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Effects analysis on optimal microwave energy consumption in the heating process of composite regeneration for the diesel particulate filter

Author

Listed:
  • E, Jiaqiang
  • Zhao, Xiaohuan
  • Liu, Guanlin
  • Zhang, Bin
  • Zuo, Qingsong
  • Wei, Kexiang
  • Li, Hongmei
  • Han, Dandan
  • Gong, Jinke

Abstract

It is difficult for diesel vehicle battery to meet microwave energy consumption during regeneration of diesel particulate filter, which restricts the application of microwave regeneration technology. In order to minimize the microwave energy consumption during the composite regeneration heating phase of the diesel particulate filter, an optimal microwave energy consumption model is established in this study based on the Functional Analysis Principles. The solution of this optimal model is simulated by the Adaptive Variable Scale Chaos Immune Algorithm. The optimized results are got and verified by experiments under different experimental cases. The simulation results show that an optimal microwave power and regeneration heating time can be effectively obtained during the composite regeneration heating phase. The experimental results indicate that optimization microwave energy consumption under 4 experimental cases decrease by 5.65%, 5.70%, 10.64% and 14.64% compared with that unoptimized data of 93.8 kJ, 75.6 kJ, 65.8 kJ and 56.7 kJ, respectively. The ratio of efficiency to energy of the optimized cases is higher than that of the cases without optimization. The effects of optimal microwave energy consumption in the heating process of composite regeneration are investigated. Moreover, the microwave assisted composite regeneration can save about 24% and 48% energy by contrast of the microwave regeneration and fuel post-injection regeneration. The proposed microwave energy consumption optimization method can save microwave energy and meet the regeneration performance requirement of the diesel particulate filter.

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  • E, Jiaqiang & Zhao, Xiaohuan & Liu, Guanlin & Zhang, Bin & Zuo, Qingsong & Wei, Kexiang & Li, Hongmei & Han, Dandan & Gong, Jinke, 2019. "Effects analysis on optimal microwave energy consumption in the heating process of composite regeneration for the diesel particulate filter," Applied Energy, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:appene:v:254:y:2019:i:c:s0306261919314230
    DOI: 10.1016/j.apenergy.2019.113736
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    3. Gang Wu & Guoda Feng & Yuelin Li & Tao Ling & Xuejun Peng & Zhilai Su & Xiaohuan Zhao, 2024. "A Review of Thermal Energy Management of Diesel Exhaust after-Treatment Systems Technology and Efficiency Enhancement Approaches," Energies, MDPI, vol. 17(3), pages 1-32, January.
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    13. Ye, Jiahao & E, Jiaqiang & Peng, Qingguo, 2023. "Effects of porosity setting and multilayers of diesel particulate filter on the improvement of regeneration performance," Energy, Elsevier, vol. 263(PE).
    14. Zhao, Xiaohuan & Jiang, Jiang & Zuo, Hongyan & Mao, Zhengsong, 2023. "Performance analysis of diesel particulate filter thermoelectric conversion mobile energy storage system under engine conditions of low-speed and light-load," Energy, Elsevier, vol. 282(C).
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    16. Zhao, Xiaohuan & Zuo, Hongyan & Jia, Guohai, 2022. "Effect analysis on pressure sensitivity performance of diesel particulate filter for heavy-duty truck diesel engine by the nonlinear soot regeneration combustion pressure model," Energy, Elsevier, vol. 257(C).
    17. E, Jiaqiang & Zeng, Yan & Jin, Yu & Zhang, Bin & Huang, Zhonghua & Wei, Kexiang & Chen, Jingwei & Zhu, Hao & Deng, Yuanwang, 2020. "Heat dissipation investigation of the power lithium-ion battery module based on orthogonal experiment design and fuzzy grey relation analysis," Energy, Elsevier, vol. 211(C).
    18. Yu, Wenbin & Zhao, Feiyang & Yang, Wenming, 2020. "Qualitative analysis of particulate matter emission from diesel engine fueled with Jet A-1 under multivariate combustion boundaries by principal component analysis," Applied Energy, Elsevier, vol. 269(C).

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