Journal of Jilin University(Engineering and Technology Edition) ›› 2024, Vol. 54 ›› Issue (3): 600-609.doi: 10.13229/j.cnki.jdxbgxb.20221098

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

Jing-hua ZHAO1,2,3(),Yu-tong ZHANG1,Pai CAO1(),Zhong-shu WANG2,Xiao-ping LI2,Ya-nan SUN3,Fang-xi XIE2,3   

  1. 1.College of Computer，Jilin Normal University，Siping 136000，China
    2.State Key Laboratory of Automotive Simulation and Control，Jilin University，Changchun 130022，China
    3.Jiangsu Hanxuhe Power Technology Co. ，Ltd. ，Yangzhou 225000，China
  • Received:2022-08-26 Online:2024-03-01 Published:2024-04-18
  • Contact: Pai CAO E-mail:zhaojh08@mails.jlu.edu.cn;rajacakkavattin@foxmail.com

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Abstract:

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.

Key words: automatic control technology, model predictive control, energy management, extended-range electric vehicle, compressed natural gas engine

CLC Number: 

  • TP273

Fig.1

E-REV with CNG engine"

Table 1

Vehicle model parameters"

变量数值变量数值
车辆质量M/kg1254主减速比i04.05
空气密度ρ/（kg·m-3）1.2一档速比i13.608
车辆迎风面积Af/m22.52二档速比i22.05
空气阻力系数Cd0.3三档速比i31.237
滚动阻力系数β0.015四挡速比i40.91
轮胎半径r/m0.287五挡速比i50.747
传动效率ηt0.96

Fig.2

External characteristic curve of a CNG engine"

Fig.3

Verification results of a CNG engine model under steady state conditionse"

Fig.4

Equal power contours of an electric motor （the solid lines represent power based on dimensional polynomial by fitting）"

Fig.5

Fitting relationship between Rint and SoC"

Fig.6

Working process of E-REV under the rule‐based method"

Fig.7

Working process of the CNG engine"

Fig.8

Comparison of energy allocation control results between rule‐based control and MPC method"

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