LAPSE:2023.32621
Published Article

LAPSE:2023.32621
Adaptive Mode Selection Strategy for Series-Parallel Hybrid Electric Vehicles Based on Variable Power Reserve
April 20, 2023
Abstract
When the series-parallel hybrid electric vehicle exits the pure electric mode, the battery provides power for the drive motor and integrated starter generator (ISG) to drive the vehicle and start the engine. If the battery discharge power is insufficient, the driving power will drop, which will inhibit the vehicle from accelerating and impair drivability. Considering that the mode selection strategy determines the timing of mode switching, this paper proposes an adaptive mode selection strategy based on variable power reserve to allow the vehicle to switch mode considering the battery power limitation. The effectiveness of this strategy is verified by simulation, and its influence on fuel consumption and battery utilization is analyzed. Compared with the mode selection strategy based on logic thresholds at the same initial battery state of charge (SOC), under the high-speed and aggressive US06 cycle, the total driving power drop is reduced by 74.2%, and the over-discharge power of the battery is fully restrained while keep almost the same fuel consumption; under the city FTP cycle, the total driving power drop is reduced 65%, and fuel consumption is reduced while maintaining SOC at a reasonable level.
When the series-parallel hybrid electric vehicle exits the pure electric mode, the battery provides power for the drive motor and integrated starter generator (ISG) to drive the vehicle and start the engine. If the battery discharge power is insufficient, the driving power will drop, which will inhibit the vehicle from accelerating and impair drivability. Considering that the mode selection strategy determines the timing of mode switching, this paper proposes an adaptive mode selection strategy based on variable power reserve to allow the vehicle to switch mode considering the battery power limitation. The effectiveness of this strategy is verified by simulation, and its influence on fuel consumption and battery utilization is analyzed. Compared with the mode selection strategy based on logic thresholds at the same initial battery state of charge (SOC), under the high-speed and aggressive US06 cycle, the total driving power drop is reduced by 74.2%, and the over-discharge power of the battery is fully restrained while keep almost the same fuel consumption; under the city FTP cycle, the total driving power drop is reduced 65%, and fuel consumption is reduced while maintaining SOC at a reasonable level.
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Keywords
adaptive mode selection, drivability, hybrid electric vehicle, mode switching, variable power reserve
Subject
Suggested Citation
Fan J, Zu B, Zhou J, Wang Z, Wang H. Adaptive Mode Selection Strategy for Series-Parallel Hybrid Electric Vehicles Based on Variable Power Reserve. (2023). LAPSE:2023.32621
Author Affiliations
Fan J: Internal Combustion Engine Research Institute, Tianjin University, Tianjin 300072, China; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China [ORCID]
Zu B: Internal Combustion Engine Research Institute, Tianjin University, Tianjin 300072, China; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China
Zhou J: Tianjin Trumpjet Power Technology Co., Ltd., Tianjin 300072, China
Wang Z: Internal Combustion Engine Research Institute, Tianjin University, Tianjin 300072, China; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China
Wang H: Internal Combustion Engine Research Institute, Tianjin University, Tianjin 300072, China
Zu B: Internal Combustion Engine Research Institute, Tianjin University, Tianjin 300072, China; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China
Zhou J: Tianjin Trumpjet Power Technology Co., Ltd., Tianjin 300072, China
Wang Z: Internal Combustion Engine Research Institute, Tianjin University, Tianjin 300072, China; School of Mechanical Engineering, Tianjin University, Tianjin 300072, China
Wang H: Internal Combustion Engine Research Institute, Tianjin University, Tianjin 300072, China
Journal Name
Energies
Volume
14
Issue
11
First Page
3171
Year
2021
Publication Date
2021-05-28
ISSN
1996-1073
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Original Submission
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PII: en14113171, Publication Type: Journal Article
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LAPSE:2023.32621
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https://doi.org/10.3390/en14113171
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[v1] (Original Submission)
Apr 20, 2023
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Apr 20, 2023
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