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Analysis and Optimization of Transient Mode Switching Behavior for Power Split Hybrid Electric Vehicle with Clutch Collaboration

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Abstract

The power split hybrid electric vehicle (HEV) adopts a power coupling configuration featuring dual planetary gearsets and multiple clutches, enabling diverse operational modes through clutch engagement and disengagement. The multi-clutch configuration usually involves the collaboration of two clutches during the transient mode switching process, thereby substantially elevating control complexity. This study focuses on power split HEVs that integrate multi-clutch mechanisms and investigates how different clutch collaboration manners impact the characteristics of transient mode switching. The powertrain model for the power-split HEV is established utilizing matrix-based methodologies. Through the formulation of clutch torque curves and clutch collaboration models, this research systematically explores the effects of clutch engagement timing and the duration of clutch slipping state on transient mode switching behaviors. Building upon this analysis, an optimization problem for control parameters pertaining to the two collaborative clutches is formulated. The simulated annealing algorithm is employed to optimize these control parameters. Simulation results demonstrate that the clutch collaboration manners have a great influence on the transient mode switching performance. Compared with the pre-calibrated benchmark and the optimal solution derived by the genetic algorithm, the maximal longitudinal jerk and clutch slipping work during the transient mode switching process is reduced obviously with the optimal control parameters derived by the simulated annealing algorithm. The study provides valuable insights for the dynamic coordinated control of the power-split HEVs featuring complex clutch collaboration mechanisms.

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Abbreviations

DOF:

Degree of freedom

GA:

Genetic algorithm

HEV:

Hybrid electric vehicle

PGA:

Planetary gearset A

PGB:

Planetary gearset B

SA:

Simulated annealing

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Acknowledgements

The work is funded by the National Natural Science Foundation of China (Grant No. 51905219 and No. 52272368), the Postdoctoral Science Foundation of China (Grant No. 2023M731444), the Young Elite Scientists Sponsorship Program by CAST (2020QNRC001), the Key Research and Development Program of Zhenjiang City (No. GY2021001) and the Project of Faculty of Agricultural Equipment of Jiangsu University (No. NZXB20210103).

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Authors and Affiliations

  1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, 212013, China

    Dehua Shi, Sheng Liu, Yujie Shen, Shaohua Wang, Chaochun Yuan & Long Chen

  2. Jiangsu Province Engineering Research Center of Electric Drive System and Intelligent Control for Alternative Vehicles, Zhenjiang, 212013, China

    Dehua Shi & Shaohua Wang

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  1. Dehua Shi
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  2. Sheng Liu
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  3. Yujie Shen
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  4. Shaohua Wang
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Correspondence to Shaohua Wang.

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Academic Editor: Peng Dong

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Shi, D., Liu, S., Shen, Y. et al. Analysis and Optimization of Transient Mode Switching Behavior for Power Split Hybrid Electric Vehicle with Clutch Collaboration. Automot. Innov. 7, 150–165 (2024). https://doi.org/10.1007/s42154-023-00276-7

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  • DOI: https://doi.org/10.1007/s42154-023-00276-7

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