing & Pian, Yawei & Liu, Qiang, 2019. "Design of energy harvester using rotating motion rectifier and its application on bicycle," Energy, Elsevier, vol. 179(C), pages 222-231.
    14. Gao, Mingyuan & Su, Chengguang & Cong, Jianli & Yang, Fan & Wang, Yifeng & Wang, Ping, 2019. "Harvesting thermoelectric energy from railway track," Energy, Elsevier, vol. 180(C), pages 315-329.
    15. Kuang, Yang & Chew, Zheng Jun & Ruan, Tingwen & Lane, Tim & Allen, Ben & Nayar, Bimal & Zhu, Meiling, 2021. "Magnetic field energy harvesting from the traction return current in rail tracks," Applied Energy, Elsevier, vol. 292(C).
    16. Dong, Liwei & Zuo, Jianyong & Wang, Tianpeng & Xue, Wenbin & Wang, Ping & Li, Jun & Yang, Fan, 2022. "Enhanced piezoelectric harvester for track vibration based on tunable broadband resonant methodology," Energy, Elsevier, vol. 254(PA).
    17. Wang, Zhemin & Du, Yu & Li, Tianrun & Yan, Zhimiao & Tan, Ting, 2021. "A flute-inspired broadband piezoelectric vibration energy harvesting device with mechanical intelligent design," Applied Energy, Elsevier, vol. 303(C).
    18. Zhang, Tingsheng & Wu, Xiaoping & Pan, Yajia & Luo, Dabing & Xu, Yongsheng & Zhang, Zutao & Yuan, Yanping & Yan, Jinyue, 2022. "Vibration energy harvesting system based on track energy-recycling technology for heavy-duty freight railroads," Applied Energy, Elsevier, vol. 323(C).
    19. Pan, Yu & Lin, Teng & Qian, Feng & Liu, Cheng & Yu, Jie & Zuo, Jianyong & Zuo, Lei, 2019. "Modeling and field-test of a compact electromagnetic energy harvester for railroad transportation," Applied Energy, Elsevier, vol. 247(C), pages 309-321.
    20. Li, Shiying & Xu, Jun & Gao, Haonan & Tao, Tao & Mei, Xuesong, 2020. "Safety probability based multi-objective optimization of energy-harvesting suspension system," Energy, Elsevier, vol. 209(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:appene:v:257:y:2020:i:c:s0306261919316563. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.