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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.

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  • 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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    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. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    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.
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    18. 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).

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