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Cluster Computing

, Volume 22, Supplement 4, pp 8757–8767 | Cite as

Research of mobile power pack security verification based on scenario simulation

  • Guozhong Huang
  • Nan WangEmail author
  • Siheng Sun
  • Xiao Yang
Article
  • 51 Downloads

Abstract

In view of the frequent safety situation of mobile power pack fire accidents, ANSYS software was used to establish the finite element model for the mobile power. According to the dangerous temperature, the working range and failure rate of the electronic components, we proposed three safety criteria for the thermal hazard. On the basis of three scenarios, we carried out the security verification, studied the temperature distribution in different states, and revealed the mutual transformation of heat in the mobile power source. Finally measures is proposed to improve the safety of mobile power.

Keywords

Mobile power ANSYS Scenario simulation Security verification 

References

  1. 1.
    Chen, Y.Q., Liu, G.R., Zhang, L.: Analysis and suggestion of current situation of standards in mobile power supply industry. Electr. Appl. 04, 39 (2014)Google Scholar
  2. 2.
    Huang, G.Z., Ding, J., Xie, Z.L., et al.: Fire risk analysis of mobile power pack (MPP) based on fuzzy synthetic evaluation model. Chin. J. Eng. 38(10), 1482 (2016)Google Scholar
  3. 3.
    Wang, J.S.: Design and implementation of mobile power supply based on PTC & NTC. Soochow University, Suzhou (2015)Google Scholar
  4. 4.
    Chen, G.G.: Research on integrated performance measurement technology of mobile power supply. Archit. Build. Mater. Decor. 16, 279 (2015)CrossRefGoogle Scholar
  5. 5.
    Lai, H., Liu, T.M.: Temperature filed ANSYS simulation in quenching process of 45 teel part. J. Chongqing Univ. (Nat. Sci. Ed.) 26(03), 82 (2003)Google Scholar
  6. 6.
    Guo, G.F., Long, B., Cheng, B., et al.: Three-dimensional thermal finite element modeling of lithium-ion battery in thermal abuse application. J. Power Sources 195, 2393–2398 (2010)CrossRefGoogle Scholar
  7. 7.
    Cai, H.Q.: Precautions for the use of mobile power supply. Pop. Util. Electr. (06), 46 (2016)Google Scholar
  8. 8.
    Jacoby, M.: Assessing the safety of lithium-ion batteries. Chem. Eng. News 91, 33–37 (2013)Google Scholar
  9. 9.
    Xue, Y.L., Wang, Z.R.: Network simulation for the smoke movement in the corridor of high-rises under the coupling effects of the thermal buoyancy and wind pressure. J. Saf. Environ. 15(04), 126 (2015)Google Scholar
  10. 10.
    Jhu, C.Y., Wang, Y.W., Shu, C.M., et al.: Thermal explosion hazards on 18650 lithium ion batteries with a VSP2 adiabatic calorimeter. J. Hazard. Mater. 192, 99–107 (2011)Google Scholar
  11. 11.
    Yang, G., Wu, X.P., Chang, H.B.: Research on synthesized fault diagnosis technique based on fuzzy gray relational neural network. J. Wuhan Univ. Technol (Transportation Science & Engineering) 32(05), 861 (2008)Google Scholar
  12. 12.
    Erdinc, O., Vural, B., Uzunoglu, M.: A dynamic lithium-ion battery model considering the effects of temperature and capacity fading. In: IEEE International Conference on Clean Electrical Power, pp. 383–386 (2009)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Guozhong Huang
    • 1
  • Nan Wang
    • 1
    Email author
  • Siheng Sun
    • 1
  • Xiao Yang
    • 1
  1. 1.School of Civil & Resources EngineeringUniversity of Science and Technology BeijingBeijingChina

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