Optimal energy management on extended⁃range electric vehicle equipped with compressed natural gas engine

被引：0
|
作者：
Zhao J.-H. [1 ,2 ,3 ]
Zhang Y.-T. [1 ]
Cao P. [1 ]
Wang Z.-S. [2 ]
Li X.-P. [2 ]
Sun Y.-N. [3 ]
Xie F.-X. [2 ,3 ]
机构：
[1] College of Computer, Jilin Normal University, Siping
[2] State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun
[3] Jiangsu Hanxuhe Power Technology Co.，Ltd., Yangzhou
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2024年 / 54卷 / 03期
关键词：
automatic control technology; compressed natural gas engine; energy management; extended-range electric vehicle; model predictive control;
D O I：
10.13229/j.cnki.jdxbgxb.20221098
中图分类号：
学科分类号：
摘要：
An extended-range electric vehicle model with a compressed natural gas（CNG）engine was established referring to the experimental test data of the CNG engine. A rule‐based method for power split was proposed to ensure that the CNG engine works in the high-efficiency area. However，its current fluctuates greatly，which will result in a damaged battery. In order to suppress the current surge and further improve fuel consumption，a model predictive control（MPC）method for power split coordinating fuel consumption and battery protection was proposed. Simulation results show that the proposed MPC method can further reduce fuel consumption by 3.7% and suppress the current surge for effectively protecting the battery，as compared to the rule‐based method under a world light test cycle（WLTC）driving cycle. © 2024 Editorial Board of Jilin University. All rights reserved.
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收藏
页码：600 / 609
页数：9
相关论文
共 22 条
  • [1] Zhao J H, Hu Y F, Gao B Z., Sequential optimization of eco-driving taking into account fuel economy and emissions, IEEE Access, 7, pp. 130841-130853, (2019)
  • [2] Vojtisek-Lom M, Fenkl M, Dufek M, Et al., Off-cycle, real-world emissions of modern light duty diesel vehicles
  • [3] Reitz R D, Ogawa H, Payri R, Et al., IJER editorial: the future of the internal combustion engine, International Journal of Engine Research, 21, 1, pp. 3-10, (2020)
  • [4] Feng Jian, Han Zhi-yu, Gao Xiao-jie, Et al., Energy consumption analysis of a range-extender electric vehicle based on a dynamic programming algorithm and road conditions, Journal of Tongji University (Natural Science), 47, 1, pp. 115-119, (2019)
  • [5] Shen Yong-peng, Study on the energy management and operating optimization for range extended electric vehicle, (2015)
  • [6] Schouten N J, Salman M A, Kheir N A., Fuzzy logic control for parallel hybrid vehicles, IEEE Transactions on Control Systems Technology, 10, 3, pp. 460-468, (2002)
  • [7] Prokhorov D V., Toyota prius HEV neuro control and diagnostics, Neural Networks, 21, 2, pp. 458-465, (2008)
  • [8] Wang Xiao-le, Gan Pin, Chen Ling-shan, Et al., Study on extended-range electric vehicle engine's multiple operation points control strategy, Journal of Jiangnan University (Natural Science Edition), 14, 1, pp. 56-63, (2015)
  • [9] Xu Lie, Chen Zhou-huan, Bai Qin, Et al., A control strategy on engine for range extended electric vehicle (REEV), Proceedings of the 2019 Annual Conference of the Chinese Society of Automotive Engineers, pp. 354-358, (2019)
  • [10] Luo Guang-ju, Deng Xiao-ting, Lu Zhi-xiong, Et al., Research on influence of engine management strategy on fuel economy of extended range electric vehicle, Journal of Chinese Internal Combustion Engine Engineering, 41, 4, pp. 79-86, (2020)
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