4.4 Article

Modeling and energy management strategy research of a power-split hybrid electric vehicle

Journal

ADVANCES IN MECHANICAL ENGINEERING
Volume 12, Issue 10, Pages -

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/1687814020962624

Keywords

Hybrid electric vehicle; power split; energy management; control strategy; fuel economy

Funding

  1. National Natural Science Foundation of China [51705534]
  2. Fundamental Research Funds for the Central Universities [18CX02085A]
  3. Key Scientific Innovation Project of Shandong Provincial [2017CXGC0902]
  4. Project of Hubei University of Arts and Science [XK2020012]
  5. Hubei Superior and Distinctive Discipline Group of ''Mechatronics and Automobiles'' [XKQ2020005]
  6. Hubei Provincial Natural Science Foundation [2018CFB313]

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A power-split hybrid electric vehicle with a dual-planetary gearset is researched in this paper. Based on the lever analogy method of planetary gearsets, the power-split device is theoretically modeled, and the driveline simulation model is built by using vehicle modeling and simulation toolboxes in MATLAB. Six operation modes of the vehicle are discussed in detail, and the kinematic constraint behavior of power sources are analyzed. To verify the rationality of the modeling, a rule-based control strategy (RB) and an adaptive equivalent consumption minimization strategy (A-ECMS) are designed based on the finite state machine and MATLAB language respectively. In order to demonstrate the superiority of A-ECMS in fuel-saving and to explore the impact of different energy management strategies on emission, fuel economy and emission performance of the vehicle are simulated and analyzed under UDDS driving cycle. The simulation results of the two strategies are compared in the end, shows that the modeling is rational, and compared with RB strategy, A-ECMS ensures charge sustaining better, enables power sources to work in more efficient areas, and improves fuel economy by 8.65%, but significantly increases NO(x)emissions, which will be the focus of the next research work.

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