Key Technologies For Abnormal Fuel Consumption Monitoring Of Hybrid Diesel Engine

Jizhou Li

doi:10.6180/jase.202309_26(9).0009

Key Technologies For Abnormal Fuel Consumption Monitoring Of Hybrid Diesel Engine

Mechanical Engineering

Jizhou LiThis email address is being protected from spambots. You need JavaScript enabled to view it.

School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received: July 18, 2022
Accepted: October 13, 2022
Publication Date: December 14, 2022

Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.6180/jase.202309_26(9).0009

In order to accurately monitor the fuel consumption of hybrid diesel engine, a new key technology for monitoring abnormal fuel consumption of hybrid diesel engine was proposed. According to the structure of the hybrid diesel engine, the data sampling interval is set to collect information and synthesize the driving conditions of the hybrid diesel engine under different working conditions. The equivalent relationship between fuel consumption and electric energy of hybrid diesel engine is established, the equivalent fuel consumption rate of hybrid diesel engine is calculated, and the distribution power of diesel engine and motor is determined according to the abnormal fuel consumption value, and the instantaneous fuel consumption of hybrid diesel engine is obtained. On this basis, the output power sequence of APU and battery is analyzed, and the abnormal fuel consumption of hybrid diesel engine is monitored. The experimental results show that compared with the traditional fuel consumption monitoring technology, this technology can accurately detect the abnormal fuel consumption of hybrid diesel engine, and the energy recovery rate is high.

Keywords: Hybrid diesel engine; Abnormal fuel consumption; Monitoring technology; Operating conditions

[1] Evan, Graves, Hwan-Sik, Yoon, Travis, Foust, Joshua, McCoskey, Ryan, and Jones, (2016) “Effect of an electric vehicle mode in a plug-in hybrid electric vehicle with a post-transmission electric motor" International Journal of Electric and Hybrid Vehicles 8(4): 302–320.
[2] J. Faett, (2012) “Integrating advanced power management" Consulting-specifying engineer 49(10): 90–92.
[3] J. Jin and Z. Shao, (2006) “Design of the lithium-ion battery charger based on portable computer" Chinese Journal of Power Sources 30(8): 672–676.
[4] A. Mustayen, X. Wang, M. G. Rasul, J. M. Hamilton, and M. Negnevitsky, (2021) “Theoretical Investigation of Combustion and Performance Analysis of Diesel Engine under Low Load Conditions" IOP Conference Series: Earth and Environmental Science 838(1): 012013 (10pp).
[5] P. Plötz, C. Moll, G. Bieker, and P. Mock, (2021) “From lab-to-road: Real-world fuel consumption and CO2 emissions of plug-in hybrid electric vehicles" Environmental Research Letters 16(5): 054078.
[6] Group, Diesel Fuel News, (2013) “CARB Seeks All- Electric or Hybrid Technologies for Port, Intermodal Equipment" Diesel Fuel News (17-18):
[7] A. Paykani and M. T. Shervani-Tabar, (2011) “A comparative study of hybrid electric vehicle fuel consumption over diverse driving cycles" Theoretical and Applied Mechanics Letters 1(5): 052005. [8] S. F. Z. Abidin, A. Khalid, S. Zanalli, I. Zahari, R. I. A. Jalal, M. A. Abas, and H. Koten, (2021) “The effect of 48V mild hybrid technology on fuel consumption of a passenger car by using simulation cycle" Case Studies in Thermal Engineering 28: 101492.
[8] S. F. Z. Abidin, A. Khalid, S. Zanalli, I. Zahari, R. I. A. Jalal, M. A. Abas, and H. Koten, (2021) “The effect of 48V mild hybrid technology on fuel consumption of a passenger car by using simulation cycle" Case Studies in Thermal Engineering 28: 101492.
[9] B. Berenberg, (2004) “RTM process turns out highquality jet engine blades" High-Performance Composites (4): 12.
[10] S. Li, X. Wang, Y. Yu, S. Cao, J. Liu, P. Zhao, J. Li, X. Zhang, X. Li, and N. a. Zhang, (2022) “Establishment and application of a CRISPR-Cas12a-based RPA-LFS and fluorescence for the detection of Trichomonas vaginalis" Parasites & Vectors 15(1): 1–13.
[11] Y. Bian, (2013) “Polarimetric SAR statistical analysis using alpha-stable distribution and its application in optimal despeckling" International journal of remote sensing 34(19): 6796–6836.
[12] F. J. Arnau, J. Martin, P. Piqueras, and A. Aunon, (2021) “Effect of the exhaust thermal insulation on the engine efficiency and the exhaust temperature under transient conditions" Current drug targets-The International journal for timely in-depth reviews on drug targets (9): 22.
[13] H. Chen, S. Feng, X. Pei, Z. Zhang, and D. Yao, (2017) “Dangerous driving behavior recognition and prevention using an autoregressive time-series model" Tsinghua science and technology 22(6): 682–690.
[14] S. Poupry, C. Béler, and K. Medjaher, (2022) “Development of a reliable measurement station for air quality monitoring based on low-cost sensors and active redundancy" IFAC-PapersOnLine 55(5): 7–12.
[15] A. Paykani and M. T. Shervani-Tabar, (2011) “A comparative study of hybrid electric vehicle fuel consumption over diverse driving cycles" Theoretical and Applied Mechanics Letters 1(5): 052005.
[16] M. Arslan, I. Ahmad, M. K. Azeem, and M. Liaquat, (2021) “Dual-stage adaptive control of hybrid energy storage system for electric vehicle application" Journal of Energy Storage (Nov.): 43.
[17] B. Yan, L. Tong, H. Wang, Z. Zheng, Y. Qin, and M. Yao, (2017) “Experimental and numerical investigation of the effects of combustion chamber reentrant level on combustion characteristics and thermal efficiency of stoichiometric operation natural gas engine with EGR" Applied Thermal Engineering 123: 1473–1483.
[18] H. C. Patel, T. Woudstra, and P. V. Aravind, (2012) “Thermodynamic Analysis of Solid Oxide Fuel CellGas Turbine Systems Operating with Various Biofuels" Fuel cells (6): 12.
[19] X. Lin, S. Wei, and J. Wu, (2022) “The Tradeoff Power Distribution Strategy Based on the Genetic -Pareto Algorithm for a Dual-Motor Coupling-Propulsion Electric Vehicle" Journal of Dynamic Systems, Measurement, and Control (6): 144.
[20] S. Xie, S. Qi, and K. Lang, “A Data-Driven Power Management Strategy for Plug-In Hybrid Electric Vehicles Including Optimal Battery Depth of Discharging" IEEE Transactions on Industrial Informatics 16(5): 3387–3396.